Fangxin Wang

 

Assistant Professor, Ph.D
School of Science and Engineering,
The Chinese University of Hong Kong, Shenzhen
Office: RA-310, CUHK-Shenzhen
Email: wangfangxin [at] cuhk.edu.cn

About me

Please refer to my homepage at CUHK(SZ). This website will not be maintained.

I am an assistant professor of School of Science and Engineering at The Chinese University of Hongkong, Shenzhen. I received my Ph.D. degree in Computing Science from Simon Fraser University, supervised by Prof. Jiangchuan Liu. Before that, I received my M.Eng. degree in Computer Science and Technology from Tsinghua University, supervised by Prof. Dan Li, and my B.Eng. degree in Network Engineering from Beijing University of Posts and Telecommunications.

News

I am actively looking for self-motivated PhD, MSc, undergraduate students, as well as postdocs to conduct research in areas of computer networking, optimization, deep learning related applications, cloud and edge computing, multimedia system and application, and Internet-of-Things. Please feel free to drop me an email with your CV, transcript and publication (if any).

Research

My research interests include

  • Multimedia System and Applications

  • Cloud and Edge Computing

  • Deep Learning and Big Data Analytics

  • Distributed Networking and System

  • Internet of Things

Selected Publications

  1. Fangxin Wang, Cong Zhang, Feng Wang, Jiangchuan Liu, Yifei Zhu, Haitian Pang, Lifeng Sun, " DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast with Deep Reinforcement Learning ", IEEE/ACM Transactions on Networking (TON), 2020, (CCF-A / JCR-1)

  2. Fangxin Wang, Jiangchuan Liu, Wei Gong, " Multi-Adversarial In-Car Activity Recognition using RFIDs ", IEEE Transactions on Mobile Computing (TMC), 2020, (CCF-A / JCR-1)

  3. Fangxin Wang, Xiaoyi Fan, Feng Wang, Jiangchuan Liu, " Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations ", IEEE Transactions on Mobile Computing (TMC), 2018, (CCF-A / JCR-1)

  4. Fangxin Wang, Feng Wang, Jiangchuan Liu, Ryan Shea, Lifeng Sun, " Intelligent Video Caching at Network Edge: A Multi-Agent Deep Reinforcement Learning Approach ", IEEE INFOCOM, Toronto, Canada (virtual), 2020, (CCF-A)

  5. Fangxin Wang, Cong Zhang, Feng Wang, Jiangchuan Liu, Yifei Zhu, Haitian Pang, Lifeng Sun, " Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE ", IEEE INFOCOM, Paris, France, 2019, (CCF-A)

Full list of publications.