Research members

⏩ Current Postdoc Fellows at HKU

Dr. Yulong Huang (Postdoc Fellow at HKU; Joint PhD degree from CityU & ZJU)

-- Paper 1: "Hedging Newsvendor's Profit Risk with Financial Instruments: A SURPASS Framework," Link to SSRN. Under Major Revision at MS. Funded by a GRF. -- Paper 2: "From Unconfoundedness to Completeness: A PRIME Framework for Contextual Decision-Making under Endogeneity" In a submission to OR.

Dr. Yuan Qu (Postdoc Fellow at HKU; PhD degree from Rutgers Uni.)
Dr. Anbang Liu (Postdoc Fellow at HKU; PhD degree from Tsinghua Uni.)

Dr. Pujun Zhang (Postdoc Fellow at HKU; PhD degree from Tsinghua Uni.)
Dr. Qiusheng Zhao (Postdoc Fellow at HKU; PhD degree from Michigan Uni.)

Dr. Xinyi Hu (Forthcoming Postdoc Fellow at HKU; PhD degree from CUHK)

⏩ Supervised/Co-supervised/Co-authored PhD Students

Jingchuan Chen (graduated, PhD student at HKU, supervisor: Prof. Max Shen; working on smart scheduling-related research projects)

-- Paper in progress: "Flexible worker scheduling and allocation to improve the production rate in serial production lines," Targeting POM

Lingfei Zhong (2022 PhD student at HKU, supervisor: Prof. Max Shen)

Aoran Cheng (2022 PhD student at HKU, supervisor: Prof. Max Shen)

Jiayi Zeng (2023 PhD student at HKU, supervisor: Prof. Max Shen; working on smart retailing-related research projects)

- Paper in progress: "Data-driven promotion optimization: transfer learning quantile and superquantile treatment effects," Targeting MS

Lingyun Zhang (2023 PhD student at HKU, supervisor: Prof. Max Shen; working on smart city-related research projects)

- Paper in progress: "Data-driven electricity management for shared electric motorcycles"

Meiqi Tu (Co-supervise with Prof. Max Shen, 2024 PhD student at HKU, from Tsinghua Uni.)

- Paper 1: "A deep reinforcement learning framework for the real-time airport check-in counter scheduling problem," Under revision at IEEE T-ITS (The algorithm has been implemented in Daxing Airport since 2024)

Dinghan Liu (Co-supervise with Prof. Max Shen, 2024 PhD student at HKU, HKUPS recipient, from Tsinghua Uni.)
Youshan Wang (Co-supervise with Prof. Max Shen, 2024 PhD Student at HKU, from Tsinghua Uni.)
Feier Yan (Co-supervise with Prof. Max Shen, 2025 PhD student, 2025 HKUPS recipient, from Tsinghua Uni.)
Xianqi Cao (Co-supervisor: Prof. Max Shen, 2025 PhD student, HKUPS recipient, from Tsinghua Uni.)

- Paper in progress: "LLM-based cold-start demand prediction with domain adaptation"

Cheng Gu (Co-supervise with Prof. Max Shen, 2025 PhD student, from the CS background at Wuhan Uni.)

⏩ 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-SIRI, 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-SIRI, 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)
Yifei He (RA at HKU, working on smart supply chains; Ongoing MSc student at HKU)
Zeyu Lin (Forthcoming RA at HKU, working on smart scheduling and industrial AI; From Shanghai Jiaotong University)
Jiyuan Li (Forthcoming RA at HKU, working on smart scheduling and industrial AI; From the Israel Institute of Technology)

⏩ 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)

⏩ Co-supervised PhD Students from non-HKU

Yijie Zheng (Research Assistant Professor at PolyU, graduate from CityU and Postdoc from Toronto)

-- Paper supervision: "Preference learning for dynamic assortment and inventory planning," Link to SSRN. Under revision at OR (An Extended Abstract was accepted at the 2025 M&SOM Main Conference)

Yulong Huang (Postdoc at HKU; Joint PhD degree from CityU & ZJU)

-- Paper supervision 1: "Hedging Newsvendor's Profit Risk with Financial Instruments: A SURPASS Framework," Link to SSRN. Under Major Revision at MS. Funded by a GRF. -- Paper supervision 2: "From Unconfoundedness to Completeness: A PRIME Framework for Contextual Decision-Making under Endogeneity" In a submission to OR.

Jindou Luo (Ongoing PhD student at CityU)

Zhe Fu (Ongoing PhD student at CityU)

🙏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:

The current group size is 12.
Working on leveraging traditional and generative AI to support operations decisions in retailing.

2️⃣ Smart Transportation:

The current group size is 9
Working on smart emergency response systems or non-emergency transportation systems

3️⃣ Smart Scheduling:

The current group size is 10.
Working on designing smart scheduling algorithms for large-scale production, manufacturing, and logistics systems.

4️⃣ Supply Chain Analytics:

The current group size is 11.
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.

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