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Ling Dai

Postdoctoral Researcher in City University of Hong Kong

Email: ling.dai@cityu.edu.hk

🎓 Education

2021.08–2025.10：City University of Hong Kong, Doctor of Philosophy, Department of Data Science
2019.08–2021.07：The Chinese University of Hong Kong, Master of Philosophy, Department of Mathematics
2015.09–2019.06：Jilin University, Tang Aoqing Honors Program (Bachelor) in Science, Mathematics
2018.01–2018.05：Georgia Institute of Technology, Exchanging student in the Department of Mathematics

🧠 Research Fields

Robust Optimization, Reinforcement Learning, Inventory Management, Portfolio Problems

📚 Publications

Published Paper

Yu, Z. D., Dai, L., Xu, S. H., Gao, S. Y., and Ho, C. P.. Fast Bellman Updates for Wasserstein Distributionally Robust Markov Decision Processes. 37th Advances in Neural Information Processing Systems (NeurIPS), 2023.

Working Paper

Dai, L., Yu, Z. D., Hanasusanto, G. A., and Ho, C. P.. Constrained Markov Decision Processes under Risk and Ambiguity. Minor Revision at INFORMS Journal on Computing.

Dai, L., Ruan, H. L., Chen, Z., Du, B. S., and Ho, C. P.. Inventory Planning under Demand and Yield Uncertainties: A Doubly Linear Decision Rule Approach. Reject and Resubmit at Production & Operations Management.

Dai, L. and Ho, C. P.. When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? A Simple Perspective. Avaliable Online.