个人资料
教育经历工作经历2025.07-至今 华东师范大学 特聘教授 2025.07-至今 华东师范大学 信息与电子工程学院 院长 2015.01-至今 上海交通大学 特聘教授 2011.12-至今 上海交通大学 / 电子工程系 教授 2018-2020 上海交通大学 致远学院 副院长 2016-2018 上海交通大学 电子工程系 副系主任 2011.06-2012.06 美国加州大学圣地亚哥分校 / 生物医学信息中心 Scientist 2007.12-2008.12 美国卡耐基梅隆大学 / 电机与计算机工程系 Researcher 2005.08-2011.12 上海交通大学 / 电子工程系 副教授 2003.10-2005.08 上海交通大学 / 电子工程系 讲师 个人简介熊红凯，华东师范大学特聘教授，信息与电子工程学院（集成电路科学与工程学院）院长；上海交通大学特聘教授（二级教授） 国家杰青，长江学者特聘教授，万人计划科技创新领军人才 IEEE Fellow，AAIA Fellow，中国计算机学会（CCF）会士、中国人工智能学会（CAAI）会士、中国电子学会会士，国家自然科学基金委信息学部专家咨询委员会委员
科技部中青年科技创新领军人才，上海市优秀学术带头人、上海市曙光学者、上海市青年科技英才。作为第一完成人，曾获：上海市青年科技杰出贡献奖（2018）、上海市科技进步一等奖（2022）、上海市技术发明奖一等奖（2 次：2017、2011）、中国电子学会技术发明奖一等奖（2025）、中国电子学会自然科学一等奖（2021）、中国人工智能学会技术发明奖一等奖（2025）；曾获宝钢优秀教师奖（2 次：2021、2017）、华为最佳创新合作奖和优秀合作奖（2023、2022、2019）、ACM Multimedia 2022 Top Paper Award、IEEE ICIP 2024 Top 5% Award 等； 研究方向：信息论与编码、信号处理、多媒体通信、机器学习、计算机视觉；共发表 SCI、EI 论文 430 余篇，含：Nature、Science、Cell 子刊，IEEE Transactions 权威汇刊长文 118 篇（ 如：IEEE TPAMI 16 篇、IEEE TSP 12 篇、IEEE TCSVT 36 篇 等），顶级国际学术会议 ICML、NeurIPS、ICLR、CVPR 等论文 80 余篇；获中国、美国授权专利 103 项；共主持：国家自然科学基金项目 14 项，包括：国家杰青、重点项目 4 项、重点国际合作项目 2 项、原创探索项目等；曾获澳大利亚国家研究理事会探索基金资助；曾任澳大利亚新南威尔士大学、香港科技大学、香港大学的博士学位评审委员，香港研究资助委员会评审人。曾任上海交通大学致远学院副院长，曾任 IEEE Transactions on Circuits and Systems for Video Technology 编委。 目前培养 32 名博士、72 名硕士，入选：中国电子学会、中国图像图形学会优秀博士学位论文 4 篇；入选：国家杰青、国家优青、青年长江、万人青年拔尖人才、洪堡学者、微软学者，在美国获 NSF Career Award；十多名学生在国内外著名大学任教职（包括：上海交通大学、浙江大学、华东师范大学、纽约大学分校 等）。
社会兼职l IEEE Fellow l 亚太人工智能学会（AAIA） Fellow l 中国电子学会 会士 l 中国计算机学会（CCF） 会士 l 中国人工智能学会（CAAI） 会士 l 中国图象图形学学会 常务理事
l 国家自然科学基金委 信息学部第九届专家咨询委员会 委员
l IEEE Trans. Circuits and Systems for Video Technology Associate Editor l 中国电子学报（英文版） 编委 l 中国图象图形学学会 专业委员会 视觉大数据 主任 研究方向
招生与培养招生研究方向 博士、硕士研究生 信号处理、信息论与编码、机器学习和人工智能、多媒体通信、计算机视觉、生物医学信息处理 招生备注 鼓励免试直升资格和有学术才能、意愿的同学，申请直博研究生； 基于 “申请考核” 的方式，招收博士生 长期招募优秀研究生和本科生（正在招收 2026 年考研学生），欢迎对以上方向感兴趣的同学报名加入团队，我们会安排面试择优录取。 报名方式：下载并填写[报名表]，发送至 邮箱： hkxiong@cee.ecnu.edu.cn 招收如下学科专业的学生 开授课程 信号与系统、数字图像处理、小波与稀疏信号处理、机器学习
科研项目1. 国家自然科学基金重点项目 基于多媒体大模型的智能稀疏编码与适配通信：理论与技术，No. 62431017 主持人: 熊红凯 2025-2029 233万；
2. 国家自然科学基金重点国际合作项目 基于图深度学习的智能信息通信：理论与技术，No. 62320106003 主持人: 熊红凯 2024-2028 214万；
3. 国家自然科学基金原创探索项目 基于几何框架的通用深度神经网络-理论与方法，No. 62250055 主持人: 熊红凯 2023 100万；
4. 国家自然科学基金重点项目 非规则视觉大数据处理的图稀疏深度学习：理论与技术，No. 61932022 主持人: 熊红凯 2020-2024 301万；（结题：优秀）
5. 国家自然科学基金重点国际合作项目 图像视频大数据结构化学习信号处理：理论与技术，No. 61720106001 主持人: 熊红凯 2018-2022 290万；（结题：优秀）
6. 国家杰出青年科学基金 多媒体通信 No. 61425011 主持人: 熊红凯 2015-2019 400万；（结题：优秀）
7. 国家自然科学基金港澳及海外学者合作延续项目 移动视频分发网络的分布式优化，No. 61529101 主持人: 吴大鹏、熊红凯 2016-2019 180万；（结题：优秀）
8. 国家自然科学基金-广东联合重点项目 多维数字媒体的稀疏表示、结构化处理与联合编码，No. U1201255 主持人: 熊红凯 2013-2016 260万；（结题：优秀）
9. 国家自然科学基金重点项目 适配网络化视频处理基础理论与实验平台，No. 60632040 主持人: 熊红凯 2007-2010 200万；（结题：优秀）
10. 国家自然科学基金面上项目 基于结构化集学习的视频稀疏编码理论与技术，No. 61271218 主持人: 熊红凯 2013-2016 76万；
11. 国家自然科学基金面上项目 非对称视频编解码的多尺度分解重构技术研究，No. 60772099 主持人: 熊红凯 2008-2010 26万；
12. 科技部 863 计划视频媒体基于信息可重用的分布式网络化编码及传输，No. 2006AA01Z322 主持人: 熊红凯 2006-2009 75万；
13. 上海市“科技创新行动计划”区块链关键技术攻关专项 基于信息论度量的联邦学习理论与方法，No. 24BC3200800 主持人: 熊红凯 2024-2025 195万；
14. 上海市“科技创新行动计划”人工智能科技支撑专项深度神经网络的可伸缩非凸优化理论与算法，No. 20511100100 主持人: 熊红凯 2020-2023 100万；
15. 华为 神经网络的量化极限 主持人: 熊红凯 2019-2022 1160万；
16. 美国高通 视频检索和识别 主持人: 熊红凯 2019-2022 420万；
17. 华为 基于感知驱动的高保真视频时空超分技术合作 主持人: 熊红凯 2025-2026 175万；
18. 华为 基于视觉共主干模型的多模态理解任务高效调度 主持人: 熊红凯 2025-2026 140万； 学术成果1. Mingxing Xu, Chenglin Li, Wenrui Dai, Siheng Chen, Junni Zou, Pascal Frossard, Hongkai Xiong, “Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 48, no. 1, pp. 251-269, Jan. 2026. 2. Wen Fei, Wenrui Dai, Liang Zhang, Luoming Zhang, Chenglin Li, Junni Zou, Hongkai Xiong, “Latent Weight Quantization for Integerized Training of Deep Neural Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 4, pp. 2816-2832, Apr. 2025. 3. Hao Zhang, Chenglin Li, Wenrui Dai, Ziyang Zheng, Junni Zou, Hongkai Xiong, “Stabilizing and Accelerating Federated Learning on Heterogeneous Data with Partial Client Participation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 1, pp. 67-83, Jan. 2025. 4. Siyu Ren, Junhui Hou, Xiaodong Chen, Hongkai Xiong, Wenping Wang, “DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 8, pp. 6631-6646, Aug. 2025. 5. Jin Li, Yaoming Wang, Xiaopeng Zhang, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian, “Contrastive Learning via Variational Information Bottleneck”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 9, pp. 7410-7427, Sep. 2025. 6. Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong, “Source-Free Domain Adaptation with Domain Generalized Pretraining for Face Anti-Spoofing”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 8, pp. 5430-5448, Aug. 2024. 7. Yang You, Wenhao He, Jin Liu, Hongkai Xiong, Weiming Wang, Cewu Lu, “CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 12, pp. 9239-9254, Dec. 2024. 8. Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Variance Reduced Domain Randomization for Reinforcement Learning with Policy Gradient”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 2, pp. 1031-1048, Feb. 2024. 9. Xin Li, Wenrui Dai*, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong, “3-D Point Cloud Attribute Compression with p-Laplacian Embedding Graph Dictionary Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 2, pp. 975-993, Feb. 2024. 10. Jing Jin, Mantang Guo, Hui Liu, Junhui Hou, Hongkai Xiong, “Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 10, pp. 12050-12067, Oct. 2023. 11. Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan Yuille, “BNET: Batch Normalization with Enhanced Linear Transformation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 9225-9232, July 2023. 12. Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong, “Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 3226-3244, Mar. 2023. 13. Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Wenrui Dai, Hongkai Xiong, Qi Tian, “Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 3753-3767, Mar. 2023. 14. Haohang Xu, Hongkai Xiong, Guo-Jun Qi, “K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 11, pp.8694-8700, Nov. 2022. 15. Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, Qi Tian, “Partially-Connected Neural Architecture Search for Reduced Computational Redundancy”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 9, pp. 2953-2970, Sep. 2021. 16. Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, and Xing Lin, “Dual adaptive training of photonic neural networks”, Nature Machine Intelligence, vol. 5, pp. 1119-1129, Oct. 2023. 18. Junxiang Chen, Jin Li, Chunxi Zhang, Xinxin Zhi, Lei Wang, Quncheng Zhang, Pengfei Yu, Fei Tang, Xiankui Zha, Limin Wang, Wenrui Dai, Hongkai Xiong, Jiayuan Sun, “Deep learning for detection and diagnosis of intrathoracic lymphadenopathy from endobronchial ultrasound multimodal videos: a multi-center study”, Cell Reports Medicine, 6, 102243, Aug. 2025. 19. Shiyu Liu, Wenrui Dai, Shaohui Li, Ziyang Zheng, Junni Zou, Hongkai Xiong, “Stable Representation Learning via Generalized Learnable Graph Scattering Transform”, IEEE Transactions on Signal Processing (TSP), 2026. 20. Ziyang Zheng, Wenrui Dai, Jingwei Liang, Xinyu Peng, Duoduo Xue, Hongkai Xiong, “Deep Equilibrium Model with Weighted Densely-Connected Iteration Differences for Convergent Image Restoration”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2026. 22. Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guojun Qi, Nicu Sebe, “HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events”, International Journal of Computer Vision (IJCV), vol. 131, pages 2994-3018, Jul. 2023. 23. Duoduo Xue, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Generalized Quantum State Tomography with Hybrid Denoising Priors”, IEEE Transactions on Signal Processing (TSP), vol. 73, pp. 1532-1548, Feb. 2025. 24. Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Ying Chen, Hongkai Xiong, “End-to-End Optimized Image Compression with Deep Gaussian Process Regression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 4, pp. 3770-3785, Apr. 2025. 25. Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Wenrui Dai, Junni Zou, Hongkai Xiong, “MENSA: Multi-Dataset Harmonized Pretraining for Semantic Segmentation”, IEEE Transactions on Multimedia (TMM), vol. 27, pp. 2127-2140, Apr. 2025. 26. Nuowen Kan, Sa Yan, Junni Zou, Wenrui Dai, Xing Gao, Chenglin Li, Hongkai Xiong, “GDPlan: Generative Network Planning via Graph Diffusion Model”, IEEE/ACM Transactions on Networking (TON), vol. 33, no. 4, pp. 1422-1437, Aug. 2025. 27. Shaohui Li, Wenrui Dai, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong, “Learnable Non-uniform Quantization with Sampling-based Optimization for Variable-Rate Learned Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 8, pp. 8314-8329, Aug. 2025. 28. Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Federated Learning Based on Model Discrepancy and Variance Reduction”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 36, no. 6, pp. 10407-10421, June 2025. 29. Shaohui Li, Shuoyu Ma, Wenrui Dai, Nuowen Kan, Fan Cheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 5, pp. 4768-4783, May 2025. 30. Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Weisheng Hu, Hongkai Xiong, “Generative Probabilistic Entropy Modeling with Conditional Diffusion for Learned Image Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. 31. Nuowen Kan, Chenglin Li, Yuankun Jiang, Wenrui Dai, Junni Zou, Hongkai Xiong, “MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. 32. Xin Li, Shaohui Li, Wenrui Dai, Han Li, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong, “Point Cloud Attribute Compression with Geometry-Aware Lifting-Based Multiscale Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. 33. Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks”, IEEE Transactions on Signal Processing (TSP), vol. 72, pp. 2827-2841, June 2024. 34. Qin Yang, Wenxuan Gao, Chenglin Li, Hao Wang, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard, “360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 10, pp. 9979-9996, Oct. 2024. 35. Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “NCGNN: Node-level Capsule Graph Neural Network for Semi-supervised Classification”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 1, pp. 1025-1039, Jan. 2024. 36. Qin Yang, Yuqi Li, Chenglin Li, Hao Wang, Sa Yan, Li Wei, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard, “SVGC-AVA: 360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention”, IEEE Transactions on Multimedia (TMM), vol. 26, pp. 3061-3076, 2024. 37. Kexin Tang, Nuowen Kan, Yuankun, Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation with Heterogeneous QoE Preferences”, IEEE Transactions on Multimedia (TMM), vol. 26, pp. 5340-5357, 2024. 38. Shaohui Li, Wenrui Dai, Yimian Fang, Ziyang Zheng, Wen Fei, Hongkai Xiong, Wei Zhang, “Revisiting Learned Image Compression with Statistical Measurement of Latent Representations”, IEEE Trans. Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 4, pp. 2891-2907, Apr. 2024. 39. Yuehan Xiong, Wenrui Dai, Wen Fei, Shaohui Li, Hongkai Xiong, “Anisotropic Spherical Scattering Networks via Directional Spin Wavelet”, IEEE Transactions on Signal Processing (TSP), vol. 71, pp. 2981-2996, Aug. 2023. 40. Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong, “Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning”, IEEE Transactions on Signal Processing (TSP), vol. 71, pp. 1023-1038, Feb. 2023. 41. Lisha Wang, Chenglin Li, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, “QoE-Driven Adaptive Streaming for Point Clouds”, IEEE Transactions on Multimedia (TMM), vol. 25, pp. 2543-2558, 2023. 42. Yuchen Zhang, Wenrui Dai, Yong Li, Chenglin Li, Junhui Hou, Junni Zou, Hongkai Xiong, “Light Field Compression with Graph Learning and Dictionary-Guided Sparse Coding”, IEEE Transactions on Multimedia (TMM), vol. 25, pp. 3059-3072, 2023. 43. Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Tackling Over-smoothing in Graph Convolutional Networks with EM-based Joint Topology Optimization and Node Classification”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 9, pp. 123-139, Feb. 2023. 44. Shaohui Li, Han Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Learned Progressive Image Compression with Dead-Zone Quantizers”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 33, no. 6, pp. 2962-2978, 2023. 45. Duoduo Xue, Ziyang Zheng, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “On the Convergence of Non-Convex Phase Retrieval with Denoising Priors”, IEEE Transactions on Signal Processing (TSP), vol. 70, pp. 4424-4439, Sep. 2022. 46. Wen Fei, Wenrui Dai*, Chenglin Li, Junni Zou, Hongkai Xiong, “General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 10, pp. 5253-5267, Oct. 2022. 47. Xing Gao, Wenrui Dai*, Chenglin Li, Hongkai Xiong, Pascal Frossard, “iPool-Information-based Pooling in Hierarchical Graph Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 9, pp. 5032-5044, Sep. 2022. 48. Nuowen Kan, Junni Zou, Chenglin Li*, Wenrui Dai, Hongkai Xiong, “RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-degree Video Streaming with Adaptive Prediction and Tiling”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 3, pp. 1607-1623, Mar. 2022. 49. Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado, “VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers”, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 34, no. 2, pp. 996-1010, Feb. 2022. 50. Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard, “Graph Neural Networks With Lifting-based Adaptive Graph Wavelets”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 8, pp. 63-77, Jan. 2022. 51. Shaohui Li, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction”, IEEE Transactions on Signal Processing (TSP), vol. 69, pp. 3117-3131, June 2021. 52. Yangmei Shen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 7, pp. 595-610, Sep. 2021. 53. Yangmei Shen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Multi-Scale Structured Dictionary Learning for 3D Point Cloud Compression”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 7, pp. 2792-2807, Jul. 2021. 54. Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong, “Multi-user Adaptive Video Delivery over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 2, pp. 798-815, Feb. 2021. 55. Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei, “Group Reidentification with Multigrained Matching and Integration”, IEEE Transactions on Cybernetics, vol. 51, no. 3, pp. 1478-1492, Mar. 2021. 56. Xing Gao, Wenrui Dai*, Chenglin Li, Hongkai Xiong, Pascal Frossard, “Multiscale Representation Learning of Graph Data with Node Affinity”, IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 7, pp. 30-44, Jan. 2021. 57. Junni Zou, Chenglin Li, Chengming Liu, Qin Yang, Hongkai Xiong, Eckehard Steinbach, “Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 14, no. 1, pp. 161-176, Jan. 2020. 58. Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng, “PML-LocNet: Improving Object Localization with Prior induced Multi-view Learning Network”, IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 2568-2582, Jan. 2020. 59. Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong, “Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes”, IEEE Transactions on Communications (TCOM), vol. 68, no. 4, pp. 2090-2105, Apr. 2020. 60. Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong, “Iterative Deep Neural Network Quantization with Lipschitz Constraint”, IEEE Transactions on Multimedia (TMM), vol. 22, no. 7, pp. 1874-1888, July 2020. 61. Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Yuan F. Zheng, “Scalable Structured Compressive Video Sampling with Hierarchical Subspace Learning”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 10, pp. 3528-3543, Oct. 2020. 62. Weiyao Lin, Xiaoyi He, Xintong Han, Dong Liu, John See, Junni Zou, Hongkai Xiong, Feng Wu, “Partition-Aware Adaptive Switching Networks for Post-Processing in HEVC”, IEEE Transactions on Multimedia (TMM), vol. 22, no. 11, pp. 2749-2763, Nov. 2020. 63. Yuchen Zhang, Wenrui Dai, Mingxing Xu, Junni Zou, Xiaopeng Zhang, Hongkai Xiong, “Depth Estimation from Light Field Using Graph-Based Structure-Aware Analysis”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 11, pp. 4269-4283, Nov. 2020. 64. Junni Zou, Chenglin Li, Congcong Zhai, Hongkai Xiong, Eckehard Steinbach, “Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach”, IEEE Journal on Selected Areas in Communications (JSAC), vol. 37, no. 7, pp. 1566-1583, July 2019. 65. Junni Zou, Liwan Huang, Xiaofeng Gao, Hongkai Xiong, “Joint Pricing and Decision-Making for Heterogeneous User Demand in Cognitive Radio Networks”, IEEE Transactions on Cybernetics, vol. 49, no. 11, pp. 3873-3886, Nov. 2019. 66. Xiaopeng Zhang, Hongkai Xiong, W. Lin, Q. Tian, “Weak to Strong Detector Learning for Simultaneous Classification and Localization”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 2, pp. 418-432, Feb. 2019. 67. Botao Wang; Junni Zou, Yong Li, Kuanyu Ju, Hongkai Xiong; Y. F. Zheng, “Sparse-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 1, pp. 68-79, Jan. 2019. 68. Guangcan Liu, Yubao Sun, Zhao Zhang, Qingshan Liu, Meng Wang, Hongkai Xiong, “Robust Subspace Clustering with Compressed Data”, IEEE Transactions on Image Processing (TIP), vol. 28, no. 10, pp. 5161-5169, Oct. 2019. 69. Wenrui Dai, Yong Li, Junni Zou, Hongkai Xiong, Yuan F. Zheng, “Fully Decomposable Compressive Sampling with Joint Optimization for Multidimensional Sparse Representation”, IEEE Transactions on Signal Processing (TSP), vol. 66, no. 3, pp. 603-616, Feb. 2018. 70. Chenglin Li, Hongkai Xiong, Junni Zou, Dapeng Wu, “Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast over Wireless Networks”, IEEE Transactions on Multimedia (TMM), vol. 20, no. 2, pp. 361-378, Feb. 2018. 71. Chenglin Li, Toni Laura, Junni Zou, Hongkai Xiong, Frossard Pascal, “Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 7, pp. 1648-1664, July 2018. 72. Chenglin Li, Laura Toni, Junni Zou, Hongkai Xiong, Pascal Frossard, “QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming”, IEEE Transactions on Multimedia (TMM), vol. 20, no. 4, pp. 965-984, Apr. 2018. 73. Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Y. F. Zheng, “Structured Sparse Representation with Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling”, IEEE Transactions on Signal Processing (TSP), vol. 65, no. 19, pp. 5062-5077, Oct. 2017. 74. Xiaopeng Zhang, Hongkai Xiong, W. Zhou, W. Lin, Q. Tian, “Picking Neural Activations for Fine-grained Recognition”, IEEE Transactions on Multimedia (TMM), vol. 19, no. 12, pp. 2736-2750, Dec. 2017. 75. Wenrui Dai, Yangmei Shen, Hongkai Xiong, Xiaoqian Jiang, Junni Zou, David Taubman, “Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding”, IEEE Transactions on Image Processing (TIP), vol. 26, no. 6, pp. 2972-2987, June 2017. 76. Botao Wang; Zhihui Fu; Hongkai Xiong; Y. F. Zheng, “Transductive Video Segmentation on Tree-Structured Model”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 27, no. 5, pp. 922-1005, May 2017. 77. Chuan Wang, Hua Zhang, Liang Yang, Xiaochun Cao, Hongkai Xiong, “Multiple Semantic Matching on Augmented N-partite Graph for Object Co-segmentation”, IEEE Transactions on Image Processing (TIP), vol. 26, no. 12, pp. 5825-5839, Dec. 2017. 78. Botao Wang, Hongkai Xiong, Weiyao Lin, Junni Zou, Yuan F. Zheng, Multitask Learning of Compact Semantic Codebooks for Context-aware Scene Modeling, IEEE Transactions on Image Processing (TIP), vol. 25, no. 11, pp. 5411-5426, Nov. 2016. 79. Wenrui Dai, Yangmei Shen, Xin Tang, Junni Zou, Hongkai Xiong, C. W. Chen, Sparse Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding , IEEE Transactions on Image Processing (TIP), vol. 25, no. 10, pp. 4580-4595, Oct. 2016. 80. Botao Wang, D. Lin, Hongkai Xiong, Y. F. Zheng, “Joint Inference of Objects and Scenes with Efficient Learning of Text-Object-Scene Relations”, IEEE Transactions on Multimedia (TMM), vol. 18, no. 3, pp. 507-520, Mar. 2016. 81. Xiaopeng Zhang, Hongkai Xiong, W. Zhou, Q. Tian, “Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization”, IEEE Transactions on Image Processing (TIP), vol. 25, no. 2, pp. 878-891, Feb. 2016. 82. Wenrui Dai, Hongkai Xiong, J. Wang, S. Cheng, Y. F. Zheng, “Generalized Context Modeling with Multi-Directional Structuring and MDL-based Model Selection for Heterogeneous Data Compression”, IEEE Transactions on Signal Processing (TSP), vol. 63, no. 2, November 1, pp. 5650-5664, Nov. 2015. 83. Junni Zou, Q. Wu, Hongkai Xiong, C. W. Chen, Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks, IEEE Transactions on Signal Processing (TSP), vol. 63, no. 2, pp. 5650-5664, Nov. 2015. 84. Chenglin Li, Hongkai Xiong, Dapeng Wu, “Delay-Rate-Distortion Optimized Rate Control for End-to-end Video Communication over Wireless Channels”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 25, no. 10, pp. 1665-1681, Oct. 2015. 85. Botao Wang, Hongkai Xiong, Jiang X, Y. F. Zheng, Data-driven Hierarchical Structure Kernel for Multiscale Part Based Object Recognition, IEEE Transactions on Image Processing (TIP), vol. 23, no. 4, pp. 1765-1778, Apr. 2014. 86. Wenrui Dai, Hongkai Xiong, Jia Wang, Y. F. Zheng. “Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 2, pp. 541-554, Feb. 2014. 87. Chenglin Li, Dapeng Wu, Hongkai Xiong, “Delay-Power-Rate-Distortion Model for Wireless Video Communication Under Delay and Energy Constraints”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 7, pp. 1170-1183, July 2014. 88. Junni Zou, Q. Wu, Hongkai Xiong, C. W. Chen, “Joint Spectrum and Power Auction with Multiauctioneer and Multibidder in Coded Cooperative Cognitive Radio Networks”, IEEE Transactions on Wireless Communications (TWC), vol. 13, no. 10, pp. 5768-5780, Oct. 2014. 89. Wenrui Dai, Hongkai Xiong, X. Jiang, C. W. Chen, “Structured Set Intra Prediction with Discriminative Learning in Max-Margin Markov Network for High Efficiency Video Coding”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 11, pp. 1941-1956, Nov. 2013. 90. Hongkai Xiong, Zhiming Pan, Xinwei Ye, Chang Wen Chen, “Sparse Spatio-Temporal Representation with Adaptive Regularized Dictionary Learning for Low Bit-Rate Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 4, pp. 710-728, Apr. 2013. 91. Hongkai Xiong, Zheng D, Zhu Q, Wang B, Zheng Y. F. “A Structured Learning-Based Graph Matching Method For Tracking Dynamic Multiple Objects,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 3, pp. 534-548, Mar. 2013. 92. Chenglin Li, Hongkai Xiong, Junni Zou, C. W. Chen, “Distributed Robust Optimization for Scalable Video Multi-Rate Multicast over Wireless Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 22, no. 6, pp. 943-957, Jun. 2012. 93. Hongkai Xiong, L. Zhu, Nannan Ma, Y. Zheng, “Scalable Video Compression Framework with Adaptive Orientational Multiresolution Transform and Nonuniform Directional Filterbank Design”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1085-1099, Aug. 2011. 94. Hongkai Xiong, Yang Xu, Y. Zheng, C. W. Chen, “Priority Belief Propagation based Inpainting Prediction with Tensor Voting Projected Structure in Video Compression,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1115-1129, Aug. 2011. 95. Yongsheng Zhang, Hongkai Xiong, Zhihai He, S. Yu, C. W. Chen, “Reconstruction for Distributed Video Coding: A Context-Adaptive Markov Random Field Approach”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1100-1114, Aug. 2011. 96. Chenglin Li Hongkai Xiong, Junni Zou, Zhihai He, “Joint Source and Flow Optimization for Scalable Video Multi-rate Multicast over Hybrid Wired/Wireless Coded Networks”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 5, pp. 550-564, May 2011. 97. Y. Zhang, Hongkai Xiong, Z. He, S. Yu, C. W. Chen, An Error Resilient Video Coding Scheme Using Embedded Wyner–Ziv Description With Decoder Side Non-Stationary Distortion Modeling, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 4, pp. 498-512, Apr. 2011. 98. Junni Zou, Hongkai Xiong, Chenglin Li, Li Song, Zhihai He, T. Chen, “Prioritized Flow Optimization with Multi-Path and Network Coding Based Routing for Scalable Multirate Multicasting,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 3, pp. 259-273, Mar. 2011. 99. Chenglin Li, Junni Zou, Hongkai Xiong, C. W. Chen, “Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 2, pp. 141-155, Feb. 2011. 100. Zhihai He, Hongkai Xiong, “Transmission Distortion Analysis for Real-Time Video Encoding and Streaming over Wireless Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 16, no. 9, pp. 1051-1062, Sep. 2006.
荣誉及奖励2014 国家杰出青年科学基金获得者 2016 教育部长江学者特聘教授 2017 国家万人计划科技创新领军人才
2024 IEEE Fellow 2025 亚太人工智能学会（AAIA） Fellow 2023 中国电子学会（CIE） 会士 2025 中国计算机学会（CCF） 会士 2025 中国人工智能学会（CAAI） 会士 2018 上海市 青年科技杰出贡献奖 2025 中国电子学会 技术发明奖一等奖（排名第 1） 2025 中国人工智能学会 技术发明奖一等奖（排名第 1） 2022 上海市 科技进步一等奖（排名第 1）
2021 中国电子学会 自然科学一等奖（排名第 1）
2017 上海市 技术发明奖一等奖（排名第 1）
2011 上海市 技术发明奖一等奖（排名第 1）
2025 中国电子学会 博士学位论文激励计划 论文名称：基于深度展开的信号重建理论与成像方法（博士生：郑紫阳，导师：熊红凯） 2023 中国图像图形学会 优秀博士学位论文 论文名称：卷积神经网络模型和结构优化（博士生：徐宇辉，导师：熊红凯）
2018 中国图像图形学会 优秀博士学位论文 论文名称：局部特征理解:模型与应用（博士生：张晓鹏，导师：熊红凯） 2025 中国图像图形学会 博士学位论文激励计划 提名奖 论文名称：基于归一化流的参数高效微调算法研究（博士生：王曜明，导师：熊红凯）
2023 华为最佳创新合作奖 2022 华为云“技术合作年度优秀合作伙伴奖” 2019 华为优秀合作奖
2021 宝钢优秀教师奖 2017 宝钢优秀教师奖
2017 上海市优秀学术带头人 2014 上海市青年科技英才 2013 上海市曙光学者 |
