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

Academic Qualifications | Working Experience | Award and Honor | Teaching | Research | Selected Publications | Services Contact Details


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.

 


Selected Publications

Book/Chapter Contributions (Since 2002 – present)

  1. Yuan Yan Tang, Document Analysis and Recognition by Wavelet and Fractal Theories, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2012.
  2. Yuan Yan Tang, Wavelet Theory Approach to Pattern Recognition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2009.
  3. 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.
  4. 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.
  5. Yuan Yan Tang, and Ling Wang, Wavelet Theory and its Application to Document Analysis and Recognition, The China Scientific Publishing, Beijing, 2004. (in Chinese)
  6. 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.
  7. 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.

SCI Journal Papers
Since joined University of Macau (2011)

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.

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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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. Y. Wang, Y. Y. Tang, and L. Li, “Robust face recognition via minimum error entropy-based atomic representation,” IEEE Trans. Image Process., vol. 24, no. 12, pp. 5868-5878, Dec. 2015.
  2. W. S. Chen, X. Dai, B. Pan, and Y. Y. Tang, “Semi-supervised discriminant analysis method for face recognition,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 13, no. 6, pp. 2979-2984, Nov. 2015.
  3. F. Liao, Y. Guo, and Y. Y. Tang, “Design of an optimal preview controller for linear time-varying discrete systems in a multirate setting,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 13, no. 6, Nov. 2016.
  4. X. You, W. Ou, C. P. Chen, Q. Li, Z. Zhu, and Y. Y. Tang, “Robust nonnegative patch alignment for dimensionality reduction,” IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 11, pp. 2760-2774, Nov. 2015.
  5. C. P. Chen, L. Liu, L. Chen, Y. Y. Tang, and Y. Zhou, “Weighted couple sparse representation with classified regularization for impulse noise removal,” IEEE Trans. Image Process., vol. 24, no. 11, pp. 4014-4026, Nov. 2015.
  6. F. Lang, J. Zhou, Y. Y. Tang, and Z. Shang, “A color image enhancement algorithm based on quaternion representation of vector rotation,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 13, no. 5, Sep. 2015.
  7. Y. Wang, Y. Y. Tang and L. Li, “Minimum error entropy based sparse representation for robust subspace clustering,” IEEE Trans. Signal Process., vol. 63, no. 15, pp. 4010-4021, Aug.1, 2015.
  8. H. Yuan and Y. Y. Tang, “Learning with hypergraph for hyperspectral image feature extraction,” IEEE Geosci. Remote Sens. Lett., vol. 12, no. 8, pp. 1695-1699, Aug. 2015.
  9. Y. Y. Tang, Y. Wang, L. Li, and C. L. P. Chen, “Structural atomic representation for classification,” IEEE Trans. Cybern., vol. 45, no. 12, pp. 2905-2913, Dec. 2015.
  10. J. Du, Z. Xu, Z. M, Y. Y. Tang, and T. Duan, “EMD fractal feature extraction technique in fingerprint of medicinal herbs,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 13, no. 4, Jul. 2015.
  11. T. Xia and Y. Y. Tang, “Biologically inspired small infrared target detection using local contrast mechanisms,”Int. J. Wavelets Multiresolut. Inf. Process., vol. 13, no. 4, Jul. 2015.
  12. H. Yuan and Y. Y. Tang, “Sparse representation based on set-to-set distance for hyperspectral image classification,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 8, no. 6, pp. 2464-2472, June 2015.
  13. J. Xu and Y. Y. Tang, B. Zou, B. Xu, L. Q. Li, Y. Lu, and B. C. Zhang, “The generalization ability of SVM classification based on Markov sampling,” IEEE Trans. Cybern., vol. 45, no. 6, pp. 1169-1179, June 2015.
  14. L. Chen, B. Fang, Z. Shang, and Y. Y. Tang, “Negative samples reduction in cross-company software defects prediction,” Information and Software Technology, vol. 62, pp. 67-77, Jun. 2015.
  15. Y. Y. Tang, Y. Lu, and H. Yuan, “Hyperspectral image classification based on three-dimensional scattering wavelet transform,” IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2467-2480, May 2015.
  16. J. Chen, Y. Y. Tang, C. P. Chen, B. Fang, Z. Shang, and Y Lin, “NNMap: A method to construct a good embedding for nearest neighbor classification,” Neurocomputing, vol. 52, pp. 97-108, Mar. 2015.
  17. Z. Zhao, L. Ma, Y. Cheung, X. Wu, Y. Y. Tang, and C. P. Chen, “ApLeaf: An efficient android-based plant leaf identification system,” Neurocomputing, vol. 151, pp. 1112-1119, Mar. 2015.
  18. L. Xu, B. Luo, Y. Y. Tang, and X. Ma, “An efficient multiple kernel learning in reproducing kernel hilbert spaces (RKHS), ” Int. J. Wavelets Multiresolut. Inf. Process., vol. 13, no. 2, Mar. 2015.
  19. L. Yang, Y. Y. Tang, Y. Lu and H. Luo, “A fractal dimension and wavelet transform based method for protein sequence similarity analysis,” IEEE/ACM Trans. Comput. Biol. Bioinf., vol. 12, no. 2, pp. 348-359, Mar. 2015.
  20. H. Luo, Y. Y. Tang, and L. Yang. “Subspace learning via local probability distribution for hyperspectral image classification,” Mathematical Problems in Engineering,  2015
  21. H. Luo, Y. Y. Tang, C. Li, and L. Yang, “Local and global geometric structure preserving and application to hyperspectral image classification,” Mathematical Problems in Engineering 2015.
  22. K. Sun, P. Li, W. Tao, and Y. Y. Tang, “Feature guided biased gaussian mixture model for image matching,” Information Sciences, vol. 295, pp. 323-336, Feb. 2015.
  23. J. Xu, Y. Y. Tang, B. Zou, Z. Xu, L. Li and Y. Lu, “The generalization ability of online SVM classification based on Markov sampling,” IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 3, pp. 628-639, Mar. 2015.

2014

  1. Y. Y. Tang, H. Yuan and L. Li, “Manifold-based sparse representation for hyperspectral image classification,” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 12, pp. 7606-7618, Dec. 2014.
  2. J. Chen, Y. Y. Tang, C. L. P. Chen, B. Fang, Y. Lin, and Z. Shang, “Multi-label learning with fuzzy hypergraph regularization for protein subcellular location prediction,” IEEE Trans. Nanobiosci., vol. 13, no. 4, pp. 438-447, Dec. 2014.
  3. X. Qian, X. S. Hua, Y. Y. Tang and T. Mei, “Social image tagging with diverse semantics,” IEEE Trans. Cybern., vol. 44, no. 12, pp. 2493-2508, Dec. 2014.
  4. J. Yu, Y. Rui, Y. Y. Tang and D. Tao, “High-order distance-based multiview stochastic learning in image classification,” IEEE Trans. Cybern., vol. 44, no. 12, pp. 2431-2442, Dec. 2014.
  5. X. Liu, S. J. Peng, Y. Cheung, Y. Y. Tang and J. X. Du, “Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation,” IET Image Proc., vol. 8, no. 12, pp. 824-832, Dec. 2014.
  6. J. Li, X. Qian, Q. Li, Y. Zhao, L. Wang, and Y. Y. Tang, “Mining near duplicate image groups, ” Multimedia Tools and Applications, vol. 74, no. 2, pp. 655-669, Jan. 2015.
  7. J. Gui, D. Tao, Z. Sun, Y. Luo, X. You, and Y. Y. Tang, “Group sparse multiview patch alignment framework with view consistency for image classification,” IEEE Trans. Image Process., vol. 23, no. 7, pp. 3126-3137, July 2014.
  8. T. Zhang, Y. Y. Tang, C. L. P. Chen, Z. Shang, and B. Fang, “An approximate closed-form solution to correlation similarity discriminant analysis,” Neurocomputing, vol. 135, pp. 284-298, Jul. 2014.
  9. H. Yuan and Y. Y. Tang, “A novel sparsity-based framework using max pooling operation for hyperspectral image classification,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol. 7, no. 8, pp. 3570-3576, Aug. 2014.
  10. J. Du, C. M. Zhai, Y. L. Guo, Y. Y. Tang, P. L. P. Chen, and C. Lung, “Recognizing complex events in real movies by combining audio and video features,” Neurocomputing, vol.137, pp. 89-95, Aug. 2014.
  11. Z. Zhang, L. Liu, W. Tao, and Y. Y. Tang, “Confidence-driven infrared target detection,” Infrared Phys. Technol., vol. 66, no. 9, pp. 78-83, Sep. 2014.
  12. H. Li, G. Xiao, T. Xia, Y. Y. Tang, and L. Li, “Hyperspectral image classification using functional data analysis,” IEEE Trans. Cybern., vol. 44, no. 9, pp. 1544-1555, Sep. 2014.
  13. B. Zou, Y. Y. Tang, Z. Xu, L. Li, J. Xu, and Y. Lu, “The generalization performance of regularized regression algorithms based on markov sampling,” IEEE Trans. Cybern., vol. 44, no. 9, pp. 1497-1507, Sep. 2014.
  14. R. Z. Liu, Y. Y. Tang, and B. Fang, “Topological coding and its application in the refinement of SIFT,” IEEE Trans. Cybern.,  vol. 44, no. 11, pp. 2155-2166, Nov. 2014.
  15. J. Zhou, O. C. Au, G. Zhai, Y. Y. Tang, and X. Liu, “Scalable compression of stream cipher encrypted images through context-adaptive sampling,” IEEE Trans. Inf. Forensics Secur., vol. 9, no. 11, pp. 1857-1868, Nov. 2014.
  16. H. Li, Y. Wei, Y. Y. Tang, and Q. Wang, “Sparse-based neural response for image classification,” Neurocomputing, vol. 144, no. 1, pp. 198-207, Nov. 2014.
  17. M. Cheng, C. M. Pun, and Y. Y. Tang, “Nonnegative class-specific entropy component analysis with adaptive step search criterion,” Pattern Analysis and Applications, vol. 17, no. 1, pp. 113-127, Feb. 2014.
  18. Y. Zheng, H. Cheng, Y. Y. Tang, and B. Fang, “Optimized trajectory recovery of on‐road vehicles from monocular videos with multiple constraints,” IEEJ Trans. Electr. Electron. Eng., vol. 9, no. 2, pp. 200-206, Mar. 2014.
  19. Y. Y. Tang, Z. Shao, F. Lang, X. Xu, and R. K. Yeh, “On the circular-l(2, 1)-labelling for strong products of paths and cycles,” LET Communications, vol. 8, no. 8, pp. 774-779, Mar. 2014.
  20. Y. Y. Tang, T. Xia, Y. Wei, H. Li, and L. Li, “Hierarchical kernel-based rotation and scale invariant similarity, ” Pattern Recognit., vol. 47, no. 4, pp. 1674-1688, Apr. 2014.
  21. W. Ou, X. You, D. Tao, P. Zhang, Y. Y. Tang, and Z. Zhu, “Robust face recognition via occlusion dictionary learning,” Pattern Recognit., vol. 47, no. 4, pp. 1559-1572, Apr. 2014.
  22. J. Xu, Y. Y. Tang, B. Zou, Z. Xu, L. Li, and Y. Lu, “Generalization performance of gaussian kernels svmc based on markov sampling, ” Neural Networks, vol. 53, no. 5, pp. 40-51, May. 2014.
  23. F. Lang, J. Zhou, Y. Y. Tang, H. Yu, S. Cang, and Z. Shang. “Characteristics analysis of wavelet coefficients and its applications in image compression,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 23, no. 3, May. 2014.
  24. H. Yuan, Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, “Hyperspectral image classification based on regularized sparse representation,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 7, no. 6, pp. 2174-2182, Jun. 2014.
  25. H. Yuan, Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, “Spectral-spatial classification of hyperspectral image based on discriminant analysis,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 7, no. 6, pp. 2035-2043, Jun. 2014.
  26. R. Liu, Y. Y. Tang, B. Fang, and J. Pi, “An enhanced version and an incremental learning version of visual-attention-imitation convex hull algorithm,” Neurocomputing, vol. 133, no. 8, pp. 231-236, June. 2014.
  27. J. Zhou, X. Liu, O. C. Au, and Y. Y. Tang, “Designing an efficient image encryption-then-compression system via prediction error clustering and random permutation,” IEEE Trans. Inf. Forensics Secur., vol. 9, no. 1, pp. 39-50, Jan. 2014.
  28. L. Yang, Y. Y. Tang, X. C. Feng, and L. Sun, “Integral equation-wavelet collocation method for geometric transformation and application to image processing,” Abstract and Applied Analysis, vol. 3, pp. 1-17, Apr. 2014.
  29. L. Yang, Y. Y. Tang, and Q. Sun, “Implementation of 2d discrete wavelet transform by number theoretic transform and 2d overlap-save method,” Mathematical Problems in Engineering, May. 2014.
  30. J. Chen, Y. Y. Tang, C. L. Chen, B. Fang, Z. Shang, and Y. Lin, “Similarity measure learning in closed-form solution for image classification,” The Scientific World Journal, Jan. 2014.
  31. C. L. P. Chen, H. Li, Y. Wei, T. Xia, and Y. Y. Tang, “A local contrast method for small infrared target detection,” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 574-581, Jan. 2014.
  32. W. Liu, D. Tao, J. Cheng, and Y. Y. Tang, “Multiview hessian discriminative sparse coding for image annotation,” Comput. Vision Image Understanding, vol. 118, no. 1, pp. 50-60, Jan. 2014.

2013

  1. H. Chen, L. Li, Y. Y. Yuan, X. Li, and Y. Y. Tang, “Error analysis of stochastic gradient descent ranking,” IEEE Tran. Cybern., vol. 43, no. 3, pp. 898-909, Jun. 2013.
  2. H. Chen, Y. Zhou, Y. Y. Tang, L. Li, and Z. Pan, “Convergence rate of the semi-supervised greedy algorithm,” Neural Networks, vol. 44, no. 8, pp. 44-50, Aug. 2013.
  3. H. Chen, Y. Zhou, Y. Y. Tang, and Z. Pan, “Generalization performance of support vector classifiers for density level detection,” Neurocomputing, vol. 119, no. 16, pp. 434-438, Nov. 2013.
  4. J. Li, X. Qian, Y. Y. Tang, L. Yang, and T. Mei, “GPS estimation for places of interest from social users’ uploaded photos,” IEEE Trans. Multimedia, vol. 15, no. 8, pp. 2058-2071, Dec. 2013.
  5. B. Zou, L. Li, Z. Xu, T. Luo, and Y. Y. Tang, “Generalization performance of fisher linear discriminant based on Markov sampling, ” IEEE Trans. Neural Networks Learn. Syst., vol. 24, no. 2, pp. 288-300, Feb. 2013.
  6. Z. Gong, J. Guo, Y. Y. Tang, and P. S. P. Wang. “Filtering terms from the web for image annotations,” Int. J. Pattern Recognit Artif Intell., vol. 27, no. 1,
  7. Y. Zheng, B. Fang, Y. Y. Tang, T. Zhang, and R. Liu, “Learning orthogonal projections for isomap,” Neurocomputing, vol. 103, pp. 149-154, Mar. 2013.
  8. X. Qian, Y. Y. Tang, Z. Yan, and K. Hang, “Isaboost: a weak classifier inner structure adjusting based Adaboost algorithm—Isaboost based application in scene categorization, ” Neurocomputing, vol. 103, no. 2, pp. 104-113,  Mar. 2013.
  9. W. Yang, Y. Y. Tang, B. Fang, Z. Shang, and Y. Lin, “Visual saliency detection with center shift,” Neurocomputing, vol. 103, no. 2, pp. 63-74, Mar. 2013.
  10. H. Zhao, Z. Shang, Y. Y. Tang, and B. Fang, “Multi-focus image fusion based on the neighbor distance,” Pattern Recognit., vol. 46, no. 3, pp. 1002-1011, Mar. 2013.
  11. R. A. M. Alsaidi, H. Li, Y. T. Wei, R. Khaji, and Y. Y. Tang, “Hierarchical sparse method with applications in vision and speech recognition,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 11, no. 2, Mar. 2013.
  12. H. Chen, Z. Pan, L. Li, and Y. Y. Tang, “Error analysis of coefficient-based regularized algorithm for density-level detection,” Neural Comput., vol. 25, no. 4, pp. 1107-1121, Apr. 2013.
  13. Z. Fu, C. Deng, and Y. Y. Tang, “A method for construction of bivariate n-band wavelet tight frames,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 11, no. 3, May. 2013.
  14. W. Yang, B. Fang, Y. Y. Tang, J. Qian, X. Qin, and W. Yao, “A robust inclinometer system with accurate calibration of tilt and azimuth angles,” IEEE Sens. J., vol. 13, no. 6, pp. 2313-2321, Jun. 2013.
  15. Y. Lin, Y. Y. Tang, B. Fang, Z. Shang, Y. Huang, and S. Wang, “A visual-attention model using earth mover’s distance-based saliency measurement and nonlinear feature combination,” IEEE Trans Pattern Anal Mach Intell, vol. 35, no. 2, pp. 314-328, Feb. 2013.
  16. J. Peng, L. Li, and Y. Y. Tang, “Combination of activation functions in extreme learning machines for multivariate calibration,” Chemom. Intell. Lab. Syst., vol. 120, no. 10, pp. 53-58, Jan. 2013.
  17. B. Xu, Z. W. Shang, Y. Y. Tang, and B. Fang, “Occlusion robust face recognition with scattering operator in gradient domain,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 11, no. 1, Jan. 2013.

2012

  1. X. Qian, X. Hou, Y. Y. Tang, H. Wang, and Z. Li, “Hidden conditional random field-based soccer video events detection,” LET Image Proc., vol. 6, no. 9, pp. 1338-1347, Dec. 2012.
  2. W.S. Chen, W. Wang, J. W. Yang, and Y. Y. Tang. “Supervised regularization locality-preserving projection method for face recognition,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 10, no. 6, Nov. 2012.
  3. S. Zeng, Y. Y. Tang, Y. Wei, and H. Qin, “An algorithm of detecting outliers in SVR,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 10, no. 5, Sep. 2012.
  4. T. Zhang, Y. Y. Tang, B. Fang, and Y. Xiang, “Document clustering in correlation similarity measure space,” IEEE Trans. Knowl. Data Eng., vol. 24, no. 6, pp. 1002-1013, Jun. 2012.
  5. C. Jing, Y. Y. Tang, B. Fang, and G. Chang, “In silico prediction of toxic action mechanisms of phenols for imbalanced data with random forest learner,” J. Mol. Graphics Modell., vol. 35, no. 3, pp. 21-27, May. 2012.
  6. H. E. Yuesheng and Y. Y. Tang, “Autonomous behaviors of graphical avatars based on machine learning,” Int. J. Pattern Recognit Artif Intell., vol. 26, no. 2, Mar. 2012.

2011

  1. H. Chen, Y. Y. Tang, B. Fang, and J. Wen, “Illumination invariant face recognition using fabemd decomposition with detail measure weight,” Int. J. Pattern Recognit Artif Intell., vol. 25, no. 8, pp. 1261-1273, Dec. 2011.
  2. M. Cheng, B. Fang, C. M. Pun, and Y. Y. Tang, “Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space,” Neurocomputing, vol. 74, no. 9, pp. 1478-1484, Apr. 2011.
  3. F. Liao, Y. Y. Tang, H. Liu, and Y. Wang, “Design of an optimal preview controller for continuous-time systems,” Int. J. Wavelets Multiresolut. Inf. Process., vol. 9, no. 4, pp. 655-673, Jun. 2011.
  4. Y. Y. Tang, L. Cui, and N. Jin, “Wavelet decomposition of pseudo-motion image and application to frequency segmentation,” Int. J. Pattern Recognit Artif Intell., vol. 25, no. 7, pp. 1089-1112, Nov. 2011.

Conference Papers (Since 2002 – present)

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. T. Shu, B. Zhang, and Y. Y. Tang, “Simplified and Improved Patch Ordering for Diabetes Mellitus detection,” in 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015, pp. 371–376.
  2. L. Yang, Y. Y. Tang, Y. Wang, H. Luo, J. Pan, H. Yuan, X. Zheng, C. Li, and T. Shu, “Similarity analysis based on sparse representation for protein sequence comparison,” in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, 2015, pp. 382–387.
  3. X. Zheng, Y. Tang, J. Zhou, L. Yang, H. Yuan, Y. Wang, and C. Li, “Redundant graph Fourier transform,” in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, 2015, pp. 406–409.
  4. C. Li, Y. Y. Tang, H. Luo, and X. Zheng, “Join Gabor and scattering transform for urine sediment particle texture analysis,” in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, 2015, pp. 410–415.
  5. R. Lan, Y. Zhou, Y. Y. Tang, and C. L. P. Chen, “Image denoising using non-local fuzzy means,” in IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015, Chengdu, China, July 12-15, 2015, 2015, pp. 196–200.
  6. H. Luo, Y. Y. Tang, Y. Wang, C. Li, J. Wang, T. Hu, and H. Li, “Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric,” in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, 2015, pp. 394–398.
  7. X. Zhang, S. Yang, Y. Y. Tang, and W. Zhang, “Crowd Motion Monitoring with Thermodynamics-Inspired Feature,” in Proceedings of the Twenty-Ninth {AAAI} Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, {USA.}, 2015, pp. 4300–4302.
  8. Y. Wang, Y. Y. Tang, L. Yang, H. Luo, H. Yuan, X. Zheng, and J. Pan, “Classification via atomic representation,” in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, 2015, pp. 388–393.
  9. J. Pan, X. Zheng, L. Yang, Y. Wang, H. Yuan, and Y. Y. Tang, “A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network,” in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, 2015, pp. 377–381.
  10. S. Yu, W. Ou, X. You, Y. Mou, X. Jiang, and Y. Tang, “Single image rain streaks removal based on self-learning and structured sparse representation,” in 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015, pp. 215–219.
  11. S. Yu, X. You, K. Zhao, W. Ou, and Y. Tang, “Kernel normalized mixed-norm algorithm for system identification,” in 2015 International Joint Conference on Neural Networks (IJCNN), 2015, pp. 1–6. ISSN: 2161-4393.
  12. J. Wang, Y. Y. Tang, L. Chen, C. L. P. Chen, and C. T. Chen, “A new fast-F-CONFIS training of fully-connected neuro-fuzzy inference system,” in 2015 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), 2015, pp. 99–104.

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. (ISSN: 2010-376X)
  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.

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