Home PAMI Research Group Openings Research Publications Teaching Professional Activities Awards

For a complete and up-to-date list of my publications, please refer to my Google Scholar page.

Monographs

    1. J. Li, B. Zhang, and D. Zhang, Information Fusion: Machine Learning Methods, Springer, Singapore: Springer, 2022.
    2. B. Zhang*, Q. Zhao, and D. Zhang, Facial Multi-Characteristics and Applications, Singapore: World Scientific Publishing, 2018.
    3. D. Zhang, H. Zhang, and B. Zhang, Tongue Image Analysis, Springer, Singapore: Springer, 2017.

Journal Publications

    1. Zhou, Q. Zhang, S. Zeng, B. Zhang*, and L. Fang, “Latent linear discriminant analysis for feature extraction via isometric structural learning,” Pattern Recognition, vol. 149, pp. 110218, 2024.
    2. Zhou, G. Wang, S. Zeng, and B. Zhang*, “Learning with Euler Collaborative Representation for Robust Pattern Analysis,” ACM Transactions on Intelligent Systems and Technology, vol. 14, no. 6, pp. 1-25, 2023.
    3. Jiang, Y. Lu, B. Zhang, and G. Lu, “AGP-Net: Adaptive Graph Prior Network for Image Denoising,” IEEE Transactions on Industrial Informatics, pp. 1-12, 2023.
    4. Zhang, J. Zhao, B. Zhang, C. Gong, J. Qian, and J. Yang, “Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2023.
    5. Li, R. Ma, J. Zhou, B. Zhang*, and L. Wu, “Joint Discriminative Analysis with Low-Rank Projection for Finger Vein Feature Extraction,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 959-969, 2023.
    6. Zhao, Y. Qin, and B. Zhang*, “Adversarially Learning Occlusions by Backpropagation for Face Recognition,” Sensors, vol. 23, no. 20, pp. 8559, 2023.
    7. Zhang, J. Zhou, Y. Xu, and B. Zhang*, “Collaborative representation induced broad learning model for classification,” Applied Intelligence, vol. 53, no. 20, pp. 23442-23456, 2023.
    8. Zhang, Z. Ying, J. Zhou, J. Sun, and B. Zhang*, “Broad Learning Model with a Dual Feature Extraction Strategy for Classification,” Mathematics, vol. 11, no. 19, pp. 4087, 2023.
    9. Zhang, B. Wen, Z. Zha, B. Zhang, Y. Tang, G. Yu, and W. Du, “Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-14, 2023.
    10. Yang, H. Huangfu, L. Leng, B. Zhang, A.B.J. Teoh, and Y. Zhang, “Comprehensive Competition Mechanism in Palmprint Recognition,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 5160-5170, 2023.
    11. Hao, G. Wang, B. Zhang*, L. Fang, and H. Li, “An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 8, pp. 1772-1774, 2023.
    12. Qin, and B. Zhang*, “Privacy-Preserving Biometrics Image Encryption and Digital Signature Technique Using Arnold and ElGamal,” Applied Sciences, vol. 13, no. 14, pp. 8117, 2023.
    13. Zhang, J. Gao, J. Qian, J. Yang, C. Xu, and B. Zhang, “Linear Regression Problem Relaxations Solved by Nonconvex ADMM with Convergence Analysis,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-11, 2023.
    14. Li, F. Li, J. Li, H. Li, B. Zhang, D. Tao, and X. Gao, “Logical Relation Inference and Multiview Information Interaction for Domain Adaptation Person Re-Identification,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-13, 2023.
    15. Hao, G. Wang, B. Zhang*, Z. Feng, H. Li, F. Chong, Y. Pan, and W. Li, “A Novel Public Sentiment Analysis Method Based on an Isomerism Learning Model via Multiphase Processing,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-11, 2023.
    16. Yang, W. Xia, Y. Qiao, Z. Lu, B. Zhang, L. Leng, and Y. Zhang, “CO3Net: Coordinate-Aware Contrastive Competitive Neural Network for Palmprint Recognition,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 2514114, 2023.
    17. Hao, B. Zhang*, D. Mao, J. Yen, Z. Zhao, M. Zuo, H. Li, and C.Z. Xu, “A novel method using LSTM-RNN to generate smart contracts code templates for improved usability,” Multimedia Tools and Applications, vol. 82, pp. 41669-41699, 2023.
    18. Xiao, B. Zou, X. Kui, C. Zhu, W. Zhang, X. Yang, and B. Zhang, “A multi‐feature‐based intelligent redundancy elimination scheme for cloud‐assisted health systems,” CAAI Transactions on Intelligence Technology, pp. 1-20, 2023.
    19. Zhang, Y. Zhang, Z. Wang, W. Long, W. Gao, and B. Zhang, “Sparse representation scheme with enhanced medium pixel intensity for face recognition,” CAAI Transactions on Intelligence Technology, pp. 1-12. 2023.
    20. S. Li, H. Zhang, R. Ma, J. Zhou, J. Wen, and B. Zhang*, “Linear discriminant analysis with generalized kernel constraint for robust image classification,” Pattern Recognition, vol. 136, 109196, 2023.
    21. G. Wang, Z. Hao, B. Zhang*, L. Fang, and D. Mao, “A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises,” Applied Intelligence, vol. 53, no. 2, pp. 1219-1232, 2023.
    22. J. Zhou, S. Zeng, and B. Zhang*, “Learning salient self-representation for image recognition via orthogonal transformation,” Expert Systems with Applications, vol. 212, 118663, 2023.
    23. S. Zeng, Y. Rao, B. Zhang*, and Y. Xu, “Joint Augmented and Compressed Dictionaries for Robust Image Classification,” ACM Transactions on Multimedia Computing, Communications and Applications, vol. 19, pp. 1-24, 2023.
    24. G. Wang, Z. Hao, H. Li, and B. Zhang*, “An activated variable parameter gradient‐based neural network for time‐variant constrained quadratic programming and its applications,” CAAI Transactions on Intelligence Technology, pp. 1-10, 2023.
    25. C. Tian, M. Zheng, W. Zuo, B. Zhang, Y. Zhang, and D. Zhang, “Multi-stage image denoising with the wavelet transform,” Pattern Recognition, vol. 134, 109050, 2023.
    26. X. Luo, W. Wang, Y. Xu, Z. Lai, X. Jin, B. Zhang, and D. Zhang, “A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence,” CAAI Transactions on Intelligence Technology, pp. 1-14, 2023.
    27. J. Wu, R. Cong, L. Fang, C. Guo, B. Zhang, and P. Ghamisi, “Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network,” Science China Information Sciences, vol. 66, no. 1, pp. 1-2, 2023.
    28. Z. Yang, L. Leng, A.B.J. Teoh, B. Zhang, and Y. Zhang, “Cross-database attack of different coding-based palmprint templates,” Knowledge-Based Systems, vol. 264, 110310, 2023.
    29. L. Liao, M. Yang, and B. Zhang, “Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, pp. 920-934, 2023.
    30. S. Zhao, J. Wu, B. Zhang*, L. Fei, S. Li, and P. Zhao, “Adaptive Graph Embedded Preserving Projection Learning for Feature Extraction and Selection,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, vol. 2, pp. 1060-1073, 2023.
    31. W. Wen, Z. Zhang, L. Fei, B. Zhang*, Y. Xu, Z. Zhang, and J. Li, “A Survey on Incomplete Multiview Clustering,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, pp. 1136-1149, 2023.
    32. Z. Yang, L. Leng, B. Zhang, M. Li, and J. Chu, “Two novel style-transfer palmprint reconstruction attacks,” Applied Intelligence, vol. 53, no. 6, pp. 6354-6371, 2023.
    33. G. Wang, Z. Hao, B. Zhang*, and L. Jin, “Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations,” Information Sciences, vol. 588, pp. 106-123, 2022.
    34. H. Zhang, F. Qian, B. Zhang, W. Du, J. Qian, and J. Yang, “Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations,” IEEE Transactions on Multimedia, pp. 1-11, 2022.
    35. L. Sun, J. Wen, J. Wang, Y. Zhao, B. Zhang, J. Wu, and Y. Xu, “Two‐view attention‐guided convolutional neural network for mammographic image classification,” CAAI Transactions on Intelligence Technology, pp. 1-15, 2022.
    36. R. Ma, S. Li, B. Zhang*, L. Fang, and Z. Li, “Flexible and Generalized Real Photograph Denoising Exploiting Dual Meta Attention,” IEEE Transactions on Cybernetics, pp. 1-13, 2022.
    37. S. Li, R. Ma, L. Fei, and B. Zhang*, “Learning compact multirepresentation feature descriptor for finger-vein recognition,” IEEE Transactions on Information Forensics and Security, vol. 17, pp. 1946-1958, 2022.
    38. J. Yan, B. Zhang*, M. Zhou, H.F. Kwok, and S.W.I. Siu, “Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network,” Computers in Biology and Medicine, vol. 147, 105717, 2022.
    39. J. Wen, S. Deng, L. Fei, Z. Zhang, B. Zhang, Z. Zhang, and Y. Xu, “Discriminative Regression With Adaptive Graph Diffusion,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-13, 2022.
    40. X. Lu, J. Long, J. Wen, L. Fei, B. Zhang, and Y. Xu, “Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction,” Pattern Recognition, vol. 131, 108844, 2022.
    41. Y. Lu, Q. Zhu, B. Zhang*, Z. Lai, and X. Li, “Weighted Correlation Embedding Learning for Domain Adaptation,” IEEE Transactions on Image Processing, vol. 31, pp. 5303-5316, 2022.
    42. Y. Zhang, Z. Wang, X. Zhang, Z. Cui, B. Zhang, J. Cui, and L.L. Janneh, “Application of improved virtual sample and sparse representation in face recognition,” CAAI Transactions on Intelligence Technology, pp. 1-12, 2022.
    43. Q. Zhang, J. Wen, J. Zhou, and B. Zhang*, “Missing-view completion for fatty liver disease detection,” Computers in Biology and Medicine, vol. 150, 106097, 2022.
    44. G. Wang, Q. Li, S. Liu, H. Xiao, and B. Zhang*, “New zeroing neural network with finite-time convergence for dynamic complex-value linear equation and its applications,” Chaos, Solitons & Fractals, vol. 164, 112674, 2022.
    45. J. Zhou, Q. Zhang, S. Zeng, and B. Zhang*, “Fuzzy Graph Subspace Convolutional Network,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2022.
    46. G. Wang, Z. Hao, H. Huang, and B. Zhang*, “A proportional-integral iterative algorithm for time-variant equality-constrained quadratic programming problem with applications,” Artificial Intelligence Review, pp. 1-22, 2022.
    47. L. Fang, D. Zhu, J. Yue, B. Zhang, and M. He, “Geometric-Spectral Reconstruction Learning for Multi-Source Open-Set Classification With Hyperspectral and LiDAR Data,” IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 10, pp. 1892-1895, 2022.
    48. J. Yan, J. Cai, B. Zhang*, Y. Wang, D.F. Wong, and S.W.I. Siu, “Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning,” Antibiotics, vol. 11, no. 10, 1451, 2022.
    49. S. Zhao, L. Fei, J. Wen, B. Zhang*, P. Zhao, and S. Li, “Structure Suture Learning-Based Robust Multiview Palmprint Recognition,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-13, 2022.
    50. J. Zhou, B. Zhang*, and S. Zeng, “Consensus Sparsity: Multi-context Sparse Image Representation via L∞-induced Matrix Variate,” IEEE Transactions on Image Processing, vol. 32, pp. 603-616, 2022.
    51. T. Guo, X. Tan, L. Yang, Z. Liang, B. Zhang, and L. Zhang, “Domain adaptive subspace transfer model for sensor drift compensation in biologically inspired electronic nose,” Expert Systems with Applications, vol. 208, 118237, 2022.
    52. L. Wu, L. Fang, J. Yue, B. Zhang, P. Ghamisi, and M. He, “Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images,” IEEE Transactions on Image Processing, vol. 31, pp. 7419-7434, 2022.
    53. S. Zhao, J. Wu, L. Fei, B. Zhang*, and P. Zhao, “Double-cohesion learning based multiview and discriminant palmprint recognition,” Information Fusion, 2022.
    54. L. Fei, S. Zhao, W. Jia, B. Zhang, J. Wen, and Y. Xu, “Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12, 2022.
    55. J. Cai, M. Liu, Q. Zhang, Z. Zhao, J. Zhou, Y. Guo, J. Liu, X. Wang, B. Zhang*, “Renal Cancer Detection: Fusing Deep and Texture Features from Histopathology Images,” BioMed Research International, vol. 2022, pp. 1-17, 2022.
    56. S. Zhao, J. Wu, B. Zhang*, and L. Fei, “Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation,” Pattern Recognition, vol. 123, pp. 108346, 2022.
    57. R. Ma, S. Li, B. Zhang*, and H. Hu, “Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising,” IEEE Transactions on Image Processing, vol. 31, pp. 2053-2066, 2022.
    58. X. Liang, Z. Li, D. Fan, B. Zhang, G. Lu, and D. Zhang, “Innovative Contactless Palmprint Recognition System Based on Dual-Camera Alignment,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-13, 2022.
    59. M. Lu, L. Fang, M. Li, B. Zhang, Y. Zhang, and P. Ghamisi, “NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery,” IEEE Transactions on Geoscience and Remote Sensing, 2022.
    60. T. Guo, F. Luo, L. Fang, and B. Zhang, “Meta-Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair Learning for Hyperspectral Target Detection,” Remote Sensing, vol. 14, no. 3, pp. 481, 2022.
    61. Z. Zhao, Z. Hao, G. Wang, D. Mao, B. Zhang*, M. Zuo, J. Yen, and G. Tu, “Sentiment Analysis of Review Data Using Blockchain and LSTM to Improve Regulation for a Sustainable Market,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 17, no. 1, pp. 1-19, 2022.
    62. J. Zhou, S. Zeng, and B. Zhang*, “Kernel nonnegative representation-based classifier,” Applied Intelligence, pp. 1-21, 2022.
    63. S. Zhao, L. Fei, J. Wen, J. Wu, and B. Zhang, “Intrinsic and Complete Structure Learning Based Incomplete Multiview Clustering,” IEEE Transactions on Multimedia, 2021.
    64. J. Zhou, B. Zhang*, S. Zeng, and Q. Lai, “Joint Discriminative Latent Subspace Learning for Image Classification,” IEEE Transactions on Circuits and Systems for Video Technology, 2021.
    65. S. Li, B. Zhang*, L. Fei, S. Zhao, and Y. Zhou, “Learning Sparse and Discriminative Multimodal Feature Codes for Finger Recognition,” IEEE Transactions on Multimedia, 2021.
    66. J. Xie, L. Fang, B. Zhang, J. Chanussot, and S. Li, “Super resolution guided deep network for land cover classification from remote sensing images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2021.
    67. W. Jia, W. Xia, B. Zhang*, Y. Zhao, L. Fei, W. Kang, D. Huang, and G. Guo, “A survey on dorsal hand vein biometrics,” Pattern Recognition, vol. 120, 108122, 2021.
    68. J. Zhou, Q. Zhang, and B. Zhang*, “Two-phase non-invasive multi-disease detection via sublingual region,” Computers in Biology and Medicine, vol. 137, 104782, 2021.
    69. B. Zhang*, and J. Zhou, “Multi-feature representation for burn depth classification via burn images,” Artificial Intelligence in Medicine, vol. 118, 102128, 2021.
    70. J. Zhou, S. Zeng, and B. Zhang*, “Sparsity-induced Graph Convolutional Network for Semi-supervised Learning,” IEEE Transactions on Artificial Intelligence, vol. 2, no. 6, pp. 549-563, 2021.
    71. L. Fei, B. Zhang*, J. Wen, S. Teng, S. Li, and D. Zhang, “Jointly Learning Compact Multi-view Hash Codes for Few-shot FKP Recognition,” Pattern Recognition, vol. 115, 107894, 2021.
    72. L. Fei, B. Zhang*, C. Tian, S. Teng, and J. Wen, “Jointly Learning Multi-instance Hand-based Biometric Descriptor,” Information Sciences, vol. 562, pp. 1-12, 2021.
    73. Z. Hao, G. Wang, D. Mao*, B. Zhang*, H. Li, M. Zuo, Z. Zhao, and J. Yen, “A Novel Method for Food Market Regulation by Emotional Tendencies Predictions from Food Reviews Based on Blockchain and SAEs,” Foods, vol. 10, 1398, 2021.
    74. J. Zhou, Q. Zhang, and B. Zhang*, “Subspace-level Dictionary Fusion for Robust Multimedia Classification,” Multimedia Tools and Applications, pp. 1-10, 2021.
    75. R. Ma, S. Li, B. Zhang*, and Z. Li, “Towards Fast and Robust Real Image Denoising with Attentive Neural Network and PID Controller,” IEEE Transactions on Multimedia, pp. 1-12, 2021.
    76. S. Zeng, B. Zhang*, J. Gou, Y. Xu, and W. Huang, “Fast and Robust Dictionary-based Classification for Image Data,” ACM Transactions on Knowledge Discovery from Data, pp. 1-22, 2021.
    77. S. Wu, Y. Xu, B. Zhang, J. Yang, and D. Zhang, “Deformable Template Network (DTN) for Object Detection,” IEEE Transactions on Multimedia, pp. 1-11, 2021.
    78. S. Li, and B. Zhang*, “Joint Discriminative Sparse Coding for Robust Hand-Based Multimodal Recognition,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 3186-3198, 2021.
    79. Q. Zhang, J. Zhou, and B. Zhang*, “Computational Traditional Chinese Medicine Diagnosis: A Literature Survey,” Computers in Biology and Medicine, vol. 133, 104358, 2021.
    80. L. Fei, B. Zhang*, Y. Xu, C. Tian, and I. Rida, “Jointly Heterogeneous Palmprint Discriminant Feature Learning,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12, 2021.
    81. S. Li, B. Zhang*, L. Fei, and S. Zhao, “Joint Discriminative Feature Learning for Multimodal Finger Recognition,” Pattern Recognition, vol. 111, pp. 107704, 2021.
    82. S. Li, B. Zhang*, S. Zhao, and J. Yang, “Local discriminant coding based convolutional feature representation for multimodal finger recognition,” Information Sciences, vol. 547, pp. 1170-1181, 2021.
    83. Q. Zhang, J. Zhou, B. Zhang*, and E. Wu, “DsNet: Dual stack network for detecting diabetes mellitus and chronic kidney disease,” Information Sciences, vol. 547, pp. 945-962, 2021.
    84. J. Zhou, Q. Zhang, and B. Zhang*, “An automatic multi-view disease detection system via Collective Deep Region-based Feature Representation,” Future Generation Computer Systems, vol. 115, pp. 59-75, 2021.
    85. R. Ma, B. Zhang*, Y. Zhou, Z. Li, and F. Lei, “PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, 2021.
    86. J. Wen, H. Sun, L. Fei, J. Li, Z. Zhang, and B. Zhang*, “Consensus guided incomplete multi-view spectral clustering,” Neural Networks, vol. 133, pp. 207-219, 2021.
    87. J. Li, Z. Li, G. Lu, Y. Xu, B. Zhang, and D. Zhang, “Asymmetric Gaussian Process multi-view learning for visual classification,” Information Fusion, vol. 65, pp. 108-118, 2021.
    88. Q. Zhang, J. Zhou, and B. Zhang*, “Graph Based Multichannel Feature Fusion for Wrist Pulse Diagnosis,” IEEE Journal of Biomedical and Health Informatics, pp. 1-12, 2020.
    89. S. Zhao, and B. Zhang*, “Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition,” IEEE Transactions on Image Processing, vol. 30, pp. 1001-1014, 2020.
    90. J. Zhou, S. Zeng, and B. Zhang*, “Linear Representation-Based Methods for Image Classification: A Survey,” IEEE Access, vol. 8, pp. 216645-216670, 2020.
    91. S. Du, J. Yang, H. Zhang, B. Zhang, and Z. Su, “FVSR-Net: an end-to-end Finger Vein Image Scattering Removal Network,” Multimedia Tools and Applications, pp. 1-18, 2020.
    92. J. Zhou, S. Zeng, and B. Zhang*, “Two-stage knowledge transfer framework for image classification,” Pattern Recognition, vol. 107, 107529, 2020.
    93. S. Zeng, B. Zhang*, J. Gou, and Y. Xu, “Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification,” IEEE Transactions on Cybernetics, pp. 1-14, 2020.
    94. J. Li, B. Zhang, G. Lu, Y. Xu, F. Wu, and D. Zhang, “Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2020.
    95. W. Cao, L. Lyu, X. Ren, B. Zhang, Z. Yang, and E. Wu, “Fracture Patterns Design for Anisotropic Models with the Material Point Method,” Computer Graphics Forum, vol. 39, no. 7, pp. 93-104, 2020.
    96. J. Li, M. Li, G. Lu, B. Zhang, H. Yin, and D. Zhang, “Similarity and diversity induced paired projection for cross-modal retrieval,” Information Sciences, vol. 539, pp. 215-228, 2020.
    97. L. Fei, B. Zhang*, L. Zhang, W. Jia, J. Wen, and J. Wu, “Learning Compact Multifeature Codes for Palmprint Recognition From a Single Training Image per Palm,” IEEE Transactions on Multimedia, pp. 1-13, 2020.
    98. J. Wen, K. Yan, Z. Zhang, Y. Xu, J. Wang, L. Fei, and B. Zhang, “Adaptive Graph Completion Based Incomplete Multi-view Clustering,” IEEE Transactions on Multimedia, pp. 1-12, 2020.
    99. S. Zeng, B. Zhang*, and J. Gou, “Learning double weights via data augmentation for robust sparse and collaborative representation-based classification,” Multimedia Tools and Applications, vol. 79, pp. 20617-20638, 2020.
    100. S. Zeng, B. Zhang*, Y. Zhang, and J. Gou, “Dual sparse learning via data augmentation for robust facial image classification,” International Journal of Machine Learning and Cybernetics, vol. 11, pp. 1717-1734, 2020.
    101. Q. Zhang, J. Zhou, B. Zhang*, W. Jia, and E. Wu, “Automatic Epicardial Fat Segmentation and Quantification of CT Scans Using Dual U-Nets With a Morphological Processing Layer,” IEEE Access, vol. 8, pp. 128032-128041, 2020.
    102. S. Zhao, and B. Zhang*, “Joint Constrained Least-Square Regression with Deep Convolutional Feature for Palmprint Recognition,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-12, 2020.
    103. L. Fei, B. Zhang*, S. Teng, Z. Guo, S. Li, and W. Jia, “Joint Multi-view Feature Learning for Hand-print Recognition,” IEEE Transactions on Instrumentation and Measurement, vol. 69, pp. 9743-9755, 2020.
    104. T. Guo, F. Luo, L. Zhang, B. Zhang, X. Tan, and X. Zhou, “Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 3521-3533, 2020.
    105. C. Tian, Y. Xu, W. Zuo, B. Zhang, L. Fei, and C.W. Lin, “Coarse-to-fine CNN for image super-resolution,” IEEE Transactions on Multimedia, pp. 1-14, 2020.
    106. J. Qian, J. Yang, Y. Xu, J. Xie, Z. Lai, and B. Zhang, “Image decomposition based matrix regression with applications to robust face recognition,” Pattern Recognition, vol. 102, 107204, 2020.
    107. J. Wu, B. Zhang, Y. Xu, and D. Zhang, “Illuminance Compensation and Texture Enhancement via the Hodge Decomposition,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-16, 2020.
    108. R. Ma, B. Zhang, and H. Hu, “Gaussian Pyramid of Conditional Generative Adversarial Network for Real-World Noisy Image Denoising,” Neural Processing Letters, pp. 1-16, 2020.
    109. J. Li, X. Guo, G. Lu, B. Zhang, Y. Xu, F. Wu, and D. Zhang, “DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion,” IEEE Transactions on Image Processing, vol. 29, pp. 4816-4831, 2020.
    110. S. Zhao, and B. Zhang*, “Deep Discriminative Representation for Generic Palmprint Recognition,” Pattern Recognition, vol. 98, 107071, 2020.
    111. S. Zhao, and B. Zhang*, “Learning Salient and Discriminative Descriptor for Palmprint Feature Extraction and Identification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, pp. 5219-5230, 2020.
    112. L. Fei, B. Zhang*, W. Jia, J. Wen, and D. Zhang, “Feature Extraction for 3-D Palmprint Recognition: A Survey,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 3, pp. 645-656, 2020.
    113. W. Cao, Z. Yang, X. Ren, L. Lyu, B. Zhang, Y. Zhang, and E. Wu, “An improved solution for deformation simulation of nonorthotropic geometric models,” Computer Animation and Virtual Worlds, vol. 31, no. 1, e1915, 2020.
    114. Z. Hao, D. Mao*, B. Zhang*, M. Zuo, and Z. Zhao, “A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain,” International Journal of Environmental Research and Public Health, vol. 17, no. 7, 2300, 2020.
    115. J. Li, B. Zhang, G. Lu, J. You, Y. Xu, F. Wu, and D. Zhang, “Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, pp. 4791-4805, 2019.
    116. J. Wu, B. Zhang, Y. Xu, and D. Zhang, “Tongue Image Alignment via Conformal Mapping for Disease Detection,” IEEE Access, vol. 8, pp. 9796-9808, 2019.
    117. H. Zhang, J. Qian, B. Zhang, J. Yang, C. Gong, and Y. Wei, “Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees,” IEEE Transactions on Image Processing, vol. 29, pp. 3132-3142, 2019.
    118. S. Wang, L. Zhang, W. Zuo, and B. Zhang, “Class-specific reconstruction transfer learning for visual recognition across domains,” IEEE Transactions on Image Processing, vol. 29, pp. 2424-2438, 2019.
    119. W. Yan, B. Zhang*, Z. Yang, and S. Xie, “Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering,” IEEE Access, vol. 7, pp. 166380-166389, 2019.
    120. Q. Zhang, J. Zhou, J. He, X. Cun, S. Zeng, and B. Zhang*, “A shell dataset, for shell features extraction and recognition,” Scientific Data, vol. 6, no. 1, pp. 1-9, 2019.
    121. X. Wang, B. Zhang, M. Yang, K. Ke, and W. Zheng, “Robust joint representation with triple local feature for face recognition with single sample per person,” Knowledge-Based Systems, vol. 181, 104790, 2019.
    122. S. Zeng, B. Zhang*, Y. Lan, and J. Gou, “Robust collaborative representation-based classification via regularization of truncated total least squares,” Neural Computing and Applications, vol. 31, no. 10, pp. 5689-5697, 2019.
    123. L. Ye, B. Zhang, M. Yang, and W. Lian, “Triple-translation GAN with multi-layer sparse representation for face image synthesis,” Neurocomputing, vol. 358, pp. 294-308, 2019.
    124. L. Zhang, J. Liu, B. Zhang, D. Zhang, and C. Zhu, “Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data,” IEEE Transactions on Image Processing, vol. 29, pp. 1016-1029, 2019.
    125. J. Li, B. Zhang, G. Lu, and D. Zhang, “Dual Asymmetric Deep Hashing Learning,” IEEE Access, vol. 7, pp. 113372-113384, 2019.
    126. W. Nie, and B. Zhang*, “Robust and adaptive ROI extraction for hyperspectral dorsal hand vein images,” IET Computer Vision, vol. 13, pp. 595-604, 2019.
    127. S. Zhao, and B. Zhang*, and C.L.P. Chen, “Joint deep convolutional feature representation for hyperspectral palmprint recognition,” Information Sciences, vol. 489, pp. 167-181, 2019.
    128. J. Li, G. Lu, B. Zhang, J. You, and D. Zhang, “Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification,” IEEE Transactions on Cybernetics, pp. 1-14, 2019.
    129. S. Zhao, and B. Zhang*, “Robust and adaptive algorithm for hyperspectral palmprint region of interest extraction,” IET Biometrics, vol. 8, pp. 391-400, 2019.
    130. T. Shu, B. Zhang*, and Y.Y. Tang, “Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier,” IEEE Access, vol. 7, pp. 49669-49679, 2019.
    131. H. Zhang, C. Gong, J. Qian, B. Zhang, C. Xu, and J. Yang, “Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, pp. 2916-2925, 2019.
    132. L. Fei, B. Zhang*, Y. Xu, Z. Guo, J. Wen, and W. Jia, “Learning Discriminant Direction Binary Palmprint Descriptor,” IEEE Transactions on Image Processing, vol. 28, pp. 3808-3820, 2019.
    133. L. Fei, B. Zhang, Y. Xu, W. Jia, J. Wen, and J. Wu, “Precision direction and compact surface type representation for 3D palmprint identification,” Pattern Recognition, vol. 87, pp. 237-247, 2019.
    134. Z. Zhong, J. Wen, B. Zhang, and Y. Xu, “A general moving detection method using dual-target nonparametric background model,” Knowledge-Based Systems, vol. 164, pp. 85-95, 2019.
    135. L. Fei, B. Zhang*, Y. Xu, D. Huang, W. Jia, and J. Wen, “Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, pp. 468-481 2019.
    136. W. Nie, B. Zhang*, and S. Zhao, “Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance,” Applied Sciences, vol. 9, no. 19, 4178, 2019.
    137. J. Zhou, Q. Zhang, B. Zhang*, and X. Chen, “TongueNet: A Precise and Fast Tongue Segmentation System Using U-Net with a Morphological Processing Layer,” Applied Sciences, vol. 9, pp. 3128, 2019.
    138. J. Zhou, and B. Zhang*, “Collaborative Representation Using Non-Negative Samples for Image Classification,” Sensors, vol. 19, pp. 2609, 2019.
    139. L. Fei, B. Zhang*, W. Zhang, and S. Teng, “Local apparent and latent direction extraction for palmprint recognition,” Information Sciences, vol. 473, pp. 59-72, 2019.
    140. J. Li, B. Zhang, G. Lu, J. You, and D. Zhang, “Body surface feature-based multi-modal Learning for Diabetes Mellitus detection,” Information Sciences, vol. 472, pp. 1-14, 2019.
    141. J. Li, B. Zhang, G. Lu, and D. Zhang, “Generative multi-view and multi-feature learning for classification,” Information Fusion, vol. 45, pp. 215-226, 2019.
    142. T. Shu, B. Zhang*, and Y.Y. Tang, “An Improved Noninvasive Method to Detect Diabetes Mellitus Using the Probabilistic Collaborative Representation based Classifier,” Information Sciences, vol. 467, pp. 477-488, 2018.
    143. B. Zhang*, N. Wei, and Z. Shuping, “A Novel Color Rendition Chart for Digital Tongue Image Calibration,” Color Research & Application, vol. 43, pp. 749-759, 2018.
    144. J. Wen, B. Zhang*, Y. Xu, J. Yang, and N. Han, “Adaptive Weighted Nonnegative Low-Rank Representation,” Pattern Recognition, vol. 81, pp. 326-340, 2018.
    145. J. Li, B. Zhang, and D. Zhang, “Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 4272-4286, 2018.
    146. J. Li, B. Zhang, G. Lu, H. Ren, and D. Zhang, “Visual Classification with Multi-Kernel Shared Gaussian Process Latent Variable Model,” IEEE Transactions on Cybernetics, vol. 49, pp. 2886-2899, 2018.
    147. B. Zhang*, X. Xiao, and G. Lu, “Facial beauty analysis based on features prediction and beautification models,” Pattern Analysis and Applications, vol. 21, no. 2, pp. 529-542, 2018.
    148. L. Luo, J. Yang, B. Zhang, J. Jiang, and H. Huang, “Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 5330-5344, 2018.
    149. T. Shu, B. Zhang*, and Y.Y. Tang, “Sparse Supervised Representation Based Classifier for Uncontrolled and Imbalanced Classification,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-10, 2018.
    150. W. Yan, B. Zhang*, and Z. Yang, “A Novel Regularized Nonnegative Matrix Factorization for Spectral-Spatial Dimension Reduction of Hyperspectral Imagery,” IEEE Access, vol. 6, pp. 77953-77964, 2018.
    151. J. Li, B. Zhang, and D. Zhang, “Joint discriminative and collaborative representation for fatty liver disease diagnosis,” Expert Systems with Applications, vol. 89, pp. 31-40, 2017.
    152. T. Shu, B. Zhang*, and Y.Y. Tang, “Novel Noninvasive Brain Disease Detection System Using a Facial Image Sensor,” Sensors, vol. 17, pp. 2843, 2017.
    153. S. Zeng, B. Zhang*, and Y. Du, “Joint distances by sparse representation and locality-constrained dictionary learning for robust leaf recognition,” Computers and Electronics in Agriculture, vol. 142, pp. 563-571, 2017.
    154. W. Yan, B. Zhang*, S. Ma, and Z. Yang, “A novel regularized concept factorization for document clustering,” Knowledge-Based Systems, vol. 135, pp. 147-158, 2017.
    155. X. Chen, Z. Wei, Z. Li, J. Liang, Y. Cai, and B. Zhang, “Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation,” Knowledge-Based Systems, vol. 132, pp. 249-262, 2017.
    156. W. Jia, B. Zhang*, J. Lu, Y. Zhu, Y. Zhao, W. Zuo, and H. Ling, “Palmprint Recognition Based on Complete Direction Representation,” IEEE Transactions on Image Processing, vol. 26, pp. 4483-4498, 2017.
    157. H. Zhang, J. Yang, J. Xie, J. Qian, and B. Zhang, “Weighted sparse coding regularized nonconvex matrix regression for robust face recognition,” Information Sciences, vol. 394, pp. 1-17, 2017.
    158. K. Zhang, D. Huang, B. Zhang, and D Zhang, “Improving texture analysis performance in biometrics by adjusting image sharpness,” Pattern Recognition, vol. 66, pp. 16-25, 2017.
    159. Z. Zhong, B. Zhang, G. Lu, Y. Zhao, and Y. Xu, “An Adaptive Background Modeling Method for Foreground Segmentation,” IEEE Transactions on Intelligent Transportation Systems, vol. 18, pp. 1109-1121, 2017.
    160. J. Li, D. Zhang, Y. Li, J. Wu, and B. Zhang, “Joint similar and specific learning for diabetes mellitus and impaired glucose regulation detection,” Information Sciences, vol. 384, pp. 191-204, 2017.
    161. T. Shu, B. Zhang*, and Y.Y. Tang, “An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions,” Computers in Biology and Medicine, vol. 83, pp. 69-83, 2017.
    162. 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, vol. 2017, Article ID 7483639, 2017
    163. Y. Xu, Z. Li, B. Zhang, J. Yang, and J. You, “Sample diversity, representation effectiveness and robust dictionary learning for face recognition,” Information Sciences, vol. 375, pp. 171-182, 2017.
    164. L. Fei, Y. Xu, B. Zhang, X. Fang, and J. Wen, “Low-rank representation integrated with principal line distance for contactless palmprint recognition,” Neurocomputing, vol. 218, pp. 264-275, 2016.
    165. Y. Liu, B. Zhang, G. Lu, and D. Zhang, “Online 3D Ear Recognition by Combining Global and Local Features,” PLoS ONE, vol. 11, e0166204, 2016.
    166. L. Luo, L. Chen, J. Yang, J. Qian, and B. Zhang, “Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition,” IEEE Transactions on Image Processing, vol. 25, pp. 5757-5767, 2016.
    167. L. Fei, B. Zhang, Y. Xu, and L.P. Yan, “Palmprint Recognition Using Neighboring Direction Indicator,” IEEE Transactions on Human-Machine Systems, vol. 46, pp. 787-798, 2016.
    168. Y. Guo, D. Tao, J. Cheng, A. Dougherty, Y. Li, K. Yue, and B. Zhang, “Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition,” IEEE Transactions on Multimedia, vol. 18, pp. 1977-1987, 2016.
    169. Y. Luo, L.Y. Zhao, B. Zhang, W. Jia, F. Xue, J.T. Lu, Y.H. Zhu, and B.Q. Xu, “Local line directional pattern for palmprint recognition,” Pattern Recognition, vol. 50, pp. 26-44, 2016.
    170. Y. Xu, J. Dong, B. Zhang, and D. Xu, “Background modeling methods in video analysis: A review and comparative evaluation,” CAAI Transactions on Intelligence Technology, vol. 1, pp. 43-60, 2016.
    171. Y. Xu, B. Zhang, and Z.F. Zhong, “Multiple Representations and Sparse Representation for Image Classification,” Pattern Recognition Letters, vol. 68, pp. 9-14, 2015.
    172. T. Shu, and B. Zhang*, “Non-invasive Health Status Detection System Using Gabor Filters Based on Facial Block Texture Features,” Journal of Medical Systems, vol. 39, no. 4, pp. 1-8, 2015.
    173. Y. Liu, B. Zhang, and D. Zhang, “Ear-Parotic Face angle: A unique feature for 3D ear recognition,” Pattern Recognition Letters, vol. 53, pp. 9-15, 2015.
    174. B. Zhang*, and H. Zhang, “Significant Geometry Features in Tongue Image Analysis,” Evidence-Based Complementary and Alternative Medicine, vol. 2015, Article ID 897580, 2015.
    175. B. Zhang*, B.V.K. Vijaya Kumar, and D. Zhang, “Noninvasive Diabetes Mellitus Detection using Facial Block Color with a Sparse Representation Classifier,” IEEE Transactions on Biomedical Engineering, vol. 61, no. 4, pp. 1027-1033, 2014.
    176. B. Zhang*, B.V.K. Vijaya Kumar, and D. Zhang, “Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy using Tongue Color, Texture, and Geometry Features,” IEEE Transactions on Biomedical Engineering, vol. 61, no. 2, pp. 491-501, 2014.
    177. X. Wang, B. Zhang, Z. Yang, H. Wang, and D. Zhang, “Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics,” IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 5336-5347, 2013.
    178. X. Wang, B. Zhang, Z. Guo, and D. Zhang, “Facial Image Medical Analysis System Using Quantitative Chromatic Feature,” Expert Systems With Applications, vol. 40, no. 9, pp. 3738-3746, 2013.
    179. B. Zhang*, X. Wang, J. You, and D. Zhang, “Tongue Color Analysis for Medical Application,” Evidence-Based Complementary and Alternative Medicine, vol. 2013, Article ID 264742, 11 pages, 2013.
    180. B. Zhang, W. Li, P. Qing, and D. Zhang, “Palm-Print Classification by Global Features,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 2, pp. 370-378, 2013.
    181. B. Zhang, X. Wang, F. Karray, Z. Yang, and D. Zhang, “Computerized Facial Diagnosis using both Color and Texture Features,” Information Sciences, vol. 221, pp. 49-59, 2013.
    182. B. Zhang*, F. Karray, Q. Li, and L. Zhang, “Sparse Representation Classifier for Microaneurysm Detection and Retinal Blood Vessel Extraction,” Information Sciences, vol. 200, pp. 78-90, 2012.
    183. B. Zhang*, J. You, and F. Karray, “Detecting Optic Disc on Asians by Multi-scale Gaussian Filtering,” International Journal of Biomedical Imaging, vol. 2012, Article ID 727154, 10 pages, 2012.
    184. W. Li, B. Zhang, L. Zhang, and J. Yan, “Principal Line-Based Alignment Refinement for Palmprint Recognition,” IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 42, no. 6, pp. 1491-1499, 2012.
    185. B. Zhang, X.Q. Wu, J. You, Q. Li, and F. Karray, “Detection of Microaneurysms using Multi-scale Correlation Coefficients,” Pattern Recognition, vol. 43, no. 6, pp. 2237-2248, 2010.
    186. B. Zhang, L. Zhang, L. Zhang, and F. Karray, “Retinal Vessel Extraction by Matched Filter with First-Order Derivative of Gaussian,” Computers in Biology and Medicine, vol. 40, no. 4, pp. 438-445, 2010.
    187. M. Niemeijer, B. van Ginneken, M.J. Cree, A. Mizutani, G. Quellec, C.I. Sanchez, B. Zhang, R. Hornero, M. Lamard, C. Muramatsu, X. Wu, G. Cazuguel, J. You, A. Mayo, Q. Li, Y. Hatanaka, B. Cochener, C. Roux, F. Karray, M. Garcia, H. Fujita, and M.D. Abramoff, “Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs,” IEEE Transactions on Medical Imaging, vol. 29, no. 1, pp. 185-195, 2010.

Conference Publications

    1. Zhao, J. Wen, L. Fei, and B. Zhang*, “Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion,” Proceedings: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 9, pp. 11327- 11335, 2023.
    2. Zhao, L. Fei, J. Wen, B. Zhang*, and P. Zhao, “Incomplete Multi-View Clustering with Regularized Hierarchical Graph,” Proceedings: Proceedings of the 31st ACM International Conference on Multimedia, pp. 3060-3068, 2023.
    3. R. Ma, S. Li, B. Zhang*, and Z. Li, “Generative Adaptive Convolutions for Real-world Noisy Image Denoising,” Proceedings: Proceedings of the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 22-Mar. 1, 2022.
    4. Q. Zhang, J. Zhou, and B. Zhang*, “Multi-feature representation for fatty liver disease detection with breath sample analysis,” Proceedings: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 3908-3910, 2022.
    5. S. Li, R. Ma, J. Zhou, and B. Zhang*, “Row-sparsity Binary Feature Learning for Open-set Palmprint Recognition,” Proceedings: 2022 IEEE International Joint Conference on Biometrics (IJCB), pp. 1-8, 2022.
    6. Q. Zhang and B. Zhang*, “Low Rank Based Discriminative Least Squares Regression with Sparse Autoencoder Processing for Image Classification,” Proceedings: 2021 7th IEEE International Conference on Computer and Communications (ICCC), Chengdu, Sichuan, China, Dec. 10-13, 2021.
    7. J. Wen, Z. Wu, Z. Zhang, L. Fei, B. Zhang, and Y. Xu, “Structural Deep Incomplete Multi-view Clustering Network,” Proceedings: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 3538-3542, 2021.
    8. S. Gu, G. Wang, and B. Zhang*, “COMASNet: Precise face mask detector network,” Proceedings: Proceedings in 2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), pp. 129-133, 2021.
    9. H. Zhang, W. Luo, W. Du, J. Qian, J. Yang, and B. Zhang, “Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization,” Proceedings: International Conference on Image and Graphics, pp. 106-119, 2021.
    10. Y. Zhang and B. Zhang*, “Hierarchical Automatic COVID-19 Detection via CT Scan Images,” Proceedings: 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI), pp. 219-224, 2021.
    11. L. Fei, J. Qin, P. Liu, J. Wen, C. Tian, B. Zhang*, and S. Zhao, “Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition”, Proceedings: 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, Jan. 10-15, 2021.
    12. J. Wen, Z. Zhang, Z. Zhang, L. Zhu, L. Fei, B. Zhang, and Y. Xu, “Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring,” Proceedings: Proceedings of the AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2-9, 2021.
    13. S. Zeng and B. Zhang*, “Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs,” Proceedings: IEEE International Conference on Multimedia and Expo (ICME) 2021, Shenzhen, China, Jul. 5-9, 2021.
    14. S. Li, and B. Zhang*, “An Adaptive Discriminant And Sparsity Feature Descriptor For Finger Vein Recognition,” Proceedings: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, Jun. 6-11, 2021.
    15. J. Cai, Q. Zhang, B. Zhang*, B. Cao, M. Liu, C. Zhi, D. Che, and K. Zhu, “Discriminative Multi-feature Representation for Renal Cancer Detection based on Histopathology Images,” Proceedings: 2021 7th International Conference on Computer and Communications (ICCC), pp. 1848-1852, 2021.
    16. J. Zhou, Q. Zhang, and B. Zhang*, “A Progressive Stack Face-based Network for Detecting Diabetes Mellitus and Breast Cancer,” Proceedings: 2020 IEEE International Joint Conference on Biometrics (IJCB), Sept. 28-Oct. 1, Houston, USA, 2020.
    17. H. Zhang, W. Du, X. Liu, B. Zhang, and F. Qian, “Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications,” Proceedings: Cognitive Systems and Signal Processing: 5th International Conference, ICCSIP 2020, Dec. 25-27, Zhuhai, China, 2020.
    18. J. Zhang, G. Chen, Y. Dong, J. Shi, B. Zhang, and E. Wu, “Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination,” Proceedings: Computer Graphics International Conference 2020, Oct. 20-23, Geneva, Switzerland, 2020.
    19. J. Wen, Z. Zhang, Z. Zhang, Z. Wu, L. Fei, Y. Xu, and B. Zhang*, “DIMC-net: Deep Incomplete Multi-view Clustering Network,” Proceedings: 28th ACM International Conference on Multimedia, Seattle, USA, Oct. 12-16, 2020.
    20. Q. Zhang, J. Zhou, and B. Zhang*, “A Noninvasive Method to Detect Diabetes Mellitus and Lung Cancer Using the Stacked Sparse Autoencoder,” Proceedings: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020.
    21. S. Zhao, B. Zhang*, and S. Li, “Discriminant and Sparsity Based Least Squares Regression with l1 Regularization for Feature Representation,” Proceedings: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020.
    22. J. Wen, Z. Zhang, Y. Xu, B. Zhang, L. Fei, and G.S. Xie, “CDIMC-net: Cognitive Deep Incomplete Multiview Clustering Network,” Proceedings: Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, Japan, Jul. 11-17, 2020.
    23. J. Zhou, S. Zeng, and B. Zhang*, “Two-stage Image Classification Supervised by a Single Teacher Single Student Model,” Proceedings: 2019 30th British Machine Vision Conference (BMVC 2019), Cardiff, United Kingdom, Sept. 9-12, 2019.
    24. Q. Zhang, S. Zeng, and B. Zhang*, “Initial investigation of different classifiers for plant leaf classification using multiple features,” Proceedings: 2019 Eleventh International Conference on Digital Image Processing (ICDIP 2019), Guangzhou, Guangdong, China, May 19-22, 2019.
    25. J. Zhou, S. Zeng, and B. Zhang*, “A novel fusion strategy for probabilistic sparse representation classifier guided by support vector machines,” Proceedings: 2019 Eleventh International Conference on Digital Image Processing (ICDIP 2019), Guangzhou, Guangdong, China, May 19-22, 2019.
    26. Y. Lu, G. Lu, B. Zhang, Y. Xu, and J. Li, “Super Sparse Convolutional Neural Networks,” Proceedings: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, Jan. 27 – Feb. 1, 2019.
    27. J. Wen, Z. Zhang, Y. Xu, B. Zhang, L. Fei, and H. Liu, “Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering,” Proceedings: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, Jan. 27 – Feb. 1, 2019.
    28. L.K. Fei, B. Zhang*, S. Teng, A. Zeng, C. Tian, and W. Zhang, “Learning Discriminative Finger-Knuckle-Print Descriptor,” Proceedings: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, May 12-17, 2019.
    29. J. Zhou, Q. Zhang, and B. Zhang*, “Applying L-SRC for Non-invasive Disease Detection Using Facial Chromaticity and Texture Features,” Proceedings: 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology (ICBCB), Hangzhou, China, Mar. 21-23, 2019.
    30. W. Nie, B. Zhang*, and S. Zhao, “A Novel Hyperspectral Based Dorsal Hand Recognition System,” Proceedings: 2019 11th International Conference on Machine Learning and Computing (ICMLC 2019), Zhuhai, Guangdong, China, Feb. 22-24, 2019.
    31. S. Zhao, W. Nie, and B. Zhang*, “Multi-Feature Fusion using Collaborative Residual for Hyperspectral Palmprint Recognition,” Proceedings: 2018 4th IEEE International Conference on Computer and Communications (ICCC), Chengdu, Sichuan, China, Dec. 7-10, 2018.
    32. S. Zeng, B. Zhang*, Y. Zhang, and J. Gou, “Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification,” Proceedings: 10th Asian Conference on Machine Learning (ACML 2018), Beijing, China, Nov. 14-16, 2018.
    33. J. Li, B. Zhang, G. Lu, and D. Zhang, “Shared Linear Encoder-based Gaussian Process Latent Variable Model for Visual Classification,” Proceedings: 26th ACM International Conference on Multimedia, Seoul, Republic of Korea, Oct. 22-26, 2018.
    34. J. Fu, L. Zhang, B. Zhang, and W. Jia, “Guided Learning: A New Paradigm for Multi-task Classification,” Proceedings: 13th Chinese Conference on Biometric Recognition, Urumqi, Xinjiang, China, Aug. 11-12, 2018.
    35. T. Shu, B. Zhang*, and Y.Y. Tang, “Computer-assisted Non-invasive Diabetes Mellitus Detection System via Facial Key Block Analysis,” Proceedings: 15th International Conference of Wavelet Analysis and Pattern Recognition, Chengdu, China, July 15-18, 2018. Lotfi Zadeh Best Paper Award
    36. L. Zhang, and B. Zhang*, “Non-Invasive Multi-Disease Classification Via Facial Image Analysis Using A Convolutional Neural Network,” Proceedings: 15th International Conference of Wavelet Analysis and Pattern Recognition, Chengdu, China, Jul. 15-18, 2018.
    37. J. Li, H. Yong, B. Zhang, M. Li, L. Zhang, and D. Zhang, “A Probabilistic Hierarchical Model for Multi-view and Multi-feature Classification,” Proceedings: Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, Feb. 2-7, 2018.
    38. Y. Lu, G. Lu, Y. Xu, and B. Zhang, “AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks,” Proceedings: 27th International Joint Conference on Artificial Intelligence, Stockholm, Sweden, Jul. 13-19, 2018.
    39. F. Chen, D. Zhang, J. Wu, and B. Zhang, “Computerized analysis of tongue sub-lingual veins to detect lung and breast cancers,” Proceedings: 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu, Sichuan, China, Dec. 13-16, 2017.
    40. W. Yan, B. Zhang*, and S. Ma, “Robust semi-supervised concept factorization,” Proceedings: 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, USA, May 14-19, 2017.
    41. Q. Zhao, D. Zhang, and B. Zhang, “Digital tongue image analysis in medical applications using a new tongue ColorChecker,” Proceedings: 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, Sichuan, China, Oct. 14-17, 2016.
    42. J. Lu, H. Ye, W. Jia, Y. Zhao, H. Min, W. Kang, and B. Zhang, “A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition,” Proceedings: 11th Chinese Conference on Biometric Recognition, Chengdu, Sichuan, China, Oct. 14-16, 2016.
    43. P. Zhang, and B. Zhang*, “A Study of Diabetes Mellitus Detection Using Sparse Representation Algorithms with Facial Block Color Features,” Proceedings: 2016 IEEE International Conference on Signal and Image Processing, Beijing, China, August 13-15, 2016.
    44. T. Shu, B. Zhang*, and Y.Y. Tang, “Using k-NN with Weights to Detect Diabetes Mellitus Based on Genetic Algorithm Feature Selection,” Proceedings: 13th International Conference of Wavelet Analysis and Pattern Recognition, Jeju Island, South Korea, July 10-13, 2016.
    45. T. Shu, and B. Zhang*, “Facial Color Analysis of Overweight-Obesity and its Relationship to Healthy and Diabetes Mellitus Using Statistical Pattern Recognition,” Proceedings: IEEE TENCON 2015, Macau, Nov. 1-4, 2015.
    46. T. Shu, B. Zhang*, and Y.Y. Tang, “Simplified and Improved Patch Ordering for Diabetes Mellitus Detection,” Proceedings: 2nd IEEE International Conference on Cybernetics, Gdynia, Poland, Jun. 24-26, 2015.
    47. S. Ting, and B. Zhang*, “Diabetes Mellitus Detection Based on Facial Block Texture Features Using the Gabor Filter,” Proceedings: 17th IEEE International Conference on Computational Science and Engineering, Chengdu, China, Dec. 19-21, 2014.
    48. H. Zhang, and B. Zhang*, “Disease Detection Using Tongue Geometry Features with Sparse Representation Classifier,” Proceedings: 2014 International Conference on Medical Biometrics, pp. 102-107, Shenzhen, China, May 31-Jun. 1, 2014.
    49. B. Zhang, L. Zhang, J. You, and F. Karray, “Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and Non-MA Dictionary Learning,” Proceedings: International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 23-26, 2010.
    50. B. Zhang, Q. Li, L. Zhang, J. You, and F. Karray, “Retinal Vessel Centerline Extraction Using Multiscale Matched Filter and Sparse Representation-based Classifier,” Proceedings: International Conference on Medical Biometrics, pp. 181-190, Hong Kong, China, Jun. 28-30, 2010.
    51. B. Zhang, and F. Karray, “Optic Disc Detection by Multi-scale Gaussian Filtering with Scale Production and a Vessels’ Directional Matched Filter,” Proceedings: International Conference on Medical Biometrics, pp. 173-180, Hong Kong, China, Jun. 28-30, 2010.
    52. B. Zhang, and F. Karray, “Optic Disc and Fovea Detection via Multi-scale Matched Filters and a Vessels’ Directional Matched Filter,” Proceedings: International Conference on Autonomous and Intelligent Systems, pp. 1-5, Povoa de Varzim, Portugal, Jun. 21-23, 2010.
    53. Q. Li, J. Wang, J. You, B. Zhang, and F. Karray, “Refractive Error Detection via Group Sparse Representation,” Proceedings: International Conference on Autonomous and Intelligent Systems, pp. 1-5, Povoa de Varzim, Portugal, Jun. 21-23, 2010.
    54. B. Zhang, J. You, F. Karray, C. Kee, and Q. Li, “Astigmatism and Eye Shape,” Proceedings: International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp. 72-77, Las Vegas, Nevada, USA, Jul. 13-19, 2009.
    55. B. Zhang, X.Q. Wu, J. You, Q. Li, and F. Karray, “Hierarchical Detection of Red Lesions in Retinal Images by Multiscale Correlation Filtering,” Proceedings: SPIE Medical Imaging 2009: Computer-Aided Diagnosis, vol. 7260, 72601L, Orlando, Florida, USA, Feb. 7-12, 2009.
    56. Q. Li, Y.B. Zhang, X. Jin, J. You, and P. Bhattacharya, “Screening Prolifetive Diabetic Retinopathy Through Color Retinal Images,” Proceedings: International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp. 574-578, Las Vegas, Nevada, USA, Jun. 25-28, 2007.
    57. Y.B. Zhang, Q. Li, J. You, and P. Bhattacharya, “Palm Vein Extraction and Matching for Personal Authentication,” Proceedings: International Conference on Visual Information Systems, pp. 154-164, Shanghai, China, Jun. 28-29, 2007.

Book Chapters

    1. S. Zhao, W. Nie, and B. Zhang*, “Deep Learning-Based Hyperspectral Multimodal Biometric Authentication System Using Palmprint and Dorsal Hand Vein,” in AI and Deep Learning in Biometric Security, G. Jaswal, V. Kanhangad, and R. Ramachandra, Eds., USA: CRC Press-Taylor and Francis, 2021.
    2. Y. Wei, and B. Zhang*, “Robust Constrained Concept Factorization,” in Computational Intelligence for Pattern Recognition, W. Pedrycz, and S.Y. Chen, Eds., Springer International Publishing, 2018, pp. 207-225.
    3. B. Zhang*, “Tongue Pattern Recognition to Detect Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy,” in Pattern Recognition and Big Data, A. Pal, and S.K. Pal, Eds., Singapore: World Scientific Publishing, 2017, pp. 663-686.