Journal publications

1. Distributionally Robust Conditional Quantile Prediction with Fixed Design, Management Science, 2021 (link).
   Joint with Ying Cao, Zuo-Jun (Max) Shen
2. A Practical End-to-End Inventory Management Model with Deep Learning, Management Science, 2022 (link)
   Joint with Yuanyuan Shi, Yongzhi Qi, Chenxin Ma, Rong Yuan, Di Wu, Zuo-Jun (Max) Shen
3. Learning Newsvendor Problem with Intertemporal Dependence and Moderate Non-Stationarities, Production and Operations Management, 2024 (link)
   Joint with Zeyu Zheng, Zuo-Jun (Max) Shen
4. Data-Driven Research in Retail Operations—A review, Naval Research Logistics, 2020 (link)
   Joint with Ho-Yin Mak, Zuo-Jun (Max) Shen

Selected working papers

1. Integrated Conditional Estimation-Optimization, Under revision (link)
   Joint with Paul Grigas, Zuo-Jun (Max) Shen
2. A Learning and Optimization Framework for Personalized Product Design, Under revision (link)
   Joint with Mengxin Wang, Zuo-Jun (Max) Shen
3. Urban Courier: Operational Innovation and Data-driven Coverage-and-Pricing, Under revision (link)
   Joint with Mengxin Wang, Junyu Cao, Zuo-Jun (Max) Shen
4. Distributionally Robust MDP with an Online Updated Ambiguity Set, work in progress
   Joint with Shuo Sun, Zuo-Jun (Max) Shen

Tutorial

1. Integrating prediction/estimation and optimization with applications in operations management, Tutorials in Operations Research, 2022 (link）
   Joint with Zuo-Jun (Max) Shen

Conference and workshop

1. Smart Feasibility Pump: Reinforcement Learning for (Mixed) Integer Programming, ICML 2021 RL for Real Life Workshop, spotlight presentation, submitted to IEEE Conference on Robotics and Automation 2022 for publication (link)
   Joint with Mengxin Wang, Zuo-Jun (Max) Shen