People

The Wireless Information & Intelligence (WILL) lab conducts research on mobile edge computing, edge intelligence, and decentralized/distributed learning in networked systems. We are interested in novel algorithmic designs and fundamental theoretical insights for these areas, as well as practical mobile applications powered by these techniques to enhance our everyday lives.

Researchers

    Qian Chen

  • Qian Chen (Email: qcheneee [AT] hku.hk, webpage)

  • Postdoctoral researcher, co-supervised with Prof. Kaibin Huang, 10/2023 –

  • Research interest: space-air-ground integrated networks, edge intelligence

  • Previously Ph.D. from Harbin Institute of Technology





PhD/MPhil Students

    Guanqiao Qu

  • Guanqiao Qu (Email: gqqu [AT] eee.hku.hk, webpage)

  • PhD student, 11/2022 –

  • Research interest: Wireless networks, edge intelligence

  • Previously M.S. from Harbin Institute of Technology





    Wei Wei

  • Wei Wei (Email: weiwei2020214906 [AT] gmail.com)

  • PhD student, 10/2023 –

  • Research interest: Wireless networks, edge intelligence, split/federated learning

  • Previously M.S. from Tsinghua University





    Tao Li

  • Tao Li (Email: lthku999 [AT] connect.hku.hk)

  • PhD student, 8/2024 –

  • Research interest: Mobile computing, split/federated learning

  • Previously M.S. from The University of Hong Kong





    Qiyuan Chen

  • Qiyuan Chen (Email: cqynvd [AT] gmail.com)

  • PhD student, 8/2024 –

  • Research interest: Wireless networks, edge intelligence, split/federated learning

  • Previously B.S. from Harbin Institute of Technology, Shenzhen





    Mingxi Li

  • Mingxi Li (Email: u3011918 [AT] connect.hku.hk)

  • PhD student, co-supervised with Prof. Bing Luo, 9/2024 –

  • Research interest: Edge intelligence, on-device large language models

  • Previously B.S. from Wuhan University





    Zhimiao Guo

  • Zhimiao Guo (Email: u3012818 [AT] connect.hku.hk)

  • PhD student, 8/2025 –

  • Research interest: Wireless networks, edge intelligence, split/federated learning

  • Previously B.S. from Harbin Institute of Technology





    Zijun Qin

  • Zijun Qin (Email: zjun.qin [AT] outlook.com)

  • PhD student, 9/2025 –

  • Research interest: Source and channel coding, edge intelligence

  • Previously M.S. from Beijing Institute of Technology





    Xian Wu

  • Xian Wu (Email: infinity25 [AT] connect.hku.hk)

  • PhD student, 9/2025 –

  • Research interest: Reinforcement learning, mobile health

  • Previously B.S. from Tsinghua University





    Jiaxiang Geng

  • Jiaxiang Geng (Email: lelegjx28 [AT] connect.hku.hk)

  • PhD student, 9/2025 –

  • Research interest: Federated learning, Foundation Model, Mobile Edge Computing, Wireless Communication

  • Previously M.S. from Beijing University of Posts and Telecommunications





    Qi Guo

  • Qi Guo (Email: guoqi772100 [AT] connect.hku.hk)

  • Ph.D. student, 3/2026 –

  • Research interest: Edge intelligence, mobile health

  • Previously M.S. from HKU





    Zhuoyi Zhao

  • Zhuoyi Zhao (Email: zhuoyijoeyzhao [AT] connect.hku.hk)

  • Link to Homepage: https://zhuoyijoeyzhao.github.io

  • Ph.D. student, 7/2026 –

  • Research interest: Online Optimization and Control; Distributed Learning; Multi-Agent System

  • Previously M.S. from Northwestern University





Alumni

  • Cong Wu
    Postdoctoral Researcher, 07/2024–2026
    Current position: Full Professor, School of Cyber Science and Engineering, Wuhan University

  • Zheng Lin
    Ph.D. Student, 08/2023–2026
    Current position: Postdoctoral Researcher, Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg

  • Xi Lin
    M.Phil. Student, 09/2024–2026
    Current position: No. 719 Research Institute, China State Shipbuilding Corporation (CSSC)