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About me

Dr. Fangxin Wang is currently an assistant professor, doctoral supervisor, and presidential young scholar of School of Science and Engineering and Future Network of Intelligence Institute at The Chinese University of Hongkong, Shenzhen. He received the Ph.D. degree in Computing Science from Simon Fraser University supervised by Prof. Jiangchuan Liu, M.Eng. degree in Computer Science and Technology from Tsinghua University supervised by Prof. Dan Li, and B.Eng. degree in Network Engineering from Beijing University of Posts and Telecommunications. He leads the Intelligent Network and Multimedia Laboratory of the Chinese University of Hong Kong, Shenzhen, and his research interests include multimedia networks and systems, cloud-edge collaborative computing, deep learning, large models, and edge intelligence. He has published more than 60 papers in top conference journals such as SIGCOMM, TMC, TON, TVCG, INFOCOM, MM, VR, etc., with more than 1,500 citations; he serves as an Associate Editor of IEEE Transactions on Mobile Computing, an associate editor of Digital Communication and Networks, the TPC Chair of IEEE Satellite 2023 and ACM SIGCOMM EMS Workshop, and the Publication Chair of IWQoS 2022 (CCF-B Conference); he won the Second Prize of Guangdong Science and Technology Progress in 2023, was selected for the 2022 China Association for Science and Technology “Young Elite Scientist Sponsorship Program”, and entered the Stanford World's Top 2% Scientists List 2022 and 2023. He has presided over and participated in many NSFC, Ministry of Science and Technology, provincial and municipal and horizontal projects.

Recruiting

(2024.08) I am actively looking for self-motivated PhD, MPhil and undergraduate RA to conduct research in areas of Large Language Model and Edge Intelligence, Multimedia Networking and System, and AI for Neworking.

(2024.08) I am actively looking for postdocs with strong background and academic performance in areas of Large Language Model and Edge Intelligence, Multimedia Networking and System, and AI for Neworking. The gross salary will be more than 320K per year. Please feel free to contact me if you are interested.

Please feel free to drop me an email with your CV, transcript, awards and publications (if any). Note: please make your email subject as [PhD/MPhil/RA/Postdoc Application]Name-School-Major.

Recent News

Research

My research interests include:

• Multimedia Networking and System

• 3D Volumetric Video Delivery and System

• Large Language Model and Edge Intelligence

• AI for Networking

Selected Publications

1. [SIGCOMM] Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang#, "NetLLM: Adapting Large Language Models for Networking", in Proceedings of ACM SIGCOMM, Sydney, Australia, August 4-8, 2024 (CCF-A) [Paper][Code]

2. [TVCG]Zhicheng Liang*, Junhua Liu*, Mallesham Dasari, Fangxin Wang#, "Fumos: Neural Compression and Progressive Refinement for Continuous Point Cloud Video Streaming", Transactions on Visualization and Computer Graphics, vol. 30, no. 5, pp. 2849-2859, 2024 (CCF-A, JCR-Q1) (presented at IEEE VR 2024 and selected to publish at IEEE TVCG)

3. [VR] Junhua Liu, Boxiang Zhu, Fangxin Wang#, Yili Jin, Wenyi Zhang, Zihan Xu, Shuguang Cui, "CaV3: Cache-assisted Viewport Adaptive Volumetric Video Streaming", in Proceedings of IEEE VR, March 25-29, Shanghai, China, 2023 (CCF-A)

4. [TMC] Rongyu Zhang*, Yun Chen*, Chenrui Wu*, Fangxin Wang#, Bo Li, "Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data", to appear in IEEE Transactions on Mobile Computing, 2024 (CCF-A, JCR-Q1)

5. [TMC] Dayou Zhang, Hao Zhu, Kai Shen, Dan Wang, Fangxin Wang#, "DSJA: Distributed Server-driven Joint Route Scheduling and Streaming Adaptation for Multi-Party Realtime Video Streaming", IEEE Transactions on Mobile Computing, vol. 23, no. 7, pp. 7680-7694, 2024 (CCF-A, JCR-Q1)

Full list of publications.

Last update: Oct 2024