Yuan Yan TANG唐遠炎
Emeritus Chair Professor
IEEE Fellow, IAPR Fellow

Academic Qualification

Ph.D. Computer Science, Concordia University, Montreal, Canada, 1990.
M.S. Electrical and Electronic Engineering, Beijing Institute of Posts and Telecommunications, Beijing, China, 1981.
B.S Electrical and Electronic Engineering, Chongqing University, Chongqing, China, 1966.

Working Experience

2011-Present Chair Professor, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau.
2011-Present Honorary Professor, Department of Computer Science, Hong Kong Baptist University.
2004-2010 Chair Professor, Department of Computer Science, Hong Kong Baptist University.
2006-2011 Dean, College of Computer Science, Chongqing University, Chongqing, China.
2000-2004 Full Professor, Department of Computer Science, Hong Kong Baptist University.
1995-2000 Associate Professor, Department of Computer Science, Hong Kong Baptist University.
1995-Present Adjunct Professor, Concordia University, Montreal, Canada.
1990-1995 Research Fellow, Department of Computer Science, Concordia University, Montreal, Canada.
1966-1978 Worked in China.

Award and Honor

  1. Natural Science Award of Chongqing, the Second Prize, Chongqing Government of China, 2011. (2011年度重庆市自然科学二等奖)
  2. Natural Science Award of Chongqing, the Second Prize, Chongqing Government of China, 2008. (2008年度重庆市自然科学二等奖)
  3. Natural Science Award of Ministry of Education, the First Prize, Ministry of Education of China, 2005. (2005年度中国教育部自然科学一等奖)
  4. IEEE Fellow, 2004
  5. IAPR Fellow, 2004 (IAPR-Pattern Recognition Society)
  6. Hong Kong Baptist University President Award, 2003.

Teaching

2011-Present
(University of Macau)
  • IMSS014-Advanced Topics in Computer Science (Image Processing and Pattern Recognition).
  • IMSS015-Advanced Topics in Computer Science (Methods, Techniques and Tools of Research in Intelligence Science).
1995-2010
(Hong Kong Baptist University)
  • Advanced Pattern Recognition
  • Computer Vision
  • Advanced Signal Processing
  • Computer Organization
1990-1995
(Canada Concordia University)
  • Operating Systems
  • Expert Systems
  • Artificial Intelligence
  • Computer Organization
2011-Present Thesis Advisor for 4 Ph.D. students and 12 Masters students at University of Macau.
1995-2010 Thesis Advisor for 14 Ph.D. students and 1 Masters students at Hong Kong Baptist University (completed).
2006-2012 Thesis Advisor for 8 Ph.D. students and 10 Masters students at Chongqing University, China (completed).

Research

Research Interests

Pattern recognition, Image/Signal processing, Wavelet analysis, Chinese computing, Machine learning.

Recent Research Projects (Since 2002 – present)

2013-1016 National Natural Science Foundation of China (国家自然科学基金), No. 61273244, ¥830,000
2012-2014 University of Macau Grant: Integral Equation-Wavelet Collocation (IEWC) Method for Geometric Transformation and Application to Image Restoration.
2011-2014 University of Macau Grant: Revenue-Oriented VoD System Design in Next Generation Optical Access Networks
2011-2011 University of Macau Grant: Analysis of Property of Data Set of Chinese Characters.
2005-2007 National Natural Science Foundation of China (国家自然科学基金), No. 60403011, ¥250,000.
2005-2007 National Natural Science Foundation of China (国家自然科学基金), No. 60475042, ¥260,000.
2002-2010 17 Grants from Hong Kong, About HK$3,200,000.

Publications

SCI Journal Papers

2022

  1. H Yuan, J Li, Y Liang, YY Tang, Multi-view unsupervised feature selection with tensor low-rank minimization, Neurocomputing 487, 75-85
  2. Z Dong, Y Qin, B Zou, J Xu, YY Tang, LMSVCR: novel effective method of semi-supervised multi-classification, Neural Computing and Applications 34 (5), 3857-3873
  3. L Yang, Y Liu, H Luo, X Li, YY Tang, Visualization of RNA secondary structure with pseudoknots, International Journal of Wavelets, Multiresolution and Information
  4. L Xu, B Zhou, X Li, Z Wu, Y Chen, X Wang, Y Tang, Gaussian process image classification based on multi-layer convolution kernel function, Neurocomputing
  5. X Sun, X Zhang, C Xu, M Xiao, Y Tang, Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach, IEEE Transactions on Cybernetics
  6. F Hao, T Zhang, L Zhao, Y Tang, Efficient residual attention network for single image super-resolution, Applied Intelligence 52 (1), 652-661

2021

  1. B Zou, H Jiang, C Xu, J Xu, X You, YY Tang, Learning Performance of Weighted Distributed Learning With Support Vector Machines, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3131424, 1-12, 2021.
  2. L Xu, L Cui, T Weise, X Li, Z Wu, F Nie, E Chen, Y Tang, Semi-supervised multi-Layer convolution kernel learning in credit evaluation, Pattern Recognition 120, 108125, 2021.
  3. Z Dong, Y Qin, B Zou, J Xu, YY Tang, LMSVCR: novel effective method of semi-supervised multi-classification Neural Computing and Applications, 1-17, 2021.
  4. Y Duan, B Zou, J Xu, F Chen, J Wei, YY Tang, OAA-SVM-MS: A fast and efficient multi-class classification algorithm,Neurocomputing 454, 448-460, 2021.
  5. L Yang, Y Liu, H Luo, X Li, YY Tang, Visualization of RNA secondary structure with pseudoknots, International Journal of Wavelets, Multiresolution and Information, 2150036, 2021.
  6. L Yang, H Deng, RP Liu, P Wang, X Dang, YY Tang, X Li, Smart Home Privacy Protection Based on the Improved LSB Information Hiding, International Journal of Pattern Recognition and Artificial Intelligence, 2160005, 2021.
  7. J Tan, T Zhang, L Zhao, X Luo, YY Tang, A robust image representation method against illumination and occlusion variations, Image and Vision Computing 112, 104212, 2021.
  8. K Huang, LX Yang, X Yang, YY Tang, Effective Multiplatform Advertising Policy, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 10.1109/TSMC.2021.3096008, 2021.
  9. F Hao, X Ma, T Zhang, Y Tang, Channel Hourglass Residual Network For Single Image Super-Resolution, 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021.
  10. L Yin, C Yu, Y Wang, B Zou, YY Tang, Ultrarobust support vector registration, Applied Intelligence 51 (6), 3664-3683, 2021.
  11. B Wang, D Tao, R Dong, Y Tang, X Gao, A Contour Co-Tracking Method for Image Pairs, IEEE Transactions on Image Processing 30, 5402-5412, 2021.
  12. F Hao, T Zhang, L Zhao, Y Tang, Efficient residual attention network for single image super-resolution, Applied Intelligence, 1-10, 2021.
  13. Y Nie, T Zhang, L Zhao, X Ma, Y Tang, X Liu, Siamese Pyramid Residual Module with Local Binary Convolution Network for Single Object Tracking, International Journal of Wavelets, Multiresolution and Information Processing, 10.1142/S0219691321500260, 2021.
  14. Y Wang, KI Kou, C Zou, YY Tang, Robust Sparse Representation in Quaternion Space, IEEE Transactions on Image Processing 30, 3637-3649, 2021.
  15. J Tan, T Zhang, L Zhao, X Luo, YY Tang, Multi-focus image fusion with Geometrical Sparse Representation, Signal Processing: Image Communication 92, 116130, 2021.
  16. Y Li, J Zhou, J Tian, X Zheng, YY Tang, Weighted error entropy-based information theoretic learning for robust subspace representation, IEEE Transactions on Neural Networks and Learning Systems, 33606640, 1-15, 2021.
  17. L Xu, L Bai, J Xiao, Q Liu, E Chen, X Wang, Y Tang, Multiple graph kernel learning based on GMDH-type neural network, Information Fusion 66, 100-110, 2021.
  18. C Zou, KI Kou, Y Wang, YY Tang, Quaternion block sparse representation for signal recovery and classification, Signal Processing 179, 107849, 2021.
  19. X Ma, J Gao, X Liu, T Zhang, Y Tang, Probabilistic Non-Negative Matrix Factorization with Binary Components, Mathematics 9 (11), 1189, 2021.

2020

  1. Jian Chen, Lu-Xing Yang, Xiaofan Yang, Yuan Yan Tang, “Cost-effective anti-rumor message-pushing schemes,” Physica A-Statistical Mechanics and Its Applications, Volume: 540, Article Number: 123085, 2020.
  2. Yulong Wang, Yuan Yan Tang, Cuiming Zou, Luoqing Li, Hong Chen, “Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification,” Neurocomputing, Volume: 372. Pages: 73-83, 2020.
  3. LX Yang, K Huang, X Yang, Y Zhang, Y Xiang, YY Tang, Defense against advanced persistent threat through data backup and recovery, IEEE Transactions on Network Science and Engineering 8 (3), 2001-2013, 2020.
  4. L Yang, P Wei, C Zhong, X Li, YY Tang, Protein structure prediction based on BN-GRU method, International Journal of Wavelets, Multiresolution and Information Processing, 18(6) 1050045, 2020.
  5. H Jiang, B Zou, C Xu, J Xu, YY Tang, SVM-Boosting based on Markov resampling: Theory and algorithm, Neural Networks 131, 276-290, 2020.
  6. Y Cao, H Qi, J Gui, K Li, YY Tang, JTY Kwok, Learning to hash with a dimension analysis-based quantizer for image retrieval, IEEE Transactions on Multimedia, 23, 3907-3918, 2020.
  7. Y Wang, YP Tan, YY Tang, H Chen, C Zou, L Li, Generalized and discriminative collaborative representation for multiclass classification, IEEE Transactions on Cybernetics, 33001820, 1-12,  2020.
  8. DW Huang, LX Yang, X Yang, YY Tang, J Bi, Defending against Online Social Network Rumors through Optimal Control Approach, Discrete Dynamics in Nature and Society, 6263748,  2020.
  9. DW Huang, LX Yang, P Li, X Yang, YY Tang, Developing cost-effective rumor-refuting strategy through game-theoretic approach, IEEE Systems Journal, arXiv:2009.08246, 2020.
  10. K Shi, J Wang, S Zhong, Y Tang, J Cheng, Non-fragile memory filtering of TS fuzzy delayed neural networks based on switched fuzzy sampled-data control, Fuzzy Sets and Systems 394, 40-64, 2020.
  11. H Peng, K Huang, LX Yang, X Yang, YY Tang, Dynamic Maintenance Strategy for Word-of-Mouth Marketing,IEEE Access 8, 126496-126503, 2020.
  12. L Xie, W Guo, H Wei, Y Tang, D Tao, Efficient Unsupervised Dimension Reduction for Streaming Multiview Data, IEEE Transactions on Cybernetics, 32525809, 1-13, 2020.
  13. H Yuan, J Li, LL Lai, YY Tang, Low-rank matrix regression for image feature extraction and feature selection, Information Sciences 522, 214-226, 2020.
  14. L Zhao, Z Shang, J Tan, X Luo, T Zhang, Y Wei, YY Tang, Adaptive parameter estimation of GMM and its application in clustering, Future Generation Computer Systems 106, 250-259, 2020
  15. K Shi, S Zhong, Y Tang, J Cheng, Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks, Neurocomputing 387, 241-254, 2020.
  16. K Shi, S Zhong, Y Tang, J Cheng, Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks, Neurocomputing 387, 241-254, 2020.
  17. K Shi, J Wang, Y Tang, S Zhong, Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies, Fuzzy Sets and Systems 381, 1-25, 2020.
  18. J Yang, Z Lu, YY Tang, Z Yuan, Y Chen, Quasi Fourier-Mellin transform for affine invariant features, IEEE Transactions on Image Processing 29, 4114-4129, 2020.
  19. DW Huang, LX Yang, X Yang, X Zhong, YY Tang, Evaluating the Performance of a Static Patching Strategy against Computer Viruses, Complexity, 9408942 , 2020.
  20. LX Yang, P Li, X Yang, Y Xiang, YY Tang, Simultaneous benefit maximization of conflicting opinions: Modeling and analysis, IEEE Systems Journal 14 (2), 1623-1634, 2020.
  21. A Qin, L Xian, Y Yang, T Zhang, YY Tang, Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm, Sensors 20 (21), 6111, 2020.

2019

  1. Linchang Zhao, Zhaowei Shang, Anyong Qin, Taiping Zhang, Ling Zhao, Yu Wei, Yuan Yan Tang, “A Cost-Sensitive Meta-Learning Classifier: SPFCNN-Miner,” Future Generation Computer Systems-The International Journal of Escience Volume: 100, Pages: 1031-1043, 2019.
  2. Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You, “New Incremental Learning Algorithm With Support Vector Machines,” IEEE Transactions on Systems Man Cybernetics – Systems, Volume: 49, Issue: 11,  Pages: 2230-2241, 2019.
  3. Lina Yang, Hailong Su, Cheng Zhong, Zuqiang Meng, Huiwu Luo, Xichun Li, Yuan Yan Tang, Yang Lu, “Hyperspectral image classification using wavelet transform-based smooth ordering,” International Journal of Wavelets Multiresolution and Information Processing, Volume: 17, Issue: 6 Article Number: 1950050, 2019.
  4. Yuanping Zhang, Yuanyan Tang, Bin Fang, Zhaowei Shang, “Multi-object tracking using deformable convolution networks with tracklets updating,” International Journal of Wavelets Multiresolution and Information Processing, Volume: 17, Issue:6 Article Number:1950042, 2019.
  5. Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li, Zhaowei Shang, “Cauchy greedy algorithm for robust sparse recovery and multiclass classification,” Signal Processing, Volume: 164, Pages: 284-294, 2019.
  6. LinaYang, Pu Wei, Cheng Zhong, Zuqiang Meng, Patrick Wang, Yuan Yan Tang, “A Fractal Dimension and Empirical Mode Decomposition-Based Method for Protein Sequence Analysis,” International Journal of Pattern Recognition and Artificial Intelligence, Volume:33 Issue:11, Article Number: 1940020, 2019.
  7. Yiding Wang, Heng Cao, Xiaochen Jiang, Yuanyan Tang, “Recognition of Dorsal Hand Vein Based Bit Planes and Block Mutual Information,” Sensors, Volume:19 Issue:17, DOI:10.3390/s19173718, 2019.
  8. Jiang Wu, Fucheng Liao, Zhengguang Xu, Yuan Yan Tang, Yujie Xu, “Preview control for continuous-time singular stochastic systems,” International Journal of Wavelets Multiresolution and Information Processing, Volume: 17, Issue: 5,  Article Number:1950037, 2019.
  9. Linchang Zhao, Zhaowei Shang, Ling Zhao, Taiping Zhang, Yuan Yan Tang, “Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks,” Neurocomputing, Volume: 352, Pages: 64-74, 2019
  10. Li Dong, Jiantao Zhou, Yuan Yan Tang, “Content-Adaptive Noise Estimation for Color Images With Cross-Channel Noise Modeling,” IEEE Transactions on Image Processing, Volume: 28, Issue: 8, Pages: 4161-4176, 2019.
  11. Tianrui Zhang, Pengdeng Li, Lu-Xing Yang, Xiaofan Yang, Yuan Yan Tang, Yingbo Wu, “A discount strategy in word-of-mouth marketing,” Communications in Nonlinear Science and Numerical Simulation, Volume: 74, Pages: 167-179, 2019.
  12. Da-Wen Huang, Lu-Xing Yang, Xiaofan Yang, Yingbo Wu, Yuan Yan Tang, “Towards understanding the effectiveness of patch injection,” Physica A-Statistical Mechanics and Its Applications, Volume: 526, Article Number:120956, 2019.
  13. Juan Zhao, Lu-Xing Yang, Xiang Zhong, Xiaofan Yang, Yingbo Wu, Yuan Yan Tang, “Minimizing the impact of a rumor via isolation and conversion,” Physica A-Statistical Mechanics and Its Applications, Volume: 526, Article Number:120867, 2019.
  14. Cuiming Zou, Yuan Yan Tang, Yulong Wang, Zhenghua Luo, “Huber collaborative representation for robust multiclass classification,” International Journal of Wavelets Multiresolution and Information Processing, Volume: 17, Issue: 4,  Article Number:1950020, 2019.
  15. Hailiang Ye, Hong Li, Bing Yang, Feilong Cao, Yuanyan Tang, “A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images,” IEEE Transactions on Geoscience and Remote Sensing, Volume: 57, Issue:,7, Pages: 4457-4469, 2019.
  16. Jiangtao Peng, Luoqing Li, Yuan Yan Tang, “Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images,” IEEE Transactions on Neural Networks and Learning Systems, Volume: 30, Issue: 6, Pages: 1790-1802, 2019.
  17. Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang, “Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection,” Pattern Recognition, Volume: 89, Pages: 119-133, 2019.
  18. Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang, “Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization,” IEEE Transactions on Geoscience and Remote Sensing, Volume: 57, Issue: 4, Pages: 2341-2357, 2019.
  19. Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, “A Framework of Adaptive Multiscale Wavelet Decomposition for Signals on Undirected Graphs,” IEEE Transactions on Signal Processing, Volume: 67, Issue: 7, Pages: 1696-1711, 2019.
  20. Yulong Wang, Yuan Yan Tang, Luoqing Li, Xianwei Zheng, “Block sparse representation for pattern classification: Theory, extensions and applications,” Pattern Recognition, Volume: 88, Pages: 198-209, 2019.
  21. Ailin Li, Anyong Qin, Zhaowei Shang, Yuan Yan Tang, “Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image,” International Journal of Pattern Recognition and Artificial Intelligence, Volume: 33, Issue: 3, Article Number:1955003, 2019.
  22. Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, Jianjia Pan, Shouzhi Yang, Youfa Li, Patrick Wang, “Multi-Level Downsampling of Graph Signals via Improved Maximum Spanning Trees,” International Journal of Pattern Recognition and Artificial Intelligence, Volume: 33, Issue: 3, Article Number: 1958005, 2019.
  23. Anyong Qin, Zhaowei Shang, Jinyu Tian, Yulong Wang, Taiping Zhang, Yuan Yan Tang, “Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters, Volume: 16, Issue: 2, Pages: 241-245, 2019.
  24. Jian Chen, Lu-Xing Yang, Da-Wen Huang, Xiaofan Yang, Yuan Yan Tang, “Dynamic Discount Pricing in Competitive Marketing, “IEEE Access, Volume: 7, Pages: 145340-145347, 2019.
  25. Kaifan Huang, Pengdeng Li, Lu-Xing Yang, Xiaofan Yang, Yuan Yan Tang, “Seeking Best-Balanced Patch-Injecting Strategies through Optimal Control Approach,” Security and Communication Networks, Article Number: UNSP 2315627, 2019.
  26. Ting Shu, Bob Zhang, Yuan Yan Tang, “Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier,” IEEE Access, Volume: 7, Pages: 49669-49679, 2019.
  27. Linchang Zhao, Zhaowei Shang, Ling Zhao, Anyong Qin, Yuan Yan Tang, “Siamese Dense Neural Network for Software Defect Prediction With Small Data,” IEEE Access, Volume: 7, Pages: 7663-7677, 2019.
  28. Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, Jianjia Pan, “Atomic Representation-Based Classification: Theory, Algorithm, and Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 41, Issue: 1, Pages: 6-19, 2019.
  29. Jianwei Yang, Liang Zhang, Yuan Yan Tang, “Mellin polar coordinate moment and its affine invariance,” Pattern Recognition, Volume: 85, Pages: 37-49, 2019.

2018

  1. H. F. Li,  X. G. He, D. P. Tao,  Y. Y. Tang, and R. X.  Wang, “Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning,” Pattern Recognition, vol. 79, no. 130-146, Jul. 2018.
  2. C. Pan, L. X. Yang, X. Yang, Y. Wu, and Y. Y. Tang, “An effective rumor-containing strategy,” Physica A, vol. 500, pp. 80-91, Jun. 2018.
  3. L. Dong, J. Zhou, and Y. Y. Tang, “Effective and fast estimation for image sensor noise via constrained weighted least squares,” IEEE Trans. Image Process., vol. 27, no. 6, pp. 2715-2730, Jun. 2018.
  4. C. Liu, Z. Shang, B. Lin, and Y. Y. Tang, “A semantic Tree Method for Image Classification and Video Action Recognition,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 16, no. 2, Mar. 2018.
  5. K. Shi, Y. Y. Tang, S. Zhong, Y. Chun, X. G. Huang, and W. Wang, “Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process,” Int. J. Robust Nonlinear Control, vol. 28, no. 5, pp. 1693-1714, Mar. 2018.
  6. L. Liu, C. L. P. Chen, S. Li, Y. Y. Tang and L. Chen, “Robust face hallucination via locality-constrained bi-Layer representation,” IEEE Trans. Cybern., vol. 48, no. 4, pp. 1189-1201, Apr. 2018.
  7. B. Zou, C. Xu, Y. Lu, Y. Y. Tang, J. Xu, and X. You, “K -times markov sampling for SVMC,” IEEE Trans. Neural Networks Learn. Syst., vol. 29, no. 4, pp. 1328-1341, Apr. 2018.
  8. D. Liao, Y. Qian, and Y. Y. Tang, “Constrained manifold learning for hyperspectral imagery visualization,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 11, no. 4, pp. 1213-1226, Apr. 2018.
  9. W. Liu, X. Yang, D. P. Tao, J. Cheng, and Y. Y. Tang, “Multiview dimension reduction via Hessian multiset canonical correlations,” Information Fusion, vol. 41, pp. 119-128, May. 2018.
  10. W. Yang, B. Fang, and Y. Y. Tang, “Fast and accurate vanishing ooint detection and its application in inverse perspective Mapping of Structured Road,” IEEE Trans. Syst., Man, Cybern. Syst., vol. 48, no. 5, pp. 755-766, May. 2018.
  11. T. Xie, P. Ren, T. Zhang, and Y. Y. Tang, “Distribution preserving learning for unsupervised feature selection,” Neurocomputing, vol. 289, pp. 231-240, May. 2018.
  12. W. Sun, J. T. Zhou, S. Y. Zhu, and Y. Y. Tang, “Robust privacy-preserving image sharing over online social networks (OSNs),” ACM Trans. Multimedia Comput. Commun. Appl. vol. 14, no. 1, Jan. 2018.
  13. L. X. Yang, X. Yang, and Y. Y. Tang, “A bi-Virus competing spreading model with generic infection rates,” IEEE Trans. Network Sci. Eng, vol. 5, no. 1, pp. 2-13, Jan. 2018.
  14. J. Bi, L. X. Yang, X. Yang, Y. B. Wu, and Y. Y. Tang, “A tradeoff between the losses caused by computer viruses and the risk of the manpower shortage,” Plos One, vol. 14, no. 1, Jan. 2018.
  15. H. Yuan, X. C. Li, F. Y. Xu, Y. F. Wang, L. L. Lai, and Y. Y. Tang, “A collaborative-competitive representation based classifier model,” Neurocomputing, vol. 275, pp. 627-635, Jan. 2018.
  16. L. X. Yang, P. D. Li, X. Yang, Y. B. Wu, and Y. Y. Tang, “On the competition of two conflicting messages,” Nonlinear Dyn., vol. 91, no.3, pp. 1853-1869, Feb. 2018.
  17. H. Yuan, J. J. Zheng, L. L. Lai, and Y. Y. Tang, “A constrained least squares regression model,” Information Sciences, vol. 429, no.3, pp. 247-259, Mar. 2018.
  18. P. Li, X. Yang, L. X. Yang, Q, Xiong, and Y. Y. Tang, “The modeling and analysis of the word-of-mouth marketing,” Physica A, vol. 493, pp. 1-16, Mar. 2018.
  19. C. Gong, T. Liu, Y. Y. Tang, J. Yang, J. Yang and D. Tao, “A regularization approach for instance-based superset label learning,” IEEE Trans. Cybern., vol. 48, no. 3, pp. 967-978, Mar. 2018.
  20. L. Chen, B. Fang, Z. Shang, and Y. Y. Tang, “Tackling class overlap and imbalance problems in software defect prediction,” Software Quality Journal, vol. 26, no. 1, pp. 97-125, Mar. 2018.
  21. P. Li, X. Yang, Q. Xiong, J. Wen, and Y. Y. Tang, “Defending against the advanced persistent threat: an optimal control approach,” Security and Communication Networks, Mar. 2018.
  22. L. Zhang, Q. Zhang, B. Du, X. Huang, Y. Y. Tang, and D. Tao, “Simultaneous spectral-Spatial feature selection and extraction for hyperspectral images,” IEEE Trans. Cybern.,  vol. 48, no. 1, pp. 16-28, Jan. 2018.
  23. H. Yuan, J. Zheng, L. L. Lai, and Y. Y. Tang, “Semi-supervised graph-based retargeted least squares regression,” Signal Process., vol. 142, pp. 188-193, Jan. 2018.

2017

  1. T. Shu, B. Zhang, and Y. Y. Tang. “Novel noninvasive brain disease detection system using a facial image sensor.” Sensors, vol. 17, no. 12, pp. 188-193, Dec. 2017.
  2. J. Tian, T. Zhang, A. Qin, Z. Shang, and Y. Y. Tang, “Learning the distribution preserving semantic subspace for clustering,” IEEE Trans. Image Process., vol. 26, no. 12, pp. 5950-5965, Dec. 2017.
  3. X. Liu, G. F. He, S. J. Peng, Y. m. Cheung, and Y. Y. Tang, “Efficient human motion retrieval via temporal adjacent bag of words and discriminative neighborhood preserving dictionary learning,” IEEE Trans. Hum. Mach. Syst., vol. 47, no. 6, pp. 763-776, Dec. 2017.
  4. J. Du, Z. Xu, Z. Mu, P. S. P. Wang, and Y. Y. Tang, “Empirical mode decomposition—window fractal (EMDWF) algorithm in classification of fingerprint of medicinal herbs,” Int. J. Pattern Recognit. Artif. Intell.,vol. 31, no. 12, Dec. 2017.
  5. K. Shi, Y. Y. Tang, and X. Liu, “Secondary delay‐partition approach on robust performance analysis for uncertain time‐varying Lurie nonlinear control system,” Optimal Control Applications and Methods, vol. 38, no. 6, pp. 1208-1226, Dec. 2017.
  6. Y. Wang, Y. Y. Tang, and L. Li. “Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber–Markov random fields,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 15, no. 6, Nov. 2017.
  7. Y. Wu, P. Li, L. X. Yang, X. Yang, and Y. Y. Tang, “A theoretical method for assessing disruptive computer viruses,” Physica A, vol. 482, pp. 325-336, Sep. 2017.
  8. X. Liu, H. Zhang, Y.M. Cheung, X. You, and Y. Y. Tang, “Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach,” Comput. Vision Image Understanding, vol. 162, pp. 23-33, Sep. 2017.
  9. T. Zhang, L. X. Yang, X. Yang, Y. Wu, and Y. Y. Tang, “Dynamic malware containment under an epidemic model with alert,” Physica A, vol. 470, pp. 249-260, Mar. 2017.
  10. X. Qian, H. Wang, Y. Zhao, X. Hou, R. Hong, M. Wang, and Y. Y. Tang, “Image location inference by multisaliency enhancement,” IEEE Trans. Multimedia, vol. 19, no. 4, pp. 813-821, Apr. 2017.
  11. Y. Lin, J. Chen, Y. Cao, Y. Zhou, L. Zhang, Y. Y. Tang, and S. Wang, “Cross-domain recognition by identifying joint subspaces of source domain and target domain,” IEEE Trans. Cybern., vol. 47, no. 4, pp. 1090-1101, Apr. 2017.
  12. H. Yuan and Y. Y. Tang, “Spectral–spatial shared linear regression for hyperspectral image classification,” IEEE Trans. Cybern., vol. 47, no. 4, pp. 934-945, Apr. 2017.
  13. T. Shu, B. Zhang, and Y. Y. Tang, “An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions,” Comput. Biol. Med., vol. 83, pp. 69-83, Apr. 2017.
  14. H. Luo, Y. Y. Tang, Y. Wang, J. Wang, R. P. Biuk-Aghai, J. Pan, R. Liu, and L. Yang, “Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 10, no. 5, pp. 1987-2001, Mar. 2017.
  15. Q. Liu,  D. Huang, Y. Wang, H. Wei, and Y. Y. Tang, “Built-up area detection based on a Bayesian saliency model,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 15, no. 3, Mar. 2017.
  16. Y. Wang,  Y. Y. Tang, and L. Li, “Correntropy matching pursuit with application to robust digit and face recognition,” IEEE Trans. Cybern., vol. 47, no. 6, pp. 1354-1366, Jun. 2017.
  17. X. Qian, D. Lu, Y. Wang, Z. Li, Y. Y. Tang, and M. Wang, “Image re-ranking based on topic diversity,” IEEE Trans. Image Process., vol. 26, no. 8, pp. 3734-3747, Aug. 2017.
  18. G. Yang, B. Fang, and Y. Y. Tang, “Robust face recognition with multi-scale Weber local descriptor,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 15, no. 5, Sep. 2017.
  19. L. Liu, L. Chen, CL. P. Chen, and Y. Y. Tang, “Weighted joint sparse representation for removing mixed noise in image,” IEEE Trans. Cybern., vol. 47, no. 3, pp.  600-611, Mar. 2017.
  20. M. Ye, Y. Qian, J. Zhou, and Y. Y. Tang, “Dictionary learning-based feature-level domain adaptation for cross-scene hyperspectral image classification,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 3, pp. 1544-1562, Mar. 2017.
  21. Y. Qian, F. Xiong, S. Zeng, J. Zhou, and Y. Y. Tang, “Matrix-vector nonnegative tensor factorization for blind unmixing of hyperspectral imagery,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 3, pp. 1776-1792, Mar. 2017.
  22. L. Dong, J. Zhou, and Y. Y. Tang, “Noise level estimation for natural images based on scale-invariant kurtosis and piecewise stationarity,” IEEE Trans. Image Process., vol. 26, no. 2, pp. 1017-1030, Feb. 2017.
  23. R. Lan, Y. Zhou, and Y. Y. Tang, “Quaternionic Weber local descriptor of color images,” IEEE Trans. Circuits Syst. Video Technol., vol. 27, no. 2, pp. 261-274, Feb. 2017.
  24. Z. He, S. Yi, Y. M. Cheung, X. You, and Y. Y. Tang, “Robust object tracking via key patch sparse representation,” IEEE Trans. Cybern., vol. 47, no. 2, pp. 354-364, Feb. 2017.
  25. Z. Ye, H. Li, Y. Song, J. A. Benediktsson, and Y. Y. Tang, “Hyperspectral image classification using principal components-based smooth ordering and multiple 1-D interpolation,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 1199-1209, Feb. 2017.
  26. L. X. Yang, P. Li, X. Yang, and Y. Y. Tang, “Security evaluation of the cyber networks under advanced persistent threats,” IEEE Access, vol. 5, pp. 20111-20123. Sep. 2017.
  27. T, Shu, B. Zhang, and Y. Y. Tang. “Effective heart disease detection based on quantitative computerized traditional chinese medicine using representation based classifiers,” Evidence-Based Complementary and Alternative Medicine, Aug. 2017.
  28. X. Wu, B. Fang, Y. Y. Tang, X. Zeng, and C. Xing, “Reconstructed error and linear representation coefficients restricted by-minimization for face recognition under different illumination and occlusion,” Mathematical Problems in Engineering, Mar. 2017.
  29. Q. Peng, Y. Cheung, X. You, and Y. Y. Tang, “A hybrid of local and global saliencies for detecting image salient region and appearance,” IEEE Trans. Syst., Man, Cybern. Syst., vol. 47, no. 1, pp. 86-97, Jan. 2017.
  30. K. Shi, Y. Y. Tang, Xi. Liu, and S. Zhong, “Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation,” ISA trans., vol. 66, pp. 185-199, Jan. 2017.
  31. J. Bi, X. Yang,  Y. Wu, Q. Xiong, J. Wen, Y. Y. Tang, “On the optimal dynamic control strategy of disruptive computer virus,” Discrete Dynamics in Nature and Society, Mar. 2017.

2016

  1. H. Luo, Y. Y. Tang, Y. Wang, J. Wang, L. Yang, C. Li, and T. Hu, “Hyperspectral image classification based on spectral–spatial one-dimensional manifold embedding,” IEEE Trans. Geosci. Remote Sens., vol. 54, no. 9, pp. 5319-5340, Sep. 2016.
  2. X. Zuo, X. Li, J. Xiao, Y. Y. Tang, R. Abbasi, and L. Xu. “Linear complexity of generalized cyclotomic binary sequences of order 2d and length 2pm,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 14, no. 5, Sep. 2016.
  3. X. Zheng, Y. Y. Tang, J. Pan, and J. Zhou, “Adaptive multiscale decomposition of graph signals,” IEEE Signal Processing Lett., vol. 23, no. 10, pp. 1389-1393, Oct. 2016.
  4. C. Liu, Z. Shang, and Y. Y. Tang, “An image classification method that considers privacy-preservation,” Neurocomputing, vol. 208, pp. 80-98, Oct. 2016.
  5. X. Liu, H. Zhang, Y. Y. Tang and J. X. Du, “Scene-adaptive single image dehazing via opening dark channel model,” IET Image Proc., vol. 10, no. 11, pp. 877-884, Nov. 2016.
  6.  W. Jiang, F. Liao, and Y. Y. Tang, “Applications of the preview control method to the optimal problem for linear continuous-time stochastic systems with time-delay,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 14, no. 6, pp. 932-943, Nov. 2016.
  7.  K. Shi, X. Liu, Y. Y. Tang, H. Zhu, and S. Zhong, “Some novel approaches on state estimation of delayed neural networks, ” Information Sciences, vol. 372, pp. 313-331, Dec. 2016.
  8.  X. Yang, Y. Zhu, Hong, J., L. X. Yang, Y. Wu, and Y. Y. Tang,  “The rationality of four metrics of network robustness: a viewpoint of robust growth of generalized meshes,” Plos One, vol. 11, no. 8, Aug. 2016
  9.  Y. Zhang, X. Qian, X. Tan, J. Han, and Y. Y. Tang, “Sketch-based image retrieval by salient contour reinforcement,” IEEE Trans. Multimedia, vol. 18, no. 8, pp. 1604-1615, Aug. 2016.
  10. Z. He, X. Li, X. You, D. Tao, and Y. Y. Tang, “Connected component model for multi-object tracking,” IEEE Trans. Image Process., vol. 25, no. 8, pp. 3698-3711, Aug. 2016.
  11. Y. Li, J. Zhou, A. Cheng, X. Liu and Y. Y. Tang, “SIFT keypoint removal and injection via convex relaxation,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 8, pp. 1722-1735, Aug. 2016.
  12. X. Zhang, S. Yang, Y. Y. Tang, and W. Zhang, “A thermodynamics-inspired feature for anomaly detection on crowd motions in surveillance videos,” Multimedia Tools and Applications, vol. 75, no. 14, pp. 8799-8826, Jul. 2016.
  13. J. Chen, Y. Wang, and Y. Y. Tang, “Person re-identification by exploiting spatio-temporal cues and multi-view metric learning,” IEEE Signal Processing Lett., vol. 23, no. 7, pp. 998-1002, July 2016.
  14. X. Liu, Y. Cheung, and Y. Y. Tang, “Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit,” Comput. Vision Image Understanding, vol. 148, pp. 153-163, Jul. 2016.
  15. D. Liao, Y. Qian, J. Zhou, and Y. Y. Tang, “A manifold alignment approach for hyperspectral image visualization with natural color,” IEEE Trans. Geosci. Remote Sens., vol. 54, no. 6, pp. 3151-3162, June 2016.
  16. H. Yang, D. Huang, Y. Wang, H. Wang, and Y. Y. Tang, “Face aging effect simulation using hidden factor analysis joint sparse representation,” IEEE Trans. Image Process., vol. 25, no. 6, pp. 2493-2507, June 2016.
  17. D. Tao, Y. Guo, M. Song, Y. Li, Z. Yu, and Y. Y. Tang, “Person re-identification by dual-regularized KISS metric learning,” IEEE Trans. Image Process., vol. 25, no. 6, pp. 2726-2738, June 2016.
  18. X. Wang, H.Min, Le. Zou, Yi-Gang Zhang, Y. Y. Tang, and C. P. Chen, “An efficient level set method based on multi-scale image segmentation and hermite differential operator,” Neurocomputing, vol. 188, pp. 90-101, May. 2016.
  19. J. Du, M. Shao, C. Zhai, J. Wang, Y. Y. Tang, and C. P. Chen, “Recognition of leaf image set based on manifold–manifold distance,” Neurocomputing, vol. 188, pp. 131-138. May. 2016.
  20. W. Jiang, B. Li, S. Li, Y. Y. Tang, and C. P. Chen, “A new prospective for learning automata: A machine learning approach,” Neurocomputing, vol.188, pp. 319-325, May. 2016.
  21. T. Zhang, P. Ren, Y. Ge, Y. Zheng, Y. Y. Tang, and C. L. P. Chen, “Learning proximity relations for feature selection,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, pp. 1231-1244, May. 2016.
  22. Y. Wang, Y. Y. Tang, L. Li, and J. Wang, “Face recognition via collaborative representation based multiple one-dimensional embedding,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 14, no. 2, Mar. 2016.
  23. J. Zhou, W. Sun, L. Dong, X. Liu, O. C. Au, and Y. Y. Tang, “Secure reversible image data hiding over encrypted domain via key modulation,” IEEE Trans. Circuits Syst. Video Technol., vol. 26, no. 3, pp. 441-452, Mar. 2016.
  24. J. Pan and Y. Y. Tang, “A mean approximation based bidimensional empirical mode decomposition with application to image fusion,” Digital Signal Process., vol. 50, pp. 67-71, Mar. 2016.
  25. Y. Zheng, Y. Y. Tang, and H. Cheng, “Quadratic modeling of wheeled moving platforms on planes,” IEEJ Trans. Electr. Electron. Eng., vol. 11, no. 2, pp. 192-197, Mar. 2016.
  26. R. Lan, Y. Zhou, and Y. Y. Tang, “Quaternionic local ranking binary pattern: a Local descriptor of color Images,” IEEE Trans. Image Process., vol. 25, no. 2, pp. 566-579, Feb. 2016.
  27. W. Wang, Y. Qian, and Y. Y. Tang, “Hypergraph-regularized sparse NMF for hyperspectral unmixing,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 9, no. 2, pp. 681-694, Feb. 2016.
  28. W. Yang, B. Fang, Y. Y. Tang, and X. Qin, “A temperature compensation model for low cost quartz accelerometers and its application in tilt sensing, ” Mathematical Problems in Engineering, Aug. 2016

2015

  1. Yulong Wang, Yuan Yan Tang, Luoqing Li, Robust, “Face Recognition via Minimum Error Entropy-Based Atomic Representation,” IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5868-5878, 2015.
  2. Yulong Wang, Yuan Yan Tang, Luoqing Li, “Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,” IEEE Transactions on Signal Processing, vol. 63, no. 15, pp. 4010-4021, 2015.
  3. Haoliang Yuan, Yuan Yan Tang, “Learning With Hypergraph for Hyperspectral Image Feature Extraction,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, no. 8, pp. 1695-1699, 2015.
  4. Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang, “The Generalization Ability of SVM Classification Based on Markov Sampling,” IEEE Transactions on Cybernetics, Vol. 45, no. 6, pp. 1169-1179, 2015.
  5. Lin Chen, Bin Fang, Zhaowei Shang, Yuan Yan Tang, “Negative samples reduction in cross-company software defects prediction,” Information and Software Technology, Vol. 62, pp. 67-77. 2015.
  6. Yuan Yan Tang, Yang Lu, Haoliang Yuan, “Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, no. 5, pp2467-2480, 2015.
  7. Jing Chen, Yuan Yan Tang, C.L. Philip Chen, Zhaowei Shang, Yuewei Lin, “NNMap: A method to construct a good embedding for nearest neighbor classification,” Neurocomputing, Vol. 152, pp. 97-108, 2015.
  8. ZhongQiu Zhao, Linhai Ma, Yiuming Cheung, Xindong Wu, Yuan Yan Tang, Chun Lung Philip Chen, “ApLeaf: An efficient android-based plant leaf identification system,” Neurocomputing, Vol. 151, pp. 1112-1119, 2015.
  9. Lixiang Xu, Bin Luo, Yuan Yan Tang, Xiaohua Ma, “An efficient multiple kernel learning in reproducing kernel Hilbert spaces (RKHS),” International Journal of Wavelets Multiresolution and Information Processing, Vol. 13, no. 2, 2015.
  10. Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo, “A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis,” IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 12, no. 2, pp. 348-359, 2015.
  11. Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, “The Generalization Ability of Online SVM Classification Based on Markov Sampling,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, no. 3, pp. 628-639, 2015.
  12. Kun Sun, Peiran Li, Wenbing Tao, Yuan Yan Tang, “Feature Guided Biased Gaussian Mixture Model for image matching,” Information Sciences, Vol. 295, pp. 323-336, 2015.
  13. Huiwu Luo, Yuan Yan Tang, Chunli Li, Lina Yang, “Local and Global Geometric Structure Preserving and Application to Hyperspectral Image Classification,” Mathematical Problems in Engineering, Volume 2015, Article ID 917259, 13 pages, 2015.
  14. Huiwu Luo, Yuan Yan Tang, Lina Yang, “Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification,” Mathematical Problems in Engineering, Volume 2015, Article ID 145136, 17 pages, 2015.
  15. Jing Li, Xueming Qian, Qing Li, Yisi Zhao, Liejun Wang, Yuan Yan Tang, “Mining near duplicate image groups,” Multimedia Tools and Applications, Vol. 74, no. 2, pp. 655-669, 2015.
  16. Yuan Yan Tang, Yulong Wang, Luoqing Li, C. L. Philip Chen, “Structural Atomic Representation for Classification,” IEEE Transactions on Cybernetics, Vol. 45, no. 12, pp. 2905-2913, 2015.
  17. Wen-Sheng Chen, Xiuli Dai, Binbin Pan, Yuan Yan Tang, “Semi-supervised discriminant analysis method for face recognition,” International Journal of Wavelets Multiresolution and Information Processing, Article Number: 1550049, Vol. 13, no. 6, 2015.
  18. Fucheng Liao, Yujian Guo, Yuan Yan Tang, “Design of an optimal preview controller for linear time-varying discrete systems in a multirate setting,” International Journal of Wavelets Multiresolution and Information Processing, Article Number: 1550050, Vol. 13, no. 6, 2015.
  19. Xinge You, Weihua Ou, Chun Lung, C. L. Philip Chen, Qiang Li, Ziqi Zhu, Yuan Yan Tang, “Robust Nonnegative Patch Alignment for Dimensionality Reduction,” IEEE Transactions on Neural Netw. Learning Syst, 26(11): 2760-2774, 2015.
  20. C. L. Philip Chen, Licheng Liu, Long Chen Yuan Yan Tang, Yicong Zhou, “Weighted Couple Sparse Representation With Classified Regularization for Impulse Noise Removal,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4014-4026, 2015.
  21. Fangnian Lang, Jiliu Zhou, Yuan Yan Tang, Zhaowei Shang, “A color image enhancement algorithm based on quaternion representation of vector rotation,” International Journal of Wavelets Multiresolution and Information Processing, Article Number: 1550038, Vol. 13, no. 5, 2015.
  22. Jianwei Du, Zhengguang Xu, Zhichun Mu, Yuan Yan Tang, Limin Cui, Tianxuan Duan, EMD fractal feature extraction technique in fingerprint of medicinal herbs, International Journal of Wavelets Multiresolution and Information Processing, Article Number: 1550022, Vol. 13, no. 4, 2015.
  23. Tian Xia, Yuan Yan Tang, “Biologically inspired small infrared target detection using local contrast mechanisms,” International Journal of Wavelets Multiresolution and Information Processing, Article Number: 1550025, Vol. 13, no. 4, 2015.
  24. Haoliabg Yuan, Yuan Yan Tang, Sparse Representation Based on Set-to-Set Distance for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (6): 2464-2472, 2015.

2014

  1. Yuan Yan Tang, Haoliang Yuan, and Luoqing Li, “Manifold-Based Sparse Representation for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 52(12): 7606-7618, 2014.
  2. Yuan Yan Tang, Tian Xia, Yantao Wei, Hong Li, Luoqing Li, “Hierarchical kernel-based rotation and scale invariant similarity,” Pattern Recognition, 47(4): 1674–1688, 2014.
  3. Yuan Yan Tang, Lina Yang, Hong Li, “Image Transform Based On Integral Equation-Wavelet Approach,” World Academy of Science, Engineering and Technology, 85:735-741, 2014. (ISSN: 2010-376X)
  4. Yuan Yan Tang, Zehui Shao, Fangnian Lang, Xiaodong Xu, Roger K. Yeh, “On the circular-L(2,1)-labelling for strong products of paths and cycles,” IET Communications, 8(5):774-779, 2014.
  5. Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, and Yang Lu, “The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling,” IEEE Transactionson Cybernetics, 44(9): 1497-1507, 2014.
  6. Run Zong Liu, Yuan Yan Tang and Bin Fang, “Topological Coding and Its Application in the Refinement of SIFT,” IEEE Trans. on Cybernetics, 44(11): 2155-2166, 2014.
  7. Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Yuewei Lin and Zhaowei Shang, “Multi-Label Learning With Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction,” IEEE Trans. on Nanobioscience, 13(4 ): 438-447, 2014.
  8. Haoliang Yuan and Yuan Yan Tang, “A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (8): 3570-3576, 2014.
  9. Haoliang Yuan, Yuan Yan Tang, Yang Lu, Yang, Lina Yang and Huiwu Luo, “Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6): 2035-2043, 2014.
  10. Haoliang Yuan, Yuan Yan Tang, Yang Lu, Yang, Lina Yang and Huiwu Luo, “Hyperspectral Image Classification Based on Regularized Sparse Representation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (6): 2174-2182, 2014.
  11. Taiping Zhang, Yuan Yan Tang and Bin Fang, “An Approximate Closed-Form Solution to Correlation Similarity Discriminant Analysis,” Neurocomputing, 135: 284-298, 2014.
  12. Jie Gui, Dacheng Tao, Zhenan Sun, Yong Luo, Xinge You and Yuan Yan Tang, “Group Sparse Multiview Patch Alignment Framework with View Consistency for Image Classification,” IEEE Trans. on Image Processing, 23(7): 3126-3137, 2014.
  13. Jun Yu, Yong Rui, Tang, Yuan Yan Tang and Dacheng Tao, “High-Order Distance-Based Multiview Stochastic Learning in Image Classification,” IEEE Transactions on , 44 (12): 2431-2442, 2014.
  14. Xueming Qian, Xian-Sheng Hua, Yuan Yan Tang and Tao Mei, “Social Image Tagging With Diverse Semantics,” IEEE Transactions on Cybernetics, 44 (12): 2493-2508, 2014.
  15. Jiantao Zhou, Oscar C. Au, Guangtao Zhai, Yuan Yan Tang and Xianming Liu, “Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling,” IEEE Transactions on Information Forensics And Security, 9 (11): 1857-1868, 2014.
  16. Jiantao Zhou, Xianming Liu, Oscar C. Au, Yuan Yan Tang, “Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation,” IEEE Trans. on Information Forensics and Security, 9(1): 39-50, 2014.
  17. Hong Hi, Xiao, Guangrun Xiao, Tian Xia, Tang, Yuan Yan Tang and Luoqing Li, “Hyperspectral Image Classification Using Functional Data Analysis,” IEEE Transactions on Cybernetics, 44 (9): 1544-1555, 2014.
  18. CLP Chen, Hong Li, Yantao Wei, Tian Xia, Yuan Yan Tang, “A Local Contrast Method for Small Infrared Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, 52(2): 574-581, 2014.
  19. Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, “Generalization performance of Gaussian kernels SVMC based on Markov sampling,” Neural Networks, 53(5): 40-51, 2014.
  20. Hong Li, Hongfeng Li, Yantao Wei, Yuanyan Tang, Qiong Wang, “Sparse-based neural response for image classification,” Neurocomputing, 144: 198–207, 2014.
  21. Lina Yang, Yuan Yan Tang, Xiang Chu Feng, and Lu Sun, “Integral Equation-Wavelet Collocation Method for Geometric Transformation and Application to Image Processing,” Abstract and Applied Analysis, vol. 2014, Article ID 798080, 17 pages, 2014. doi: 10.1155/ 2014/798080.
  22. Miao Cheng, Chi-Man Pun, Yuan Yan Tang, “Nonnegative class-specific entropy component analysis with adaptive step search criterion,” Pattern Analysis and Applications, 17(1): 113-127, 2014.
  23. Runzong Liu, Yuan Yan Tang, Bin Fang, Jingrui Pi, “An enhanced version and an incremental learning version of visual-attention-imitation convex hull algorithm,” Neurocomputing, 133: 231–236, 2014.
  24. Weifeng Liu, Dacheng Tao, Jun Cheng and Yuan Yan Tang, “Multiview Hessian discriminative sparse coding for image annotation,” Computer Vision and Image Understanding, 118: 50-60, 2014.
  25. Weihua Ou, Xinge You, Dacheng Tao, Pengyue Zhang, Yuanyan Tang, Ziqi Zhu, “Robust face recognition via occlusion dictionary learning,” Pattern Recognition, 47(4): 1559–1572, 2014.
  26. Yali Zheng, Hong Cheng, Yuan Yan Tang, Bin Fang, “Optimized trajectory recovery of on-road vehicles from monocular videos with multiple constraints,” IEEE Transactions on Electrical and Electronic Engineering, 9(2): 200–206, 2014.
  27. Xin Liu, Peng, Shu-Juan Peng, Yiu-ming Cheung, Tang, Yuan Yan Tang and Ji-Xiang Du, “Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation,” IET Image Processing, 8 (12 ): 824-832, 2014.
  28. Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang and Yuewei Lin, “Similarity Measure Learning in Closed-Form Solution for Image Classification,” Scientific World Journal, Article Number: 747105, 2014.
  29. Zhiguo Zhang, Liman Liu, Wenbing Tao and Yuan Yan Tang, “Confidence-driven infrared target detection,” Infrared Physics & Technology, 66: 78-83, 2014.
  30. Ji-Xiang Du, Chuan-Min Zhai, Yi-Lan Guo, Yuan Yan Tang and C. L. Philip Chen, “Recognizing Complex Events in Real Movies by Combining Audio and Video Features,” Neurocomputing, 137: 89-95, 2014.
  31. Fangnian Lang, Jiliu Zhou, Yuan Yan Tang, Hongnian Yu, Shuang Cang and Zhaowei Shang, “Characteristics analysis of wavelet coefficients and its applications in image compression,” International Journal of Wavelets Multiresolution and Information Processing, 12(3): Article Number: 1450028, 2014.
  32. Lina Yang, Yuan Yan Tang and Qi Sun, “Implementation of 2D Discrete Wavelet Transform by Number Theoretic Transform and 2D Overlap-Save Method,” Mathematical Problems in Engineering, Article Number: 532979, 2014.

2013

  1. Yuewei Lin, Yuan Yan Tang, Bin Fang, Zhaowei Shang, Yonghui Huang and Song Wang, “A Visual-Attention Model Using Earth Mover’s Distance-Based Saliency Measurement and Nonlinear Feature Combination,” IEEE Trans. on Pattern Anal. Mach. Intell., 35(2): 314-328, 2013.
  2. Bin Zou, Luoqing Li, Zongben Xu, Tao Luo and Yuan Yan Tang, “Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling,” IEEE Trans. on Neural Netw. Learning Syst, 24(2): 288-300, 2013.
  3. Hong Chen, Yi Tang, Luoqing Li, Yuan Yuan, Xuelong Li and Yuanyan Tang: Error analysis of stochastic gradient descent ranking. IEEE Trans. on Cybernetics, 43(3): 898-909, 2013.
  4. Hengjun Zhao, Zhaowei Shang, Yuan Yan Tang and Bin Fang, “Multi-focus image fusion based on the neighbor distance,” Pattern Recognition, 46(3): 1002-1011, 2013.
  5. Yali Zheng, Bin Fang, Yuan Yan Tang, Taiping Zhang and Ruizong Liu, “Learning orthogonal projections for Isomap,” Neurocomputing 103: 149-154, 2013.
  6. Xueming Qian, Yuan Yan Tang, Zhe Yan and Kaiyu Hang, “ISABoost: A weak classifier inner structure adjusting based AdaBoost algorithm – ISABoost based application in scene categorization,” Neurocomputing 103: 104-113, 2013.
  7. Weibin Yang, Yuan Yan Tang, Bin Fang, Zhaowei Shang and Yuewei Lin, “Visual saliency detection with center shift,” Neurocomputing 103: 63-74, 2013.
  8. Jiangtao Peng, Luoqing Li and Yuan Yan Tang, “Combination of activation functions in extreme learning machines for multivariate calibration,” Chemometrics and Intelligent Laboratory Systems, 120:53-58, 2013.
  9. Hong Chen, Yicong Zhou, Yi Tang, Yuan Yan Tang, and Zhibin Pan, “Generalization performance of support vector classifiers for density level detection,” Neurocomputing,119: 434-438, 2013.
  10. Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, and Zhibin Pan, “Convergence rate of the semi-supervised greedy algorithm,” Neural Networks, 44: 44-50, 2013.
  11. X. Qian, X. Hou, Y. Y. Tang, H. Wang, and Z. Li, “Hidden Conditional Random Field-based Soccer Video Events Detection,” IET Image Processing, 6(9): 1338-1347, 2013.
  12. Bin Xu, Zhao Wei Shang, Yuan Yan Tang, Bin Fang, and Tai Ping Zhang, “Occlusion Robust Face Recognition with Scattering Operator in Gradient Domain,” International Journal of Wavelets Multiresolution and Information Processing, 11(1):1350001-1 -1350001-16, 2013.
  13. Zhiguo Gong, Jingzhi Guo, Yua Yan Tang, and Patrick Wang, “Filtering Terms from the Web for Image Annotations,” International Journal of Pattern Recognition and Artificial Intelligence, 27(1):1354002-1-1354002-23, 2013.
  14. Ramadhan Abdo Musleh Alsaidi, Hong Li, Yantao Wei, Khaji, Rokan Khaji, and Yuan Yan Tang, “Hierarchical Sparse Method with Applications in Vision and Speech Recognition,” International Journal of Wavelets Multiresolution and Information Processing, 11(2):1350016-1-20, 2013.
  15. Hong Chen, Zhibin Pan, Luoqing Li, and Yuan Yan Tang, “Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection,” Neural Computation, 25:1107-1121, 2013.
  16. Zuoxian Fu, Caixia Deng, and Yuan Yan Tang, “A Method for Construction of Bivariate N-Band Wavelet Tight Frames,” International Journal of Wavelets Multiresolution and Information Processing, 11(3):1350023-1-19, 2013.
  17. Weibin Yang, Bin Fang, Yuan Yan Tang, Jiye Qian, Xudong Qin, and Wenhua Yao, “A Robust Inclinometer System with Accurate Calibration of Tilt and Azimuth Angles,” IEEE Sensors Journal, 13(6): 2313-2321, 2013.

2012

  1. Taiping Zhang, Yuan Yan Tang, Bin Fang and Yong Xiang, “Document Clustering in Correlation Similarity Measure Space,” IEEE Trans. on Knowledge Data Engineering, 24(6):1002-1013, 2012.
  2. Shaohua Zeng, Yuanyan Tang, Yan Wei and Hanshu Qin, “An algorithm of detecting outliers in SVR,” International Journal of Wavelets, Multiresolution and Information Processing, 10(5): 1250047-1-23, 2012.
  3. Jing Chen, Yuan Yan Tang, Bin Fang, Chang Guo, “In silico prediction of toxic action mechanisms of phenols for imbalanced data with Random Forest learner,” Journal of Molecular Graphics and Modeling, 35(1):21-27, 2012.
  4. Hengxin Chen, Yuanyan Tang, Bin Fang, Lifang Zhou: A Fusion Framework for Face Recognition under Varying Illumination Based on Multi-Scale Analysis. IJWMIP 10(3), 1250029-1 –17, 2012.
  5. Rushi Lan, Jianwei Yang, Yong Jiang, Zhan Song and Yuan Yan Tang, “An affine invariant discriminate analysis with canonical correlation analysis,” Neurocomputing, 86(1): 184-192, 2012.
  6. Wen-Sheng Chen, Wei Wang, Jian Wei Yang and Yuan Yan Tang, “Supervised Regularization Locality-Preserving Projection Method for Face Recognition,” International Journal of Wavelets Multiresolution And Information Processing, 10(6): 1250053, 2012.
  7. Runzong Liu, Bin Fang, Yuan Yan Tang, Jing Wen and Jiye Qian, “A fast convex hull algorithm with maximum inscribed circle affine transformation,” Neurocomputing, 77(1):212-221, 2012.
  8. Jing Wen, Bin Fang, JunLin Chen, Yuanyan Tang and Hengxin Chen, “Fragmented edge structure coding for Chinese writer identification,”  Neurocomputing, 86(1): 45-51, 2012.

2011

  1. Yuan Yan Tang, Limin Cui and Ning Lin, “Wavelet Decomposition of Pseudo-Motion Image and Application to Frequency Segmentation,” Int. Journal of Patter recognition and Artificial Intelligence, 25(7): 1089-1112, 2011.
  2. Kaiqi Huang, Dacheng Tao, Yuan Yan Tang, Xuelong Li, Tieniu Tan, “Biologically Inspired Features for Scene Classification in Video Surveillance,” IEEE Trans. on Systems, Man, and Cybernetics, Part B, Vol. 41, No. 1, pp. 307-313, 2011.
  3. Miao Cheng, Bin Fang, Yuan Yan Tang and Hengxin Chen “A Computational and Theoretical Analysis of Local Null Space Discriminant Method for Pattern Classification,” Int. Journal of Pattern Recognition and Artificial Intelligence, 25(1):117-134, 2011.
  4. Miao Cheng, Bin Fang, Chi-Man Pun, Yuan Yan Tang, “Kernel-view based Discriminant Approach for Embedded Feature Extraction in High-dimensional Space,” Neurocomputing, 74(9): 1478-1484, 2011.
  5. Hengxin Chen, Yuan Yan Tang, Bin Fang and Patrick Wang “A Multi-Layer Contrast Analysis Method for Texture Classification Based on LBP,” Int. Journal of Pattern Recognition and Artificial Intelligence, 25(1):147-155, 2011.
  6. Hengxin Chen, Yuan Yan Tang and Bin Fang, “Illumination Invariant Face Recognition Using FABEMD Decomposition with Detail Measure Weight,” Int. Journal of Pattern Recognition and Artificial Intelligence, 25(8):1261-1273, 2011.
  7. Fucheng Liao, Yuan Yan Tang, Heping Liu and Yunjion Wang, “Design of an Optimal Preview Controller for Continuous-Time Systems,” Int. Journal of Wavelets Multiresolution and Information Processing, 9(4): 655-673, 2011.
  8. Guanghui He, Yuanyan Tang, Bin Fang and Patrick Shen-Pei Wang, “Bionic Face Recognition Using Gabor Transformation,”  Int. Journal of Pattern Recognition and Artificial Intelligence, 25(3): 391-402 , 2011.

2010

  1. Taiping Zhang, Bin Fang, Yuan Yan Tang, Zhaowei Shang and Bin Xu, “Generalized Discriminant Analysis: A Matrix Exponential Approach,” IEEE Trans. on Systems, Man, and Cybernetics (B), 40(1): 186-197, 2010.
  2. Miao Cheng, Bin Fang, Yuan Yan Tang, Taiping Zhang, Jing Wen, Incremental Embedding and Learning in the Local Discriminant Subspace with Application to Face Recognition, IEEE Trans. on Systems, Man, and Cybernetics (C), 40(5): 580-591, 2010.
  3. Miao Cheng, Bin Fang, Jing Wen, Yuan Yan Tang, Marginal Discriminant Projections: An Adaptable Marginal Discriminant Approach to Feature Reduction and Extraction, Pattern Recognition Letters, 31(13): 1965-1974, 2010.
  4. Taiping Zhang, Bin Fang, Yuan Yan Tang, Zhaowei Shang, Guanghui He: A Least-Squares Model to Orthogonal Linear Discriminant Analysis. IJPRAI 24(4): 635-650, 2010.
  5. Bo Liao, Yuan Yan Tang, Lu An: On Lorenz-like Dynamic Systems with Strengthened Nonlinearity and New Parameters. IJWMIP 8(2): 293-311, 2010.
  6. Limin Cui, Yantao Wei, Yuan Yan Tang, Hong Li: Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition. IJWMIP 8(2): 327-342, 2010.
  7. Taiping Zhang, Bin Fang, Yuan Yan Tang, Zhaowei Shang: Locality Preserving Nonnegative Matrix Factorization with Application to Face Recognition. IJWMIP 8(5): 835-846, 2010.
  8. Xiaofan Yang, Qiang Dong, Yuan Yan Tang: Embedding meshes/tori in faulty crossed cubes. Inf. Process. Lett. 110(14-15): 559-564, 2010.
  9. Hong Li, Yantao Wei, Luoqing Li and Yuan Y. Tang, Infrared moving target detection and tracking based on tensor locality preserving projection, Infrared Physics & Technology, 53: 77-83, 2010.

2009

  1. Taiping Zhang, Yuan Yan Tang, Bin Fang, Zhaowei Shang, Xiaoyu Liu, “Face Recognition Under Varying Illumination Using Gradientfaces.” IEEE Trans. on Image Processing, 18(11): 2599-2606, 2009.
  2. Jing Wen, Bin Fang, Yuan Yan Tang and Taiping Zhang, “Model-based Signature Verification with Rotation Invariant Features,” Pattern Recognition, 42(7): 1458-1466, 2009.
  3. Jing Huang, Xinge You, Yuan Yan Tang, Liang Du and Yuan Yuan, “A novel iris segmentation using radial-suppression edge detection,” Signal Processing, 89(12): 2630-2643, 2009.
  4. Bin Fang, Miao Cheng, Yuan Yan Tang and Guanghui He, “Improving the Discriminant Ability of Local Margin Based Learning Method by Incorporating the Global Between-Class Separability Criterion,” Neurocomputing , 73(1-3): 536-541, 2009.
  5. Dan Zhang, Xinge You, Patrick Shen-Pei Wang, Svetlana N. Yanushkevich and Yuan Yan Tang, “Facial Biometrics Using Nontensor Product Wavelet and 2D Discriminant Techniques,” International Journal of Pattern Recognition and Artificial Intelligence, 23(3): 521-543, 2009.
  6. Jing Wen, Bin Fang, Y. Y. Tang, Patrick Shen-Pei Wang, Miao Cheng and Taiping Zhang: “Combining EODH and Directional Gradient Density for Offline Signature Verification,”  International Journal of Pattern Recognition and Artificial Intelligence, 23(6): 1161-1177, 2009.
  7. Taiping Zhang, Bin Fang, Yuan Yan, Yuan Yan Tang, Zhaowei Shang, Donghui Li and Fangnian Lang, “Multiscale Facial Structure Representation for Face Recognition under Varying Illumination,” Pattern Recognition, 42(2): 251-258, 2009.
  8. Hong Chen, Luoqing Li, Yuan Yan Tang: Analysis of Classification with a Reject Option. IJWMIP 7(3): 375-385, 2009.

2008

  1. Yuan Yan Tang, “Status of Pattern Recognition with Wavelet Analysis,” Frontiers of Computer Science, 2(3): 268-294, 2008.
  2. Taiping Zhang, Bin Fang, Yuan Yan Tang, Guanghui He and Jing Wen, “Topology Preserving Nonnegative Matrix Factorization for Face Recognition,” IEEE Trans. on Image Processing, 17(4): 574-584, 2008.
  3. Zhenyu He, Xinge You and Yuan Yan Tang, “Writer Identification of Chinese Handwriting Documents Using Hidden Markov Tree Model,” Pattern Recognition, 41(4): 1295-1307, 2008.
  4. Zhenyu He, Xinge You and Yuan Yan Tang, “Writer Identification Using Global Wavelet-based Features,” Neurocomputing, 71(10-12): 1832-1841, 2008.
  5. Taiping Zhang, Bin Fang, Weining Liu, Yuan Yan Tang, Guanghui He, Jing Wen, “Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns,” Neurocomputing, 71(10-12): 1824-1831, 2008.
  6. Zhaowei Shang, Yuan Yan Tang, Bin Fang, Jing Wen, Yat Zhou Ong: Multiresolution Signal Decomposition and Approximation Based on Support Vector Machines. IJWMIP 6(4): 593-607, 2008.
  7. Qiang Dong, Xiaofan Yang, Juan Zhao and Yuan Yan Tang, “Embedding a Family of Disjoint 3D Meshes into a Crossed Cube,” Information Sciences, 178(11): 2396-2405, 2008.
  8. Xiaofan Yang, Yuan Yan Tang, Jianqiu Cao: Global asymptotic stability of a family of difference equations. Computers & Mathematics with Applications, 56(10): 2643-2649, 2008.
  9. Xiaofan Yang, Yuan Yan Tang, Jianqiu Cao: Embedding torus in hexagonal honeycomb torus. IET Computers & Digital Techniques, 2(2): 86-93, 2008.
  10. Xiaofan Yang, Yuan Yan Tang, Jianqiu Cao and Qing Lu: Embedding even-length cycles in a hexagonal honeycomb mesh. Int. J. Comput. Math. 85(2): 201-209, 2008.
  11. Xiaofan Yang, Graham M. Megson, Yuan Yan Tang and Yongkang Xing: Largest connected component of a star graph with faulty vertices. Int. J. Comput. Math. 85(12): 1771-1778, 2008.

2007

  1. Xiaofan Yang and Yuan Yan Tang, “Efficient Fault Identification of Diagnosable Systems under the Comparison Model,” IEEE Trans. on Computers, 56(12): 1612-1618, 2007.
  2. Xinge You and Yuan Yan Tang, “Wavelet-based Approach to Character Skeleton,” IEEE Trans. on Image Processing, 16(5): 1220-1231, 2007.
  3. Xiaofan Yang and Yuan Yan Tang, “A (4n – 9)/3 Diagnosis Algorithm for Hypercube Networks,” Information Sciences, 177(8): 1771-1781, 2007.
  4. Xiaofan Yang, David J. Evans, Yuan Yan Tang, Xiaofeng Liao: Robust global periodicity of interval bidirectional associative memory networks with finite distributed delays. Int. J. Systems Science, 38(7): 577-584, 2007.
  5. Yuan Yan Tang, “Remarks on Different Reviews of Chinese Character Recognition,” Frontiers of Computer Science, 1(2): 123-125, 2007.
  6. H. Li, L. Q. Li and Yuan Yan Tang, “Mono-Component Decomposition of Signals Based on Blaschke Basis,” International Journal of Wavelets, Multiresolution and Information Processing, 5(6): 941-956, 2007.
  7. B. Fang, X. You, W.-S. Chen and Yuan Yan Tang, “Matching Algorithm Using Wavelet Thinning Features for Offline Signature Verification,” International Journal of Wavelets, Multiresolution and Information Processing, 5(1): 27-38, 2007.

2006

  1. Bin Fang, Yuan Yan Tang: Elastic registration for retinal images based on reconstructed vascular trees. IEEE Trans. Biomed. Engineering, 53(6): 1183-1187, 2006.
  2. Jianwei Du, Yuan Yan Tang, Jingrong Wang and Zhihong Jiang, “Improving Feature Extraction in Fingerprint of Medicinal Herbs via Wavelet Transform and Fractal Technique,” Journal of Chemometrics, 20(11-12): 476-383, 2006.
  3. Fucheng Liao, Liying Xhao, Yuan Yan Tang and Heping Liu, “Absolute Stability of Genaral Lurie Indirect Control Large-scale Systems,” Journal of Basic Science and Engineering,114(4): 579-588, 2006.
  4. Xiaofan Yang, Yuan Yan Tang, Qing Lu and Zhengyu He, “Optimal Doublecast Path in Hexagonal Honeycomb Mesh,” Applied Mathematics and Computation, 182(2): 1267-1279, 2006.
  5. Xiao fan Yang, Xiaofeng Liao, Yuan Yan Tang and David J. Evans, “Guaranteed Attractivity of Equilibrium Points in A Class of Delayed Neural Networks,” International Journal of Bifurcation and Chaos, 16(9): 2737-2744, 2006.
  6. L. Q. Li and Yuan Yan Tang, “Wavelet-Hough Transform with Applications in Edge and Target Detections,” International Journal of Wavelets, Multiresolution and Information Processing, 4(3): 567-587, 2006.
  7. X. G. You, Q. H. Chen, B. Fang and Yuan Yan Tang, “Thinning Character using Modulus Minima of Wavelet Transform,” International Journal of Pattern Recognition and Artificial Intelligence, 20(3): 361-376, 2006.
  8. Z. Y. He, X. G. You, Yuan Yan Tang, B. Fang and J. W. Du, “Handwriting-Based Personal Identification,” International Journal of Pattern Recognition and Artificial Intelligence, 20(2): 209-225, 2006.
  9. W.-S. Chen, X. You, B. Fang, Yuan Yan Tang, and J. Huang, “Wavelet Nature Boundary Element Method for the Neumann Exterior Problem of Stokes Equations,” International Journal of Wavelets, Multiresolution and Information Processing, 4(1): 23-40, 2006.

2005

  1. B. Fang and Yuan Yan Tang, “Improved Class Statistics Estimation for Sparse Data Problems in Off-line Signature Verification,” IEEE Trans. on Systems, Man, and Cybernetics (C), 35(3): 276-286, 2005.
  2. F. Liu, Yuan Yan Tang: Estimation for fractal signals based on dyadic wavelet. IEICE Electronic Express 2(2): 54-59, 2005.
  3. Xiao-Yuan Jing, Hau-San Wong, David Zhang, Yuan Yan Tang: An uncorrelated fisherface approach. Neurocomputing 67: 328-334, 2005.
  4. Yujing Guan, Shuwang Lu, Yuan Yan Tang: Characterization of compactly supported refinable splines whose shifts form a Riesz basis. Journal of Approximation Theory 133(2): 245-250, 2005.
  5. Xiaofan Yang, David J. Evans, Graham M. Megson, Yuan Yan Tang: On the Path-Connectivity Vertex-Pancyclicity and Edge-Pancyclicity of Crossed Cubes. Neural Parallel & Scientific Comp. 13: 107-118, 2005.
  6. K. K. Lau, P. C. Yuen and Yuan Yan Tang, “Directed Connection Measurement for Evaluating Reconstructed Stroke Sequence in Handwriting Images,” Pattern Recognition, 38(3): 323- 339, 2005.
  7. B. Fang, X. G. You, Yuan Yan Tang, and W. S. Chen, “Morphological Structure Recognition of Retinal Vessels in Fundus Images,” International Journal of Pattern Recognition and Artificial Intelligence, 19(7): 937-948, 2005.
  8. K. K. Lau, P. C. Yuen and Yuan Yan Tang, “Universal Writing Method for Recovery of Writing Sequence of Static Handwriting Images,” International Journal of Pattern Recognition and Artificial Intelligence, 19(5): 603-630, 2005.
  9. X. G. You, B. Fang, Yuan Yan Tang and Z. He, “A Wavelet-Based Approach to Ridge Thinning in Fingerprint Images,” International Journal of Pattern Recognition and Artificial Intelligence, 19(5): 631-645, 2005.
  10. Z. W. Liao and Yuan Yan Tang, “Signal Denoising Using Wavelets and Block Hidden Markov Model,” International Journal of Pattern Recognition and Artificial Intelligence, 19(5): 681-700, 2005.
  11. Yang Jianwei, Luoqing Li, Yuanyan Tang, Construction of compactly supported bivariate orthogonal wavelets by univariate orthogonal wavelets, Acta Math Sci., 25: 233-242, 2005.
  12. Xiao-Yuan Jing, Yuan Yan Tang and David Zhang, “A Fourier-LDA Approach for Image Recognition,” Pattern Recognition, 38(3): 453-457, 2005.

2004

  1. Xiaoyuan Jing, David Zhang and Yuan Yan Tang, “Improved LDA Approach,” IEEE Trans. on Systems, Man, and Cybernetics (B), 34(10): 1942-1951, 2004.
  2. T. Z. Huang, J. S. Leng, E. L. Wachspress and  Yuan Yan Tang, “Characterization of H-matrices,” Computers & Mathematics With Applications, 48(10-11): 1587-1601, 2004.
  3. Weipeng Zhang, Yuan Yan Tang and Xinge You “Fingerprint Enhancement Using Wavelet  Transform Combined with Gabor Filter,” International Journal of Patter Recognition and Artificial Intelligence, 18(8): 1-16, 2004.

2003

  1. Yuan Yan Tang and X. G. You, “Skeletonization of Ribbon-like Shapes Based on A New Wavelet Function,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(9): 1118-1133, 2003.
  2. Penglang Shui, Zheng Bao and Yuan Yan Tang, “Three-Band Biorthogonal Interpolating Complex Wavelets with Stopband Suppression via Lifting Scheme,” IEEE Trans. on Signal Processing, 51(5): 1293-1305, 2003.
  3. L. H. Yang, C. Y. Suen and Yuan Yan Tang, “A Width-Invariant Property of Curves Based on Wavelet Transform with a Novel Wavelet Function,” IEEE Trans. on Systems, Man, and Cybernetics  (B), 33(3): 541-548, 2003.
  4. Shouyong Wang, Guangxi Zhu and Yuan Yan Tang, “Feature Extraction of Radar Multiple-Target Echoes Using Wavelet Packet Transform with the Best Bases,” International Journal of Patter Recognition and Artificial Intelligence, 17(1): 127-150, 2003.
  5. S. Z. Yang, Z. X. Cheng and Yuan Yan Tang, “Approximate Sampling Theorem for Bivariate Continuous Function,” Applied Mathematics and Mechanics-English Edition, 24(11): 1355-1361, 2003.
  6. Y. T. Qian, Yuan Yan Tang, “Data clustering analysis based on wavelet feature extraction,” Chinese Journal of Electronics, 12(3): 441-446, 2003.
  7. B. Fang, C. H. Leung, Yuan Yan Tang, K. W. Tse, P. C. K. Kwok, Y. K. Wong, “Off-line Signature Verification by the Tracking of Feature and Stroke Positions,” Pattern Recognition, 36(1):  91-101, 2003.

2002

  1. Y. T. Qian, Ching Y. Suen and Yuan Yan Tang, “Sequential Combination Methods for Data Clustering Analysis,” Journal of Computer Science and Technology, 17(2): 118-128, 2002.
  2. B. Fang, C. H. Leung, Yuan Yan Tang, P. C. K. Kwok, K. W. Tse, and Y. K. Wong, “Off-line Signature Verification with Generated Training Samples,” IEE Proceedings – Vision, Image and Signal Processing, 149(2): 85-90, 2002.
  3. X. M. Sun, H. Chen, L. H. Yang and Yuan Yan Tang, “Mathematical Representation of a Chinese Character and its Applications,” International Journal of Patter Recognition and Artificial Intelligence, 16(6): 735-747, 2002.
  4. H. Ma, J. Zhou, L. Ma and Yuan Yan Tang, “Order Statistic Filter (OSF): A Novel Approach to Document Analysis,” International Journal of Patter Recognition and Artificial Intelligence, 16(5): 551-571, 2002.
  5. Penglang Shui, Zheng Bao, Xianda Zhang and Yuan Yan Tang, “Two-channel Adaptive Biorthogonal Filterbanks via Lifting,” Signal Processing, 82(6): 881-893, 2002.
  6. L. H. Yang and Yuan Yan Tang, “A Wavelet-Based Characterization of Curves,” AMS/IP Studies in Advanced Mathematics, 136: 101-144, 2002.
  7. Jiming Liu, Han Jing and Yuan Yan Tang, “Multi-agent Oriented Constraint Satisfaction,” Artificial Intelligence, 136(1): 101-144, 2002.
  8. Yuan Yan Tang, Y. Tao and Ernest C. M. Lam “New Method for Feature Extraction based on Fractal Behavior,” Patter Recognition, 35(5): 1071-1081, 2002.

2001

  1. Yuan Yan Tang, F. Yang and Jiming Liu, “Basic Processes of Chinese Character Based on Cubic B-Spline Wavelet Transform,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(12): 1443-1448, 2001.
  2. Y. Tao, Ernest C. M. Lam and Yuan Yan Tang, “A Combination of Fractal and Wavelet for Feature Extraction,” International Journal of Patter Recognition and Artificial Intelligence, 15(8): 1277-1298, 2001.
  3. B. Fang, Y. Y. Wang, C. H. Leung, Yuan Yan Tang, P. C. K. Kwok, K. W. Tse and Y. K. Wong, “Off-line Signature Verification by the Analysis of Cursive Strokes,” International Journal of Patter Recognition and Artificial Intelligence, 15(4): 659-673, 2001.
  4. X. M. Sun, Yuan Yan Tang, L. H. Yang and Y. F. Hu, “A Novel Knowledge-Based Stroke Extraction Method for Chinese Characters,” International Journal of Patter Recognition and Artificial Intelligence, 15(4): 707-721, 2001.
  5. L. Feng, T. D. Bui and Yuan Yan Tang, “Classification of Similar 2-D Objects by Wavelet-Sparse-Matrix (WSM) Method,” International Journal of Patter Recognition and Artificial Intelligence, 15(2): 329-345, 2001.
  6. Yu Tao, Ernest C. M. Lam, Yuan Yan Tang: Feature extraction using wavelet and fractal. Pattern Recognition Letters 22(3/4): 271-287, 2001.

2000

  1. Yuan Yan Tang, L. H. Yang and Jiming Liu, “Characterization of Dirac-Structure Edges with Wavelet Transform,” IEEE Trans. on Systems, Man, and Cybernetics  (B), 30(1): 93-109, 2000.
  2. J. M. Zhong, C. H. Leung, Yuan Yan Tang, “Image Compression Based on Energy Clustering and Zero-quadtree Representation,” IEE Proceedings-Vision, Image and Signal processing, 147(6): 564-570, 2000.
  3. L. Feng, C. Y. Suen, Yuan Yan Tang and L. H. Yang, “Edge Extraction of Images by Reconstruction Using Wavelet Decomposition Details at Different Resolution Levels,” International Journal of Patter Recognition and Artificial Intelligence, 14(6): 779-793, 2000.
  4. Junmei Zhong, C. H. Leung and Yuan Yan Tang, “An Improved Embedded Zerotree Wavelet Image Coding Method Based on Coefficient Partitioning Using Morphological Operation,” International Journal of Patter Recognition and Artificial Intelligence, 14(6): 795-807, 2000.
  5. Y. Tao, Ernest C. M. Lam, Chin S. Huang and Yuan Yan Tang, “Information distribution of the projection method for Chinese character recognition” Journal of Information Science and Engineering, 16(1): 127-139, 2000.

1999

  1. Jiming Liu and Yuan Yan Tang, “Adaptive Image Segmentation with Distributed Behavior-based Agents”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 21(6): 544-551, 1999.
  2. Yuan Yan Tang, Jiming Liu, Hong Ma and Bing F. Li, “Wavelet Orthonormal Decomposition for Extracting Features in Pattern Recognition,” International Journal of Patter Recognition and Artificial Intelligence, 13(6): 803-831, 1999.
  3. Junmei Zhong, C. H. Leung and Yuan Yan Tang, “Wavelet Image Coding Based on Significance extraction Using Morphological Operations,” IEE Proceedings – Vision, Image and Signal Processing, 146(4): 206-210, 1999.

1998

  1. Yuan Yan Tang, Bing-Fa Li, Hong Ma and Jiming Liu, “Ring-Projection-Wavelet-Fractal Signatures: a Novel Approach to Feature Extraction,” IEEE Trans. on Circuits and Systems II, 45(8): 1130-1134, 1998.
  2. Yuan Yan Tang, Lo-Ting Tu, Jiming Liu, Seong-Whan Lee, Win-Win Lin and Ing-Shyh Shyu, “Offline Recognition of Chinese Handwriting by Multi-feature and Multi-level Classification,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(5): 556-561, 1998.
  3. Jiming Liu, Yuan Yan Tang and O. Khatib, “Modeling and Learning Robot Manipulation Strategies,” Experimental Robotics V, Lecture Notes in Control and Information Sciences, Springer, 232:687-700 1998.
  4. Jiming Liu and Yuan Yan Tang, “Distributed Autonomous Agents for Chinese Document Image Segmentation,” Special Issue on Oriental Document Analysis and Recognition, International Journal of Patter Recognition and Artificial Intelligence, 12(1): 97-118, 1998.
  5. Pong C. Yuen, G.C. Feng and Yuan Yan Tang, “Printed Chinese Character Similarity Measurement Using Ring-Projection and Distance Transform,” Special Issue on Oriental Document Analysis and Recognition, International Journal of Patter Recognition and Artificial Intelligence, 12(2): 209-221, 1998.
  6. Yea-Shuan Huang, Ke Liu, Ching Y. Suen and Yuan Yan Tang, “A Reliability Design Methodology for Chinese Character Recognition Systems,” Special Issue on Oriental Document Analysis and Recognition, International Journal of Patter Recognition and Artificial Intelligence, 12(2): 159-172, 1998.

1997

  1. Yuan Yan Tang, Hong Ma, Dihua Xi, Xiaogang Mao, and Ching Y. Suen, “Modified Fractal Signature (MFS): A New Approach to Document Analysis for Automatic Knowledge Acquisition,” IEEE Trans. on Knowledge and Data Engineering, 9(5): 747-762, 1997.
  2. Yuan Yan Tang, Hong Ma, Jiming Liu, Bing Fa Li, and Dihua Xi, “Multiresolution Analysis in Extraction of Reference Lines from Documents with Grey-level Background,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(8): 921-926, 1997.
  3. Jiming Liu, Yuan Yan Tang and Y. C. Cao, “An Evolutionary Autonomous Agents Approach to Image Feature Extraction,” IEEE Trans. on Evolutionary Computing, 1(2): 141-158, 1997.
  4. Jiming Liu, Yuan Yan Tang and Ching Y. Suen, “Chinese Document Layout Analysis Based on Adaptive Split-And-Merge and Qualitative Spatial Reasoning,” Special Issue, Pattern Recognition, 30(8): 1265-1278, 1997.
  5. Ke Liu, Ching Y. Suen, M. Cheriert, J. N. Said, C. Nadal and Yuan Yan Tang, “Automatic Extraction of Baselines and Data from Check Images,” International Journal of Patter Recognition and Artificial Intelligence, 11(4): 676-697, 1997.

1996

  1. Yuan Yan Tang, S-W. Lee and Ching Y. Suen, “Automatic Document Processing: A Brief Survey,” Pattern Recognition, 29(12): 1931-1952, 1996.
  2. S-W. Lee, Hong Ma and Yuan Yan Tang, “Multiresolution Recognition of Unconstrained Handwritten Numerals with Wavelet Transform and Multilayer Cluster Neural Network,” Pattern Recognition, 29(12): 1953-1061, 1996.
  3. S-W. Lee, E-S. Kim and Yuan Yan Tang, “Nonlinear Shape Restoration of Distorted Image with Coons Transformation,” Pattern Recognition, 29(2): 217-229, 1996.

1995

  1. Yuan Yan Tang, Ching Y. Suen, C.D. Yan and M. Cheriet, “Financial Document Processing Based on Staff Line and Description Language,” IEEE Trans. on Systems, Man, and Cybernetics, 25(5): 738-754, 1995.
  2. Tao Li, Yuan Yan Tang, and L.Y. Fang, “A Structured-Parameter-Adaptive (SPA) Neural Tree for The Recognition of Large Character Set,” Pattern Recognition, 28(3): 315-329, 1995.

1994

  1. Yuan Yan Tang, C.D. Yan and Ching Y. Suen, “Document Processing for Automatic Knowledge Acquisition,” IEEE Trans. on Knowledge and Data Engineering, 6(1): 3-21, 1994.
  2. Yuan Yan Tang and Ching Y. Suen, “New Algorithms for Fixed and Elastic Geometric Transformation Models” IEEE Trans. on Image Processing, 3(4): 355-366, 1994.
  3. Yuan Yan Tang and Ching Y. Suen, “RPDT Algorithm and its VLSI Implementation,” IEEE Trans. on Systems, Man, and Cybernetics, 24(1): 87-99, 1994.
  4. Yuan Yan Tang, L-T. Tu, T. Li, W-W. Lin, I-S. Shyu and Ching Y. Suen, “Chinese Character Recognition with Stroke Features and Tree-Structured Neural Network,” Journal of Computer Processing of Chinese and Oriental Languages, 8:17-36, 1994. (Invited Paper)
  5. Yuan Yan Tang and Ching Y. Suen, “Document Structures: A Survey,” Int. Journal of Patter recognition and Artificial Intelligence, 8(5): 1081-1111, 1994.

1984-1993

  1. Yuan Yan Tang and Ching Y. Suen, “Image Transformation Approach to Nonlinear Shape Restoration,” IEEE Trans. on Systems, Man, and Cybernetics, 23(1): 155-172, 1993.
  2. Yuan Yan Tang, X. Cheng, Lixin Tao and Ching Y. Suen, “Parallel Regional Transformation (RPT) and its VLSI Implementation,” Pattern Recognition, 26(4): 627-641, 1993.
  3. Z.C. Li, Ching Y. Suen, T.D. Bui, Yuan Yan Tang and Q.L. Gu, “Splitting-Integrating Method for Nonlinear Images by Inverse Transformations,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 14(6): 678-686, 1992.
  4. H.D. Cheng, Yuan Yan Tang and Ching Y. Suen, “VLSI Architectures for Image Transformation,” IEEE Trans. on Systems, Man, and Cybernetics, 21(2): 409-413, 1991.
  5. Yuan Yan Tang, H.D. Cheng, and Ching Y. Suen, “Transformation-Ring-Projection (TRP) Algorithm and its VLSI Implementation,” International Journal of Patter recognition and Artificial Intelligence, 5(1-2): 25-56. 1991.
  6. Yuan Yan Tang, Y.Z. Qu and Ching Y. Suen, “Multiple-Level Information Source and Entropy Reduced Transformations Models,” Pattern Recognition, 24(4): 341-357, 1991.
  7. Z.C. Li, T.D. Bui, Ching Y. Suen and Yuan Yan Tang, “Splitting-Shooting Method for Nonlinear Transformations of Digitized Pattern,” IEEE Trans. on Pattern Analysis and Machine Intelligence, 12(7): 671-682, 1990.
  8. Y.J. Lu, Yuan Yan Tang, P. Pirard, Y.H. Hsu And H.D. Cheng, “Measurement of Pedestrian Flow Data Using Image Analysis Technique,” The Journal, Transportation Research Record, 1281: 87-96, 1990.
  9. H.D. Cheng, Yuan Yan Tang and Ching Y. Suen, “Parallel Image Transformation and its VLSI Implementation,” Pattern Recognition, 23(10): 1113-1129, 1990.
  10. Z.C. Li, Yuan Yan Tang, T.D. Bui and Ching Y. Suen, “Shape Transformation Models and Their Application in Pattern Recognition,” International Journal of Patter Recognition and Artificial Intelligence, 4(1): 65-94, 1990.
  11. Yuan Yan Tang, “Database Machine, One of The Basic Architectures of the 5-th Generation Computer System,” Computer Engineering and Design, 4: 1-11, 1984.

Refereed Conference Papers

2020

  1. X Li, L Yang, YY Tang, P Wang, A DNA-Binding Proteins Prediction Model Using Different Property Distance Transformation, 2020 International Conference on Wavelet Analysis and Pattern Recognition.
  2. Y Liu, L Yang, YY Tang, P Wang, Comparison Of RNA Secondary Structure Using Discrete Wavelet Transform And Fractal Dimension, 2020 International Conference on Wavelet Analysis and Pattern Recognition.
  3. H Deng, L Yang, X Dang, YY Tang, P Wang, Secure Data Transmission of Smart Home Networks Based on Information Hiding, 2020 International Conference on Pattern Recognition and Artificial Intelligence.

2019

  1. Yang, LN; Wei, P; (…); Tang, YY, A Fractal Dimension and Empirical Mode Decomposition-Based Method for Protein Sequence Analysis, International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) / 30th Anniversary Conference of the Centre-for-Pattern-Recognition-and-Machine-Intelligence (CENPARMI)

2017

  1. C. W. Liu, Z. Shang, and Y. Y. Tang, “Zero-Shot Learning with Fuzzy Attribute,” in 3rd IEEE International Conference on Cybernetics, CYBCONF 2017, Exeter, United Kingdom, June 21-23, 2017, 2017, pp. 1–6. EISBN:978-1-5386-2201-8, PISBN: 978-1-5386-2202-5.
  2. Y. Lu, Y. Cheung, and Y. Y. Tang, “Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift,” in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017, pp. 2393–2399.
  3. H. Luo, Y. Y. Tang, X. Yang, L. Yang, and H. Li, “Autoencoder with Extended Morphological Profile for Hyperspectral Image Classification,” in 3rd IEEE International Conference on Cybernetics, CYBCONF 2017, Exeter, United Kingdom, June 21-23, 2017, 2017, pp. 1–4. EISBN:978-1-5386-2201-8, PISBN: 978-1-5386-2202-5.    (项目0049)
  4. J. Pan, Y. Y. Tang, and L. Yang, “A Decomposition-And-Ensemble Forecasting Method Based on EMEMD and FWNN Training by PSOSSO,” in 3rd IEEE International Conference on Cybernetics, CYBCONF 2017, Exeter, United Kingdom, June 21-23, 2017, 2017, pp. 1–5. EISBN:978-1-5386-2201-8, PISBN: 978-1-5386-2202-5.
  5. A. Qin, Z. Shang, J. Tian, A. Li, Y. Wang, and Y. Y. Tang, “Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization,” in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017, pp. 1856–1861. USBISBN: 978-1-5386-1644-4, EISBN: 978-1-5386-1645-1, PISBN: 978-1-5386-1646-8.
  6. Y. Wang, Y. Y. Tang, L. Yang, and C. Zou, “Information-theoretic generalized orthogonal matching pursuit for robust pattern classification,” in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017, pp. 501–506. USBISBN: 978-1-5386-1644-4, EISBN: 978-1-5386-1645-1, PISBN: 978-1-5386-1646-8. (项目0050)
  7. Y. Wang, Y. Y. Tang, C. Zou, and L. Yang, “Spectral-Spatial Hyperspectral Image Destriping Using Sparse Learning and Spatial Unidirection Prior,” in 3rd IEEE International Conference on Cybernetics, CYBCONF 2017, Exeter, United Kingdom, June 21-23, 2017, 2017, pp. 1–5. EISBN:978-1-5386-2201-8, PISBN: 978-1-5386-2202-5.  (项目0049)
  8. L. Yang, B. Lin, J. Pan, Y. Y. Tang, H. Luo, X. Li, and W. Cao, “Indirect Method-Potential Theory in the Harmonic Transformation Model,” in 3rd IEEE International Conference on Cybernetics, CYBCONF 2017, Exeter, United Kingdom, June 21-23, 2017, 2017, pp. 1–6. EISBN:978-1-5386-2201-8, PISBN: 978-1-5386-2202-5.

2016

  1. T. Shu, B. Zhang, and Y. Y. Tang, “Using K-NN with Weights to Detect Diabetes Mellitus Based on Genetic Algorithm Feature Selection,” in 2016 International Conference on Wavelet Analysis and Pattern Recognition, 2016, pp. 12–17. ISSN: 2158-5695.
  2. L. Sun, Y. Y. Tang, T. Wu, and P. Wang, “Road curve fitting by multi-resolution analysis,” in 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, pp. 556–559.
  3. X. Yang, Y. Y. Tang, H. W. Luo, T. Wu, L. Sun, and L. Li, “One sample based feature learning for vehicle identification,” in 2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2016, pp. 1049–1054. ISSN: 2160-1348.
  4. X. Zheng, Y. Y. Tang, J. Zhou, H. Yuan, Y. Wang, L. Yang, and J. Pan, “Multi-windowed graph Fourier frames,” in 2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2016, pp. 1042–1048. ISSN: 2160-1348.
  5. L. Sun, Y. Y. Tang, and T. Wu, “Multi-resolution-based road state estimation,” in 2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2016, pp. 1037–1041. ISSN: 2160-1348.
  6. X. Zheng, Y. Y. Tang, J. Zhou, and P. Wang, “Improving unbalanced downsampling via maximum spanning trees for graph signals,” in 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, pp. 2409–2412.
  7. H. Luo, Y. Wang, Y. Y. Tang, C. Li, and J. Wang, “Hyperspectral Image Classification Using Distance Metric Based 1-Dimensional Manifold Embedding,” in 2016 International Conference on Wavelet Analysis and Pattern Recognition, 2016, pp. 96–100. ISSN: 2158-5695.
  8. Y. Lu, Y. Cheung, and Y. Y. Tang, “Hybrid Sampling with Bagging for Class Imbalance Learning,” in Advances in Knowledge Discovery and Data Mining – 20th Pacific-Asia Conference (PAKDD), 2016, pp. 14–26.
  9. L. Li, Y. Y. Tang, and T. Wu, “How many images can tell you the direction: A new method of navigation based on images,” in 2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2016, pp. 1031–1036. ISSN: 2160-1348.
  10. Y. Lu, Y. Cheung, and Y. Y. Tang, “GOBoost: G-mean optimized boosting framework for class imbalance learning,” in 2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016, pp. 3149–3154.
  11. L. Yang, T. Li, Y. Y. Tang, J. Xu, J. Pan, H. Luo, and X. Zheng, “Direct Method-Green’s Theory: From PDE to BIE in the Geometric Transformation,” in 2016 International Conference on Wavelet Analysis and Pattern Recognition, 2016, pp. 157–161. ISSN: 2158-5695.
  12. Y. Wang, Y. Y. Tang, and L. Yang, “Adaptive weighted orthogonal matching pursuit for robust pattern classification,” in 2016 International Conference on Wavelet Analysis and Pattern Recognition, 2016, pp. 174–178. ISSN: 2158-5695.
  13. J. Pan, Y. Y. Tang, Y. Wang, X. Zheng, H. Luo, H. Yuan, and P. S. P. Wang, “A hybrid swarm optimization for neural network training with application in stock price forecasting,” in 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, pp. 4450–4453.

2015

  1. JianJia Pan, Xianwei Zheng, Lina Yang, Yulong Wang, Haoliang Yuan, Yuan Yan Tang, “A Forecasting Method Based on Extrema Mean Empirical Mode Decomposition and Wavelet Neural Network,” IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.
  2.  Lina Yang, Yuan Yan Tang, Yulong Wang, Huiwu Luo, Jianjia Pan,Haoliang Yuan, Xianwei Zheng, Chunli Li and Ting Shu, Similarity Analysis based on Sparse Representation for Protein Sequence Comparison, IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.
  3. Yulong Wang, Y.Y. Tang, Lina Yang, Huiwu Luo, Haoliang Yuan, Xianwei Zheng and Jianjia Pan, “Classification via Atomic Representation,” IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.
  4. Huiwu Luo, Yuan Yan Tang, Yulong Wang, Chunli Li, Jianzhong Wang, Tingbo Hu and Hong Li, “Hyperspectral Image Classification using One Dimensional Manifold Embedding with Spectral-Spatial based Affinity Metric,” IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.
  5. Xianwei Zheng, Yuanyan Tang, Jiantao Zhou, Lina Yang, Haoliang Yuan, Yulong Wang, Chunli Li, “Redundant Graph Fourier Transform,” IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.
  6. Chunli Li, Yuan Yan Tang, Huiwu Luo, Xianwei Zheng, “Join Gabor and Scattering Transform for Urine Sediment Particle Texture Analysis,” IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.
  7. Ting Shu, Bob Zhang, Yuan Yan Tang, “Simplified and Improved Patch Ordering for Diabetes Mellitus ,” IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015.

2014

  1. Yuan Yan Tang, Lina Yang and Hong Li, “Image Transform Based On Integral Equation-Wavelet Approach,” World Academy of Science, Engineering and Technology (WASET 2014), Jan. 20-21, London, UK, 85:735-741, 2014.
  2. Jing Chen, Yuan Yan Tang, C. L. Philip Chen and Yuewei Lin, “Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction,” 22nd International Conference on Pattern Recognition (ICPR’14), pp. 512-516, August 24-28, 2014, Stockholm, Sweden.
  3. Haoliang Yuan and Yuan Yan Tang, “Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification,” 22nd International Conference on Pattern Recognition (ICPR’14), pp. 1383-1388, August 24-28, 2014, Stockholm, Sweden.
  4. Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo and Yuan Yan Tang, “A Novel Method for Protein Structure Retrieval Using Tableau Representation and Sparse Coding,” 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 4180-4184, October 5-8, 2014, San Diego, CA, USA.
  5. Yulong Wang, Yuan Yan Tang, Lina Yang, Haoliang Yuan, Huiwu Luo and Yang Lu, “Spectral-Spatial Hyperspectral Image Destriping Using Low-Rank Representation and Huber-Markov Random Fields”, 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 311-316, October 5-8, 2014, San Diego, CA, USA.
  6. Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo, Yulong Wang and Haoliang Yuan, “Protein Sequence Analysis based on Fractal-Wavelet Scheme,” 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 4174-4179, October 5-8, 2014, San Diego, CA, USA.
  7. Haoliang Yuan, Huiwu Luo, Lina Yang, Yang Lu, Yulong Wang and Yuan Yan Tang, “Feature Extraction Based on Kernel Sparse Representation for Hyperspectral Image Classification,” 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 4210-4215, October 5-8, 2014, San Diego, CA, USA.
  8. Huiwu Luo, Yuan Yan Tang, Lina Yang, “Incorporating Local and Global Geometric Structure for Hyperspectral Image Classification,” 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 4190-4194, October 5-8, 2014, San Diego, CA, USA.
  9. Run Zong Liu, Yuan Yan Tang, Bin Fang, “Automatic Decision Support by Information Energy Decision Tree Algorithm,” 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 4185-4189, October 5-8, 2014, San Diego, CA, USA.
  10. Chong Wen Liu, Zhao Wei Shang, Yuan Yan Tang, “Cross-scene learning: Improving classification performance by using ”gray sample”,” 2014 IEEE International Conference on Systems, Man, and Cybernetics , pp. 4195-4202, October 5-8, 2014, San Diego, CA, USA.

2013

  1. Jing Li, Xueming Qian, Yuan Yan Tang, Linjun Yang, Chaoteng Liu: GPS Estimation from Users’ Photos. MMM (1) 2013: 118-129.
  2. Yuan, H. L., Lu, Y., Yang, L. N., Luo, H. W., & Tang, Y. Y. (06/2013). Sparse Representation Using Contextual Information for Hyperspectral Image Classification. The IEEE International Conference on Cybernetics (CYBCONF 2013). Lausanne.
  3. Yuan, H. L., Lu, Y., Yang, L. N., Luo, H. W., & Tang, Y. Y. (06/2013). Spectral-Spatial Linear Discriminant Analysis for Hyperspectral Image Classification. The IEEE International Conference on Cybernetics (CYBCONF 2013). Lausanne, pp. 1444-149.
  4. Luo, H. W., Yang, L. N., Yuan, H. L., & Tang, Y. Y. (06/2013). Learning Recovered Pattern from Region-Dependent Model for Hyperspectral Imagery. The IEEE International Conference on Cybernetics (CYBCONF 2013). Lausanne, pp. 150-155.
  5. Luo, H. W., Yang, L. N., Yuan, H. L., & Tang, Y. Y. (06/2013). Dimension Reduction with Randomized Anisotropic Transform for Hyperspectral Image Classification. The IEEE International Conference on Cybernetics (CYBCONF 2013). Lausanne.
  6. Dong, L., Wang, J., Li, Y. M., & Tang, Y. Y. (06/2013). Sector Projection Fourier Descriptor for Chinese Character Recognition. The IEEE International Conference on Cybernetics (CYBCONF 2013). Lausanne, pp. 162-167.
  7. Li, B., Tang, Y. Y., Zhang, Z. C., & Ding, B. Y. (05/2013). An Effective Method to Reduce False Alarms in Video Face Detection. 2013 2nd International Symposium on Electrical & Electronics Engineering (EEESYM 2013). Shijiazhuang.
  8. Guo, C. Y., Tang, Y. Y., Zhang, Z. C., & Li, B. (05/2013). An OCR Post-Processing Method Based on Dictionary Matching and Matrix Transforming. 2013 2nd International Symposium on Electrical & Electronics Engineering (EEESYM 2013). Shijiazhuang.
  9. Wang, X. W., Tang, Y. Y., Zhang, Z. C., & Duan, J. (05/2013). Multi-class Character Classification with Semi-supervised Learning. 2013 2nd International Symposium on Electrical & Electronics Engineering (EEESYM 2013). Shijiazhuang.
  10. Ding, B. Y., Tang, Y. Y., Zhang, Z. C., & Wang, X. W. (05/2013). Sparse Representation Frontal Facial Recognition Algorithm Based on Eigenface. 2013 2nd International Symposium on Electrical & Electronics Engineering (EEESYM 2013). Shijiazhuang.
  11. Duan, J., Tang, Y. Y., Zhang, Z. C., & Guo, C. Y. (05/2013). Camera Calibration And Improved Computation Of Fundamental Matrix In Epipolar Geometry. 2013 2nd International Symposium on Electrical & Electronics Engineering (EEESYM 2013). Shijiazhuang.
  12. Guo, C. Y., Tang, Y. Y., Liu, C. S., & Duan, J. (07/2013). A Japanese OCR Post-Processing Approach Based on Dictionary Matching. International Conference on Wavelet Analysis and Pattern Recognition 2013  (ICWAPR2013). Tianjin.
  13. Duan, J., Tang, Y. Y., Guo, C. Y., Fan, C., & Hu, X. C. (07/2013). Boundary Expansion: An Hidden Surface Removal Method Based on Boundary. International Conference on Wavelet Analysis and Pattern Recognition 2013  (ICWAPR2013). Tianjin.
  14. Zhao, H. J., Fang, B., & Tang, Y. Y. (09/2013). A No-Reference Image Sharpness Estimation Based on Expectation of Wavelet Transform Coefficients. 2013 IEEE International Conference on Image Processing (ICIP2013). Melbourne.

2012

  1. Zhen Chao Zhang, Yuan Yan Tang, Chang Song Liu and Xiao Qing Ding: The Derived Kernel Based Recognition Method of Vehicle Type, AMT 2012, LNCS 7669, Dec. 3-7, 2012, pp. 297–306.
  2. Zhen Chao Zhang, Yuan Yan Tang: License plate recognition algorithm based on derived kernel. 2012 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), July 15-17, 2012, pp. 238-243.
  3. Weibin Yang, Bin Fang, Yuan Yan Tang, Zhaowei Shang and Hengjun Zhao “Visual saliency estimation using support value transform,” 2012 IEEE International Conference on Image Processing (ICIP), September 30 – October 3, 2012, Orlando, Florida, U.S.A. pp.1069-1072.
  4. Yi Wang, Bin Fang, Li-Jun Lan, Hui-Wu Lu and YuanYan Tang, “Adaptive Binarization: Anewapproach to License Plate Characters Segmentation,” the 2012 International Conference on Wavelet Analysis and Pattern Recognition, Xian, 15-17 July, 2012, pp.91-99.
  5. Heng-Jun Zhao, Zhao-Wei Shang, Bin Fang and Yuan Yan Tang, “Neighborhood Distance and Its Application in Image Fusion,” the 2012 International Conference on Wavelet Analysis and Pattern Recognition, Xian, 15-17 July, 2012, pp.100-105.
  6. Zhen Chao Zhang and Yuan Yan Tang, “License Plate Recognition Algorithm Based on Derived Kernel,” the 2012 International Conference on Wavelet Analysis and Pattern Recognition, Xian, 15-17 July, 2012, pp.238-243.
  7. Jian-Jia Pan and Yuan Yan Tang, “Nonstationary Signalanalysis Based on Emd and Extremum Points,” the 2012 International Conference on Wavelet Analysis and Pattern Recognition, Xian, 15-17 July, 2012, pp.260-265.

2011

  1. Miao Cheng, Yuan Yan Tang, Chi-Man Pun, Nonparametric Feature Extraction via Direct Maximum Margin Alignment, Proceedings of IEEE International Conference on Machine Learning and Applications, 2011.
  2. Chi-Man Pun, Ning-Yu An, Miao Cheng, A Region-Based Image Segmentation by Watershed Partition and DCT Energy Compaction, International Conference on Computer Graphics, Imaging and Visualization, 2011.
  3. Jianwei Du, Zhichun Mu, Zhengguang Xu, Yuan Yan Tang and Limin Cui, “Feature Extraction in Fingerprint of Medicinal Herbs via EMD and Fractal Technique,” Biomedical Engineering and Informatics (BMEI), pp. 1715-1719, 2011.

2010

  1. Miao Cheng, Bin Fang, Jing Chen, Weibin Yang, Yuan Yan Tang, Learning the Informative Components in Nonnegative Matrix Factorization, Proceedings of IEEE International Conference on Chinese Pattern Recognition, 2010.
  2. Liang Du, Xinge You, Huihui Xu, Zhifan Gao, Yuan Yan Tang: Wavelet Domain Local Binary Pattern Features For Writer Identification. ICPR 2010: 3691-3694
  3. Jianjia Pan, Dan Zhang, Yuan Yan Tang: A fractal-based BEMD method for image texture analysis. SMC 2010: 3817-3820
  4. Dan Zhang, Jianjia Pan, Yuan Yan Tang, Chunzhi Wang: Illumination invariant face recognition based on the new phase features. SMC 2010: 3909-3914.
  5. Yuewei Lin, Bin Fang, Yuanyan Tang: A Computational Model for Saliency Maps by Using Local Entropy. AAAI 2010.

2009

  1. Dan Zhang and Yuan Yan Tang, “Extraction of Illumination-Invariant Features in Face Recognition by Empirical Mode Decomposition,” ICB, 2009, pp.102-111.
  2. Yuesheng He, Yuanyan Tang: Classification of 3D Models for the 3D Animation Environments. SMC 2009: 3786-3791.
  3. Guanghui He, Yuanyan Tang, Bin Fang, Taiping Zhang: Weightiness image Partition in 3D Face Recognition. SMC 2009: 5068-5071.

2008

  1. Jie Wu, Xinge You, Yuan Yan Tang and Yiu-ming Cheung, “Palmprint identification based on non-separable wavelet filter banks,” ICPR, 2008, pp.1-4.
  2. Yong-Hui Huang, Bao-Chang Pan, Sheng-Lin Zheng, Jianjia Pan and Yuan Yan Tang, “Lip-Reading Detection and Localization Based on Two Stage Ellipse Fitting,” Proc. of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 30-31, 2008, pp.168-171.
  3. Miao Cheng, Bin Fang, Yuan Yan Tang and Jing Wen, “An Efficient Regularized Neighborhood Discriminant Analysis through QR Decomposition,” Proc. of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 30-31, 2008, pp. 304-3-9.
  4. Quan-You Zhao, Bao-Chang Pan, Jian-Jia Pan and Yuan Yan Tang, “Facial Expression Recognition Based on Fusion of Gabor and LBP Features,” Proc. of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 30-31, 2008, pp. 362-367.
  5. Jian-Jia Pan and Yuan Yan Tang, “A Segmentation Method of Merged Numerals by Wavelet Analysis and GVF Model,” Proc. of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 30-31, 2008, pp. 502-506.
  6. Da-Yuan Xu, Zhao-Wei Shang, Yuan Yan Tang and Bin Fang, “Handwriting-Based Writer Identification with Complex Wavelet Transform,” Proc. of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 30-31, 2008, pp. 697-601.
  7. Cai-Xia Deng, Yuan Yan Tang and Zuo-Xian Fu, “Reproducing Kernel Space Based on Gabor Wavelet Transform,” Proc. of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 30-31, 2008, pp. 644-949.
  8. Yue-Sheng He and Yuan Yan Tang, “Path Planning of Virtual Human Using Reinforcement Learning” Proc. of International Conference on Machine Learning and Cybernetics 2008, Kunming, China, July 12-15, 2008, pp. 987-992.

2007

  1. Jiang-Jia Pan, Yuan Yan Tang and Bao-Chang Pan, “The Algorithm of Fast Mean Filtering,” Proc. of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, Nov. 2-4, 2007, pp. 244-251.
  2. Jing Wen, B. Fang, Yuan Yan Tang and Taiping Zhang, “Off-line Signature Verification: A New Rotation Invariant Approach,” IEEE Int. Conferences on Systems, Man, and Cybernetics: 3583-3587, 2007.
  3. Jing Wen, Bin Fang, Yuan Yan Tang, Tai-Ping Zhang and Heng-Xin Chen “Offline Signature Verification Based on the Gaber Transform,” Proc. of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, Nov. 2-4, 2007, pp. 1173-1176.
  4. S. X. Hu, Yan-Ming Xiong, Melody Z.W.Liao and Yuan Yan Tang, “Skeletonization of Ribbon-Like Shape Based on Local Minimum Modules of Wavelet Transform,” Proc. of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, Nov. 2-4, 2007, pp. 1247-1251.
  5. Tai-Ping Zhang, Bin Fang, Bin Xu, Heng-Xin Chen Miao Chen and Yuan Yan Tang, “Signature Envelope Curvature Descriptor for Offline Signature Verification,” Proc. of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, Nov. 2-4, 2007, pp. 1262-1266.
  6. Tai-Ping Zhang, Bin Fang, Guang-Hui He, Jing Wen and Yuan Yan Tang, “Laplacianfaces Incorporated Inside Nonnegative Matrix Factorization for Face Recognition,” Proc. of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, Nov. 2-4, 2007, pp. 1267-1270.
  7. Li-Min Cui, Yuan Yan Tang, Fu-Cheng Liao and Xiu-Feng Du “Face Recognition Based on Wavelet Packet Decomposition,” Proc. of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, Nov. 2-4, 2007, pp. 1437-1441.
  8. Jing Wen, Bin Fang, Yuan Yan Tang and Taiping Zhang, “Offline Signature Verification: A New Rotation Invariant Approach,” Proc. of IEEE International Conference on Systems, Man and Cybernetics, Montreal, Oct. 7-10, 2007, pp. 3583-3587.
  9. Jianjia Pan, Lanyan Xue, Shengling Zheng, Yuan Yan Tang: Image segmentation based on the method of the maximal variance and improved genetic algorithm. SMC 2007: 2923-2926.
  10. Limin Cui, Yuan Yan Tang, Fucheng Liao, Xiufeng Du: Face recognition based on discriminant waveletfaces. SMC 2007: 3561-3565.
  11. Lanyan Xue, Jianjia Pan, Baochang Pan, Shengling Zheng, Yuan Yan Tang: Face contour location based on multiple-step hiding genetic algorithm. SMC 2007: 3566-3570.
  12. Taiping Zhang, Bin Fang, Guanghui He, Jing Wen, and Yuan Yan Tang, “Face Recognition Using Topology Preserving Nonnegative Matrix Factorization,” Proc. of International Conference on Computational Intelligence and Security, Harbin, Dec. 15-19, 2007, pp. 405-409.

2006

  1. Zhenyu He, Xinge You, Yuan Yan Tang, Patrick Wang and Yun Xue, “Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices,” Proc. of ICPR (4), 2006, pp. 161-164.
  2. Xinge You, Dan Zhang, Qiuhui Chen, Patrick Wang and Yuan Yan Tang, “Face Representation By Using Non-tensor Product Wavelets,” Proc. of ICPR (1) 2006, pp. 503-506.
  3. Melody Z. W. Liao, Jun Yan wang, Wu Fan Chen and Yuan Yan Tang, “An affine Invariant Eulidean distance between images” Proc. of International Conference on Machine Learning and Cybernetics 2006, Dalian, China, Aug. 19-21, 2006, pp. 4133-4137.
  4. Bin Fang, Wen-Sheng Chen, Xinge You, Taiping Zhang, Jing Wen, Yuan Yan Tang, “Wavelet Thinning Algorithm Based Similarity Evaluation for Offline Signature Verification,” Lecture Notes in Control and Information Sciences, Vol.345, pp. 547-555, 2006.

2005

  1. Zhenyu He, Yuan Yan Tang, Bin Fang, Jianwei Du and Xinge You, “A Novel Method for Off-line Handwriting-based Writer Identification,” Proc. of ICDAR 2005, pp. 242-246.
  2. Xinhua You, Bin Fang, Xinge You, Zhenyu He, Dan Zhang and Yuan Yan Tang, “Skeleton Representation of Character Based on Multiscale Approach,” Proc. of Computational Intelligence and Security, International Conference, CIS (2) 2005: 1060-1067.
  3. Xinge You, Bin Fang, Zhenyu He and Yuan Yan Tang, “A Global-to-Local Matching Strategy for Registering Retinal Fundus Images,” Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) (1) 2005, pp. 259-267.
  4. Jianwei Yang, Xinge You, Yuan Yan Tang and Bin Fang, “A Watermarking Scheme Based on Discrete Non-separable Wavelet Transform,” Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) (1) 2005, pp. 427-434.
  5. Xinge You, Bin Fang, Yuan Yan Tang and Jian Huang, “Multiscale Approach for Thinning Ridges of Fingerprint,” Proc. of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) (2) 2005, pp. 505-512.
  6. Xinge You, Bin Fang and Yuan Yan Tang, “Wavelet-Based Approach for Skeleton Extraction,” Proc. of Workshop on Applications of Computer Vision (WACV/MOTION) 2005, pp.  228-233.
  7. Xinge You, Bin Fang, Yuan Yan Tang, Luoqing Li and Dan Zhang, “Axial Representation of Character by Using Wavelet Transform,” Proc. of Fuzzy Systems and Knowledge Discovery (FSKD) (2) 2005, pp. 130-139.
  8. Li Min Cui, Yuan Yan Tang, Fu Cheng Liao and Xiang Chu Feng, “Wavelet Approach to Image Transformationl,” Proc. of the 4th International Symposium on Information and Communication Technologies (WISICT 2005), Cape Town, South Africa, January 3-6, 2005, pp. 217-222.
  9. Xinge You, Bin Fang, Zhenyu He and Yuan Yan Tang, “Similarity Measurement for Off-Line Signature Verification,” Proc. of International Conference on Intelligent Computing (ICIC) (1) 2005, pp. 272-281.
  10. Xinge You, Bin Fang and Yuan Yan Tang, “Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach,” Proc. of International Conference on Intelligent Computing (ICNC) (3) 2005, pp. 663-667.
  11. Zhiwu Liao, Shaoxiang Hu and Yuan Yan Tang, “Region-based Mulifocus Image Fusion Based on Hough transform and wavelet domain Hidden markov models,” Proc. of International Conference on Machine Learning and Cybernetics 2005, Guangzhou, China, 19-21 Aug. 2005, pp. 5490-5495.
  12. Zhiwu Liao, Shaoxiang Hu and Yuan Yan Tang, “A Novel local denoising scheme based on context”, Proc. of International Conference on Machine Learning and Cybernetics 2005, Guangzhou, China, 19-21 Aug. 2005, pp. 5496-5500.
  13. Zhiwu Liao, Hu Shaoxiang, Wufan Chen and Yuan Yan Tang, “A Statistical Image Fusion Scheme for Multi Focus Applications”, Lecture Notes on Artificial Intelligences (LNAI) of the Springer-Verlag, 3930: pp.1096-1105, 2005.
  14. Xiaofan Yang, David J. Evans, Yuan Yan Tang: Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks. ISNN (1) 2005: 265-270.

2004

  1. Bin Fang and Yuan Yan Tang, “Reduction of Feature Statistics Estimation Error for Small Training Sample Size in Off-Line Signature Verification,” ICBA, 2004, pp. 526-532
  2. Z. W. Liao, C. M. Lam and Yuan Yan Tang, “Image processing using Template Model and wavelet domain Hidden Markov Model,” Proc. of 2004 International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, August 2004, pp. 4302-4307.
  3. Z. Y. He and Yuan Yan Tang, “Chinese Handwriting-based Writer Identification by Texture Analysis,” Proc. of 2004 International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, August 2004, pp. 3488-3491.
  4. Lu Sun, Yuan Yan Tang and Xinge You, “Corner Detection for Object Recognition by Using Wavelet Transform,” Proc. of 2004 International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, August 2004, pp. 4347-4351.
  5. Jianwei Yang, Yuan Yan Tang, Weipeng Zhang, Z. Y. He, “Construction of Orthogonal Wavelet Filters in Terms of Unitary Transform,” Proc. of 2004 International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, August 2004, pp. 3908-3912.
  6. Shouzhi Yang and Yuan Yan Tang, “Construction of Biorthogonal Interpolatory Multiscaling Function and the Corresponding Multiwavelets,” Proc. of the International Computer Congress 2004, Chongqing, May 28-30, 2004, pp. 69-74.
  7. Shouzhi Yang and Yuan Yan Tang, “The Design of Approximate Hilbert Transform Pairs of Wavelets Bases with Fractional Filters,” Proc. of the International Computer Congress 2004, Chongqing, May 28-30, 2004, pp. 216-221.
  8. Li Zeng, Shi-lin Mo, Jue Wang and Yuan Yan Tang, “The Projection of Wavelets and Its Application in Edge Detection of Computerized Tomography,” Proc. of the International Computer Congress 2004, Chongqing, May 28-30, 2004, pp. 534-539.

2003

  1. Xinge You and Yuan Yan Tang, “Skeleton Extraction of Ribbon-like Shapes Based on Wavelet Transform,” Proc. of the 3rd International Conference on Wavelet Analysis and its Application (ICWAA’03), Chongqing, May 29-31, 2003, pp. 221-227.
  2. Yuan Yan Tang, Jianwei Yang and Weipeng Zhang, “A Class of Semi-orthogonal Wavelet Packets,” Proc. of the 3rd International Conference on Wavelet Analysis and its Application (ICWAA’03), Chongqing, May 29-31, 2003, pp. 144-149.
  3. Fengshan Bai, Lizhi Gu and Yuan Yan Tang, “Invisible Pattern Recognition and Wavelet Transform,” Proc. of the 3rd International Conference on Wavelet Analysis and its Application (ICWAA’03), Chongqing, May 29-31, 2003, pp. 303-208.
  4. X. C. Feng, G. X. Song and Yuan Yan Tang, “Multiwavelet-baed Differentiation Matrix with Absorbed Boundary Conditions,” Proc. of the 3rd International Conference on Wavelet Analysis and its Application (ICWAA’03), Chongqing, May 29-31, 2003, pp. 676-681.
  5. Weiwei Wang, Yuan Yan Tang and Guohua Xu “Watermarking in Image Edges,” Proc. of the 3rd International Conference on Wavelet Analysis and its Application (ICWAA’03), Chongqing, May 29-31, 2003, pp. 799-804.
  6. Fengshan Bai, Lizhi Gu and Yuan Yan Tang, “Construction of 2-D Mother Wavelet from 1-D Mother Wavelet by Inverse Projecting,” Proc. of the 3rd International Conference on Wavelet Analysis and its Application (ICWAA’03), Chongqing, May 29-31, 2003, pp. 897-902.
  7. Xinge You, Yuan Yan Tang, Weipeng Zhang and Lu Sun, “Skeletonization of Character Based on Wavelet Transform,” Proc. of the 10th Inter. Conf. on Computer Analysis of Images and Patterns (CAIP’03), Groningen, The Netherlands, August 2003, pp. 140-148.
  8. K. K. Lau, Pong C. Yuen, and Yuan Yan Tang, “Recovery of Writing Sequence of Static Images of Handwriting using UWM,” Proc. of the 7th Inter. Conf. on Document Analysis and Recognition (ICDAR’03), Edinburgh, Scotland, August 2003, pp. 1123-1127.
  9. Yuan Yan Tang and Xinge You, “Wavelet Transform Approach to Skeletonization of Characters,” Jean‑Marc Ogie, Eric Trupin (Eds.): Pattern Recognition in Information Systems, Proc. of the 3rd International Workshop on Pattern Recognition in Information Systems, PRIS 2003, In conjunction with ICEIS 2003, Angers, France, April 2003. ICEIS Press 2003, ISBN 972‑98816‑3‑4, pp. 14‑21.

2002

  1. L. Wang, Yuan Yan Tang and X. C. Feng “Distorted Pattern Fusion using Wavelet Transform,” Proc. of 2002 International Conference on Machine Learning and Cybernetics (ICMLC 2002), November 4-5, 2002, Vol. IV, pp. 1962-1967.
  2. X. G. You, Yuan Yan Tang and L. Sun, “Skeletonization of Ribbon-Like Shapes with New Wavelet Function,” Proc. of 2002 International Conference on Machine Learning and Cybernetics (ICMLC 2002), November 4-5, 2002, Vol. IV, pp. 1869-1874.
  3. J. W. Yang, Yuan Yan Tang and Z. X. Cheng, “Construction of Orthogonal Multiwavelet,” Proc. of 2002 International Conference on Machine Learning and Cybernetics (ICMLC 2002), November 4-5, 2002, Vol. IV, pp. 1968-1972.
  4. W. P. Zhang, Q. R. Wang and Yuan Yan Tang, “A Wavelet-Based Method for Fingerprint Image Enhancement,” Proc. of 2002 International Conference on Machine Learning and Cybernetics (ICMLC 2002), November 4-5, 2002, Vol. IV, pp. 1973-1977.
  5. Z. W. Liao, E. C. M. Lam and Yuan Yan Tang, “A Novel Post-Classifier for Search Engine using Hidden Markov Model,” Proc. of 2002 International Conference on Machine Learning and Cybernetics (ICMLC 2002), November 4-5, 2002, Vol. IV, pp. 1926-1928.
  6. J. P. Song, X. Y. Yang, Y. H. Hou and Yuan Yan Tang, “Document Segmentation using Wavelet-Domain Multi-State Hidden Markov Models,” Proc. of 2002 International Conference on Machine Learning and Cybernetics (ICMLC 2002), November 4-5, 2002, Vol. II, pp. 991-994.
  7. B. Fang, C. H. Leung, Yuan Yan Tang, “Off-line signature verification with generated training samples,” Proc. of SPIE Vol. 4929 Optical Information Processing Technology, Shanghai, China, October 14-18, 2002, pp. 388-397.
  8. Yuan Yan Tang, X. C. Feng, X. G. You, Z. W. Liao and L. Sun, “A Novel Method for Harmonic Geometric Transformation Model Based on Wavelet Collocation,” Proc. of International Conference on Pattern Recognition (ICPR 2002), August 11-15, 2002, Vol. I, pp. 49-52.
  9. K. K. Lau, P. C. Yuen and Yuan Yan Tang, “Stroke Extraction and Stroke Sequence Estimation On Signatures,” Proc. of International Conference on Pattern Recognition (ICPR 2002), August 11-15, 2002, Vol. III, pp. 119-122.

2001

  1. Yuan Yan Tang, Yuhua Hou, Jinping Song and Xiaoyi Yang, “Mixture-state Document Segmentation Using Wavelet-Domain Hidden Markov Markov Tree Models,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 230-236.
  2. Jian Ping Li and Yuan Yan Tang, “General Analytic Construction for Wavelet Lowpassed Filters,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 314-320.
  3. L. Yang, X. You, R. M. Haralick, I. T. Philips and Yuan Yan Tang, “Characterization of Dirac edge with new wavelet transform,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 129-138.
  4. Wei Su, Hong Ma, Yuan Yan Tang and Michio Umeda, “Wavelet Transform Method of Waveform Estimation For Hilbert Transform of Fractional Stochastic Signals with Noise,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 296-304.
  5. Jian Ping Li, Shang An Yan and Yuan Yan Tang, “The Application of Wavelet Analysis Method to Civil Infrastructure Health Monitoring,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 393-397.
  6. Jing Zhao, Xiu Wen Yang, Jian Ping Li and Yuan Yan Tang, “DNA Sequences Classification Based on Wavelet Packet Analysis,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 424-429.
  7. Lihua Yang, Qiuhui Chen and Yuan Yan Tang, “General design of wavelet high-pass filters from reconstructional symbol,” Proc. of the 2nd International Conference on Wavelet Analysis and its Application (ICWAA’01), Hong Kong, December 18-20, 2001, pp. 326-330.
  8. Yu Tao, Thomas R. Ioerger and Yuan Yan Tang, “Extraction of Rotation Invariant Signature Based on Fractal Geometry,” Proc. of IEEE International Conference on Image Processing (ICIP’2001), Thessaloniki, Greece, Oct. 7-10, 2001, pp. 1090-1093.
  9. N. Jin and Yuan Yan Tang, “Text Area Localization under Complex-Background Using Wavelet Decomposition,” Proc. of the 6th Inter. Conf. on Document Analysis and Recognition (ICDAR’01), Seattle, USA, September 2001, pp. 1126-1130.
  10. Y. Tao and Yuan Yan Tang, “Discrimination of Oriental and Euramerican Scripts Using Fractal Feature,” Proc. of the 6th Inter. Conf. on Document Analysis and Recognition (ICDAR’01), Seattle, USA, September 2001, pp. 1115-1119.
  11. Yuan Yan Tang and N. Jin, “Chinese Character Detection from Complex-Background Documents using Wavelet Transform,” Proc. of the 19th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’01), Seoul, Korea, May 14-16, 2001, pp. 321-326.
  12. Yuan Yan Tang and Yu Tao, “Feature Extraction in Character Recognition Based on Wavelet-Fractal Method,” Proc. of the 1st Inter. Conf. on Information Technology and Application (ICITA 2001), Sanya, China, January 16-17, 2001, pp. 13-24.

2000

  1. K. M. Lee and Yuan Yan Tang, “Optical Character Recognition with Enhanced-ring-projection (ERP) Algorithm and Wavelet Transform,” Proc. of the 4th IAPR Inter. Workshop on Document Analysis Systems (DAS 2000), Rio de Janeiro, Brazil, December 2000, pp. 197-210.
  2. Yu Tao, Ernest C. M. Lam and Yuan Yan Tang, “Extraction of Fractal Feature for Pattern Recognition,” Proc. of the 15th Inter. Conf. on Pattern Recognition (ICPR 2000), Barcelona, Spain, September 2000, Vol. 2, pp. 527-530.
  3. K. K. Lau, P. C. Yuen and Yuan Yan Tang, “EDT Cased Tracing Maximum Thinning Algorithm on Grey Scale Images,” Proc. of the 15th Inter. Conf. on Pattern Recognition (ICPR 2000), Barcelona, Spain, Vol. 2, pp. 867-870, September 2000.
  4. Yuan Yan Tang and Jianping Li, “Application of Vector Biased Wavelet to Signal Processing,” Proc. of the Pacific-Asia Conf. on Microcomputer Application (PACMA2000), Hefei, China, pp. 128-134, May 2000.
  5. B. Fang, C. H. Leung, Yuan Yan Tang, P. C. K. Kwok, Y. K. Wong, “A peripheral feature based approach for off-line signature verification,” Proc. of the International Conference on Computer Vision, Pattern Recognition and Image Processing, Atlantic City, USA, March 2000, pp. 236-239.
  6. L. Feng, Yuan Yan Tang and B. Fan, “An Effective Wavelet Matrix Feature for Pattern Recognition,” Proc. of the 4th Asian Conf. on Computer Vision (ACCV2000), Taipei, Taiwan, January 2000.

1999

  1. Yuan Yan Tang, Yu Tao and Ernest C. M. Lam, “The Application of Fractal Analysis to Feature Extraction,” Proc. of 1999 Inter. Conf. on Image Processing (ICIP’99), Kobe, Japan, pp. 875-879, October 1999.
  2. Yu Tao and Yuan Yan Tang, “The Feature Extraction of Chinese Character Based on Contour Information,” Proc. of the 5th Inter. Conf. on Document Analysis and Recognition (ICDAR’99), Bangalore, India, pp. 637-640, September 1999.
  3. Yuan Yan Tang and Yu Tao, “Feature Extraction by Fractal Dimensions,” Proc. of the 5th Inter. Conf. on Document Analysis and Recognition (ICDAR’99), Bangalore, India, pp. 217-220, September 1999.
  4. Yuan Yan Tang, Q. Sun, H. Ma, D.B. Ren, Y. Tang and Z.K. Chen, “Accelerating the 2-D Mallat Decomposition Algorithm with Cyclical Convolution and FNTT,” Proc. of the 5th Inter. Conf. on Document Analysis and Recognition (ICDAR’99), Bangalore, India, pp. 87-90, September 1999.
  5. L. Feng, Yuan Yan Tang and L. H. Yang, “A Wavelet Approach to Extracting Contours of Document Images,” Proc. of the 5th Inter. Conf. on Document Analysis and Recognition (ICDAR’99), Bangalore, India, pp. 71-74, September 1999.
  6. D. H. Xi, S-W. Lee and Yuan Yan Tang, “A Novel Method for Discriminating between Oriental and European Scripts by Fractal Features,” Proc. of the 5th Inter. Conf. on Document Analysis and Recognition (ICDAR’99), Bangalore, India, pp. 345-348, September 1999.
  7. B. Fang, Y. Y. Wang, C. H. Leung and Yuan Yan Tang, “A Smoothness Index-based Approach for Off-line Signature Verification,” Proc. of the 5th Inter. Conf. on Document Analysis and Recognition (ICDAR’99), Bangalore, India, pp. 785-787, September 1999.
  8. J. M. Zhong, C. H. Leung and Yuan Yan Tang, “Wavelet Image Compression Based on Significance Clustering and Rate Distortion Optimization” Proc. of the 5th Inter. Symposium on Signal Processing and its Applications (ISSPA’99), Brisbane, Australia, pp. 831-834, August 1999.
  9. Yuan Yan Tang and Yu Tao, “New Method of Feature Extraction based on Fractal Behaviour,” Proc. of the 9th Biennial Conf. of the Inter. Graphonomics Society (IGS’99), Singapore, pp. 155-160, June 1999.
  10. Yuan Yan Tang, Y. Tao, J. Tao and D. H. Xi, “New Method of Feature Extraction Using Fractal and Wavelet,” Proc. of SPIE Inter. Optical Pattern Recognition X, Orlando, Florida, USA, pp. 248 – 258, April 1999.
  11. Yuan Yan Tang, Li Feng, J. Liu and Lihua Yang, “Multiresolution Adaptive Wavelet Edge Detection,” Proc. of the 2nd Inter. Conf. On Multimodal Interface (ICMI’99), Hong Kong, pp. V-7 – 11, January 1999.
  12. L. Zeng, Yuan Yan Tang and W. Z. Xu, “Detect Edges Respectively from the Image and Projections of ICT by Wavelet Analysis,” Proc. of the 2nd Inter. Conf. On Multimodal Interface (ICMI’99), Hong Kong, pp. VI-1 – 4, January 1999.
  13. B. Fang, C. H. Leung, Yuan Yan Tang, P. C. K. Kwok, K. W. Tse and Y. K. Wong, “Off-line Signature Verification based on a Smoothness Index,” Proc. of the 2nd Inter. Conf. On Multimodal Interface (ICMI’99), Hong Kong, pp. VI-105 – 108, January 1999.
  14. Y. Tao, Ernest C. M. Lam, C. S. Huang and Yuan Yan Tang, “Information Treatment for Chinese Character Recognition,” Proc. of the 2nd Inter. Conf. On Multimodal Interface (ICMI’99), Hong Kong, pp. VI-109 – 114, January 1999.
  15. Yuan Yan Tang, Z. K. Chen, J. H. Y. Mak and D. H. Xi, “Wavelet Method for Breast Cancer Detection in Digital Mammograms,” Proc. of the 2nd Inter. Conf. On Multimodal Interface (ICMI’99), Hong Kong, pp. VI-121 – 126, January 1999.

1998

  1. Li Feng, Qi Sun, Lihua Yang, Fu Chang and Yuan Yan Tang, “A Fast Synthesized 2-D Convolution for Contour Extraction of Document Images,” Proc. of the 3rd IAPR Workshop on Document Analysis Systems (DAS ’98), Nagano, Japan, pp. 137-140, November 1998.
  2. Yuan Yan Tang, Lihua Yang and Li Feng, “Characterization and Detection of Edges by Lipschitz Exponents and MASW Wavelet Transform,” Proc. of the 14th Inter. Conf. on Pattern Recognition (ICPR ’98), Brisbane, Australia, pp. 1572-1574, August 1998.
  3. Yuan Yan Tang, Lihua Yang and Li Feng, “Contour Detection of Handwriting by Modular-angle-Separated Wavelets,” Proc. of the 6th Inter. Workshop on Frontiers of Handwriting Recognition (IWFHR-VI), Taejon, Korea, pp. 357-366, August 1998.
  4. Yuan Yan Tang, Q. Sun, Lihua Yang and Li Feng, “Two-Dimensional Overlap-Save Method for Discrete Wavelet Transform,” Proc. of the 6th Inter. Workshop on Frontiers of Handwriting Recognition (IWFHR-VI), Taejon, Korea, pp. 627-636, August 1998.
  5. K.K. Lau, P.C. Yuen and Yuan Yan Tang, “A New Function-based On-line Signature Verification Method ,” Proc. of the 6th Inter. Workshop on Frontiers of Handwriting Recognition (IWFHR-VI), Taejon. Korea, pp. 449-454, August 1998.
  6. J.M. Zhong, C.H. Leung and Yuan Yan Tang, “An Improved Zerotree Wavelet Image Coder Based on Significance Checking in Wavelet Trees ” Proc. of the 1998 IEEE Inter. Conf. on System, Man, and Cybernetics (SMC’98), San Diego, pp. 4567-4571, October 1998.
  7. Yuan Yan Tang, “Wavelet Orthonormal Decomposition for Extracting Features in Pattern Recognition,” Vision Interface’98, Vancouver, Canada, pp. 413-420, June 1998.
  8. Yuan Yan Tang and Ching Y. Suen, “H(w)ÞMRA: Theoretical Analysis and Application to Pattern Recognition and Document Analysis,” Vision Interface’98, Vancouver, Canada, pp. 405-412, June 1998.
  9. Jiming Liu, Jianbing and Yuan Yan Tang, “On Emergence of Group Behavior in a Genetically Controlled Autonomous Agent System, ” Proc. of the 1997 IEEE Inter. Conf. on Evolutionary Computation (ICEC’98), Anchorage, AK, pp. 470-475, May 1998.
  10. Jiming Liu, and Yuan Yan Tang, “Evolutionary Image Processing, ” Proc. of the 1997 IEEE Inter. Conf. on Evolutionary Computation (ICEC’98), Anchorage, AK, pp. 283-288, May 1998.

1997

  1. Jiming Liu, David A. Maluf and Yuan Yan Tang, “Toward Evolutionary Autonomous Agents (eA2) for Computational Perception, ” Proc. of the 1997 IEEE Inter. Conf. on System, Man, and Cybernetics, Vol. 4, pp. 3096-3101, October 1997.
  2. Yuan Yan Tang, Lihua Yang and Jiming Liu, “Quadratic Spline Wavelet Approach to Automatic Extraction of Baselines from Document Images,” Proc. of the 4th Inter. Conf. on Document Analysis and Recognition (ICDAR’97), Ulm, Germany, pp. 693-696, August 1997.
  3. Zhao Xuejun, Liu Xinyu, Zheng Shengling, Pan Baochang and Yuan Yan Tang, “On-Line Recognition Handwritten Mathematical Symbols,” Proc. of the 4th Inter. Conf. on Document Analysis and Recognition (ICDAR’97), Ulm, Germany, pp. 645-658, August 1997.
  4. Chiu Lun Yu, Ching Y. Suen and Yuan Yan Tang, “Location and Recognition of Legal Amounts on Chinese Bank Cheques, ” Proc. of the 4th Inter. Conf. on Document Analysis and Recognition (ICDAR’97), Ulm, Germany, pp. 588-591, August 1997.
  5. Yuan Yan Tang and Jiming Liu, “Information Acquisition and Storage of Forms in Document Processing,” Proc. of the 4th Inter. Conf. on Document Analysis and Recognition, Ulm, Germany (ICDAR’97), pp. 170-174, August 1997.
  6. Jiming Liu, J. B. Wu and Yuan Yan Tang, “An Evolutionary Computation Approach to Group Behavior Acquisition in Autonomous Robots,” Proc. of Workshop on Intelligent Robotics: From the Structured to Less Structured Environments, Hong Kong, pp. 7-12, July 1997.
  7. Jiming Liu and Yuan Yan Tang, “Modeling and Learning Robot Manipulation Strategies,” Proc. of  the 5th Inter. Symposium on Experimental Robotics (ISER’97), pp. 579-592, June 1997.
  8. Chiu Lun Yu, Ching Y. Suen and Yuan Yan Tang, “Extraction and Recognition of Legal Amounts Using Currency Unit Key-words in Chinese Cheque Processing System,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 45-51, April 1997.
  9. Hong Ma, Yuan Yan Tang, B. Fa Li, Jiming Liu and Ching Y. Suen, “Wavelet Transform Extracting Features in Chinese Character Recognition,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 262-265, April 1997.
  10. Yuan Yan Tang, Lihua Yang and Jiming Liu, “Wavelet-based Edge Detection in Chinese Document,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 333-336, April 1997.
  11. Jiming Liu and Yuan Yan Tang, “A Spatial Reasoning Approach to Layout Analysis of Chinese Document,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 341-344, April 1997.
  12. Jiming Liu and Yuan Yan Tang, “An “Imagebots” (Image-Robots) Approach to Chinese Document Image Processing,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 41-44, April 1997.
  13. P.C. Yuen, G.C. Feng and Yuan Yan Tang, “Printed Chinese Character Similarity Measurement Using Ring-projection and Distance Transform,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. II, pp. 554-559, April 1997.
  14. W.Q. Chen, S.L. Xiao and Yuan Yan Tang, “Chinese Speech Synthesis by Multiwavelets,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 345-348, April 1997.
  15. Qichao He, Yuan Yan Tang, Jiming Liu, B. Fang and Y. Fang, “Fuzzy Inference Approach to Recognition of Chinese Speakers,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. I, pp. 289-293, April 1997.
  16. Yea-shuan Huang, L.T. Tu, A.J. Shie, I.I. Shyu, M.C. Liang, R.Y. Tsay, P.K. Huang, Yuan Yan Tang and Ching Y. Suen, “A Novel Approach for Designing Highly Reliable Chinese Character Recognition Systems,” Proc. of the 17th Inter. Conf. on Computer Processing of Oriental Languages (ICCPOL’97), Vol. II, pp. 693-696, April 1997.
  17. Jiming Liu, H. Qin, Yuan Yan Tang and Y. T. Wu, “Adaptation and Learning in Animated Creatures,” Proc. of the 1st ACM/AAAI Inter. Conf. on Autonomous Agents (Agents’97), Marina del Rey, California, pp. 371-377, February 1997.

1996

  1. Yuan Yan Tang, Hong Ma, Bing Fa Li and Jiming Liu, “Character Recognition Based on Doubechies’ Wavelet,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp.215-220, October 1996.
  2. Yuan Yan Tang, Hong Ma, Bing Fa Li and Jiming Liu, “Two-Dimensional Wavelet Transform in Document Analysis,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp. 274-279, October 1996.
  3. Qichao He, Yuan Yan Tang, Jiming Liu, Bin Fang and Yong Fang, “Fuzzy Inference Approach of Chinese Speakers,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp. 116-122, October 1996.
  4. Jiming Liu and Yuan Yan Tang, “A Method of Integrated Layout Reasoning for Locating Focus-Of-Interest in Printed Documents,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp. 262-266, October 1996.
  5. Jiming Liu and Yuan Yan Tang, “A New Generation of Autonomous Image Agents for Spontaneous Perceptual Computation of Features,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp. 293-298, October 1996.
  6. Jiming Liu and Yuan Yan Tang, “Context-Sensitive Grammer-Based Planning: A Methodology for Interpreting Task-Oriented Robotic Instructions,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp. 252-257, October 1996.
  7. Jiming Liu and Yuan Yan Tang, “Communicating with Animated Creatures in Behavioral Languages,” Proc. of the 1st Inter. Conf. on Multimodal Interface (ICMI’96), Beijing, pp. 25-30, October 1996.
  8. Jiming Liu and Yuan Yan Tang, “Evidential Inference with Embedded Pattern Classifiers: Towards a Medical Expert System for Early Cancer Diagnosis” Proc. of the 1996 IEEE Inter. Conf. on System, Man, and Cybernetics, Beijing, Vol. 2, pp. 1096-1101, October 1996.
  9. Jiming Liu, Michel C. Desmarais and Yuan Yan Tang, “A Method of Learning Implication Networks from Empirical Data: Algorithms and Monte-Carlo Simulation Based Validation” Proc. of the 1996 IEEE Inter. Conf. on System, Man, and Cybernetics, Beijing, Vol. 2, pp. 1291-1296, October 1996.
  10. Jiming Liu and Yuan Yan Tang, “Evolutionary Cellular Automata for Emergent Image Features,” Proc. of the 1996 Inter. Conf. on Neural Information Processing, Hong Kong, pp. 458-463, September 1996.
  11. Yuan Yan Tang, Bing Fa Li, Hong Ma, Jiming Liu and Ching Y. Suen, “A Novel Approach to Optical Character Recognition Based on Ring-Projection-Wavelet-Fractal Signatures,” Proc. of the 13th Inter. Conf. on Pattern Recognition (ICPR ’96), Vienna, Austria, Volume II, pp. 325-329, August 1996.
  12. Jiming Liu, Yuan Yan Tang and Ching Y. Suen, “Adaptive Rectangle-Shaped Document Segmentation and Geometric Relation Labeling: Algorithms and Experimental Results,” Proc. of the 13th Inter. Conf. on Pattern Recognition (ICPR ’96), Vienna, Austria, Volume III, pp. 763-767, August 1996.

1995

  1. Qichao He, Yuan Yan Tang, Jianzhong Long, Jiliu Zhou, K. Liu and Ching Y. Suen, “Chinese Speech Processing Using Discrete Wavelet Transform (DWT),” Proc. of the 1995 Inter. Conf. on Computer Processing of Oriental Languages, Honolulu, Hawaii, pp. 15-22, November 1995.
  2. Yuan Yan Tang, Hong Ma, Xiaogang Mao, Dan Liu and Ching Y. Suen, “A New Approach to Document Analysis Based on Modified Fractal Signature,” Proc. of the 3rd Inter. Conf. on Document Analysis and Recognition (ICDAR ’95), Montreal, Canada, pp. 567-570, August 1995.
  3. Yuan Yan Tang, Hong Ma, Dihua Xi, Yi Cheng and Ching Y. Suen, “Extraction of Reference Lines from Document with Grey-Level Background Using Sub-Image of Wavelets,” Proc. of the 3rd Inter. Conf. on Document Analysis and Recognition (ICDAR ’95), Montreal, Canada, pp. 571-574, August 1995.
  4. Jianxing Yuan, Yuan Yan Tang and Ching Y. Suen, “Four Directional Adjacency Graphs (FDAG) and their Application in Locating Fields in Forms,” Proc. of the 3rd Inter. Conf. on Document Analysis and Recognition (ICDAR ’95), Montreal, Canada, pp.752-755, August 1995.
  5. Chiu L. Yu, Yuan Yan Tang, and Ching Y. Suen, “Document Skew Detection Based on the Fractal and Least Squares Method,” Proc. of the 3rd Inter. Conf. on Document Analysis and Recognition (ICDAR ’95), Montreal, Canada, pp. 1149-1152, August 1995.
  6. E. S. Kim, S. W. Lee and Yuan Yan Tang, “Shape Restoration of Nonlinear Distorted Document Images with Coons Transformation,” Proc. of the 3rd Inter. Conf. on Document Analysis and recognition (ICDAR ’95), Montreal, Canada, pp. 235-238, August 1995.
  7. Ching Y. Suen and Yuan Yan Tang, “Analysis and Recognition of Documents by Computer,” Proc. of the Annual Symposium of the Association of Forensic Document Examiners and the 7th Biennial Conference of the International Graphonomics Society (AFDE/IGS’95), London, Ontario, Canada, pp. 152-153, (Invited Paper), August 1995.

1994

  1. Yuan Yan Tang and Ching Y. Suen, “Extraction of Peripheral Shape Features in Chinese Character Recognition,” Proc. of the 12th Inter. Conf. on Pattern Recognition, Jerusalem, Israel, Volume II, pp. 377-379, October 1994.
  2. Yuan Yan Tang, T. Li and Ching Y. Suen, “VLSI Arrays for Speech Processing with Linear Predictive Coding,” Proc. of the 12th Inter. Conf. on Pattern Recognition, Jerusalem, Israel, Volume III, pp. 357-359, October 1994.
  3. Yuan Yan Tang, L. T. Tu, W. W. Lin, L. I. S. Shyu, T. Li and Ching Y. Suen, “Chinese Character Recognition with Stroke Features and Tree-Structured Neural Network,” Proc. of the 1994 Inter. Conf. on Computer Processing of Oriental Languages, Taejon, Korea, pp. 347-352, May 1994.
  4. Yuan Yan Tang, T. Li, K. Lin and Ching Y. Suen, “Chinese Character Recognition Using Peripheral Shape Features,” Proc. of the 3rd Pacific Rim Inter. Conf. on Artificial Intelligence,  Beijing, China, pp. 809-815, August 1994.
  5. L. Y. Fang, A. Mitiche, T. Li and Yuan Yan Tang, “A Classifier Using Parzen Windows on Decision Trees,” Proc. of the 3rd Pacific Rim Inter. Conf. on Artificial Intelligence, Beijing, China, pp. 833-839, August 1994.
  6. T. Li, S. Klasa and Yuan Yan Tang, “Data Mapping for Parallel Programs with Changing Size Windows,” Proc. of the 7th Inter. Conf. on Parallel and Distributed Computing Systems (PDCS’94), Las Vegas, Nevada, October 1994.
  7. Yuan Yan Tang, Ching Y. Suen, Tao Li and L. Y. Fang, “Pattern Classification Based on Adaptive Self-Organizing Neural Network,” Proc. of the 3rd Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, Nevada, pp.103-114, April 1994.

1993

  1. Yuan Yan Tang, Tao Li and S. W. Lee, “VLSI Implementation for HVRI Algorithm in Pattern Recognition,” Proc. of the 2nd Int. Conf. on Document analysis and Recognition (ICDAR’93), Tsukuba Science City, Japan, pp. 460-463, October 1993.
  2. Yuan Yan Tang and Ching Y. Suen, “Document Structures: A Survey,” Proc. of the 2nd Int. Conf. on Document analysis and Recognition (ICDAR’93), Tsukuba Science City, Japan, pp. 99-102, October 1993.
  3. C. L. Yu, Yuan Yan Tang and Ching Y. Suen, “Document Architecture Language (DAL) Approach to Document Processing,” Proc. of the 2nd Int. Conf. on Document analysis and Recognition (ICDAR’93), Tsukuba Science City, Japan, pp. 103-106, October 1993.
  4. S. W. Lee, J. S. Park and Yuan Yan Tang, “Performance Evaluation of Nonlinear Shape Normalization Methods for Recognition of Large-Set Handwritten Oriental Characters,” Proc. of the 2nd Int. Conf. on Document analysis and Recognition (ICDAR’93), Tsukuba Science City, Japan, pp. 402-407, October 1993.
  5. Yuan Yan Tang, S. W. Lee and Ching Y. Suen, “An Approximation of Perspective Image Using Bilinear Model,” Inter. Conf. on Signal Processing’93, Beijing, pp. 953-956, October 1993.
  6. Yuan Yan Tang, Tao Li, S. W. Lee and Ching Y. Suen, “VLSI Architecture for HVRPT Algorithm,” Proc. Inter. Conf. on Signal Processing’93, Beijing, pp. 377-380, October 1993.
  7. Tao Li, D. Guo, R. Jayakumar, Yuan Yan Tang and S. Klasa, “A fuzzy learning expert system and its application,” Proc. Inter. Conf. on Artificial Intelligence AI’ 93, Tasmania, November 1993.
  8. Tao Li, and Yuan Yan Tang, “Systolizing The Covariance Analysis of Linear Predictive Coding,” Proc. The IEEE Region 10 Inter. Conf. on Computer Communication and Automation, Beijing, October 1993.
  9. Tao Li, and Yuan Yan Tang, “A Model of Parallel Interactive Processing,” The IEEE Region 10 Inter. Conf. on Computer Communication and Automation, Beijing, October 1993.

1992

  1. Yuan Yan Tang, S. W. Lee, M. Cheriet, C. D. Yan and Ching Y. Suen, “Automated Knowledge Acquisition from Form Documents,” Proc. of the 2nd Pacific Rim Inter. Conf. on Artificial Intelligence, Seoul, Korea, Vol. 2, pp. 840-846, September 1992.
  2. Yuan Yan Tang, S. W. Lee and Ching Y. Suen,  “VLSI Architecture for Pattern Recognition Based on Algorithm-Array Mapping,” Proc. of the 2nd Pacific Rim Inter. Conf. on Artificial Intelligence, Seoul, Korea, Vol. 2, pp. 1036-1042, September 1992.
  3. Yuan Yan Tang, X. Cheng, L. X. Tao and Ching Y. Suen, “VLSI Architecture for Parallel Concentration-Contour Approach,” Proc. of the 11th Inter. Conf. on Pattern Recognition, The Hague, The Netherlands, Vol. 4, pp. 151-154, August/September 1992.
  4. Yuan Yan Tang and Ching Y. Suen, “Parallel Character Recognition Based on Regional Projection Transformation (RPT),” Proc. of the 11th Inter. Conf. on Pattern Recognition, The Hague, The Netherlands, Vol. 2, pp. 631-634, August/September 1992.
  5. T. Li, Yuan Yan Tang, Ching Y. Suen, L. Y. Fang and A. Jennings, “A Structurally Adaptive Neural Tree for the Recognition of Large Character Set,” Proc. of the 11th Inter. Conf. on Pattern Recognition, The Hague, The Netherlands, Vol. 2, pp. 187-190, August/September 1992.
  6. Yuan Yan Tang, Ching Y. Suen, M. Talaat and R. Inglese, “RP Transformation for Pattern Recognition,” Proc. of Vision Interface ’92, Vancouver, Canada, pp. 225-230, May 1992.
  7. T. Li, Yuan Yan Tang, Ching Y. Suen, L.Y. Fang and A Jennings, “Adaptive Neural Tree for Pattern Recognition,” Proc. of Vision Interface ’92, Vancouver, Canada, pp. 43-48, May 1992.
  8. Yuan Yan Tang and Ching Y. Suen, “Form Understanding for Automated Knowledge Acquisition,” Proc. of Adaptive and Learning Systems ’92, Orlando, Florida, April 1992.
  9. L. Tao, X. Cheng and Yuan Yan Tang, “Efficient Heuristics for Program Mapping on Mesh Machines,” Proc. of Supercomputing Symposium ’92, Montreal, PP. 67-77, June 1992.

1991

  1. Yuan Yan Tang, Ching Y. Suen, C. D. Yan and M. Cheriet, “Document Analysis and Understanding: a brief survey,” Proc. of the 1st Int. Conf. on Document analysis and Recognition, Saint-Malo, France, pp. 17-31, September/October 1991.
  2. Yuan Yan Tang, C. D. Yan and Ching Y. Suen, “Chinese Form Pre-Processing for Automatic Data Entry,” Proc. of 1991 Int. Conf. on Computer Processing of Chinese and Oriental Languages, Taipei, Taiwan, pp. 313-318, August 1991.
  3. Yuan Yan Tang, Ching Y. Suen, Y. R. Qu and M. Zhang, “Multiple-Level Information Source Model: Theoretical Analysis and Application in Pattern Recognition,” Proc. of the IEEE 1991 Inter. Symposium on Information Theory, Budapest, Hungary, pp. 371, June 1991.
  4. Yuan Yan Tang, Y. J. Lu and Ching Y. Suen, “A Robot Vision System for Pedestrian Flow Detection,” Proc, of Intelligent Robotic Systems and Visual Communications and Image Processing ’91, Boston, USA, Vol. 1611, pp. 630-641, November 1991.
  5. C. D. Yan, Yuan Yan Tang and Ching Y. Suen, “Form Understanding System Based on Form Description Language,” Proc. of the 1st Int. Conf. on Document analysis and Recognition, Saint-Malo, France, pp.283-292, September/October 1991.
  6. S. W. Lee, H. S. Park and Yuan Yan Tang, “Translation-, Scale-, and Rotation-Invariant Recognition of Hangul Characters with Transformation Ring Projection,” Proc. of the 1st Int. Conf. on Document analysis and Recognition, Saint-Malo, France, pp. 829-836, September/October 1991.
  7. M. Zhang, Yuan Yan Tang, Ching Y. Suen and T. D. Bui, “A Study on Associating Schemes in Associative Memory Classifier,” Proc. of the IEEE 1991 Inter. Symposium on Information Theory, Budapest, Hungary, pp.372, June 1991.
  8. Z. C. Li, Ching Y. Suen, T. D. Bui, Yuan Yan Tang and Q. L. Gu, “Splitting-Integrating Method for Image Transformations,” Proc. of 2nd Int. Conf. on Industrial and Applied Mathematics (ICTAM 91), Washington D.C., pp. 125, July 1991.
  9. H. D. Cheng, Yuan Yan Tang and Ching Y. Suen, “Size-Orientation-Invariant Character Recognition and its VLSI Implementation,” Proc. of the IEEE 1991 COMPEURO Conference, Bologna, Italy, pp. 63-67, May 1991.

1984-1990

  1. Yuan Yan Tang and Ching Y. Suen, “Nonlinear Shape Restoration by Transformation Models,” Proc. of  the 10th Int. Conference on Pattern Recognition, Atlantic City, U.S.A., Vol. II, pp. 14-19, June 1990.
  2. H. D. Cheng, Yuan Yan Tang, Ching Y. Suen and Q. S. Gao, “VLSI Architecture for Image Transformation,” Proc. of the IEEE 1989 COMPEURO Conference, Hamburg, FRG, pp. 2.124-2.126, May 1989.
  3. Z. C. Li, Ching Y. Suen, T. D. Bui, Yuan Yan Tang and Q. L. Gu, “Discrete Approaches for Digital Images and Patterns of Transformations,” Proc. of the 5th Int. Conf. on Image Analysis and Processing, Positano, Italy, pp. 86-93, September 1989.
  4. Z. C. Li, Ching Y. Suen, T. D. Bui, Q. L. Gu and Yuan Yan Tang, “Digitized Images and Patterns of Perspective Transformations,” Proc. of the 5th Int. Conf. on Image Analysis and Processing,  Positano, Italy, pp. 465-569, September 1989.
  5. Y. Z. Qu, Yuan Yan Tang and Ching Y. Suen, “Entropy-Reduced Transformation (I): Theoretical Analysis and Application in Pattern Recognition,” Proc. of the IEEE Int. Computer Science Conf., Hong Kong, pp. 486-493, December 1989.
  6. Yuan Yan Tang, Y. Z. Qu and Ching Y. Suen, “Entropy-Reduced Transformation Approaches to Pattern Recognition of Complex Data Set,” Proc. of the Int. Workshop on Computer Vision, Tokyo, Japan, pp. 347-350, October 1988.
  7. Yuan Yan Tang, H. D. Cheng and Ching Y. Suen, “Size-Rotation-Invariant Character Recognition,” Proc. of 1988 Int. Conf. On Computer Processing of Chinese and Oriental Languages, Toronto, Canada, pp. 161-165, August/September 1988.
  8. Yuan Yan Tang, Z. C. Li, Ching Y. Suen and T.D. Bui, “Conversion of Chinese Characters by Transformation Models,” Proc. of 1988 Int. Conf. on Computer Processing of Chinese and Oriental Languages, Toronto, Canada, pp. 293-297, August/September 1988.
  9. K. Wang, Yuan Yan Tang and Ching Y. Suen, “Multi-Layer Projections for Classification of Similar Chinese Characters,” Proc. of the 9th Int. Conf. on Pattern Recognition, Rome, Italy, pp. 842-844, November 1988.
  10. Z. C. Li, T.D. Bui, Ching Y. Suen and Yuan Yan Tang, “Nonlinear Transformations of Digitized Pattern,” Proc. of the 9th Int. Conf. on Pattern Recognition, Rome, Italy, pp. 842-844, November 1988.
  11. Ching Y. Suen, Yuan Yan Tang and Q.R. Wang, “Feature Extraction in the Recognition of Chinese Characters Printed in Different Fonts,” Proc. of Int. Conf. Chinese Computing, Singapore, pp. 136-143, August 1986.
  12. Q. R. Wang, Ching Y. Suen and Yuan Yan Tang, “Application of A Statistical Equivalent Block Classifier in the Recognition of Chinese Characters Printed in Different Fonts,” Proc. of Int. Conf. Chinese Computing, San Francisco, USA, pp. H2.1-H2.13, February 1985.
  13. Yuan Yan Tang, Ching Y. Suen and Q.R. Wang, “Chinese Character Classification by Globally Trained Tree-Classifier and Fourier Descriptors of Condensed Patterns,” Proc. of the IEEE 1-st Int. Conf. on Computer and Applications, Beijing, China, pp. 215-220, June 1984.

Monographs

2012s

  1. Yuan Yan Tang, Document Analysis and Recognition by Wavelet and Fractal Theories, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2012.

2009

  1. Yuan Yan Tang, Wavelet Theory Approach to Pattern Recognition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2009.

2004

  1. Yuan Yan Tang, and Ling Wang, Wavelet Theory and its Application to Document Analysis and Recognition, The China Scientific Publishing, Beijing, 2004. (in Chinese)

2000

  1. Yuan Yan Tang, Lihua Yang, Jiming Liu and Hong Ma, Wavelet Theory and its Application to Pattern Recognition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2000.

1999

  1. Jianping Li and Yuan Yan Tang, Applications of the Methods of Wavelet Analysis, The Chongqing University Press, 1999.  (in Chinese)

1981-1989

  1. Z. C. Li, T. D. Bui, Yuan Yan Tang and Ching Y. Suen, Computer Transformation of Digital Images and Patterns, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1989.
  2. Yuan Yan Tang, Electronic Power Amplifier, Publishing House of P.P.T., Beijing, China, 1983. (in Chinese)
  3. Yuan Yan Tang, Electronic Designer’s Graphics, Publishing House of P.P.T., Beijing, China, 1981. (in Chinese)

Edited Books

2002

  1. P. C. Yuen, Yuan Yan Tang and Patrick Wang (Eds.), Multimodal Interface for Human-Machine Communications, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2002.

2001

  1. Yuan Yan Tang, V. Wickerhauser, P. C. Yuen and C. H. Li (Eds.), Wavelet Theory and its Applications, Springer, London, 2001.
  2. Jiming Liu, N. Zhong, Yuan Yan Tang and Pareick S. P. Wang (Eds.), Agent Engineering, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2001.

1999

  1. S.W Lee, Yuan Yan Tang and Patrick S.P. Wang (Eds.), Advances in Oriental Document Analysis and Recognition Techniques, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1999.

Refereed Book Chapters

2016

  1. Yuan Yan Tang and Haoliang Yuan, “Manifold-based Sparse Representation for Hyperspectral Image Classification,” Chapter 2.8 in Handbook of Pattern Recognition and Computer Vision, Fifth Edition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2016.

2008

  1. Zhenyu He and Yuan Yan Tang, “A Wavelet-based Statistical Method for Chinese Writer Identification,” in Applied Pattern Recognition,  edited by H. Bunke, A. Kandel and M. Last, pp. 203-220, 2008.

2005

  1. Yuan Yan Tang, “Document Analysis and Understanding,” in Handbook of Pattern Recognition and Computer Vision, Third Edition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2005.

2002

  1. Yuan Yan Tang, X. C. Feng Lu Sun L. Wang, “Geometric Transformation by Moment Method with Wavelet Matrix,” in Soft Computing Approach to Pattern Recognition and Image Processing, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2002.

1999

  1. Lihua Yang, Yuan Yan Tang, Li Feng and Z. H. Yang, “Applying B-Spline Wavelet Transform to Contour Detection of Handwritings,” in Advances in Handwriting Recognition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1999.
  2. K. K. Lau, P. C. Yuen and Yuan Yan Tang, “A new function-based on-line signature verification method, ” in Frontiers in Handwriting Recognition, pp. 559 – 568, World Scientific, 1999.
  3. Li Feng, Yuan Yan Tang, Qi Sun and Lihua Yang, “Number Theoretic Transform Approach to Handwriting Recognition,” in Advances in Handwriting Recognition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1999.
  4. Yuan Yan Tang, M. Cheriet, Jiming Liu, J. Said and Ching Y. Suen, “Document Analysis and Recognition by Computers,” in Handbook of Pattern Recognition and Computer Vision, Second Edition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1999.

1976-1996

  1. Jiming Liu, H.J. Zhou and Yuan Yan Tang, “Evolutionary Cellular Automata for Emergent Image Features,” in Shun-ichi Amari et al (Eds.) Progress in Neural Information Processing, Springer, pp. 458-463, 1996.
  2. H. Ma, D.H. Xi, X.G. Mao, Yuan Yan Tang, and Ching Y. Suen, “Document Analysis by Fractal Signatures,” in Document Analysis Systems, edited by Larry Spitz, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1995.
  3. Yuan Yan Tang and Ching Y. Suen, “Document Structures: A Survey,” in Document Image Analysis, edited by H. Bunker, Patrick S.P. Wang and H. S. Baird, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1994.
  4. Yuan Yan Tang, C.D. Yan, M. Cheriet and Ching Y. Suen, “Automatic Analysis and Understanding of Documents,” in Handbook of Pattern Recognition and Computer Vision, edited by Patrick S.P. Wang, C.H. Chen and L.F. Pau, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1993.
  5. Yuan Yan Tang, H.D. Cheng, and Ching Y. Suen, “Transformation -Ring-Projection (TRP) Algorithm and its VLSI Implementation,” in book Character and Handwriting Recognition – Expanding Frontiers, edited by Patrick S.P. Wang, The World Scientific Publishing Co. Pte, Ltd., Singapore, 1991.
  6. Yuan Yan Tang, Part II, Electronic Analog Computer, Dictionary of Electronic Technology, Beijing Publishing House, Beijing, China, 1976.

Services

Professional Services (Since 2002 – present)

Journal Editors

2003-Present Founder & Editor-in-Chief, International Journal on Wavelets, Multiresolution, and Information Processing (IJWMIP) – SCI.
1995-Present Associate Editor, International Journal of Pattern Recognition & Artificial Intelligence (IJPRAI) – SCI.
2007-2012 Associate Editor-in-Chief: Frontiers of Computer Science – SCI.
1997-Present Editorial Board – International Journal on Document Analysis and Recognition – SCI.

Conferences

2012

Congress Chair, 2012 World Intelligence Congress:

  • WI 2012 – IEEE/WIC/ACM International Conference on Web Intelligence
  • IAT 2012 – IEEE/WIC/ACM International Conference on Intelligent Agent Technology
  • AMT 2012 – IEEE/WIC/ACM International Conference on Active Media Technology
  • BI 2012 – International Conference on Brain Informatics
  • ISMIS 2012 – The 20th International Symposium on Methodologies for Intelligence Systems.
2007-2012

Founder & General Chair, International Conferences on Wavelet Analysis and Pattern Recognition (ICWAPR):

  • ICWAPR’07
  • ICWAPR’08
  • ICWAPR’09
  • ICWAPR’010
  • ICWAPR’11
  • ICWAPR’12.
2006 General Chair, The 18th International Conference on Pattern Recognition, (ICPR’06).
2004 General Chair, The International Computer Congress 2004 on Wavelet Analysis and Its Applications, and Active Media Technology.
2003 General Chair, The 3rd International Conference on Wavelet Analysis and Its Applications (ICWAA’03).
2002 Program Chair, The International Conference on Machine Learning and Cybernetics 2002 (ICMLC-2002).
2001 General Chair, The 1st International Conference on Information Technology and Application (ICITA 2001),
2001 Program Chair, The 2nd International Conference on Wavelet Analysis and Its Application (ICWAA’01).
1999 Program Chair, The 2nd International Conference on Multimodel Interface (ICMI’99).
1997 General Chair, The 17th International Conference on Computer Processing of Oriental Languages (ICCPOL’97).
1995-2012

Many international conferences:

  • Local Chairs
  • Program Committee Members
  • Session Chairs.

Reviewers

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Systems, Man, and Cybernetics (A, B, C)
  • IEEE Transactions on Knowledge Data Engineering
  • IEEE Transactions on Circuits and Systems II
  • Pattern Recognition
  • Many other journals
  • Many international conferences.

PhD Examinations

  1. The University of Sydney, Australia.
  2. The University of Hong Kong.
  3. Hong Kong City University.
  4. Hong Kong Polytechnic University.
  5. Hong Kong Baptist University.
  6. Qinghua University (清华大学), China.
  7. Chongqing University (重庆大学), China.
  8. Huazhong University of Science and Technology (华中科技大学), China.
  9. University of Science and Technology, Beijing, (北京科技大学), China.

Others

  • 国家自然科学基金评委、信息二组的副组长,组长.
  • 教育部长江学者评委.
  • 中国自动化学会常务理事.
  • 中国自动化学会会士.
  • 香港高校联资讯科技及管理协会副主席.

University Services (Since 2002 – present)

  1. Chair – The Faculty Working Group for the Internal Appointment of Chair Professors / Distinguished Professors for Faculty of Life Sciences (FLS).
  2. Member – The Faculty Working Group for the Internal Appointment of Chair Professors / Distinguished Professors for Faculty of Science and Technology (FST).
  3. Panel Member – The selection committee from Senior Instructors to Full Professors for Faculty of Health Sciences (FHS).
  4. Member – The search committee for academic recruitment for Full Professor of Finance in FBA.
  5. Member – The search committee for academic recruitment for CIS in FST.
  6. Member – The search committee for academic recruitment for ECE in FST.
  7. Member – The search committee for academic recruitment for Department of Mathematics in FST.
  8. Panel Member – Recruitment of lab position in ECE/CIS in FST.
  9. Panel Member – Faculty-level academic staff promotion advisory committee for SFT.
  10. Senate Member.

Community Services (Since 2002 – present)

2004-Present IEEE Fellow.
2004-Present IAPR Fellow (IAPR-Pattern Recognition Society)
2008-Present Founder & Chair of Technical Committee on Pattern Recognition – IEEE Systems, Man, and Cybernetics Society.
2010-2012 Member of Board of Governors, IEEE Systems, Man, and Cybernetics Society.
2001-2007 Chair of Technical Committee on Machine Learning – IEEE Systems, Man, and Cybernetics Society.
1996-2003 Senior Member, Member; Institute of Electrical and Electronics Engineers (IEEE).

Contact Details

Faculty of Science and Technology
University of Macau, E11
Avenida da Universidade, Taipa,
Macau, China

Room: E11-4094
Telephone: (853) 8822-8473
Fax: (853) 8822-2426
Email: yytang