Our Staff
About Us
About Us
Dr LI Tan
李檀博士
- tanli@hsu.edu.hk
- (852) 3963 5702
Ph.D. (City University of Hong Kong)
M.Eng. (University of Science and Technology of China)
B.Eng. (Central South University)
Assistant Professor, Department of Computer Science
Associate Director of Big Data Intelligence Centre
Dr. LI Tan is an Assistant Professor in the Department of Computer Science at the Hang Seng University of Hong Kong. She received the Ph.D. degree in Computer Science from City University of Hong Kong (CityU) in 2023. Prior to that, she received the M.Eng. degree in Control Engineering from University of Science and Technology of China (USTC) in 2019, and the B.Eng. degree in Automation from Central South University (CSU) in 2016.
Research Interest
Federated learning, decision optimization, and machine learning for wireless networks
Selected Publications
Journal paper
- Tan Li, Linqi Song. Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks. IEEE Transactions on Cognitive Communications and Networking (TCCN), 2023.
- Tan Li, Linqi Song. Privacy-preserving communication-efficient federated multi-armed bandits. IEEE Journal on Selected Areas in Communications (JSAC), 2022.
- Tan Li, Yuanzhang Xiao, Linqi Song. Integrating Future Smart Home Operation Platform with Demand Side Management via Deep Reinforcement Learning. IEEE Transactions on Green Communications and Networking (TGCN), 2021.
- Tan Li, Congduan Li, Jingjing Luo, Linqi Song. Wireless recommendations for internet of vehicles: Recent advances, challenges, and opportunities. Intelligent and Converged Networks (ICN), 2020
Conference Paper
- Tan Li, Linqi Song. Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty. IEEE Wireless Communications and Networking Conference (WCNC), 2022.
- Tan Li, Linqi Song, Christina Fragouli. Federated recommendation system via differential privacy. IEEE International Symposium on Information Theory (ISIT), 2020.
- Tan Li, Yuanzhang Xiao, Linqi Song. Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2019.
Awards
- Outstanding Academic Performance Award (CityU)
- CityU Institutional Research Tuition Scholarship (RTS)
- Outstanding Graduates Award (Hunan Province)