Academic Staff

Biography

Dr. Wenjie Huang is Research Assistant Professor in Department of Industrial and Manufacturing Systems Engineering and Musketeers Foundation Institute of Data Science, The University of Hong Kong (HKU), recruited by HKU-100 Global Recruitment Exercise. He received B.S. degree in Department of Industrial Engineering from Shanghai Jiao Tong University in 2014, and Ph.D. degree from Department of Industrial Systems Engineering and Management, National University of Singapore (NUS) in 2019, supervised by William B. Haskell. Prior to joining HKU, he held joint postdoc positions at School of Data Science, The Chinese University of Hong Kong, Shenzhen and Group for Research in Decision Analysis (GERAD), Québec, Canada, supervised by Erick Delage and Zizhuo Wang. He serves as reviewer for top journals and conferences, including: Production and Operations Management, INFORMS Journal on Computing, Journal of Machine Learning Research, IEEE Transactions on Automatic Control and AAAI. His research projects are supported by Hong Kong RGC funds, NSFC research funds, NRF Singapore and NUS Young Investigator Award.

Personal website: https://sites.google.com/view/huangwenjie

https://datascience.hku.hk/ 

Research Topics

• Optimization (Continuous, Stochastic, Robust)
• Data-driven (Online) Decision-Making
• Sequential Decision-Making (Dynamic Programming, Reinforcement Learning)
• Applications of the above theory in Operations Management and Smart Society

Selected Publications

1. Lei Xu, Wenjie Huang, Yaping Zhao, Siqi Ma and Rongsen Jin, “Stochastic scheduling of high-speed railway meal service for on-time delivery”, Transportation Research Board (TRB) Annual Meeting, 2024.
2. Wenjie Huang, Jing Jiang and Xiao Liu, “Online non-convex learning for river pollution source identification”, IISE Transactions, 2022.
3. Rui Miao, Peng Guo, Wenjie Huang, Qi Li and Bo Zhang, “Profit model for electric vehicle rental service: sensitive analysis and differential pricing strategy”, Energy, 2022.
4. William B. Haskell, Huifu Xu and Wenjie Huang, “Preference robust optimization for choice functions on the space of CDFs”, SIAM Journal on Optimization, 2022. 
5. Wenjie Huang, Pham Viet Hai and William B. Haskell, “Model and reinforcement learning for Markov games with risk preferences”, AAAI Conference on Artificial Intelligence (AAAI), 2020.
6. Wenjie Huang and William B. Haskell, “Stochastic approximation for risk-aware Markov decision processes”, IEEE Transactions on Automatic Control, 2020.
7. Rui Miao, Qi Li, Wenjie Huang, Peng Guo, Leiyu Mi, Zhiqi Zhang, Jie Zhang and Zhibin Jiang, “Profit optimization for mileage-based pricing of electric vehicle lease”, IEEE Transactions on Engineering Management, 2020.
8. Wenjie Huang, “Data-driven satisficing measure and ranking”, Journal of the Operational Research Society, 2019
9. Wenjie Huang and Mengzhi Ling, “System resilience assessment method of urban lifeline system for GIS”, Computers, Environment and Urban Systems, 2018.
10. Wenjie Huang and William B. Haskell, “Risk-aware Q-learning for Markov decision processes”, IEEE Conference on Decision and Control, 2017.