Biography

Dr. Wenjie Huang is Research Assistant Professor in Department of Data and 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 Industrial Engineering and Management, with minor in Economics, from Shanghai Jiao Tong University in 2014, and then Ph.D. degree in Industrial Systems Engineering and Management, from National University of Singapore (NUS) in 2019, supervised by William B. Haskell and Tang Loon Ching. 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), Montréal, Québec, Canada, supervised by Erick Delage and Zizhuo Wang.

He has been acting as the role of PI/Co-PI/Co-I for Hong Kong RGC (GRF and Theme-Based) funds and NSFC (Young Scientist-Type C, General, and Original Exploration) funds. His research was selected as Finalists of 2025 IEEE CASE Best Application Paper Award, feature article by IEEE CSS-DES Newsletter, and presentation at INFORMS MSOM Conference. He is an ad-hoc reviewer/programme committee member for several top journals and conferences including: Operations Research, Journal of Machine Learning Research, IEEE Transactions on Automatic Control, INFORMS Journal on Computing, Production and Operations Management, AAAI, UAI, and IEEE CDC.

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

https://datascience.hku.hk/ 

Research Topics

• Risk Analytics and Robust Optimization
• Sequential Decision-Making
• Data-Driven Decision-Making
• Data Science/AI for Operations Management

Selected Publications and Preprints

1. Yupeng Wu, Wenyun Li, Wenjie Huang and Chin Pang Ho, “DRL-ORA: Distributional reinforcement learning with online epistemic risk adaptation”, arXiv preprint arXiv: 2310.05179v5, 2026.
2. Wenjie Huang, Xiaobo Li, Yinuo Lin and Lei Xu, “Efficiency versus accuracy: The optimal level of decentralization in humanitarian operations for sudden-onset disasters”, Available at SSRN 5053496, 2025.
3. Wenjie Huang, Erick Delage and Shanshan Wang, “The role of mixed discounting in risk-averse sequential decision-making”, Available at SSRN 5013140, 2025.
4. Shijie Pan, Jianyu Xu and Wenjie Huang, “Online non-convex optimization with long-term non-convex constraints”, arXiv preprint arXiv:2311.02426v4, 2025.
5. Jian Wu, William B. Haskell, Wenjie Huang and Huifu Xu, “Efficiently computing the quasi-concave envelope with incomplete information”, under revision, SIAM Journal on Optimization, arXiv preprint arXiv:2008.13309v6, 2026.
6. Jian Wu, William B. Haskell, Wenjie Huang and Huifu Xu, “Robust data-driven quasi-concave optimization”, under 2^nd round review, INFORMS Journal on Computing, arXiv preprint arXiv:2508.19787, 2026.
7. Junjie Lei, Wenjie Huang and Zizhuo Wang, “Assortment planning under spectral risk measures”, European Journal of Operational Research, 2026.
8. Xinye Qu, Longxiao Liu and Wenjie Huang, “Data-driven inventory management for new products: An adjusted Dyna-Q approach with transfer learning”, IEEE International Conference on Automation Science and Engineering (CASE), 2025.
9. Hang Wu, Ming Li, Chenglin Yu, Zhiyuan Ouyang, Kee-hung Lai, Zhiheng Zhao, Shenle Pan, Shuaian Wang, Ray Y. Zhong, Yong-Hong Kuo, Fangni Zhang, Wenjie Huang, Zuo-Jun Max Shen, Eric Ballot and George Q. Huang “Towards cyber-physical internet: A systematic review, fundamental model and future perspectives”, Transportation Research Part E: Logistics and Transportation Review, 2025.
10. Wenjie Huang, Jing Jiang and Xiao Liu, “Online non-convex learning for river pollution source identification”, IISE Transactions, 2023.
11. William B. Haskell, Huifu Xu and Wenjie Huang, “Preference robust optimization for choice functions on the space of CDFs”, SIAM Journal on Optimization, 2022.
12. 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.
13. Wenjie Huang and William B. Haskell, “Stochastic approximation for risk-aware Markov decision processes”, IEEE Transactions on Automatic Control, 2020.
14. Rui Miao, Qi Li, Wenjie Huang, Peng Guo, Leiyu Mi, Zhiqi Zhang, Jie Zhang and Zhibin Jiang, “Profit optimization for milage-based pricing of electric vehicle lease”, IEEE Transactions on Engineering Management, 2020.
15. Wenjie Huang, “Data-driven satisficing measure and ranking”, Journal of the Operational Research Society, 2019.