Ph.D. (Simon Fraser University)

M.Eng (Tsinghua University)

B.Eng (Beijing University of Post and Telecommunication)

Dr. Fangxin Wang is currently an assistant professor, doctoral supervisor, and president's young scholar at the Chinese University of Hong Kong, Shenzhen. He received his doctorate, master's, and bachelor's degrees from Simon Fraser University in Canada, Tsinghua University, and 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 and Sub-Forum 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", was selected for Stanford University's "World’s Top 2% Scientists" for two consecutive years in 2022 and 2023. He has presided over and participated in many NSFC, Ministry of Science and Technology, provincial and municipal and horizontal projects.

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
2. Fangxin Wang, Jiangchuan Liu, Wei Gong, "Multi-Adversarial In-Car Activity Recognition using RFIDs", IEEE Transactions on Mobile Computing (TMC), 2020
3. 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, 2020
4. Fangxin Wang, Feng Wang, Yifei Zhu, Jiangchuan Liu, Xiaoqiang Ma, Xiaoyi Fan, "Car4Pac: Last Mile Parcel Delivery through Intelligent Car Trip Sharing", IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019
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
6. Haitian Pang, Cong Zhang, Fangxin Wang, Jiangchuan Liu, Lifeng Sun, "Towards Low Latency Multi-viewpoint 360 Interactive Video: A Multimodal Deep Reinforcement Learning Approach", IEEE INFOCOM, Paris, France, 2019   
7. Fangxin Wang, Wei Gong, Jiangchuan Liu, "On Spatial Diversity in WiFi-based Human Activity Recognition: A Deep Learning based Approach", IEEE Internet of Things Journal (IOTJ), 2018
8. Haitian Pang, Cong Zhang, Fangxin Wang, Han Hu, Zhi Wang, Jiangchuan Liu, Lifeng Sun, "Optimizing Personalized Interaction Experience in Crowd-Interactive Livecast: A Cloud-Edge Approach", ACM Multimedia 2018
9. Ming Zhu, Dan Li, Fangxin Wang, Anke Li, K.K. Ramakrishnan, Ying Liu, Jianping Wu, Nan Zhu, Xue Liu, "CCDN: Content-Centric Data Center Networks", IEEE/ACM Transactions on Networking (TON), 2016