Research members

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

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

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

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

-- Paper supervision 1: "A Semi-parametric Framework for Data-Driven Inventory Management with Financial Hedging," Link to SSRN. Under Major Revision at MS. Funded by a GRF. -- Paper supervision 2: "Proxy matrix-based contextual stochastic optimization under confounding effects," In a submission to OR.

Jingchuan Chen (2021 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

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)

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; the waiting time of customers has been reduced, and the operations have been significantly improved)

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, forthcoming PhD student, 2025 HKUPS recipient, from Tsinghua Uni.)
Xianqi Cao (Co-supervisor: Prof. Max Shen, forthcoming PhD student, 2025 HKUPS recipient, from Tsinghua Uni.)
Cheng Gu (Co-supervise with Prof. Max Shen, forthcoming PhD student, from the CS background at Wuhan Uni.)

⏩ Previous/Ongoing RAs

Runze Zhang (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; 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-year Engineering experience in an AGV company)
Baoxu Li (Forthcoming RA at HKU, working on smart retailing; PhD student from Zhejiang University)
Jianyu Lee (RA at HKU, working on smart retailing; Algorithm Engineering)

⏩ 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:

The current group size is 12.
Working on leveraging traditional and generative AI to support operations decisions in retailing.
Collaboration companies: JD.com, AEON, Link Sphere, and Pengcheng Lab

2️⃣ Smart Transportation:

The current group size is 9
Working on smart emergency response systems or non-emergency transportation systems
Collaboration companies: Amap, Esri, Daxing Airport, and Qianhai-ZY

3️⃣ Smart Scheduling:

The current group size is 10.
Working on designing smart scheduling algorithms for large-scale production, manufacturing, and logistics systems.
Collaboration companies: TCL, HT AGV, Baoneng I&T, Organ Transportation Center, and DML

4️⃣ Supply Chain Analytics:

The current group size is 11.
Working on macro analysis on the supply chain of cutting-edge industries, associated with economic and environmental impacts, as well as resiliency.
Collaboration companies: Amap, Pengcheng Lab

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