⏩ Current Senior Researchers at HKU Research Group (Co-supervision with Prof. Max Shen)
Dr. Yulong Huang (Postdoc Fellow at HKU)
Dr. Qiusheng Zhao (Postdoc Fellow at HKU)
Dr. Xinyi Hu (Postdoc Fellow at HKU)
Dr. Guo Liang (Postdoc Fellow at HKU)
Dr. Yuhang Zhu (Postdoc Fellow at HKU)
Dr. Yundong Feng (Postdoc Fellow at HKU)
Dr. Jian Liang (Postdoc Fellow at HKU)
Dr. Shan Li (Postdoc Fellow at HKU)
Dr. Yifan Li (Postdoc Fellow at HKU)
Dr. Jinyang Jiang (Postdoc Fellow at HKU)
Dr. Genshen Fu (Postdoc Fellow at HKU)
Dr. Kun Chen (Postdoc Fellow at HKU)
Dr. Xiangdong Chen (Postdoc Fellow at HKU)
⏩ Research Group's PhD Students at HKU (Co-Supervision with Prof. Max Shen)
Jingchuan Chen (graduated, 2021 PhD student at HKU)
Jiayi Zeng (2023 PhD student at HKU)
Lingyun Zhang (2023 PhD student at HKU)
Meiqi Tu (2024 PhD student at HKU, from Tsinghua Uni.)
Dinghan Liu (2024 PhD student at HKU, HKUPS recipient, from Tsinghua Uni.)
Youshan Wang (2024 PhD Student at HKU, from Tsinghua Uni.)
Feier Yan (2025 PhD student, 2025 HKUPS recipient, from Tsinghua Uni.)
Xianqi Cao (2025 PhD student, HKUPS recipient, from Tsinghua Uni.)
Cheng Gu (2025 PhD student, from Wuhan Uni.)
Tingyou Pan (2026 PhD student, from the University of Hong Kong, HKPFS recipient)
Taipeng Shang (2026 PhD student, from Tsinghua University, HKUPS recipient)
Junqi Shao (2026 PhD student, from Tsinghua University)
Yunhao Liang (2026 PhD student, from UC Berkeley)
Michael Tong (2026 forthcoming PhD student, from Fudan University)
Huangyi Zheng (2026 forthcoming PhD student, from Tsinghua Uni. & UC Berkeley)
Supervised students under the Summer Research Programme
Yiping Zeng (2026 forthcoming SRP student, from UCLA)
⏩ Co-supervised PhD Students from non-HKU
Yijie Zheng (Research Assistant Professor at PolyU, graduate from CityU and Postdoc from Toronto)
Yulong Huang (Postdoc at HKU; Joint PhD degree from CityU & ZJU)
Jindou Luo (Ongoing PhD student at CityU)
Zhe Fu (Ongoing PhD student at CityU)
⏩ Previous/Ongoing RAs
Runze Zhang (Previous RA at HKU, working on organ transportation; position: PhD student at HKUST)
Hao Yin (Ongoing RA at HKU, working on emergency transportation; PhD student from Tsinghua Uni.)
Ziyuan Gong (Ongoing RA at HKU, working on supply chain analytics; Master from NUS)
Shan Li (Ongoing RA at HKU-SIRI, working on smart manufacturing; PhD student from Shanghai Jiaotong University)
Yunhao Liang (Ongoing RA at HKU, working on smart manufacturing/supply chains; Master from UC Berkeley)
Wenyu He (Ongoing RA at HKU, working on smart transportation/scheduling; graduate from Tsinghua Uni.)
Tiancheng Cai (Ongoing RA at HKU, working on smart scheduling; A few years of Engineering experience in an AGV company)
Baoxu Li (Ongoing RA at HKU, working on smart retailing; PhD student from Zhejiang University)
Jianyu Lee (RA at HKU, working on smart retailing; Algorithm Engineering)
Jiyuan Li (RA at HKU, working on smart scheduling and industrial AI; From the Israel Institute of Technology)
Huilan Wei (RA at HKU-SIRI, working on ML+OR/OM; From Tsinghua University)
Xinchen Lin (Forthcoming RA at HKU, working on AI+OR/OM)
⏩ Mentorship for Undergraduate Students (offering support letters)
Ziteng Xu (Undergraduate study at HKU, joining research meetings for two years; Current position: PhD student at UC Berkeley)
🙏We are searching for talented Ph.D. Students and Research Assistants. Please send me your CV, transcripts, and a brief explanation of research interests. Outstanding RPg candidate can apply Hong Kong PhD Fellowship Scheme (HKPF) and HKU Presidential PhD Scholar Programme (HKU-PS).
We are building research groups of Smart Transportation, Smart Retailing, Smart Scheduling, and Supply Chain Analytics. Welcome to join us.
1️⃣ Smart Retailing:
Working on leveraging traditional and generative AI to support operations decisions in retailing.
2️⃣ Smart Transportation:
Working on smart emergency response systems or non-emergency transportation systems
3️⃣ Smart Scheduling:
Working on designing smart scheduling algorithms for large-scale production, manufacturing, and logistics systems.
4️⃣ Supply Chain Analytics:
exploring and pushing the boundaries of intelligent transformation within the supply chain domain, focusing on the theoretical research and innovative application of Large Language Models (LLMs) in complex supply chain environments.