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About me

Prof. Wang is an assistant professor of School of Science and Engineering and Future Network of Intelligence Institute at The Chinese University of Hongkong, Shenzhen. He leads the Intelligent Networking and Multimedia Lab (INML).

Before joining CUHK-Shenzhen, he was a postdoctoral research fellow at University of British Columbia. He received my 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 entered the Stanford World's Top 2% Scientists List in 2023. He was selected in the 8th Young Elite Scientist Sponsorship Program, CUHKSZ Presidential Young Scholar, and a recipient of SFU Dean's Convocation Medal for Academic Excellence. He is as an associate editor of Transactions on Mobile Computing. He served as the TPC Co-Chair of IEEE Satellite 2023, and TPC members of various top tier conferences.

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: August 2024