Jiantao ZHOU (周建濤)
Professor,
Department of Computer and Information Science,
Faculty of Science and Technology, University of Macau

  • (+853) 8822-4495
  • (+853) 8822-2426​
  • jtzhou@um.edu.mo​
  • E11-4089, University of Macau

Research Interests

    • Trustworthy AI
    • Low-level Vision
    • Multimedia Forensics and Security

Education

    • PhD in Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China, 2005-2009
    • Fulbright Junior Scholar in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA, 2007-2008
    • Master in Radio Engineering, Southeast University, China, 2002-2005
    • Bachelor in Electronics Engineering, Dalian University of Technology, China, 1998-2002

Positions and Experience

    • Director, Research Services and Knowledge Transfer Office, University of Macau, 2025.11-
    • Interim Director, Research Services and Knowledge Transfer Office, University of Macau, 2024.11-2025.11
    • Professor, Department of Computer and Information Science, University of Macau, 2023.8- 
    • Department Head, Department of Computer and Information Science, University of Macau, 2024.7-2025.7
    • Interim Head of Centre for AI and Robotics, Institute of Collaborative Innovation, University of Macau, 2019.7-2022.10
    • Associate Professor, Department of Computer and Information Science, University of Macau, 2017.8-2023.8
    • Assistant Professor, Department of Computer and Information Science, University of Macau, 2012.10-2017.8

Professional Activities

    • IEEE Trans. Dependable and Secure Computing (IF: 7.3), Associate Editor, 2023-2025; Senior Editor, 2025-.
    • IEEE Trans. Multimedia (IF: 8.182), Associate Editor, 2021-
    • APSIPA Newsletters, Editor-in-Chief, 2024-2025
    • IEEE Trans. Image Processing (IF: 11.041), Associate Editor, 2018-2023
    • Chair-Elect, IEEE CASS MSA-TC, 2024-
    • TPC Co-Chair, Int. Conf. on Multimedia and Expo (CCF B), 2023
    • General Co-Chair, APSIPA Annual Summit and Conference, 2024
    • TPC Co-Chair, IEEE IFTC-16
    • Chair, Track 10 (Multimedia Engineering), IEEE TENCON, 2015
    • Senior Member of IEEE, Member of APSIPA

Alumni

    • Jun Liu, PhD 2025, first employment: Post-Doc Fellow, National Institute of Informatics, Japan
    • Xiangyu Chen, PhD 2025 (Joint PhD with Prof. Chao Dong, SIAT), current employment: Research Scientist, TeleAI, China Telecom
    • Binbin Song, PhD 2024, first employment: Post-Doc Fellow, Nanyang Technological University-> Associate Professor, Harbin Institute of Technology
    • Haiwei Wu, PhD 2023, current employment: Professor, UESTC, China
    • Jiandian Zeng, PhD 2023, first employment: Assistant Professor, Beijing Normal University at Zhuhai
    • Jinyu Tian, PhD 2021, first employment: Assistant Professor, Macau University of Science and Technology
    • Jia Duan, PhD 2020, first employment: Research Scientist, JD Explore Academy
    • Weiwei Sun, PhD 2020, first employment: Research Scientist, Alibaba Group
    • Li Dong, PhD 2019, current employment: Associate Professor, Ningbo University
    • Yuanman Li, PhD 2019, first employment: Associate Professor, Shenzhen University
    • Xianwei Zheng, PhD 2018, current employment: Associate Professor, Foshan University
    • Wencheng Zou, Post-Doctoral Fellow 2020-2022, current employment: Professor, Nanjing University of Science and Technology
    • Yushu Zhang, Post-Doctoral Fellow 2015-2016, current employment: Professor, Nanjing University of Aeronautics and Astronautics
    • Yu Zhang, Research Assistant, 2015-2016, current employment: Senior Lecturer (Associate professor), Griffith University, Australia.

External Grants

    • Alibaba Innovative Research Program, PI, “面向在线社交网络上传播的图像来源识别研究”, Mar. 2023 – Mar. 2024. (Total: 300K RMB)
    • Macau Science and Technology Development Fund (FDCT), PI, “Research and industrialization of key technologies for multimedia information forensics over online social networks”, FDCT/022/2022/A1, Sept. 2022-Sept. 2025. (Total: 1.50M MOP)
    • Alibaba Innovative Research Program, PI, “基于表征学习的高泛化相机模型识别与分类研究”, Dec. 2021 – Sept. 2022. (Total: 500K RMB)
    • FDCT-MOST Joint Program, PI, “Phenotype based ASD Diagnosis using Artificial Intelligence Technology”,  FDCT/0072/2020/AMJ, Oct. 2021 – Oct. 2024. (Total: 1.58M MOP) 
    • Alibaba Innovative Research Program, PI, “抗媒体传输的高鲁棒伪造图象检测与定位研究”, Mar. 2021 – Mar. 2022. (Total: 500K RMB) 阿里巴巴优秀学术合作项目奖2023 
    • Natural Science Foundation of China, PI, “基于独立分段同分布噪声模型的鲁棒子空间表示研究”, 61971476, Jan. 2020 – Dec. 2023. (Total: 650K RMB)
    • Macau Science and Technology Development Fund (FDCT), PI of sub-project, “Research on key technologies and platforms for collaborative intelligence driven auto-driving cars”, FDCT/0015/2019/AKP, 2019-2022. (Total: 12M MOP)
    • Macau Science and Technology Development Fund (FDCT), PI, “Cross-channel Image Noise Modeling, Fast Algorithms, and Applications”, FDCT/077/2018/A2, 2019 – 2022. (Total: 1.059M MOP).
    • Macau Science and Technology Development Fund (FDCT), PI, “Privacy-preserving deep learning and its applications in collaborative big data analytics”, FDCT/022/2017/A1, Aug. 2017-Aug. 2020. (Total: 1.488M MOP).
    • Macau Science and Technology Development Fund (FDCT), PI, “Investigation of passive techniques for digital image Forgery detection”, FDCT/046/2014/A1, Jan. 2015-Jan. 2018. UM matching grant: MRG007/ZJT/2015/FST. (Total: 1.412M MOP)
    • Natural Science Foundation of China, PI, “加密域图像高性能压缩技术研究”, 61402547, Jan. 2015 – Dec. 2017. (Total: 260K RMB)
    • Natural Science Foundation of China, Co-PI, ““不可分”二维变换的优化设计及其在视频编码和加密中的应用”, 61370148, Jan. 2014 – Dec. 2016. (Total: 790K RMB)
    • Macau Science and Technology Development Fund (FDCT), PI, “High-fidelity image and video compression technology for resource-constrained mobile devices”, FDCT/009/2013/A1, Oct. 2013-Oct. 2016. UM matching grant: MRG021/ZJT/2013/FST. (Total: 2.409M MOP)

Journal Papers

    1. X. Y. Chen, X. T. Wang, W. L. Zhang, X. T. Kong, Y. Qiao, J. T. Zhou, and C. Dong, “HAT: Hybrid Attention Transformer for Image Restoration”, Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.
    2. H. W. Wu, J. T. Zhou, and S. L. Zhang, “Generalizable Synthetic Image Detection via Language-guided Contrastive Learning”, Accepted in IEEE Transactions on Artificial Intelligence (T-AI), 2025.
    3. Y. S. Zhao, G. P. Zhu, J. T. Zhou, X. L. Li, H. L. Zhang and X. P. Zhang, “CL-DRW: Curriculum Learning-Based Deep Robust Watermarking for Social Networks”, Accepted in IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), 2025.
    4. W. D. Chen, Z. Y. Zha, S. G. Wang, L. Ali, B. H. Wen, X. Yuan, J. T. Zhou, and C. Zhu, “Texture-Consistent 3D Scene Style Transfer via Transformer-Guided Neural Radiance Fields”, IEEE Trans. on Image Processing (T-IP), vol. 34, pp. 7193-7208.
    5. R. J. Yang, Y. F. Guo, R. K. Wang, J. T. Zhou, and Y. H. Wang, “A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate”, Accepted in IEEE Trans. Dependable and Secure Computing (T-DSC), 2025.
    6. J. L. Chen, L. Dong, W. Wang, R. D. Wang, W. W. Sun, Y. S. Zhang, and J. T. Zhou, “Mixed-Bit Sampling Watermarking: Towards Unifying Stochastic Anti-Counterfeiting and Authentication in Copy-Sensitive Graphical Code”, Accepted in IEEE Trans. Information Forensics and Security (T-IFS), 2025.
    7. S. C. Xie, T. Qiao, S. Li, X. P. Zhang, J. T. Zhou, and G. R. Feng, “Deepfake Detection in the AIGC Era: A Survey, Benchmarks, and Future Perspectives”, Accepted in Information Fusion, 2025.
    8. B. X. Lai, W. K. Su, Y. Y. Liang, Y. G. Wang, M. J. Li, and J. T. Zhou, “Enhancing Cross-domain Correspondence for Unsupervised Image-to-Image Translation”, Accepted in IEEE Trans. Multimedia (T-MM), 2025.
    9. F. P. Li, K. M. Li, Q. Z. Wang, B. Han. J. Y. Tian, and J. T. Zhou, “RML++: Regroup Median Loss for Combating Label Noise”, Accepted in International Journal of Computer Vision (IJCV), 2025. 
    10. F. P. Li, K. M. Li, H. W.. Wu, J. Y. Tian, and J. T. Zhou, “Toward Robust Learning via Core Feature-aware Adversarial Training”, Accepted in IEEE Trans. Information Forensics and Security (T-IFS), 2025
    11. B, B. Song, J. T. Zhou, X. Y. Chen, and S. N. Xu, “Modeling Scattering Effect for Under-Display Camera Image Restoration”, Accepted in International Journal of Computer Vision (IJCV), 2025.
    12. H. W. Wu, Y. M. Chen, J. T. Zhou, and Y. M. Li, ” Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering”, Accepted in IEEE Trans. on Dependable and Secure Computing (T-DSC), 2025.
    13. K. H. Wong, J. C. Zhou, K. M. Li, Y. W. Si, X. W. Wu, J. T. Zhou, “FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge”, Accepted in IEEE Trans. Multimedia (T-MM), 2025.
    14. X. Y. Chen, Z. Y. Li, Z. W. Zhang, J. S. Ren, Y. H. Liu, J. W. He, Y. Qiao, J. T. Zhou, C. Dong, “Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation”, Accepted in IEEE Trans. Multimedia (T-MM), 2025.
    15. R. J. Yang, Y. F. Guo, J. F. Wang, J. T. Zhou, Y. H. Wang, “Common knowledge learning for generating transferable adversarial examples”, Frontiers of Computer Science, vol. 19, no. 10, 1910359, 2025.
    16. R. Liang, Y. M. Li, Y. Yi, J. T. Zhou, X. Li, “A memory-augmented multi-task collaborative framework for unsupervised traffic anomaly detection in driving videos”, Pattern Recognition, vol. 168, 111789, 2025.
    17. Y. M. Li, Y. J. He, C. S. Chen, L. Dong, B. Li, J. T. Zhou, and X. Li, “Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning”, IEEE Trans. Image Processing (T-IP), vol. 34, pp. 425-440, 2024.
    18. Y. J. Chen, X. W. Zheng, Z. L. Yang, X. T. Li, J. T. Zhou, and Y. M. Li “DuPMAM: An Efficient Dual Perception Framework Equipped with a Sharp Testing Strategy for Point Cloud Analysis”, IEEE Trans. Multimedia (T-MM), vol. 27, pp. 1760-1771, 2024.
    19. R. Q. Liang, Y.M. Li, J. T. Zhou, and X. Li,“Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos”, IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), vol. 9, pp. 8864-8697, 2024.
    20. H. W. Wu, J. T. Zhou, X. Y. Zhang, J. Y. Tian, and W. W. Sun, “Robust Camera Model Identification over Online Social Network Shared Images via Multi-Scenario Learning”, IEEE Trans. Information Forensics and Security (T-IFS), vol. 19, pp. 148-162, 2024.
    21. W. C. Zou and J. T. Zhou, “A Novel Neural-Network-Based Consensus Protocol of Nonlinear Multiagent Systems”, IEEE Trans. Automatic Control (T-AC), vol. 69, no. 3, pp. 1713-1720, 2024.
    22. W. J. Li, J. C. Li, G. W. Gao, W. H. Deng, J. T. Zhou, J. Yang, and G. J. Qi, “Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution”, IEEE Trans. Multimedia (T-MM), vol. 26, pp. 864-877, 2024.
    23. Y. M. Li, J. X. You, J. T. Zhou, W. Wang, X. Liao, and X. Li, “Image Operation Chain Detection with Machine Translation Framework”, IEEE Trans. Multimedia (T-MM), vol. 25, pp. 6852-6867, 2024.
    24. Y.M. Li, L. P., Hu, L. Dong, H. W. Wu, J. Y. Tian, J. T. Zhou, and X. Li,“Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training”, IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), vol. 34, no. 3, pp. 1857-1872, 2024.
    25. J. Liu, J. T. Zhou, J. Y. Tian, and W. W. Sun, “Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples”, ACM Trans. on Multimedia Computing, Communications, and Applications (TOMM), vol. 20, no. 7, Article 216, 2024.
    26. Z.Y. Zha, B. H. Wen, X. Yuan, J. C. Zhang, J. T. Zhou, X. D. Jiang, and C. Zhu, “Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction”, IEEE Trans. Cybernetics, vol. 54, no. 5, pp. 3338-3351, 2024.
    27. G.Y.M. Fu, F. C. Xiong, J. F. Lu, J. Zhou, J. T. Zhou, and Y. T. Qian, “Hyperspectral Image Denoising via Spatial–Spectral Recurrent Transformer”, IEEE Trans. Geoscience and Remote Sensing (T-GRS), vol. 62, pp. 5511214, 2024.
    28. Y.M. Li, C. Xie, R. Q. Liang, J. Du, J. T. Zhou, and X. Li, “A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction”, IEEE Trans. on Network Science and Engineering (T-NSE), vol. 11, no. 1, pp.793-806, 2024.
    29. S. N. Xu, X. Y. Chen, B B. Song, C. S. Huang, and J. T. Zhou, “CNN Injected transformer for image exposure correction”, Neurocomputing, vol. 587, pp. 127688, 2024.
    30.  Z. Y. Zha, B. H. Wen, X. Yuan, J. C. Zhang, J. T. Zhou, and C. Zhu, “Structured residual sparsity for video compressive sensing reconstruction”, Signal Processing, vol. 222, pp. 109513, 2024.
    31. J. Liu, J. T. Zhou, H. W. Wu, W. W. Sun, and J. Y. Tian, “Generating Robust Adversarial Examples against Online Social Networks (OSNs)”, ACM Trans. on Multimedia Computing, Communications, and Applications (TOMM), vol. 20, no. 4, Article 98, 2023.
    32. R. Q. Liang, Y. M. Li, J. T. Zhou, and X. Li, “STGlow: A Flow-Based Generative Framework With Dual-Graphormer for Pedestrian Trajectory Prediction”, Accepted in IEEE Trans. on Neural Networks and Learning Systems (T-NNLS), 2023. 
    33. J. D. Zeng, J. T. Zhou, and T. Y. Liu, “Robust Multimodal Sentiment Analysis via Tag Encoding of Uncertain Missing Modalities”, IEEE Trans. Multimedia (T-MM), vol. 25, pp. 6301-6314, 2023.
    34. Z. Y. Zha, B. H. Wen, X. Yuan, J. T. Zhou, C. Zhu, and A. Kot, “Low-Rankness Guided Group Sparse Representation for Image Restoration”, IEEE Trans. on Neural Networks and Learning Systems (T-NNLS), vol. 34, no. 10, pp. 7593-7607, 2023.
    35. F. C. Xiong, J. T. Zhou, J. Zhou, J. F. Liu, and Y. T. Qian, “Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising”, IEEE Trans. Geoscience and Remote Sensing (T-GRS), vol. 61, pp. 5518515, 2023.
    36. Z. Y. Zha, B. H. Wen, X. Yuan, J. C. Zhang, J. T. Zhou, Y. L. Lu, and C. Zhu, “Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising”, IEEE Trans. Geoscience and Remote Sensing (T-GRS), vol. 61, pp. 5510316, 2023.
    37. S. R. Qi, Y. S. Zhang, C. Wang, J. T. Zhou, and X. C. Cao, “A Principled Design of Image Representation: Towards Forensic Tasks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 5, pp. 5337-5354, 2023.
    38. J. D. Zeng, J. T. Zhou, and C. S. Huang, “Exploring Semantic Relations for Social Media Sentiment Analysis”, IEEE/ACM Trans. Audio, Speech, and Language Processing (T-ASLP), vol. 31, pp. 2382-2394, 2023.  
    39. B. B. Song, J. T. Zhou, X. Y. Chen, and S. L. Zhang, “Real-Scene Reflection Removal with RAW-RGB Image Pairs”, IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), vol. 33, no. 8, pp. 3759-3773, 2023.
    40. Y. C. Zhu, X. K. Min, D. D. Zhu, G. T. Zhai, X. K. Yang, W. J. Zhang, K. Gu, and J. T. Zhou, “Toward Visual Behavior and Attention Understanding for Augmented 360 Degree Videos”, ACM Trans. Multimedia Computing, Communications, and Applications, vol. 19, no. 2s, pp. 99:1-24, 2023. 
    41. J. Y. Tian, J. T. Zhou, and J. Duan, “Hierarchical Services of Convolutional Neural Networks via Probabilistic Selective Encryption”, IEEE Trans. on Services Computing (T-SC), vol. 16, no. 1-2, pp. 343-355, 2023.
    42. W. C. Zou, J. T. Zhou, Y. L. Yang, and Z. R. Xiang, “Fully Distributed Optimal Consensus for A Class of Second-Order Nonlinear Multiagent Systems with Switching Topologies”, IEEE Systems Journal, vol. 17, no. 1, pp. 1548-1558, 2023.
    43. Z. Y. Zha, B. H. Wen, X. Yuan, S. Ravishankar, J. T. Zhou, and C. Zhu, “Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing”, IEEE Signal Processing Magazine, vol. 40, pp. 32-44, 2023.
    44. M. Cheung, W. W. Sun, J. She, and J. T. Zhou, “Social Network Analytic-based Online Counterfeit Seller Detection using User Shared Images”, ACM Trans. Multimedia Computing, Communications, and Applications, vol. 19, pp. 1-18, 2023.
    45. J. H. Hou, Z. Y. Zhu, J. H. Hou, H. Q. Zeng, J. J. Wu, and J. T. Zhou, “Deep Posterior Distribution-based Embedding for Hyperspectral Image Superresolution”, IEEE Trans. Image Processing (T-IP), vol. 31, pp. 5720-5732, 2022.
    46. B. B. Song, J. T. Zhou, and H. W. Wu, “Multi-stage Curvature-guided Network for Progressive Single Image Reflection Removal”, IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), vol. 32, pp. 6515-6529, 2022.
    47. Y. M. Li, J. T. Zhou, J. Y. Chen, J. Y. Tian, L. Dong and X. Li, “Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion”, IEEE Transactions on Computational Social Systems (T-CSS), vol. 9, pp. 1830-1841, 2022.
    48. Y. C. Su, J. Du, Y. M. Li, X. Li, Z. Y. Hua and J. T Zhou, “Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 23, pp. 16773-16785, 2022.
    49. Y. M. Li, J. T. Zhou, J. Y. Tian, X. W. Zheng, and Y. Y. Tang, “Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation”, IEEE Trans. on Neural Networks and Learning Systems (T-NNLS), vol. 33, pp. 4228-4242, 2022. 
    50. Z. Y. Zha, B. H. Wen, X. Yuan, J. T. Zhou, C. Zhu, and A. Kot, “A Hybrid Structural Sparsification Error Model for Image Restoration”, IEEE Trans. on Neural Networks and Learning Systems (T-NNLS), vol. 33, pp. 4451-4465, 2022. 
    51. F. C. Xiong, J. Zhou, S. Y. Tao, J. F. Lu, J. T. Zhou and Y. T. Qian, “SMDSNet: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising”, IEEE Trans. Image Processing (T-IP), vol. 31, pp. 5469-5483, 2022.
    52. H. W. Wu, J. T. Zhou, and Y. M. Li, “Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention”, IEEE Trans. on Multimedia (T-MM), vol. 24, pp. 4016-4027, 2021.
    53. Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, and Xiaochun Cao, “A survey of orthogonal moments for image representation: Theory, implementation, and evaluation”, ACM Computing Surveys (CSUR), vol. 55, no. 1, Article 1, 2021. 
    54. H. W. Wu, J. T. Zhou, J. Y. Tian, J. Liu, and Y. Qiao, “Robust Image Forgery Detection against Transmission over Online Social Networks”, IEEE Trans. Information Forensics and Security, vol. 17, pp. 443-456, 2022.
    55. H. Wu and J. Zhou, “IID-Net: Image Inpainting Detection Network via Neural Architecture Search and Attention,” IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), vol. 32, no. 3, pp. 1172-1185, 2022.
    56. J. D. Zeng, T. Y. Liu, W. J. Jia, and J. T. Zhou, “Relation construction for aspect-level sentiment classification”, Information Sciences, vol. 586, pp. 209-223, 2022.
    57. J. Duan, J. T. Zhou, Y. M. Li, and C. S. Huang, “Privacy-preserving and verifiable deep learning inference based on secret sharing”, Neurocomputing, vol. 483, pp. 221-234, 2022.
    58. Y. M. Li, R. Q. Liang, W. Wei, W. Wang, J. T. Zhou, and X. Li, “Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction”, IEEE Trans. on Network Science and Engineering (T-NSE), vol. 9, no. 3, pp.1006-1019, 2022.
    59. J. H. Zhang, X. K. Min, Y. C. Zhu,  G. T. Zhai, J. T. Zhou, X. K. Yang, and W. J. Zhang, “HazDesNet: An End-to-End Network for Haze Density Prediction”,  IEEE Trans. on Intelligent Transportation Systems (T-ITS), vol. 23, pp. 3087-3102, 2022. 
    60. G. T. Zhai, W. Sun, X. K. Min, and J. T. Zhou, “Perceptual Quality Assessment of Low-light Image Enhancement”, ACM Trans. on Multimedia Computing, Communications, and Applications (TOMM), vol. 17, no. 4, Article 130, 2021. 
    61. H. W. Wu and J. T. Zhou, “Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction”, IEEE Trans. on Information Forensics & Security (T-IFS), vol. 16, pp. 2973-2985, 2021.
    62. W. W. Sun, J. T. Zhou, Y. M. Li, M. Cheng, and J. She, “Robust High-Capacity Watermarking Over Online Social Network Shared Images”, IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), vol. 31, no. 3, pp. 1208-1221, 2021.
    63. Z. Y. Zhu, J. H. Hou, J. Chen, H. Q. Zeng, and J. T. Zhou, “Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning”, IEEE Trans. on Image Process. (T-IP), vol. 30, pp. 1423-1438, 2021.
    64. Z. Zha, B. Wen, X. Yuan, J. T. Zhou, J. Zhou and C. Zhu, “Triply Complementary Priors for Image Restoration,” IEEE Trans. on Image Process. (T-IP), vol. 30, pp. 5819-5834, 2021.
    65. W. W. Sun, J. T. Zhou, L. Dong, J. Y. Tian and J. Liu, “Optimal Pre-Filtering for Improving Facebook Shared Images,” IEEE Trans. on Image Process. (T-IP), vol. 30, pp. 6292-6306, 2021.
    66. J. Duan, J. T. Zhou, and Y. M. Li, “Secure and Verifiable Outsourcing of Large-scale Nonnegative Matrix Factorization (NMF)”, IEEE Trans. on Services Computing (T-SC), vol. 14, no. 6, pp. 1940-1953, 2021.
    67. Y. C. Zhu, G. T. Zhai, X. K. Min, and J. T. Zhou, “Learning a Deep Agent to Predict Head Movement in 360-Degree Images”, ACM Trans. on Multimedia Computing, Communications, and Applications (TOMM), vol. 16, no. 4, Article 130, pp. 1-23, 2021. 
    68. Y. F. Zheng, H. Y. Duan, X. T. Tang, C. Wang, and J. T. Zhou, “Denoising in the Dark: Privacy-Preserving Deep Neural Network Based Image Denoising”, IEEE Trans. on Dependable and Secure Computing (T-DSC), vol. 18, no. 3, pp. 1267-1275, 2021. 
    69. Y. S. Zhang, J. T. Zhou, Y. Xiang, Y. Zhang, F. Chen, S. N. Pang, and X. F. Liao, “Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds,” IEEE Trans. on Big Data (T-BD), vol. 7, no. 4, pp. 717-728, 2021.  
    70. X. W. Zheng, C. M. Zou, L. Dong, and J. T. Zhou, “Multi-windowed vertex-frequency analysis for signals on undirected graphs”, Computer Communications, vol. 172, pp. 35-44, 2021.
    71. J. D. Zeng, T. Y. Liu, W. J. Jia, J. T. Zhou, “Fine-grained Question-Answer sentiment classification with hierarchical graph attention network”, Neurocomputing, vol. 457, pp. 214-224, 2021.
    72. Z. Y. Zha, X. Yuan, J. T. Zhou, C. Zhu, and B. H. Wen, “Image Restoration via Simultaneous Nonlocal Self-Similarity Priors”, IEEE Trans. on Image Process. (T-IP) , vol. 29, pp. 8561-8576, 2020. 
    73. Z. Y. Zha, X. Yuan, B. H. Wen, J. T. Zhou, and C. Zhu, “Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration”, IEEE Trans. on Image Process. (T-IP) , vol. 29, pp. 8960-8975, 2020.
    74. X. K. Min, G. T. Zhai, J. T. Zhou, M.C. Q. Farias, and A.C. Bovik, “Study of Subjective and Objective Quality Assessment of Audio-Visual Signals”, IEEE Trans. on Image Process. (T-IP), vol. 29, pp. 6054-6068, 2020.
    75. Z. Y. Zha, X. Yuan, B. H. Wen, J. C. Zhang, J. T. Zhou, and C. Zhu, “Image Restoration Using Joint Patch-Group Based Sparse Representation”, IEEE Trans. on Image Process. (T-IP) , vol. 29, pp. 7735-7750, 2020.
    76. S.Y. Zhu, Z.Y. He, X.D. Meng, J.T. Zhou, Y.F. Guo, and B. Zeng, “A New Polyphase Down-Sampling-Based Multiple Description Image Coding”, IEEE Trans. on Image Process. (T-IP) , vol. 29, pp. 5596-5611, 2020.
    77. Z. Y. Zha, X. Yuan, B. H. Wen, J. T. Zhou, J. C. Zhang, and C. Zhu, “From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration”, IEEE Trans. on Image Process. (T-IP) , vol. 29, pp. 3254-3269, 2020.
    78. Z. Y. Zha, X. Yuan, B. H. Wen, J. T. Zhou, J. C. Zhang, and C. Zhu, “A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization”, IEEE Trans. on Image Process. (T-IP) , vol. 29, pp. 5094-5109, 2020.
    79. Y. C. Zhu, G. T. Zhai, X. K. Min, and J. T. Zhou “The Prediction of Saliency Map for Head and Eye Movements in 360 Degree Images”, IEEE Trans. on Multimedia (T-MM), vol. 22, no. 9, pp. 2331-2344, 2020. 
    80. L. Dong, J. T. Zhou, D. Q. Yan, and R. D. Wang, “First Steps Toward Concealing the Traces Left by Reversible Image Data Hiding”, IEEE Trans. on Circuits and Systems II: Express Briefs (T-CASII), vol. 67, no. 5, pp. 951-955, 2020. 
    81. J. Duan, J. T. Zhou, and Y. M. Li, “Privacy-Preserving distributed deep learning based on secret sharing”, Information Sciences, vol. 527, pp. 108-127, 2020.
    82. X. K. Min, J. T. Zhou, G. T. Zhai, P. L. Callet, X. K. Yang, X. P. Guan, “A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation”, IEEE Trans. on Image Process. (T-IP), vol. 29, pp. 3790-3804, 2020.
    83. X. K. Min, G. T. Zhai, J. T. Zhou, X. P. Zhang, X. K. Yang, X. P. Guan, “A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence”, IEEE Trans. on Image Process. (T-IP), vol. 29, pp. 3805-3819, 2020.
    84. L. Dong, J. T. Zhou, and Y. Y. Tang, “Content-Adaptive Noise Estimation for Color Images with Cross-Channel Noise Modeling”, IEEE Trans. on Image Process. (T-IP), vol. 28, no. 8, pp. 4161-4176, 2019.
    85. Y. M. Li and J. T. Zhou, “Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 14, no. 5, pp. 1307-1322, 2019.
    86. M. Cheung, J. She, W.W. Sun, and J. T. Zhou, “Detecting Online Counterfeit-goods Seller using Connection Discovery”, ACM Trans. on Multimedia Computing, Communications, and Applications (TOMM), vol. 15, no. 2, 35:1-35:16, 2019.
    87. X. W. Zheng, Y. Y. Tang, and J. T. Zhou, “A Framework of Adaptive Multiscale Wavelet Decomposition for Signals on Undirected Graphs”, IEEE Trans. on Signal Proc. (T-SP), vol. 67, no. 7, pp. 1696-1711, 2019.
    88. X. K. Min, G. T. Zhai, K. Gu, Y. C. Zhu, J. T. Zhou, G. D. Guo, X. K. Yang, X. P. Guan, W. J. Zhang, “Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images”, IEEE Trans. on Multimedia (T-MM), vol. 21, no. 9, pp. 2319-2333, 2019.
    89. Y. S. Zhang, Y. Xiang, Y. Zhang, L.X. Yang, J. T. Zhou, “Efficiently and securely outsourcing compressed sensing reconstruction to a cloud”, Inf. Sci., vol. 496, pp. 150-160, 2019.
    90. S. Y. Zhu, Z. Y. He, C. Chen, S. C. Liu, J. T. Zhou, Y. F. Guo, and B. Zeng, “High-Quality Color Image Compression by Quantization Crossing Color Spaces”, IEEE Trans. on Circuits and Syst. for Video Technology (T-CSVT), vol. 29, no. 5, pp.1474-1487, 2019.
    91. X. W. Zheng, Y. Y. Tang, J. T. Zhou, J. J. Pan, S. Z. Yang, Y. F. Li, and P. Wang, “Multi-level Downsampling of Graph Signals via Improved Maximum Spanning Trees”, Int. J. of Pattern Recognition and Artificial Intelligence, vol. 33, no. 3, pp. 1958005, 2019.
    92. L. Dong, J. T. Zhou, and Y. Y. Tang, “Effective and Fast Estimation for Image Sensor Noise via Constrained Weighted Least Squares”, IEEE Trans. on Image Process. (T-IP), vol. 27, no. 6, pp. 2715-2730, 2018.
    93. W. W. Sun, J. T. Zhou, S. Y. Zhu, and Y. Y. Tang, “Robust Privacy-Preserving Image Sharing over Online Social Networks (OSNs)”, ACM Trans. on Multimedia Computing, Communications, and Applications (TOMM), vol. 14, no. 1, pp. 14:1-14:22, 2018. [codes]
    94. S. Y. Zhu, Z. Y. He, X. D. Meng, J. T. Zhou, and B. Zeng, “Compression-Dependent Transform-Domain Downward Conversion for Block-Based Image Coding”, IEEE Trans. on Image Process. (T-IP), vol. 27, no. 6, pp. 2635-2649, 2018.
    95. Y. Zhang, Y. S. Liu, C. Wang, J. T. Zhou, Y. S. Zhang, G. R. Chen, “Improved known-plaintext attack to permutation-only multimedia ciphers”, Information Sciences, vol. 430, pp. 228-239, 2018.
    96. L. Dong, J. T. Zhou, and Y. Y. Tang, “Noise Level Estimation for Natural Images Based on Scale-Invariant Kurtosis and Piecewise Stationarity”, IEEE Trans. on Image Process. (T-IP), vol. 26, no. 2, pp. 1017-1039, 2017. 
    97. Y. M. Li, J. T. Zhou, and A. Cheng, “SIFT Keypoint Removal via Directed Graph Construction for Color Images”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 12, no. 12, pp. 2971-2985, 2017.
    98. Y. F. Zheng, H. L. Cui, C. Wang, and J. T. Zhou, “Privacy-Preserving Image Denoising from External Cloud Databases”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 12, no. 6, pp. 1285-1298, 2017.
    99. X. M. Liu, D. M. Zhai, J. T. Zhou, S. Q. Wang, D. B. Zhao, and H.J. Gao, “Sparsity-based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization”, IEEE Trans. on Image Process. (T-IP), vol. 26, no. 2, pp. 782-796, 2017.
    100. Y. M. Li, J. T. Zhou, A. Cheng, X. M. Liu, and Y. Y. Tang, “SIFT Keypoint Removal and Injection via Convex Relaxation”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 11, no. 8, pp. 1722-1735, 2016.
    101. J. T. Zhou, W. W. Sun, L. Dong, X. M. Liu, O. C. Au, and Y. Y. Tang, “Secure Reversible Image Data Hiding over Encrypted Domain via Key Modulation”, IEEE Trans. on Circuits and Syst. for Video Technology (T-CSVT), vol. 26, no. 3, pp. 441-452, 2016. [codes]
    102. X. W. Zheng, Y. Y. Tang, J. J. Pan, and J. T. Zhou, “Adaptive Multiscale Decomposition of Graph Signals”, IEEE Signal Processing Letters (SPL), vol. 23, no. 10, pp. 1389-1393, 2016.
    103. Y. Zhang, K.W Wong, Y.S. Zhang, and J. T. Zhou, “Bi-level protected compressive sampling,” IEEE Trans. on Multimedia (T-MM), vol. 18, no. 9, pp. 1720-1732, 2016.
    104. Z. P. Gao, G. T. Zhai, and J. T. Zhou, “Factorization Algorithms for Temporal Psychovisual Modulation Display”, IEEE Trans. on Multimedia (T-MM), vol. 18, no. 4, pp. 614-626, 2016.
    105. X. M. Liu, D. M. Zhai, J. T. Zhou, D. B. Zhao, and W. Gao, “Compressive Sampling based Image Coding for Resource-deficient Visual Communication”, IEEE Trans. on Image Process. (T-IP), vol. 25, no. 6, pp. 2844-2855, 2016.
    106. X. M. Liu, X. L. Wu, J. T. Zhou, and D. B. Zhao, “Data-driven soft decoding of compressed images in dual transform-pixel domain”, IEEE Trans. on Image Processing. (T-IP), vol. 25, no. 4, pp. 1649-1659, 2016.
    107. A. M. Zheng, Y. Yuan, J. T. Zhou, Y. F. Guo, H. T. Yang, and O. C. Au, “Adaptive block coding order for Intra prediction in HEVC”, IEEE Trans. on Circuits and Syst. for Video Technology (T-CSVT), vol. 26, no. 11, pp. 2152-2158, 2016.
    108. Y. S. Zhang, Y. Zhang, J. T. Zhou, L.C. Liu, F. Chen, and X. He, “A Review of Compressive Sensing in Information Security Field”, IEEE Access, vol. 4, pp. 2507–2519, 2016.
    109. J. H. Wang, L. J. Chen, J. T. Zhou, W. K. Ng, R. Schober, and and C. M. Zhao, “Distributed User-Centric Scheduling for Visible Light Communication Networks”, Optics Express, vol. 24, no. 4, pp. 15570-15589, 2016.
    110. Y. S. Zhang, J. T. Zhou, F. Chen, Y. Zhang, D. Xiao, B. Chen, and X. Liao, “A Block compressible Sensing Based Scalable Encryption Framework for Protecting Significant Image Regions”, Int. J. of Bifurcation and Chaos (IJBC), vol. 26, no. 11, pp. 1650191, 2016.
    111. Y.S. Zhang, J. T. Zhou, F. Chen, Y. Zhang, K.W Wong, X. He, and D. Xiao, “Embedding Cryptographic Features in Compressive Sensing,” Neurocomputing, vol. 40, no. 12, pp. 472-480, 2016.
    112. Y. F. Guo, O. C. Au, J. T. Zhou, K. T. Tang and X. P. Fan, “Halftone image watermarking via optimization”, Sig. Proc.: Image Comm., vol. 41, pp. 85-100, 2016.
    113. Y. S. Zhang, D. Xiao, K. W. Wong, J. T. Zhou, S. Bai, and M.T. Su, “Perturbation meets key-based interval splitting arithmetic coding: security enhancement and chaos generalization”, Security and Comm. Networks, vol. 9, no. 1, pp.43-53, 2016.
    114. Y. M. Li and J. T. Zhou, “Anti-Forensics of Lossy Predictive Image Compression”, IEEE Signal Processing Letters (SPL), vol. 22, no. 12, pp. 2219-2223, 2015.
    115. Y. S. Zhang, K. W. Wong, Y. Zhang, W.Y. Wen, J. T. Zhou, and X. He, “Robust coding of encrypted images via structural matrix”, Sig. Proc.: Image Comm, vol. 39, pp. 202-211, 2015.
    116. X. M. Liu, X. W. Gao, D. B. Zhao, J. T. Zhou, G. T. Zhai, and W. Gao, “Model-based low bit-rate video coding for resource-deficient wireless visual communication”, Neurocomputing, vol. 162, pp. 180-190, 2015.
    117. J. H. Wang, Y. M. Huang, J. T. Zhou, and L. Sun, “On imperfect pricing in globally constrained noncooperative games for cognitive radio networks”, Signal Processing, vol. 117, pp. 96-101, 2015.
    118. J. T. Zhou, O. C. Au, G. T. Zhai, Y. Y. Tang, and X. M. Liu, “Scalable Compression of Stream Cipher Encrypted Images through Context-Adaptive Sampling”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 9, no.11, pp. 1857-1868, 2014
    119. J. T. Zhou,  X. M. Liu, O. C. Au, and Y. Y. Tang, “Designing an Efficient Image Encryption-then-Compression System via Prediction Error Clustering and Random Permutation”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 9, no. 2, pp. 39-50, 2014. 
    120. X.M. Liu, D.B. Zhao, J. T. Zhou, W. Gao and H.F. Sun, “Image Interpolation via Graph-based Bayesian Label Propagation,” IEEE Trans. on Image Process. (T-IP), Vol. 23, No. 3, pp. 1084-1096, March 2014.
    121. J. T. Zhou and X. Wu, “L2 restoration of L∞-decoded images via soft-decision estimation”, IEEE Trans. on Image Processing (T-IP), vol. 21, no. 12, pp. 4797-4807, 2012.
    122. J. T. Zhou and O. C. Au, “Determining the Capacity Parameters in PEE-based Reversible Watermarking,” IEEE Signal Processing Letters (SPL), vol. 19, no. 5, pp. 287-290, 2012.
    123. J. T. Zhou and O. C. Au, “On the Security of Chaotic Convolutional Coder”, IEEE Trans. on Circuits and Systems-I (T-CASI), vol. 58, no.3, pp. 595-606, March 2011.
    124. K. Wang, W. J. Pei, J. T. Zhou, Y. F. Zhang, and S. Y. Zhou, “Security of chaos-based secure communications in a large community”, Acta Phys. Sin., vol. 60, no. 7, 070503.
    125. J. T. Zhou and O. C. Au, “Error Recovery of Variable Length Codes over BSC with Arbitrary Crossover Probability”, IEEE Trans. on Comm.(T-COM), vol. 58, pp. 1654-1666, 2010.
    126. X.P. Fan, O.C. Au, N.M. Cheung, Y. Chen and J. T. Zhou, “Successive Refinement based Wyner-Ziv Video Compression”， Signal Processing: Image Communications, vol. 25, no. 1, pp. 47-63, January 2010.
    127. J. T. Zhou and O. C. Au, “Adaptive Chosen-ciphertext Attack on Secure Arithmetic Coding”, IEEE Trans. on Signal Proc. (T-SP), vol. 57, pp. 1825-1838, May 2009.
    128. X. P. Fan, O. C. Au, Y. Chen, J. T. Zhou, M. Y. Ma, and P. H. W. Wong, “Wyner-Ziv-based Bidirectionally Decodable Video Coding”, Journal of Visual Communication and Image Representation, vol. 20, no. 6, pp. 365–376, 2009.
    129. J. T. Zhou and O. C. Au, “Comments on “A Novel Compression and Encryption Scheme Using Variable Model Arithmetic Coding and Coupled Chaotic System””, IEEE Trans. on Circuits and Systems-I (T-CASI), vol. 55, pp. 3368-3369, Nov. 2008.
    130. J. T. Zhou and O. C. Au, “Security Analysis of Multimedia Encryption Schemes Based on Multiple Huffman Table”, IEEE Signal Proc. Letters (SPL), vol. 14, pp. 201-204, 2007.
    131. J. T. Zhou, W. J. Pei, K. Wang, J. Huang, and Z. Y. He, “Secure Communication Scheme Based on Asymptotic Model of Deterministic Randomness”, Physics Letters A, vol. 358, pp. 283-288, 2006.
    132. H. H. Szu, C. Hsu, M. K. Hsu and J. T. Zhou, “Intelligent Network Computing Augmented by Chaotic Neural Networks, Blind Sources Separation, Digital Watermarks”, International Journal of Information Acquisition, vol. 1, no. 4, pp 295–320, April 2005.
    133. J. T. Zhou, Q. Z. Xu, W. J. Pei, Z. Y. He, and H. H. Szu, “Step to Improve Neural Cryptography against Flipping Attacks”, Int. J. of Neural Systems, vol. 14, no. 6, pp. 393-405, 2004

Conference Papers 

    1. Z. Q. Sheng, J. Y. Wu, W. Lu, and J. T. Zhou, “Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-26), 2026  (Oral). 
    2. Y. H. He, J. Y. Tian, X. W. Zheng, L. Dong, Y. M. Li, and J. T. Zhou, “Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-26), 2026.
    3. Z. Li, L. B. Xie, Y. M. He, and J. T. Zhou, “Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-26), 2026.
    4. W. D. Chen, Z. Y. Zha, S. G. Wang, B. H. Wen, X. Yuan, J. T. Zhou, Z. P. Fan, G. Yan, and C. Zhu, “KaRF: Weakly-Supervised Kolmogorov–Arnold Networks-based Radiance Fields for Local Color Editing”, In Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS-25), 2025.
    5. J. W. Fei, Y. S. Dai, P. P. Yu, Z. Kong, J. T. Zhou, and Z. H. Xia, “Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models”, In Proceedings of IEEE Conference on Computer Vision (ICCV-25), 2025 (Highlight).
    6. K. H. Wong, J. C. Zhou, H. W. Wu, Y. W. Si, and J. T. Zhou,  “ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement”, In Proceedings of IEEE Conference on Computer Vision (ICCV-25), 2025.
    7. K. H. Wong, J. C. Zhou, J. T. Zhou, and Y. W. Si, “An End-to-End Model For Logits Based Large Language Models Watermarking”, In Proceedings of IEEE Conference on Machine Learning (ICML-25), 2025.
    8. Z. Li, L. B. Xie, J. T. Zhou, X. T. Wang, H. W. Wu, H. Y. Tian, “Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-25), 2025 (Oral).
    9. J. W. Fei, Y. S. Dai, Z. H. Xia, F. J. Huang, J. T. Zhou, “OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-25), 2025 (Oral).
    10. X. Q. Yu, Z. Q. Sheng, W. Lu, X. Y. Luo, J. T. Zhou, “RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-25), 2025 (Oral).
    11. Z. Q. Sheng, W. Lu, X. Y. Luo, J. T. Zhou, X. C. Cao, “SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-25), 2025 (Oral).
    12. X. C. Chen, Q. L. Yin, J. R. Liu, W. Lu, X. Y. Luo, J. T. Zhou , “GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-25), 2025 (Oral).
    13. L. B. Xie, D. Pakhomov, Z. H. Wang, Z. Z. Wu, Z. Y. Chen, Y. Q. Zhou, H. T. Zheng, Z. F. Zhang, Z. Lin, J. T. Zhou, C. Dong, “TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-25), 2025
    14. Y. J. Li, Z. L. Zhou, R. H. Meng, B. W. Wang, X. J. Wang, C. Qiao, and J. T. Zhou, “Zero Matrix-guided Adaptive Image Vaccine against Diffusion Model-based Multitask”, In Proceedings of ACM Multimedia (ACM MM-25), 2025. 
    15. F. P. Li, K. M. Li, J. Y. Tian and J. T. Zhou, “DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain”, In Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS-24), 2024.
    16. S. N. Xu, B. B. Song, X. Y. Chen, X. N. Liu, and J. T. Zhou, “Image Demoireing in RAW and sRGB Domains”, In Proceedings of European Conference on Computer Vision (ECCV-24), 2024.
    17. X. Y. Chen, Z. Y. Li, Y. D. Pu, Y. H. Liu, J. T. Zhou, Y. Qiao, and C. Dong, “A Comparative Study of Image Restoration Networks for General Backbone Network Design”, In Proceedings of European Conference on Computer Vision (ECCV-24), 2024.
    18. F. P. Li, K. M. Li, J. Y. Tian and J. T. Zhou, “Regroup Median Loss for Combating Label Noise”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-24), 2024 (Oral).
    19. J. Liu, J. T. Zhou, J. D. Zeng, and J. Y. Tian, “DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-24), 2024.
    20. S. N. Xu, B. B. Song, X. Y. Chen and J. T. Zhou, “Direction-aware Video Demoiréing with Temporal-guided Bilateral Learning”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-24), 2024.
    21. Y. M. Chen, H. W. Wu, and J. T. Zhou, “Progressive Poisoned Data Isolation for Training-time Backdoor Defense”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-24), 2024.
    22. Y. C. Su, Y. M. Li, W. Wang, J. T. Zhou, and X. Li, “A Unified Environmental Network for Pedestrian Trajectory Prediction”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-24), 2024.
    23. Y. H. Liu, X. Y. Chen, X. Z. Ma, X. T. Wang, J. T. Zhou, Y. Qiao, and C. Dong, “Unifying Image Processing as Visual Prompting Question Answering ”, In Proceedings of IEEE Conference on Machine Learning (ICML-24), 2024.
    24. Y. Z. Huang, L. B. Xie, X. T. Wang, Z. Y. Yuan, X. D. Cun, Y. X. Ge, J. T. Zhou, C. Dong, R. Huang, R. M. Zhang, and Y. Shan, “SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-24), 2024 (Highlight).
    25. X. Y. Chen, Y. H. Liu, Y. D. Pu, W. L. Zhang, J. T. Zhou, Y. Qiao, and C. Dong, “Learning A Low-Level Vision Generalist via Visual Task Prompt”, In Proceedings of ACM Multimedia (ACM MM-24), 2024.
    26. X. Y. Chen, X. T. Wang, J. T. Zhou, Y. Qiao, and C. Dong, “Activating More Pixels in Image Super-Resolution Transformer”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-23), 2023.
    27. Y. M. Chen, J. Y. Tian, X. Y. Chen, and J. T. Zhou, “Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-23), 2023.
    28. B. B. Song, X. Y. Chen, S. N. Xu, and J. T. Zhou, “Under-Display Camera Image Restoration with Scattering Effect”, In Proceedings of IEEE Conference on Computer Vision (ICCV-23), 2023.
    29. L. B. Xie, X. T. Wang, X. Y. Chen, G. Li, Y. Shan, J. T. Zhou, and C. Dong, “DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models”, In Proceedings of IEEE Conference on Machine Learning (ICML-23), 2023.
    30. H. W. Wu, J. T. Zhou, J. Y. Tian, and J. Liu, “Robust Image Forgery Detection over Online Social Network Shared Images”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22), 2022 (Oral, AR 5%).
    31. Y. M. Li, J. T. Zhou, X. W. Zheng, J. Y. Tian, and Y. Y. Tang, “Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-19), 2019 (Oral, AR 5.6%).
    32. J. D. Zeng, T. Y. Liu, and J. T. Zhou, “Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities”, In Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval, 2022.
    33. J. Y. Tian, J. T. Zhou, and J. Duan, “Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services”, ”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-21), 2021.
    34. J. Y. Tian, J. T. Zhou, Y.M. Li and J. Duan, “Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-21), 2021.
    35. R. Q. Liang, Y.M. Li , X. Li, Y. Tang, J. T. Zhou and W. B. Zou, “Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision”, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-21), 2021.
    36. J. X. You Y. M. Li, J. T. Zhou, Z. Y. Hua W. W. Sun, and X. Li, “A Transformer based Approach for Image Manipulation Chain Detection”, In Proceedings of ACM Multimedia (ACM MM-21), 2021. 
    37. W. W. Sun, J. T. Zhou, R. Lyu, and S. Y. Zhu, “Processing-Aware Privacy-Preserving Photo Sharing over Online Social Networks”, In Proceedings of ACM Multimedia (ACM MM-16), 2016.
    38. Y. Y. Li, J. T. Zhou, and Y. M. Li, “Ciphertext-Only Attack on an Image Homomorphic Encryption Scheme with Small Ciphertext Expansion”, In Proceedings of ACM Multimedia (ACM MM-15), 2015.
    39. X. M. Liu, X. L. Wu, and J. T. Zhou, “Data-driven Sparsity-based Restoration of JPEG-compressed Images in Dual Transform-Pixel Domain”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-15), 2015.
    40. J. D. Zeng, T. Y. Liu, and J. T. Zhou, “Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities”, In Proceedings of Conference on Empirical Methods in Natural Language Processing, 2022.
    41. J. X. You, Y. M. Li, R. Q. Liang, Y. X. Tan, J. T. Zhou, and X. Li, “Image Sharing Chain Detection VIA Sequence-To-Sequence Model“, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023.
    42. Z. Y. Zha, B. H.Wen, X. Yuan, J. T. Zhou, and C. Zhu, “Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling“, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023.
    43. Z. Y. Zha, B. H.Wen, X. Yuan, J. T. Zhou, and C. Zhu, “Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising”, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022.
    44. Z. X. Zhang, Y. L. Zhang, X. F. Zheng, J. Y. Tian, and J. T. Zhou, “Self-Supervised Adversarial Example Detection by Disentangled Representation“, In Proceedings of IIEEE International Conference on Trust, Security and Privacy in Computing and Communications, 2022.
    45. Z. Y. Zha, X. Yuan, J. T. Zhou, C. Zhu, and B. H. Wen, “A Hybrid Structural Sparse Error Model for Image Deblocking”, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-20), 2020.
    46. Z. Y. Zha, X. Yuan, J. T. Zhou, C. Zhu, and B. H. Wen, “Reconciliation of Group Sparsity and Low-rank models for Image Restoration”, In Proceedings of IEEE International Conference on Multimedia & Expo (ICME-20), 2020. (Oral)
    47. L. Dong and J. T. Zhou, “Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-18), 2018. (Oral)
    48. Y. F. Zheng, C. Wang, and J. T. Zhou, “Toward Secure Image Denoising: A Machine Learning based Realization”, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-18), 2018.
    49. L. Dong and J. T. Zhou, “Efficient Image Sensor Noise Estimation via Iterative Re-weighted Least Squares”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-17), 2017.
    50. W. Sun, G. T. Zhai, X. K. Min, Y. T. Liu, S. W. Ma, J. Liu, J. T. Zhou, and X. M. Liu “Dynamic Backlight Scaling Considering Ambient Luminance for Mobile Energy Saving,” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-17), 2017.
    51. X. K. Min, G. T. Zhai, K. Gu, Y. M. Fang, X. K. Yang, X. L. Wu, J. T. Zhou, and X. M. Liu, “Blind Quality Assessment of Compressed Images via Pseudo Structural Similarity”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-16), 2016 (Best Student Paper).
    52. A. Cheng, Y. M. Li, and J. T. Zhou, “SIFT Keypoint Removal via Convex Relaxation”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-15), 2015 (top 15% paper).
    53. L. Dong and J. T. Zhou, “Estimation of Capacity Parameters for Dynamic Histogram Shifting (DHS)-based Reversible Image Watermarking, ” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-14), 2014.
    54. W. Dai, O. C. Au, W. J. Zhu, P. F. Wan, W. Hu, and J. T. Zhou, “SSIM-based rate-distortion optimization in H.264,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-14), 2014.
    55. J. T. Zhou, X. M. Liu and O. C. Au, “On the Design of An Efficient Encryption-then-Compression System,” In  Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-13), 2013.
    56. D. M. Zhai, X. M. Liu, J. T. Zhou, D.B. Zhao, and W. Gao, “Spatial Error Concealment via model based coupled sparse representation, ” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-13), 2013.
    57. J. T. Zhou and X. L. Wu, “Context Modeling and Correction of Quantization Errors in Prediction Loop,” In Proceedings of Data Compression Conference (DCC-12), 2012.
    58. J. T. Zhou and O. C. Au, “On the Determination of Capacity Parameters in PEE-based Reversible Image Watermarking,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-12), 2012.
    59. J. T. Zhou and O. C. Au, “Security Evaluation of a Perceptual Image Hashing Scheme Based on Virtual Watermark Detection,” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-11), pp. 1-6, July, 2011.
    60. X. L. Wu, J. T. Zhou, and Heng Wang, “High-fidelity Image Compression for High-throughput and Energy-efficient Cameras,” In Proceedings of Data Compression Conference (DCC-11), pp. 433–442, March 2011.
    61. J. T. Zhou and O. C. Au, “Security and Efficiency Analysis of Progressive Audio Scrambling in Compressed Domain,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-10), pp. 1802–1805, March 2010.
    62. John S. Ho, Oscar C. Au, J. T. Zhou, and Yuanfang Guo, “Inter-channel Demo-saicking Traces for Digital Image Forensics,” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-10), pp. 1475–1480, July 2010.
    63. X. P. Fan, O. C. Au, and J. T. Zhou, “Backward error concealment of redundantly coded video,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-10), July 2010.
    64. J. T. Zhou and O. C. Au, “Secure Exp-Golomb Coding using Stream Cipher,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-09), pp. 1457–1460, April 2009.
    65. X. P. Fan, O. C. Au, M. Y. Ma, L. Hou, J. T. Zhou and N. M. Cheung, “Transcoding based Robust Streaming of Compressed Video,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-09), pp.909–912, April 2009.
    66. X. P. Fan, O. C. Au, M. Y. Ma, L. Hou, J. T. Zhou and N. M. Cheung, “On Improving the Robustness of Compressed Video by Slepian-Wolf based Lossless Transcoding,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-09), pp. 884–887, May 2009.
    67. J. T. Zhou and O. C. Au, “Secure Lempel-Ziv-Welch (LZW) Algorithm with Random Dictionary Insertion and Permutation,” In Proceedings of IEEE Inter-national Conference on Multimedia and Expo (ICME-08), pp. 245–248, June 2008.
    68. Xiaopeng Fan, Oscar C. Au, J. T. Zhou, Mengyao Ma and Liwei Guo, “Improved Bidirectionally Decodable Wyner-Ziv Video Coding”, In Proceedings of IEEE International Conference on Multimedia and Expo, 2008.
    69. J. T. Zhou and O. C. Au, “Cryptanalysis of Secure Arithmetic Coding,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-08), pp. 1769–1772, April 2008.
    70. J. T. Zhou, X. P. Fan, Z. Q. Liang and O. C. Au, “Exact Symbol Error Rate for Variable Length Codes over Binary Symmetric Channel,” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-07), pp.641–644, April 2007.
    71. Z. Q. Liang, J. T. Zhou, L. W. Guo, M. Y. Ma and O. C. Au, “Joint Decoding of Multiple Video Streams,” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-07), 2007.
    72. X. P. Fan, O. C. Au, Y. Chen, J. T. Zhou, and P. H. W. Wong, “Wyner-Ziv Successive Refinement of Video and Rate Distortion Analysis,” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-07), 2007.
    73. J. T. Zhou, Z. Q. Liang, Y. Chen and O. C. Au, “On the Security of Multimedia Encryption Schemes Based on Multiple Huffman Table (MHT),” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-06), pp. 2185–2188, July 2006.
    74. Y. Chen, O. C. Au, J. T. Zhou and C. W. Ho, “Adaptive Switching Between Directional Interpolation and Region Matching For Spatial Error Concealment Based on DCT Coefficients,” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-06), pp. 805–808, July 2006.
    75. Z. H. Che, G. T. Zhai, J. Liu, K. Gu, P. L. Callet, J. T. Zhou, X. M. Liu, “A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network”, In Proceedings of IEEE International Conference on Image Processing (ICIP-18), 2018.
    76. M. Cheung, W. W. Sun, and J. T. Zhou, “Discovering Social Connections using Event Images”, In Proceedings of ACM Multimedia Asia (ACM MM Asian-21), 2021.
    77. H. W. Wu and J. T. Zhou, “GIID-NET: Generalizable Image Inpainting Detection Network”, In Proceedings of IEEE International Conference on Image Processing (ICIP-21), 2021. 
    78. Z. Y. Zha, B. H. Wen, X. Yuan, J. T. Zhou, and C. Zhu, “Low-Rank Regularized Joint Sparsity for Image Denoising”, In Proceedings of IEEE International Conference on Image Processing (ICIP-21), 2021.
    79. Z. Y. Zha, X. Yuan, T. Y. Zhou, J. T. Zhou, B. H. Wen, and C. Zhu, “The Power Of Triply Complementary Priors For Image Compressive Sensing”, In Proceedings of IEEE International Conference on Image Processing (ICIP-20), 2020.
    80. Z. Y. Zha, B. H. Wen, J. C. Zhang, J. T. Zhou, C. Zhu, “A Comparative Study for the Nuclear Norms Minimization Methods”, In Proceedings of IEEE International Conference on Image Processing (ICIP-19), 2019.
    81. Z. Y. Zha, X. Yuan, B. H. Wen, J. C. Zhang, J. T. Zhou, C. Zhu, “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising”, In Proceedings of IEEE International Conference on Image Processing (ICIP-19), 2019.
    82. H. W. Wu, J. T. Zhou, and Y. M. Li, “Image Reconstruction from Local Descriptors Using Conditional Adversarial Networks”, In Proceedings of APSIPA Annual Summit and Conference (ASC-19), 2019.
    83. L. Dong, J. T. Zhou, C. M. Zou, and Y.L. Wang, “Iterative first-order reverse image filtering”, In Proceedings of the ACM Turing Celebration Conference – China (TUR-C-2019), 2019.
    84. Z. Zha, X. Yuan, B. H. Wen, J. T. Zhou, C. Zhu, “Joint Patch-Group Based Sparse Representation for Image Inpainting”, In Proceedings of Asian Conference on Machine Learning (ACML-18), 2018.
    85. X. Zhang, J. Duan, and J. T. Zhou, “A Robust Secret Sharing QR Code via Texture Pattern Design”, In Proceedings of APSIPA Annual Summit and Conference (ASC-18), 2018.
    86. Y. C. Zhu, G. T, Zhai, W. H. Zhu, and J. T. Zhou, “An Image Augmentation Method for Quality Assessment Database”,In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-18), 2018.
    87. W. W. Sun and J. T. Zhou, “Image Origin Identification for Online Social Networks (OSNs)”, In Proceedings of APSIPA Annual Summit and Conference, 2017.
    88. Y. C. Chen, G. T. Zhai, K. Gu, X. F. Zhang, W. S. Lin, and J. T. Zhou, “Benchmarking Screen Content Image Quality Evaluation in Spatial Psychovisual Modulation Display System”, In Proceedings of IEEE Pacific-Rim Conference on Multimedia (PCM-17), 2017.
    89. Y. C. Chen, G. T. Zhai, and J. T. Zhou, “Global Quality of Assessment and Optimization for the Backward-compatible Stereoscopic Display System,” In Proceedings of IEEE International Conference on Image Processing (ICIP-17), 2017.
    90. W. B. Zhao, X. M. Liu, J. T. Zhou, D. B. Zhao, and W. Gao “Mesh Denoising with Local Guided Normal Filtering and Non-local Similarity”, In International Forum of Digital TV and Wireless Multimedia Communication, 2016.
    91. X. W. Zheng, Y. Y. Tang, J. T. Zhou, H. L. Yuan, Y. L. Wang, L. N. Yang, and J. J. Pan “Multi-windowed Graph Fourier Frames”, In Proceedings of IEEE International Conference on Machine Learning and Cybernetics, 2016.
    92. L. Dong and J. T. Zhou, “Noise-Robust SLIC Superpixel for Natural Images”, In Proceedings of IEEE International Conference on Cloud Computing and Big Data (CCBD-2016), 2016.
    93. Y. M. Li and J. T. Zhou, “Image Copy-Move Forgery Detection Using Hierarchical Feature Point Matching”, In Proceedings of APSIPA Annual Summit and Conference (ASC-2016), 2016.
    94. Z. H. Che, G. T. Zhai, and K. Gu, and Y. C. Zhu, and J. T. Zhou, “Perceptually meaningful quadtree decomposition using dual-homogeneous criteria”, In Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB-2016), 2016.
    95. X.W. Zheng, Y. Y. Tang, J. T. Zhou, and P. Wang, “Maximal Level Estimation and Unbalance Reduction for Graph Signal Downsampling”, In Proceedings of IEEE International Conference on Pattern Recognition (ICPR-16), 2016.
    96. J. Duan, J. T. Zhou, and Y. M. Li, “Secure and Verifiable Outsourcing of Nonnegative Matrix Factorization (NMF)”, In Proceedings of ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec-16), 2016.
    97. S. Y. Zhu, L. Y. Zeng, B. Zeng, and J. T. Zhou, “Constrained Quantization Based Transform Domain Down-Conversion for Image Compression”, In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-16), 2016.
    98. M. Liu, K. Gu, G. T. Zhai, J. T. Zhou, W.S. Lin, “Quality Assessment of Contrast-Altered Images”, In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-16), 2016.
    99. L. Dong and J. T. Zhou, “Estimating Noise Level for Natural Images Based on Scale-Invariant Kurtosis and Piecewise Stationarity”, In Proceedings of IEEE International Conference on Image Processing (ICIP-16), 2016.
    100. X. W. Zheng, Y. Y. Tang, and J. T. Zhou, “Improving Unbalanced Downsampling via Maximum Spanning Trees for Graph Signals”, In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC-16), 2016.
    101. Y. S. Zhang, J. T. Zhou, Y. Zhang, F. Chen, and X.Y. Lei, “Support-Set-Assured Parallel Outsourcing of Sparse Reconstruction Service for Compressive Sensing in Multi-Clouds”, In Proceedings of International Workshop on Social Computing and Security (SocialSec-15), 2015.
    102. Y. Y. Li, J. T. Zhou, Y. M. Li, and O. C. Au, “Reducing the Ciphertext Expansion in Image Homomorphic Encryption via Linear Interpolation Technique”, In Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP-15), 2015.
    103. Z. P. Gao, G. T. Zhai, X. Gu, and J. T. Zhou, “Adapting Hierarchical ALS Algorithms for Temporal Psychovisual Modulation”, In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-15), 2015.
    104. K. Gu, G. T. Zhai, S. Wang, M. Liu, J. T. Zhou, and W. S. Lin, “A general histogram modification framework for efficient contrast enhancement”, In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-15), 2015.
    105. X. W. Zheng, Y. Y. Tang, J. T. Zhou, L. N. Yang, H. L. Yuan, Y. L. Wang, C. L. Li, “Redundant graph Fourier transform”, In Proceedings of IEEE International Conference on Cybernetics (CYBCONF-15), 2015.
    106. Z. P. Gao, G. T. Zhai, J. T. Zhou, X. K. Min, and C. J. Hu, “Information Security Display via Uncrowded Window”, In Proceedings of IEEE  Visual Communications and Image Processing (VCIP-14), 2014.  
    107. J. T. Zhou and O. C. Au, “Scalable coding of stream cipher encrypted images via adaptive sampling, ” In Proceedings of IEEE International Conference on Image Processing (ICIP-14), 2014.
    108. Y. M. Li and J. T. Zhou, “Sparsity-driven reconstruction of L∞ -decoded images,” In Proceedings of IEEE International Conference on Image Processing (ICIP-14), 2014.
    109. J. T. Zhou and X. L. Wu, “L2 Restoration of L∞-decoded Images with Context Modeling,” In Proceedings of IEEE International Conference on Image Processing (ICIP-11), pp. 1989-1992, 2011.
    110. J. T. Zhou and O. C. Au, “Cryptanalysis of Chaotic Convolutional Coder,” In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-10), pp.145–148, May 2010.
    111. L. Hou, O. C. Au, X. P. Fan and J. T. Zhou, “Maximum-likelihood versus maximum a posteriori based local illumination and color correction algorithm for multi-view video,” In Proceedings of IEEE Workshop on Multimedia Signal Processing (MMSP-09), 2009.
    112. J. T. Zhou and O. C. Au, “Joint Security and Performance Enhancement for Secure Arithmetic Coding,” In Proceedings of IEEE International Conference on Image Processing (ICIP-08), pp. 3120–3123, October 2008.
    113. J. T. Zhou and O. C. Au, “Error Recovery of Variable Length Codes over BSC with Arbitrary Crossover Probability,” In Proceedings of IEEE International Symposium on Information Theory (ISIT-08), pp. 1188–1192, June 2008.
    114. Xiaopeng Fan, Oscar C. Au, Yan Chen, J. T. Zhou and Mengyao Ma, “Bidirectionally Decodable Wyner-Ziv Video Coding,” In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-08), pp. 1404–1407, May 2008.
    115. J. T. Zhou and O. C. Au, “On a Conjecture on Error Recovery for Variable Length Codes,” In Proceedings of IEEE Information Theory Workshop (ITW-07), pp. 529–534, September 2007.
    116. Z. Q. Liang, J. T. Zhou, Liwei Guo, Mengyao Ma and O. C. Au, “A Novel Multiple Description Approach to Predictive Video Coding,” In Proceedings of Pacific-Rim Conference on Multimedia (PCM-07), pp. 603–612, December 2007.
    117. X. P. Fan, O. C. Au, Y. Chen and J. T. Zhou, “Heegard-Berger Video Coding Using LMMSE Estimator,” Lecture Notes in Computer Science (LNCS), vol. 4261, no. 1, pp. 122–130, October 2006.
    118. Y. Chen, O. C. Au, C. W. Ho and J. T. Zhou, “Spatio-Temporal Boundary Matching Algorithm for Temporal Error Concealment,” In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS-06), pp. 686–689, May 2006.
    119. Y. Chen, O. C. Au, J. T. Zhou, H. M. Wong, and C. W. Ho “Priority-driven extended boundary matching algorithm for temporal error concealment,” In Proceedings of IEEE Picture Coding Symposium (PCS-06), 2006.
    120. Z. Q. Liang, J. T. Zhou, O. C. Au and L. W. Guo, “Content-adaptive Temporal Search Range Control Based on Frame Buffer Utilization,” In Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP-06), pp. 399–402, October, 2006.
    121. J. T. Zhou, Q. Z. Xu, W. J. Pei, Z. Y. He and H. H. Szu, “A Novel Neural Cryptography Scheme Against Flipping Attack,” In Proceedings of the 14th National Conference on Neural Networks and Signal Processing (ICNNSP-04), pp. 1654–1657, 2004.
    122. F. Zhu and J. T. Zhou, “An Implementation of Access Control in Public Wireless Local Area Network,” In Proceedings of IEEE International Conference on Neural Networks and Signal Processing (ICNNSP-03), pp. 1654–1657, 2003.
    123. J. Y. Yuan, J. T. Zhou and W. J. Pei, “An Application of Network Address Translation on Gateway,” In Proceedings of IEEE International Conference on Neural Networks and Signal Processing (ICNNSP-03), pp. 1658–1661, 2003.

Teaching

    • Digital Image Processing
    • Multimedia Forensics and Security
    • Programming Language 
    • Program Design for Engineers 
    • Special Topics in Computer and Information Science 
Patents
    • J. T. Zhou, W. W. Sun, and L. Dong, “Method for reversible image data hiding”, US Patent, Granted, US9639912 B2, May 2017.
    • Oscar C. Au and J. T. Zhou, “Efficient encoding processes and apparatus”, US Patent, Granted, No. 8,457,304 B2 , June 2013.
    • Oscar C. Au and J. T. Zhou, “Method and System for Encoding Multimedia Content based on Secure Coding Schemes using Stream Cipher”, US Patent, Granted, No. 8,189,776, May 2012.
    • Oscar C. Au and J. T. Zhou, “System and Method for Encoding Data based on a Compression Technique with Security Features”, US Patent, Granted, No. 7,868,788, Jan. 2011.
    • 区子廉，周建涛，“基于具有安全特性的压缩技术来编码数据的系统和方法”，中国发明专利，授权号：ZL 200910203696.7，2013年7月。
    • 周建涛，区子廉，“基于流密码的安全编码方案的多媒体内容编码方法和系统”，中国发明专利，授权号：ZL200910176001.0，2014年7月