李成林，现任上海交通大学-电子信息与电气工程学院-电子工程系教授，博士生导师。

- 学习及工作经历：分别于2007、2009和2015年获得上海交通大学电子工程学士、硕士和博士学位，于2011-2013年赴美国佛罗里达大学电气与计算机工程系担任访问学者，于2015-2017年赴瑞士洛桑联邦理工大学信号处理实验室担任博士后研究员，于2017-2018年赴德国慕尼黑工业大学多媒体技术实验室担任洪堡学者；

- 主要研究：多媒体信号处理与通信、视频流媒体传输优化、强化及分布式学习；

- 学术论文：发表JSAC、TMM、TPAMI等IEEE Transactions长文30余篇，ICML、CVPR、ACM MM等人工智能、计算机视觉、多媒体领域国际著名会议论文50余篇；

- 技术成果：授权国家发明专利20余项（2017年获中国专利优秀奖）、美国专利3项，应用于海信智能电视、中国移动手机视频通话、腾讯手机浏览器在线视频业务等品牌和示范系统；

- 科研项目：主持国家自然科学基金优秀青年基金1项、面上项目1项、青年项目1项，上海市启明星项目1项，作为上海交通大学负责人参与国家自然科学基金重点项目1项；

- 奖励荣誉：获德国洪堡学者、微软学者、ACM Multimedia Top Paper Award，中国电子学会自然科学一等奖，吴文俊人工智能科技进步二等奖，中国电子学会技术发明二等奖等。

1. 视频流媒体传输优化

2. 多媒体信号的表示学习

3. 深度强化学习

4. 分布式学习

ICE2301 信号与系统（A），英文授课, 2023年春季学期

ICE2301 信号与系统（A），英文授课, 2022年春季学期

ICE7210H 小波与稀疏信号处理，英文授课，2021年秋季学期

EI015 信号与系统（A），英文授课, 2021年春季学期

EI015 信号与系统（A），英文授课, 2020年春季学期

EI015 信号与系统（A），英文授课, 2019年春季学期

• IEEE member, ACM member
• Associate Editor: IEEE Transactions on Signal and Information Processing over Networks
• Area Chair: 2022 ACM International Conference on Multimedia (ACM MM)
• TPC Member: IEEE International Conference on Communications (ICC), IEEE Wireless Communications and Networking Conference (WCNC), ACM International Conference on Multimedia (ACM MM), AAAI Conference on Artificial Intelligence (AAAI), etc.

Selected Journal Papers:

[J16] Yuankun Jiang, Chenglin Li*, Wenrui Dai, Junni Zou, Hongkai Xiong, “Variance Reduced Domain Randomization for Reinforcement Learning with Policy Gradient”, accepted for publication, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

[J14] 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”, accepted for publication, IEEE Transactions on Multimedia, 2023.

[J13] Lisha Wang, Chenglin Li*, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, “QoE-Driven Adaptive Streaming for Point Clouds,” accepted for publication, IEEE Transactions on Multimedia, 2022.

[J12] Nuowen Kan, Junni Zou*, Chenglin Li*, Wenrui Dai, Hongkai Xiong, “RAPT360: Reinforcement Learning-Based Rate Adaptation for 360° Video Streaming with Adaptive Prediction and Tiling,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1607-1623, Mar. 2022.

[J11] 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, vol. 31, no. 2, pp. 798-815, Feb. 2021.

[J10] 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, vol. 14, no. 1, pp. 161-176, 2020.

[J9] Junni Zou, Chenglin Li*, Congcong Zhai, Hongkai Xiong, and Eckehard Steinbach, “Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach,” IEEE Journal on Selected Areas in Communications, vol. 37, no. 7, pp. 1566-1583, Jul. 2019.

[J8] Chenglin Li#*, Laura Toni, Junni Zou, Hongkai Xiong, and Pascal Frossard, “Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 7, pp. 1648-1664, Jul. 2018.

[J7] Chenglin Li#*, Laura Toni, Junni Zou, Hongkai Xiong, and Pascal Frossard, “QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming,” IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 965-984, Apr. 2018.

[J6] Chenglin Li#, Hongkai Xiong, Junni Zou, and Dapeng Wu, “Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast over Wireless Networks,” IEEE Transactions on Multimedia, vol. 20, no. 2, pp. 361-378, Feb. 2018.

[J5] Chenglin Li#, Hongkai Xiong, and 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, vol. 25, no. 10, pp. 1665–1681, Oct. 2015.

[J4] Chenglin Li#, Dapeng Wu, and 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, vol. 24, no. 7, pp. 1170–1183, Jul. 2014.

[J3] Chenglin Li#, Hongkai Xiong, Junni Zou, and Chang Wen Chen, “Distributed Robust Optimization for Scalable Video Multi-Rate Multicast over Wireless Networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 6, pp. 943–957, Jun. 2012.

[J2] Chenglin Li#, Hongkai Xiong, Junni Zou, and Zhihai He, “Joint Source and Flow Optimization for Scalable Video Multi-rate Multicast over HybridWired/Wireless Coded Networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 5, pp. 550–564, May 2011.

[J1] Chenglin Li#, Junni Zou, Hongkai Xiong, and Chang Wen Chen, “Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor Networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 2, pp. 141–155, Feb. 2011.

Selected Conference Papers:

[C11] Yuankun Jiang, Nuowen Kan, Chenglin Li*, Wenrui Dai*, Junni Zou*, Hongkai Xiong, “Doubly Robust Augmented Transfer for Meta-Reinforcement Learning”, Conference on Neural Information Processing Systems (NeurIPS’2023), New Orleans, USA, Dec. 2023. (CCF-A)

[C10] 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. (CCF-A)

[C8] Yuankun Jiang, Chenglin Li*, Wenrui Dai, Junni Zou*, Hongkai Xiong, “Monotonic Robust Policy Optimization with Model Discrepancy,” International Conference on Machine Learning (ICML’2021), July 2021. (CCF-A)

[C7] Nuowen Kan, Chenglin Li*, Caiyi Yang, Wenrui Dai, Junni Zou, Hongkai Xiong, “Uncertainty-Aware Robust Adaptive Video Streaming with Bayesian Neural Network and Model Predictive Control,” ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV’2021), Istanbul, Turkey, Sep. 2021. (CCF-B)

[C6] Lisha Wang, Chenglin Li*, Wenrui Dai, Junni Zou, Hongkai Xiong, “QoE-Driven and Tile-Based Adaptive Streaming for Point Clouds,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2021), Toronto, Canada, Jun. 2021. (CCF-B)

[C5] Haoran Lv, Qin Yang, Chenglin Li*, Wenrui Dai, Junni Zou, Hongkai Xiong, “SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks,” ACM International Conference on Multimedia (ACM MM’2020), Seattle, USA, Oct. 2020. (Oral, CCF-A)

[C4] Qin Yang, Chenglin Li*, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong, “Rotation Equivariant Graph Convolutional Network for Spherical Image Classification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’2020), Seattle, USA, June 2020. (CCF-A)

[C3] Chunmiao Liu, Bowen Shi, Chenglin Li*, Junni Zou, Yingqi Chen, and Hongkai Xiong, “Deep Neural Network-Based Algorithm Approximation via Multivariate Polynomial Regression”, IEEE Global Telecommunications Conference (GLOBECOM), 2019.

[C2] Chenglin Li#*, Pascal Frossard, Hongkai Xiong, and Junni Zou, “Distributed Wireless Video Caching Placement for Dynamic Adaptive Streaming,” ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV’2016), Klagenfurt, Austria, May 2016. (CCF-B)

[C1] Chenglin Li#*, Laura Toni, Pascal Frossard, Hongkai Xiong, and Junni Zou, “Complexity Constrained Representation Selection for Dynamic Adaptive Streaming,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2016), Dec. 2016. (Top 10% Paper Award)