熊红凯，上海交通大学特聘教授，IEEE Fellow，国家杰青，长江学者特聘教授，国家万人计划科技创新领军人才

中国图像与图形学学会理事、中国计算机学会杰出会员、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。

电子工程系教授，计算机科学与工程系兼职教授；曾任致远学院副院长（2018-2020），曾任 IEEE Transactions on Circuits and Systems for Video Technology 编委（2018-2021）。

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）、中国电子学会自然科学一等奖（2021）、上海市技术发明奖一等奖（2 次：2017、2011）；曾经获得宝钢优秀教师奖（2 次：2021、2017）、华为最佳创新合作奖和优秀合作奖（2023、2022、2019）、ACM Multimedia Top Paper Award（2022）、IEEE ICIP Top 5% Award （2024）等；培养学生：入选国家杰青、国家优青、青年长江、万人青年拔尖人才、上海市青年科技启明星、洪堡学者、微软学者，在美国获 NSF Career Award。

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、生物医学信息。共发表SCI、EI论文 360 余篇，含：Nature和Science 子刊、IEEE T-PAMI 等著名SCI期刊论文 120 余篇，IEEE Transactions 著名汇刊长文 100 余 篇（如 IEEE TPAMI 12 篇、IEEE TSP 10 篇、IEEE TIP 9 篇、IEEE TMM 11 篇、IEEE TCSVT 30 篇），顶级国际学术会议 ICML、NeurIPS、ICLR、CVPR 等论文 76 篇；获授权中国发明专利 68 项、授权美国发明专利 7 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；国家科学技术奖励评审专家、香港研究资助委员会评审人。

IEEE Fellow

中国电子学会 会士

中国计算机学会 杰出会员

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)    Associate Editor (编委)    2018-2021

中国图象图形学会 理事

中国图象图形学会 视觉大数据专业委员会 副主任

著作和章节

1、熊红凯, 孙军, 王嘉, 余松煜, 张瑞等著，“数字电视信源编码技术与应用，”电子工业出版社，2012.

2、Wenrui Dai, S. Wang, Hongkai Xiong, X. Jiang. Privacy Preserving Federated Big Data Analysis [M]// In: Srinivasan S. (eds) Guide to Big Data Applications. Studies in Big Data, vol 26. Springer International Publishing, 2018: 49-82.

授权专利

1、戴文睿，曹迈达，李劭辉，李成林，邹君妮，熊红凯，“基于深度高斯过程回归的图像编码、解码以及压缩方法”， 中国发明专利，专利授权号：ZL 202210203902.X，授权日期：2024-12-13

2、戴文睿, 申扬眉，李成林，邹君妮，熊红凯，“一种三维点云上采样方法、系统、设备及介质”，中国发明专利，专利授权号：ZL 202110986829.3，授权日期：2023-11-29

3、戴文睿, 郑紫阳，李成林，邹君妮，熊红凯，“一种图像处理方法、系统、装置及存储介质”，中国发明专利，专利授权号：ZL 202110940469.3，授权日期：2023-11-28

4、戴文睿, 王曜明，刘育辰，李成林，邹君妮，熊红凯，“一种自调整采样优化的图像分类方法、设备及介质”，中国发明专利，专利授权号：ZL 202110931387.2，授权日期：2023-10-7

5、戴文睿,毛志成,徐宇辉,李成林,邹君妮,熊红凯，“保护用户隐私的联邦学习和图像分类方法、系统及终端”，中国发明专利，专利授权号：ZL 202010151109.0，授权日期：2023-10-20

6、戴文睿，袁亮，李劭辉，李成林，邹君妮，熊红凯，“基于上下文重组建模的图像编码、解码方法及压缩方法”, 中国发明专利，专利授权号：ZL 202110940403.4，授权日期：2023-8-31

7、戴文睿，廖列文，李成林，邹君妮，熊红凯，“一种解耦合的网络结构搜索方法、设备及可读存储介质”, 中国发明专利，专利授权号：ZL 2021106092933，授权日期：2023-8-14

8、李成林，刘春苗，戴文睿，邹君妮，熊红凯，“基于神经网络的目标算法拟合方法、终端以及应用”, 中国发明专利，专利授权号：ZL 201911153108.3，授权日期：2023-3-26

9、李成林，杨琴，戴文睿，邹君妮，熊红凯，“旋转等变的图卷积神经网络的球形图像分类方法及系统”, 中国发明专利，专利授权号：ZL 201911330871.9，授权日期：2023-4-21

10、戴文睿，费文，李成林，邹君妮，熊红凯，“一种自适应比特网络量化方法、系统及图像处理方法”, 中国发明专利，专利授权号：ZL 202110323738.1，授权日期：2023-1-17

代表性期刊

1. 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. 
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”, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 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. Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huan, 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Federated Learning Based on Model Discrepancy and Variance Reduction”, accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.

1. Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong, “Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance”, International Conference on Machine Learning (ICML 2024) , Vienna, Austria, July. 2024.
2. Li Ding, Wen Fei, Yuyang Huang, Shuangrui Ding, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “AMPA: Adaptive Mixed Precision Allocation For Low-Bit Integer Training”, International Conference on Machine Learning (ICML 2024) , Vienna, Austria, July. 2024.
3. Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong, “Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation”, International Conference on Machine Learning (ICML 2024) , Vienna, Austria, July. 2024.
4. Hao Zhang, Chenglin Li, Nuowen Kan, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong, “Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach”, Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.
5. Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models”, Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.
6. Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian, “BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation”, International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024. (Spotlight)
7. Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, “Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners”, International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024.
8. Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Frequency-Aware Transformer for Learned Image Compression”, International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024.
9. Han Li, Shaohui Li, Shuangrui Ding, Wenrui Dai, Maida Cao, Chenglin Li, Junni Zou, Hongkai Xiong, “Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation”, European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.
10. Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing”, European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.
11. Bowen Shi, P. Zhao, Z. Wang, Y. Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang, “UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding”, European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.
12. Yuyang Huang, Yabo Chen, Yuchen Liu, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian, “DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models”, European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.
13. Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization”, International Conference on Machine Learning (ICML 2023) , July. 2023.
14. Yuankun Jiang, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Doubly Robust Augmented Transfer for Meta-Reinforcement Learning”, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, Dec. 2023.
15. Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian, “AiluRus: A Scalable ViT Framework for Dense Prediction”, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, Dec. 2023.
16. Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian, “Progressive Compressed Auto-Encoder for Self-supervised Representation Learning”, International Conference on Learning Representations (ICLR 2023), Kigali Rwanda, May 2023.
17. Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization”, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 2023.
18. Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian, “Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition”, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 2023.
19. Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong, “Towards Unsupervised Domain Generalization for Face Anti-Spoofing”, International Conference on Computer Vision 2023 (ICCV 2023), Paris, France, Oct. 2023.
20. Shuangrui Ding, Peisen Zhao, XiaoPeng Zhang, Rui Qian,, Hongkai Xiong, Qi Tian, “Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation”, International Conference on Computer Vision 2023 (ICCV 2023), Paris, France, Oct. 2023.