Robust optimization
Distributionally robust optimization, risk management, and target-based decision making under uncertainty.
HKUST · Industrial Engineering & Decision Analytics
Associate Professor
Associate Director, Center for Aging Science
I study how to make better decisions under uncertainty, with a focus on robust optimization, healthcare operations, and transportation.
I joined the Hong Kong University of Science and Technology in 2015 and became an Associate Professor in 2021. I received my PhD from the National University of Singapore, and my master’s and bachelor’s degrees from Tsinghua University. My work connects optimization methods with operational challenges in practice, including collaborations with hospitals in Hong Kong, Singapore, and mainland China.
About
Industrial Engineering and Decision Analytics, HKUST
Industrial Engineering and Decision Analytics, HKUST
Decision Analytics and Operations, City University of Hong Kong
National University of Singapore
Tsinghua University
Tsinghua University · With honours
HKUST
HKUST
HKUST
Research
From mathematical foundations
to real-world operations.
Distributionally robust optimization, risk management, and target-based decision making under uncertainty.
Appointment systems, elective surgery scheduling, and hospital admission planning.
Routing, ride-sourcing, inventory decisions, and project management.
Related methods Machine learning · Game theory
Research grants ↓Publications
† Alphabetical order, equal contribution.* PhD student or post-doc at the time of initiation.
accepted by Production and Operations Management
accepted by INFORMS Journal on Computing
Management Science, articles in advance
Management Science, articles in advance
Production and Operations Management, 35(5): 1901-1922, 2026
Transportation Research Part E, 193, 103812, 2025
Manufacturing and Service Operations Management, 26(3): 893-910, 2024
Management Science, 70(3): 1394-1409, 2024
Operations Research, 71(1): 378-395, 2023
Operations Research, 69(1): 1-12, 2021
Management Science, 63(2): 566-583, 2017
Transportation Research Part B, 94: 264-284, 2016
Operations Research, 64(1): 186-200, 2016
Operations Research, 63(6): 1452-1467, 2015
Operations Research, 63(3): 660-675, 2015
Operations Research Letters, 42(8): 532-538, 2014
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2918-2929, 2023
under major revision at Management Science
under major revision at Operations Research
under major revision at Manufacturing and Service Operations Management
under major revision at Naval Research Logistics
under review
under review
under review
under review
The Standard (HK), March 2019
Publication details and manuscript statuses follow the August 2026 CV.
Funding
Climate-Adaptive Healthcare Operations: Integrating Artificial Intelligence and Robust Optimization for Urban Resilience
Enhancing classification robustness through satisficing framework
Robust Optimization
Project monitoring and control under uncertainty
Two-stage distributionally robust optimization with binary decisions
Distributionally robust auction design
Data-driven task assignment under uncertainty
Improving healthcare delivery service in Hong Kong
Dynamic appointment scheduling with waiting time targets
Distributionally robust and risk-averse inventory routing under demand uncertainty
Data-driven operating room scheduling in public hospitals
Can fairness survive in competition in supply chain?
Start-up Fund
Algorithmic bias, economic efficiency, and social welfare
Enhancing Hong Kong’s role in sustainable supply chain finance via technology transformation
Robust infrastructure planning for sustainable water development in the Greater Bay Area under demand uncertainty and climate variability
Mitigation strategies and operations in confronting novel infectious disease
Assortment and pricing optimization with customer-centric fairness
The role of supermodularity in robust optimization: Theory and its application in supply chain management
Delivering 21st century healthcare in Hong Kong – Building a quality-and-efficiency driven system
People
Students, postdoctoral fellows & alumni
As of August 2026
PhD student · 2026–present
PhD student · 2026–present
PhD student · 2026–present
PhD student · 2025–present
PhD student · 2024–present
PhD student · 2022–present
Hong Kong PhD Fellowship
MPhil student · 2025–present
MPhil student · 2025–present
Postdoctoral fellow · 2026–present
Postdoctoral fellow · 2025–present
| Name | Years | Position as of August 2026 |
|---|---|---|
| Yihua HeCo-advised with Qian Liu | 2021–2026 | Assistant Professor, Shanghai University of Finance and Economics |
| Chen YangHong Kong PhD Fellowship | 2020–2025 | Assistant Professor, Zhejiang University |
| Yuhan LiuCo-advised with Hai Yang | 2021–2025 | Postdoctoral fellow, HKUST |
| Jun WangCo-advised with Hai Yang | 2021–2025 | Lecturer, Zhejiang Wanli University |
| Nana LiCo-advised with Xiangtong Qi | 2020–2023 | Researcher, Chinese Academy of Sciences |
| Guodong HeCo-advised with Qian Liu | 2019–2023 | Algorithm Engineer, Huawei Technologies Co., Ltd. |
| Xiaojin FuCo-advised with Ying-Ju Chen | 2017–2020 | Researcher, Huawei Noah’s Ark Lab |
| Hao LiCo-advised with Ying-Ju Chen | 2016–2019 | Assistant Professor, University of Science and Technology of China |
| Ho Tak TseungCo-advised with Ho-yin Mak and Ying-Ju Chen | 2014–2017 | Lecturer, Hong Kong Polytechnic University |
Anh Quan NguyenMPhil · 2023–2025
Yuhao YanMPhil · 2022–2024
Ho Yin WanMPhil · 2021–2023
Wing Hei SumMPhil · 2019–2021
Lingyi PanMPhil · 2017–2019
| Name | Years | Position as of August 2026 |
|---|---|---|
| Zheng CuiExcellent Young Scholars (overseas) | 2020–2021 | Assistant Professor, Zhejiang University |
| Yang Zhan | 2019–2020 | Assistant Professor, Nanjing University |
Teaching
Recognition