Li ChenglinProfessor

Address:上海市东川路800号电院1号楼304室

Phone:+86 21 34206946

Email:LCL1985@sjtu.edu.cn

Research Center:Institute of Media, Information, and Network

Personal Home Page:http://min.sjtu.edu.cn/lcl/Chenglin_Li.htm

Biography

Chenglin Li is currently a Full Professor with the Department of Electronic Engineering at Shanghai Jiao Tong University.

 

He received the B.S., M.S. and Ph.D. degrees in Electronic Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2007, 2009 and 2015, respectively. From 2011 to 2013, he was with the Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, USA, as a visiting Ph.D. student. Between 2015 and 2017, he was a Postdoctoral Researcher in the Signal Processing Laboratory (LTS4) at Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland. From 2017 to 2018, he was a Senior Researcher in the Chair of Media Technology (LMT) at Technical University of Munich (TUM), Munich, Germany.

 

His current research interests include signal processing of multimedia data, multimedia communications, and machine learning, with particular focus on topics such as model predictive control and reinforcement learning-based adaptive multimedia communication systems, representation learning of non-Euclidean multimedia data (e.g., 360-degree images/videos, and point clouds), theories and applications of reinforcement learning, and distributed and federated learning for large-scale heterogeneous clusters. Within these research fields, he has published over 30 regular papers in IEEE Transactions such as IEEE Transactions on Multimedia and IEEE Transactions on Pattern Analysis and Machine Intelligence, and has presented over 50 conference papers at the prestigious conferences such as ACM Multimedia, CVPR and ICML. He also served as an Area Chair of 2022 ACM International Conference on Multimedia. He was awarded the Microsoft Research Asia (MSRA) Fellow in 2011, the Alexander von Humboldt Research Fellow in 2017, and the ACM Multimedia Top Paper Award in 2022. He became the PI of the Shanghai Rising-Star Program in 2020, and the PI of the Excellent Young Scientists Fund of the National Natural Science Foundation of China in 2021.
Research Areas

Multimedia signal processing and communication, artificial intelligence

ResearchDirection

Chenglin Li is currently a Full Professor with the Department of Electronic Engineering at Shanghai Jiao Tong University.

 

He received the B.S., M.S. and Ph.D. degrees in Electronic Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2007, 2009 and 2015, respectively. From 2011 to 2013, he was with the Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, USA, as a visiting Ph.D. student. Between 2015 and 2017, he was a Postdoctoral Researcher in the Signal Processing Laboratory (LTS4) at Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland. From 2017 to 2018, he was a Senior Researcher in the Chair of Media Technology (LMT) at Technical University of Munich (TUM), Munich, Germany.

 

His current research interests include signal processing of multimedia data, multimedia communications, and machine learning, with particular focus on topics such as model predictive control and reinforcement learning-based adaptive multimedia communication systems, representation learning of non-Euclidean multimedia data (e.g., 360-degree images/videos, and point clouds), theories and applications of reinforcement learning, and distributed and federated learning for large-scale heterogeneous clusters. Within these research fields, he has published over 30 regular papers in IEEE Transactions such as IEEE Transactions on Multimedia and IEEE Transactions on Pattern Analysis and Machine Intelligence, and has presented over 50 conference papers at the prestigious conferences such as ACM Multimedia, CVPR and ICML. He also served as an Area Chair of 2022 ACM International Conference on Multimedia. He was awarded the Microsoft Research Asia (MSRA) Fellow in 2011, the Alexander von Humboldt Research Fellow in 2017, and the ACM Multimedia Top Paper Award in 2022. He became the PI of the Shanghai Rising-Star Program in 2020, and the PI of the Excellent Young Scientists Fund of the National Natural Science Foundation of China in 2021.
Course

ICE 2301 Signals and Systems, Spring 2024

ICE 2301 Signals and Systems, Spring 2023

ICE 2301 Signals and Systems, Spring 2022

ICE7210H Wavelets and Sparse Signal Processing, Autumn 2021

EI015 Signals and Systems, Spring 2021

EI015 Signals and Systems, Spring 2020

EI015 Signals and Systems, Spring 2019

Editorship
  • IEEE member, ACM member
  • Associate Editor: IEEE Transactions on Signal and Information Processing over Networks
  •  青年编委(Youth Editor): 电子学报英文版(Chinese Journal of Electronics)
  • Program Chair: 2025 IEEE Workshop on Multimedia Signal Processing (IEEE MMSP)
  • Open Source and OpenData Co-Chair: 2026 ACM International Conference on Multimedia (ACM MM)
  • 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 Publications

Selected Journal Papers:

[J17] 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,” accepted for publication, IEEE Transactions on Circuits and Systems for Video Technology, 2024.


[J16] 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, vol. 46, no. 2, pp. 1031-1048, Feb. 2024.


[J15] 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, vol. 26, pp. 5340-5357, Mar. 2024.


[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,” IEEE Transactions on Multimedia, vol. 26, pp. 3061-3076, Feb. 2024.


[J13] Lisha Wang, Chenglin Li*, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, “QoE-Driven Adaptive Streaming for Point Clouds,” IEEE Transactions on Multimedia, vol. 25, pp. 2543-2558, Jul. 2023.


[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 (NeurIPS2023), 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)


[C9] Nuowen Kan, Yuankun Jiang, Chenglin Li*, Wenrui Dai, Junni Zou, Hongkai Xiong, “Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning,” ACM International Conference on Multimedia (ACM MM’2022), Lisbon, Portugal, Oct. 2022. (Oral, Top Paper Award, 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 (ICML2021), 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)