*indicates the Corresponding Author

Access full publications in Google Scholar and DBLP. Some representative publications are shown below: 

[Representative Publications]  (Sorted by research topics) 

[Deep Learning for Low-Level Vision] 

   [Low-Light Image Enhancement] 

• Zhao Zhang*, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan and Meng Wang, "Deep Color Consistent Network for Low-Light Image Enhancement," In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, pp.1889-1898, June 2022.     PDF     Techrxiv      Code

• Zhao Zhang, Huan Zheng, Richang Hong*, Jicong Fan*, Yi Yang and Shuicheng Yan, "FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement," IEEE Transactions on Consumer Electronics (IEEE TCE), May 2023.      PDF

• Huan Zheng, Zhao Zhang*, Jicong Fan*, Richang Hong, Yi Yang, and Shuicheng Yan, “Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.     PDF

• Baiang Li, Huan Zheng, Zhao Zhang*, Yang Zhao*, Zhongqiu Zhao* and Haijun Zhang, “Dynamic Grouped Interaction Network for Low-Light Stereo Image Enhancement,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.     PDF

• Zhicheng Ji#, Huan Zheng#, Zhao Zhang*, Qiaolin Ye, Yang Zhao and Mingliang Xu, “Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement,” IEEE Transactions on Consumer Electronics (IEEE TCE), May 2023.    PDF

   [Single Image Deraining] 

• Zhao Zhang*, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan and Meng Wang, "Data-Driven Single Image Deraining: A Comprehensive Review and New Perspectives," Pattern Recognition (PR), vol.143, no.6, pp.1-23, June 2023.     PDF

• Yanyan Wei, Zhao Zhang*, Yang Wang*, Mingliang Xu, Yi Yang, Shuicheng Yan and Meng Wang, "DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking," IEEE Transactions on Image Processing (IEEE TIP), vol.30, pp.4788-4801, April 2021.    PDF    CODE

• Yanyan Wei, Zhao Zhang*, Huan Zheng, Richang Hong, Yi Yang and Meng Wang, "SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022.    PDF     Code

• Yanyan Wei, Zhao Zhang*, Mingliang Xu, Richang Hong, Jicong Fan* and Shuicheng Yan, "Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022.     PDF

• Yanyan Wei, Zhao Zhang*, Yang Wang, Haijun Zhang, Mingbo Zhao, Mingliang Xu* and Meng Wang, "Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network," In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, July 2021.     PDF

• Yanyan Wei, Zhao Zhang*, Haijun Zhang, Richang Hong and Meng Wang, "A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining," In: Proceedings of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, pp.628-637, Oct 2019.    (Regular paper, Acceptance rate: 9.08%)    PDF

   [Blind Image Deblurring] 

• Suiyi Zhao, Zhao Zhang*, Richang Hong, Mingliang Xu, Yi Yang and Meng Wang, "FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022.    PDF

• Suiyi Zhao, Zhao Zhang*, Richang Hong, Mingliang Xu, Haijun Zhang, Meng Wang and Shuicheng Yan, "CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022.    PDF,  Code

   [Single Image/Video Super-Resolution] 

• Yawei Li, Zhao Zhang*, Suiyi Zhao, Jicong Fan, Haijun Zhang and Mingliang Xu, “Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution,” In: Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, Sep 2023.     (Regular paper, Acceptance rate: 9.37%)

• Kang Miao, Zhao Zhang*, Jiahuan Ren, Mingbo Zhao, Haijun Zhang and Richang Hong, “Adaptive Student Inference Network for Efficient Single Image Super-Resolution,” In: Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, Sep 2023.      (Regular paper, Acceptance rate: 9.37%)

   [Single Image Denoising] 

• Jiahuan Ren, Zhao Zhang*, Richang Hong, Mingliang Xu, Haijun Zhang, Mingbo Zhao* and Meng Wang, "Robust Low-Rank Convolution Network for Image Denoising," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022.    PDF

   [Image Inpainting] 

• Huan Zheng, Zhao Zhang*, Haijun Zhang, Yi Yang, Shuicheng Yan and Meng Wang, "Deep Multi-Resolution Mutual Learning for Image Inpainting," In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, June 2022.    PDF

• Huan Zheng, Zhao Zhang*, Yang Wang, Zheng Zhang, Mingliang Xu, Yi Yang and Meng Wang, "GCM-Net: Towards Effective Global Context Modeling for Image Inpainting," In: Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, pp.2586-2594, Oct 2021.    PDF,  Code

   [Single Image Dehazing] 

• Junhu Wang#, Yanyan Wei#, Zhao Zhang*, Jicong Fan, Yang Zhao*, Yi Yang and Meng Wang, “Progressive Stereo Image Dehazing Network via Cross-view Region Interaction,” IEEE Transactions on Multimedia (IEEE TMM), vol.26, pp.7490-7502, April 2024.     PDF

• Hao Shen, Zhongqiu Zhao*, Yulun Zhang and Zhao Zhang*, “Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.     PDF

• Junhu Wang, Suiyi Zhao, Zhao Zhang*, Yang Zhao and Haijun Zhang, "Physical-property Guided End-to-End Interactive Image Dehazing Network," In: Proceedings of the International Conference on Neural Computing for Advanced Applications (NCAA), July 2023.    (Best Paper Award)

   [Binocular Video Enhancement]

• Panda Pan, Yang Zhao*, Yuan Chen, Wei Jia, Zhao Zhang* and Ronggang Wang, “Cross-view Resolution and Frame Rate Joint Enhancement for Binocular Video,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.     PDF

[Deep Learning for High-Level Vision] 

   [Deep Model Compression / Quantization] 

• Yangcheng Gao, Zhao Zhang*, Richang Hong, Haijun Zhang, Jicong Fan* and Shuicheng Yan, "Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization," In: Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, pp.1-10, Aug 2022.    PDF   (Regular paper, Acceptance rate: 9.77%，Invited for journal publication as "Best-ranked" paper)

• Yangcheng Gao, Zhao Zhang*, Haijun Zhang, Mingbo Zhao, Yi Yang and Meng Wang, "Dictionary Pair-based Data-Free Fast Deep Neural Network Compression," In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, pp.1-10, Aug 2021.    PDF   (Regular paper, Acceptance rate: 9.9%, Invited for journal publication as "Best-ranked" paper)

• Yangcheng Gao, Zhao Zhang*, Haijun Zhang, Mingbo Zhao, Yi Yang and Meng Wang, "Fast Data-Free Model Compression via Dictionary-Pair Reconstruction," Knowledge and Information Systems (KAIS), vol.65, no.8, pp.3435-3461, 2023.    PDF

• Yan Luo#, Yangcheng Gao#, Zhao Zhang*, Jicong Fan*, Haijun Zhang and Mingliang Xu, “Long-Range Zero-Shot Generative Deep Network Quantization,” Neural Networks (NN), vol.166, pp.683-691, Sep 2023.    PDF

   [Fashion AI:  Clothes Generation / Design / Virtual Try-On / Detection] 

• Yu Liu, Mingbo Zhao*, Zhao Zhang*, Jicong Fan, Yang Lou and Shuicheng Yan, "Arbitrary Virtual Try-On Network: Characteristics Representation and Trade-off between Body and Clothing," In: Proceedings of the International Conference on Learning Representations (ICLR), Jan 2023.     PDF

• Han Yan, Haijun Zhang* and Zhao Zhang, “Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework,” IEEE Transactions on Multimedia (IEEE TMM), vol.26, pp.5615-5629, 2024.     PDF

• Yu Liu, Mingbo Zhao*, Zhao Zhang*, Yuping Liu, and Shuicheng Yan, “Arbitrary Virtual Try-On Network: Characteristics Preservation & Trade-off between Body & Clothing,” ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM), vol.20, no.5, pp.1-23, Jan 2024.     PDF

• Linlin Liu, Haijun Zhang, Qun Li, Jianghong Ma and Zhao Zhang, "Collocated Clothing Synthesis with GANs Aided by Textual Information: A Multi-modal Framework, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), vol.20, no.1, pp.26:1-26:25, 2024.    PDF

• Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jicong Fan and Zhao Zhang, “FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.  

• Han Yan, Haijun Zhang, Xiangyu Mu, Jicong Fan and Zhao Zhang, “FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.  

• Han Yan, Haijun Zhang, Jie Hou, Jicong Fan and Zhao Zhang, “InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.  

• Jianyang Shi, Haijun Zhang, Dongliang Zhou, and Zhao Zhang, “Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.  

• Han Yan, Haijun Zhang*, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang and Shuicheng Yan, "Toward Intelligent Design: An AI-based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators," IEEE Transactions on Multimedia (IEEE TMM), vol.25, no.6., pp.2323-2338, Jan 2022.    PDF 

• Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang and Shuicheng Yan, "Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Aug 2022.     PDF 

• Haijun Zhang, Xinghao Wang, Linlin Liu, Dongliang Zhou and Zhao Zhang, "WarpClothingOut: A Stepwise Framework for Clothes Translation from the Human Body to Tiled Images," IEEE Multimedia Magazine (IEEE MM), vol.27, no.4, pp.58-68, Dec 2020.    PDF 

• Mingbo Zhao, Shanchuan Gao, Jianghong Ma and Zhao Zhang, "Joint Clothes Image Detection and Search via Anchor Free Framework," Neural Networks (NN), vol.155, pp.84-94, Nov 2022.     PDF

• Xianrui Li, Zhiling Ye, Zhao Zhang* and Mingbo Zhao*, "Clothes Image Caption Generation with Attribute Detection and Visual Attention Model," Pattern Recognition Letters (PRL), vol.141, pp.68-74, Jan 2021.    PDF 

• Fankai Zeng, Mingbo Zhao*, Zhao Zhang*, Shanchuan Gao and Lu Cheng, "Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer," In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management (ACM CIKM), July 2022. 

• Mingbo Zhao, Yu Liu, Xianrui Li, Zhao Zhang* and Yue Zhang, "An End-to-End Framework for Clothing Collocation based on Semantic Feature Fusion," IEEE Multimedia Magazine (IEEE MM), vol.27, no.4, pp.122-132, Dec 2020.    PDF  

• Linlin Liu, Haijun Zhang, Xiaofei Xu, Zhao Zhang and Shuicheng Yan, "Collocating Clothes with Generative Adversarial Networks Co-supervised by Categories and Attributes: A Multi-Discriminator Framework," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.31, no.9, pp.3540-3554, Sep 2020.    PDF

   [Other Topics: Image Captioning / Object Detection / Image Classification] 

• Zhihao Wu, Zhao Zhang and Jicong Fan*, "Graph Convolutional Kernel Machine versus Graph Convolutional Networks," In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Sep 2023.    PDF

• Bo Wang, Zhao Zhang*, Suiyi Zhao, Haijun Zhang*, Richang Hong and Meng Wang, “CropCap: Embedding Visual Cross-Partition Dependency for Image Captioning,” In: Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Ontario, Canada, July 2023.     PDF

• Bo Wang, Zhao Zhang*, Mingbo Zhao, Xiaojie Jin, Mingliang Xu and Meng Wang, “OSIC: A New One-Stage Image Captioner Coined,” In: Proceedings of the 33rd International Joint Conferences on Artificial Intelligence (IJCAI), Jeju, Korea, April 2024.     PDF

• Bo Wang, Zhao Zhang*, Jicong Fan, Mingbo Zhao* and Mingliang Xu, "FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning," In: Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, pp.1-10, Aug 2022.    PDF   (Regular paper, Acceptance rate: 9.77%)

• Xing Bao#, Huan Zheng#, Zhao Zhang*, Zhengjun Zha and Meng Wang, “Hierarchical Context Modeling Network for Landmark Recognition,” In: Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, Sep 2023.     (Regular paper, Acceptance rate: 9.37%)

• Jiahuan Ren, Zhao Zhang*, Jicong Fan*, Haijun Zhang, Mingliang Xu and Meng Wang, "Robust and Fast Low-Rank Deep Convolutional Feature Recovery: Toward Information Retention and Accelerated Convergence," Knowledge and Information Systems (KAIS), vol.65, no.3, pp.1287-1315, 2023.    PDF

• Yang Zhao, Huaen Li, Zhao Zhang, Yuan Chen*, Qing Liu, and Xiaojuan Zhan, "Regional Traditional Painting Generation Based on Controllable Disentanglement Model, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), July 2023.  

• Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan and Qiaolin Ye, "Motion Stimulation for Compositional Action Recognition," IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol.33, no.5, pp.2061-2074, May 2023.    PDF

• Guanghua Zheng, Zhongqiu Zhao*, Zhao Zhang and Yi Yang, "Hierarchical Graph Neural Network for Human Pose Estimation," In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, Aug 2023.   

• Xinjian Gao, Zhao Zhang*, Tingting Mu, Xudong Zhang, Chaoran Cui and Meng Wang, "Self-attention Driven Adversarial Similarity Learning Network," Pattern Recognition (PR), vol.105, pp.107331, Sep 2020.    PDF

• Jiahuan Ren, Zhao Zhang*, Jicong Fan, Haijun Zhang, Mingliang Xu and Meng Wang, "Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence," In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, pp.1-10, Aug 2021.    (Regular paper, Acceptance rate: 9.9%, Invited for KAIS journal publication as "Best-ranked" paper)

• Zhao Zhang*, Weiming Jiang*, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu and Meng Wang, "Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding," In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, pp.1-10, Aug 2021.   (Regular paper, Acceptance rate: 9.9%)

• Zhao Zhang, Zemin Tang, Yang Wang*, Zheng Zhang, Choujun Zhan*, Zhengjun Zha and Meng Wang, "Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition," Neural Networks (NN), vol.139, pp.77-85, July 2021.     PDF

• Zhao Zhang*, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin and Meng Wang, "Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition," In: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, pp.1706-1713, June 2020.    PDF

• Yuzhu Jia, Haijun Zhang*, Zhao Zhang and Ming Liu, "CNN-based Encoder-Decoder Networks for Salient Object Detection: A Comprehensive Review and Recent Advances," Information Sciences (INS), vol.546, pp.835-857, Feb 2021.    PDF 

• Rui Gao, Xingsong Hou*, Jie Qin*, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang and Ling Shao, "Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning," IEEE Transactions on Image Processing (IEEE TIP), vol.29, no.1, pp.3665-3680, Dec 2020.    PDF

• Rui Gao, Xingsong Hou, Jie Qin*, Yuming Shen, Yang Long, Li Liu, Zhao Zhang and Ling Shao, "Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning," IEEE Transactions on Multimedia (IEEE TMM), vol.25, no.6, pp.1649-1664, 2023.    PDF

 [Low-Rank Matrix Recovery] 

• Zhao Zhang*, Fanzhang Li, Mingbo Zhao, Li Zhang and Shuicheng Yan, "Joint Low-rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification," IEEE Transactions on Image Processing (IEEE TIP), vol.25, no.6, pp.2429-2443, June 2016.    PDF

• Jicong Fan, Rui Chen, Zhao Zhang*, and Chris Ding, "Neuron-Enhanced AutoEncoder Matrix Completion: Theory and Practice," In: Proceedings of the International Conference on Learning Representations (ICLR), Jan 2024.     PDF

• Zhao Zhang*, Jiahuan Ren, Haijun Zhang*, Zheng Zhang, Guangcan Liu and Shuicheng Yan, "DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery," ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), vol.17, 5:1-24, March 2021.    PDF

• Zhao Zhang*, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha and Meng Wang, "Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation," In: Proceedings of the 27th ACM International Conference on Multimedia (ACM MM), Nice, France, pp.1569-1577, Oct 2019.     PDF   

• Zhao Zhang*, Jiahuan Ren, Zheng Zhang* and Guangcan Liu, "Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery," In: Proceedings of the 29th International Joint Conferences on Artificial Intelligence (IJCAI), Yokohama, Japan, April 2020.    PDF  (Acceptance rate: 12.6%) 

• Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang and Madeleine Udell, "Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis," Transactions on Machine Learning Research (TMLR), Nov 2022.    PDF

• Jiahuan Ren, Zhao Zhang*, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan and Meng Wang, "Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space," IEEE Transactions on Image Processing (IEEE TIP), vol.29, no.1, pp.3941-3956, Dec 2020.    PDF

• Zhao Zhang*, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, and Meng Wang, "Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation," In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, pp.1-10, Aug 2021.   (Regular paper, Acceptance rate: 9.9%)

• Xianzhen Li, Zhao Zhang*, Yang Wang, Guangcan Liu, Shuicheng Yan and Meng Wang, "Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery," In: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, pp.1285-1292, June 2020.    PDF

• Guangcan Liu, Zhao Zhang, Qingshan Liu and Hongkai Xiong, "Robust Subspace Clustering with Compressed Data," IEEE Transactions on Image Processing (IEEE TIP), vol.28, no.10, pp.5161-5170, Oct 2019.   PDF

• Lei Wang, Bangjun Wang, Zhao Zhang*, Qiaolin Ye, Liyong Fu*, Guangcan Liu and Meng Wang, "Robust Auto-weighted Projective Low-Rank and Sparse Recovery for Visual Representation," Neural Networks (NN), vol.117, pp.201-215, Sep 2019.    PDF

• Zhao Zhang*, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha and Meng Wang, "Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery," In: Proceedings of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, pp.846-855, Oct 2019.   (Regular paper, Acceptance rate: 9.08%)  PDF

• Zhao Zhang*, Mingbo Zhao, Fanzhang Li, Li Zhang and Shuicheng Yan, "Robust Alternating Low-Rank Representation by Joint Lp- and L2,p-norm Minimization," Neural Networks (NN), vol.96, pp.55-70, Dec 2017.    PDF

• Zhao Zhang*, Cheng-Lin Liu and Mingbo Zhao, "A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction," ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol.6, no.1, pp.9:1-9:26, April 2015.    PDF

• Zhao Zhang*, Shuicheng Yan and Mingbo Zhao, "Similarity Preserving Low-Rank Representation for Enhanced Data Representation and Effective Subspace Learning," Neural Networks (NN), vol.53, pp.81-94, May 2014.    PDF

[Sparse Dictionary Learning] 

• Zhao Zhang*, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang and Shuicheng Yan, "Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.29, no.8, pp.3798-3814, August 2018.    PDF    Code

• Zhao Zhang, Yulin Sun, Yang Wang*, Zheng Zhang, Haijun Zhang, Guangcan Liu and Meng Wang, "Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.32, no.3, pp.947-961, Mar 2021.    PDF

• Zhao Zhang*, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu and Jie Qin, "Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning," In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, pp.4376-4382, Aug 2019.    (Acceptance rate: 17.9%)   PDF    Code

• Zhao Zhang*, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan and Meng Wang, "Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning," IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol.30, no.8, pp.2430-2446, August 2020.    PDF

• Zhao Zhang, Yulin Sun, Zheng Zhang*, Yang Wang*, Lin Wu* and Meng Wang, "MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections," In: Proceedings of the 20th IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, August 2020.   (Regular paper, Acceptance rate: 9.8%) 

• Zhao Zhang*, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan and Meng Wang, "Convolutional Dictionary Pair Learning Network for Image Representation Learning," In: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, pp.1642-1649, June 2020.    PDF

• Yulin Sun, Zhao Zhang*, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan and Meng Wang, "Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.31, no.10, pp.4303-4317, Oct 2020.    PDF

• Zhao Zhang*, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu and Meng Wang, "Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification," In: Proceedings of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, pp.836-845, Oct 2019.    (Regular paper, Acceptance rate: 9.08%)    PDF 

• Zhao Zhang*, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li and Li Zhang, "Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation based Robust Classification," IEEE Transactions on Industrial Informatics (IEEE TII), vol.13, no.2, pp.642-654, April 2017.    PDF

• Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang and Ling Shao, "Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.31, no.3, pp.786-800, Mar 2020.     PDF

• Weiming Jiang, Zhao Zhang*, Fanzhang Li, Li Zhang, Mingbo Zhao and Xiaohang Jin, "Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semi-Supervised Machine Fault Classification," IEEE Transactions on Industrial Informatics (IEEE TII), vol.12, no.1, pp.248-256, Feb 2016.    PDF

• Zhao Zhang*, Fanzhang Li, Tommy W.S. Chow, Li Zhang and Shuicheng Yan, "Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation," IEEE Transactions on Signal Processing (IEEE TSP), vol.64, no.14, pp.3790-3805, July 2016.    PDF

 [Dimensionality Reduction & Subspace Learning] 

   [Concept Factorization]

• Yan Zhang, Zhao Zhang*, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan and Meng Wang, "Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior," International Journal of Computer Vision (IJCV), vol.129, no.12, pp.3233-3254, Nov 2021.    PDF

• Zhao Zhang*, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan and Meng Wang, "Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.32, no.5, pp.952-970, May 2020.    PDF

• Yan Zhang, Zhao Zhang*, Yang Wang*, Zheng Zhang*, Li Zhang, Shuicheng Yan and Meng Wang, "Partial-Label and Structure-constrained Deep Coupled Factorization Network", In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, Dec 2020.  

• Yan Zhang, Zhao Zhang*, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha and Meng Wang, "Deep Self-representative Concept Factorization Network for Representation Learning," In: Proceedings of the SIAM International Conference on Data Mining (SDM), pp.361-369, Dec 2019.    PDF

• Zhao Zhang*, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan and Meng Wang, "Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.33, no.4, pp.1523-1539, April 2021.    PDF

• Zhao Zhang*, Yan Zhang, Mingliang Xu*, Li Zhang, Yi Yang and Shuicheng Yan, "A Survey on Concept Factorization: From Shallow to Deep Representation Learning," Information Processing and Management (IPM), vol.58, no.3, pp. 102534, Feb 2021.    PDF

• Zhao Zhang*, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan, "Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering," In: Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, pp.2092-2096, May 2019.   PDF

   [Semi-/Un-supervised Manifold Learning]

• Zhao Zhang*, Fanzhang Li, Mingbo Zhao, Li Zhang and Shuicheng Yan, "Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction," IEEE Transactions on Image Processing (IEEE TIP), vol.26, no.4, pp.1607-1622, April 2017.    PDF 

• Yan Zhang, Zhao Zhang*, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang and Shuicheng Yan, "Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.31, no.12, pp.2423-2440, Dec 2019.   PDF

• Yan Zhang, Zhao Zhang*, Jie Qin, Li Zhang, Bing Li and Fanzhang Li, "Semi-Supervised Local Multi-Manifold Isomap by Linear Embedding for Feature Extraction," Pattern Recognition (PR), vol.76, pp.662-678, April 2018.    PDF

• Zhao Zhang*, Mingbo Zhao and Tommy W. S. Chow, "Graph based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.27, no.9, pp.2362-2376, Sep 2015.    PDF

• Zhao Zhang*, Shuicheng Yan and Mingbo Zhao, "Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification," IEEE Transactions on Image Processing (IEEE TIP), vol.22, iss.12, pp.4640-4651, Dec 2013.    PDF

• Zhao Zhang*, Tommy W. S. Chow and Mingbo Zhao, "Trace Ratio Optimization based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE),vol.25, iss.5, pp.1148-1161, May 2013.    PDF

• Zhao Zhang*, Mingbo Zhao and Tommy W. S. Chow, "Marginal Semi-Supervised Sub-Manifold Projections with Informative Constraints for Dimensionality Reduction and Recognition," Neural Networks (NN), vol. 36, pp. 97-111, Dec 2012.     PDF  (Errors corrected) 

   [Supervised Discriminant Analysis]

• Qiaolin Ye*, Zechao Li, Liyong Fu, Zhao Zhang, Wankou Yang and Guowei Yang, "Non-Peaked Discriminant Analysis for Data Representation," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.30, no.12, pp.3818-3832, Dec 2019.    PDF

• Qiaolin Ye, Liyong Fu*, Zhao Zhang, Henghao Zhao and Meem Naiem, "Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis", Neural Networks (NN), vol.105, pp.393-404, Sep 2018.    PDF

• Mingbo Zhao, Zhao Zhang*, Tommy W. S. Chow and Bing Li, "A General Soft Label based Linear Discriminant Analysis for Semi-supervised Dimension Reduction," Neural Networks (NN), vol.55, pp.83-97, July 2014.     PDF

• Mingbo Zhao, Zhao Zhang, Tommy W. S. Chow and Bing Li*, "Soft Label based Linear Discriminant Analysis for Image Recognition and Retrieval," Computer Vision and Image Understanding (CVIU), vol.121, pp.86-99, April 2014.     PDF

• Zhao Zhang*, Mingbo Zhao and Tommy W. S. Chow, "Binary- and Multi-Class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.25, iss.10, pp.2192-2205, Oct 2013.    PDF

• Zhao Zhang*, Tommy W. S. Chow and Mingbo Zhao, "M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction,"  IEEE Transactions on Cybernetics (IEEE TCYB), vol.43, iss.1, pp.180-192, Feb 2013.    PDF

• Zhao Zhang*, Mingbo Zhao and Tommy W. S. Chow, "Constrained Large Margin Local Projection Algorithms and Extensions for Multimodal Dimensionality Reduction," Pattern Recognition (PR), vol.46, iss.12, pp.4466-4493, July 2012.     PDF

• Mingbo Zhao, Zhao Zhang and Tommy W. S. Chow*, "Trace Ratio Criterion based Generalized Discriminative Learning for Semi-Supervised Dimensionality Reduction," Pattern Recognition (PR), vol.45, iss.4, pp.1482-1499, April 2012.    PDF

[Semi-Supervised Classification -- Label Propagation]

• Zhao Zhang*, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang and Shuicheng Yan, "Robust Adaptive Embedded Label Propagation with Weight Learning for Inductive Classification," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.29, no.8, pp.3388-3403, August 2018.    PDF

• Zhao Zhang*, Yan Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang and Shuicheng Yan, "Discriminative Sparse Flexible Manifold Embedding with Novel Graph for Robust Visual Representation and Label Propagation," Pattern Recognition (PR), vol.61, pp.492–510, Jan 2017.    PDF

• Zhao Zhang*, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang and Shuicheng Yan, "Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification," IEEE Transactions on Big Data (IEEE TBD), vol.5, no.2, pp.148-165, June 2019.    PDF

• Huan Zhang, Zhao Zhang*, Mingbo Zhao, Qiaolin Ye, Min Zhang and Meng Wang, "Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.31, no.11, pp.4538-4552, Nov 2020.     PDF

• Lei Jia, Zhao Zhang*, Lei Wang, Weiming Jiang, and Mingbo Zhao. Adaptive Neighborhood Propagation by Joint L2,1-norm Regularized Sparse Coding for Representation and Classification. In: Proceedings of the 16th IEEE International Conference on Data Mining (ICDM), Barcelona, Spain, pp.201-210, Sep 2016.   (Regular paper, Acceptance rate: 8.5%)   PDF

• Zhao Zhang*, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang and Meng Wang, "Adaptive Non-Negative Projective Semi-Supervised Learning for Inductive Classification," Neural Networks (NN), vol.108, pp.128-145, Dec 2018.    PDF

• Zhao Zhang*, Lei Jia, Min Zhang, Li Zhang, Bing Li and Fanzhang Li, "Discriminative Clustering on Manifold for Adaptive Transductive Classification," Neural Networks (NN), vol.94, pp.260-273, Oct 2017.    PDF

• Qiaolin Ye*, Jian Yang, Tongming Yin and Zhao Zhang, "Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?" IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.27, no.7, pp.1591-1598, July 2016.    PDF

• Zhao Zhang*, Li Zhang, Mingbo Zhao, Weiming Jiang, Yuchen Liang and Fanzhang Li. Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. In: Proceedings of the ACM International Conference on Multimedia Retrieval (ACM ICMR), Shanghai, China, pp.139-146, June 2015.    PDF

[Other Interesting Topics]  

   [Multi-view Learning]

• Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, and Jinxing Li, "A Survey on Incomplete Multi-view Clustering", IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE SMC: Systems), vol.52, no.2, pp.1136-1149, Feb 2023.    PDF

• Jie Wen, Zheng Zhang*, Zhao Zhang*, Lei Zhu, Lunke Fei, Bob Zhang and Yong Xu, "Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring", In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, Dec 2020.  

• Huibing Wang, Yang Wang*, Zhao Zhang*, Xianping Fu, Mingliang Xu and Meng Wang, "Kernelized Multiview Subspace Analysis by Self-weighted Learning," IEEE Transactions on Multimedia (IEEE TMM), vol.23, pp.3828-3840, Oct 2021.    PDF

• Qiaolin Ye, Peng Huang, Zhao Zhang, Yuhui Zheng, Liyong Fu*, and Wankou Yang, "Multi-view Learning with Robust Double-sided Twin SVM," IEEE Transactions on Cybernetics (IEEE TCYB), vol.52, no.12, pp.12745-12758, Dec 2022.    PDF

• Jie Wen, Zheng Zhang*, Zhao Zhang, Lunke Fei and Meng Wang, "Generalized Incomplete Multi-view Clustering With Flexible Locality Structure Diffusion," IEEE Transactions on Cybernetics (IEEE TCYB), vol.51, no.1, pp.101-114, Jan 2021.     PDF

• Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu and Bob Zhang*, "DIMC-net: Deep Incomplete Multi-view Clustering Network,"  In: Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), July 2020.  

• Hongwei Yin, Wenjun Hu, Zhao Zhang, Jungang Lou and Minmin Miao, "Incremental multi-view spectral clustering with sparse and connected graph learning", Neural Networks (NN), vol.144, pp.260-270, 2021.  

   [Other Topics: Regression / Clustering / Re-ID / COVID-19 Diagnosis]

• Jicong Fan, Yiheng Tu, Zhao Zhang*, Mingbo Zhao and Haijun Zhang, "A Simple Approach to Automated Spectral Clustering," In: Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), Orleans, Louisiana, USA, Sep 2022.    PDF

• Jinyu Cai, Jicong Fan*, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang, "Efficient Deep Embedded Subspace Clustering," In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 2022.     PDF

• Ximing Li, Yang Wang*, Zhao Zhang*, Richang Hong, Zhuo Li and Meng Wang, "RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.32, no.3, pp.1351-1364, Mar 2021.    PDF

• Bowen Zhang, Xiaojie Jin, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng, "MV-Adapter: Exploring Parameter Efficient Learning for Video Text Retrieval, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, Feb 2024.  

• Kewei Wu, Wenjie Luo, Zhao Xie, Dan Guo, Zhao Zhang and Richang Hong, "Ensemble Prototype Network For Weakly-Supervised Temporal Action Localization", IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Mar 2024.   

• Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang and Jinxing Li, "Discriminative Regression with Adaptive Graph Diffusion", IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.35, no.2, pp.1797-1809, 2024.    PDF

• Jinjia Peng, Yang Wang*, Huibing Wang, Zhao Zhang*, Xianping Fu* and Meng Wang, "Unsupervised Vehicle Re-identification with Progressive Adaptation," In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, April 2020.    PDF   (Acceptance rate: 12.6%)  

• Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Zhao Zhang, Guangming Lu and Hongbing Yu, "Deep Active Context Estimation for Automated COVID-19 Diagnosis",  ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), vol.17, no.35, pp.1-22, Oct 2021. 

• Ran Chen, Hao Shen, Zhongqiu Zhao, Yi Yang and Zhao Zhang, "Global Routing between Capsules," Pattern Recognition (PR), vol.148, pp.110142, April 2024.     PDF

• Tingwei Pei, Li Zhang*, Bangjun Wang, Fanzhang Li and Zhao Zhang, "Decision pyramid classifier for face recognition under complex variations using single sample per person," Pattern Recognition (PR), vol.64, pp.305-313, April 2017.    PDF