My research interests span: Risk Analytics and Robust Optimization, Sequential Decision-Making, and Data Science/AI for Operations Management (especially applications in social good/sustainability). I entertain a strong interest for quantitative methodologies that can help manage the risk, uncertainty and ambiguity for engineering and service systems.
"Dynamic vehicle-battery rebalancing in shared electric micromobility systems: An adaptive distributionally robust target-based approach" (with Zhuojun Liu and Lianmin Zhang), to be submitted, 2026.
"Joint preference estimation and robust optimization" (with Junjie Lei, Yanyu Lu, Erick Delage and Zuo-Jun Max Shen), to be submitted, 2026.
"Bilevel optimization for target-oriented manufacturing-recycling system" (with Yao Gao, Ling Jian and Lianmin Zhang), to be submitted to European Journal of Operational Research, 2026.
"Large-scale non-parametric preference learning via risk comparisons" (with Fei He, Kai Tu and Man-Chung Yue), under review, 2026.
"Optimal partial centralization under decentralized self-selection and processing bottlenecks" (with Xiaobo Li, Yinuo Lin and Lei Xu), under review, Manufacturing & Service Operations Management, 2026.
Accepted for 2025 Durham Early Career Scholars Professional Development Workshop: Operations and Analytics, Supply Chain Management Track
Accepted at 2024 INFORMS MSOM Conference
"The role of mixed discounting in risk-averse sequential decision-making" (with Erick Delage and Shanshan Wang), R&R, Management Science, 2025.
"Adjustable robust disassembly planning and dynamic capacity expansion for reverse supply chain network" (with Yao Gao and Xinbao Liu), under minor revision, OMEGA-International Journal of Management Science, 2026.
"Robust assortment optimization under nested logit model" (with Yicheng Liu and Zizhuo Wang), under 2nd round review, Operations Research Letters, 2026.
"Efficiently computing the quasi-concave envelope with incomplete information" (with Jian Wu, William B. Haskell and Huifu Xu), under 2nd round revision, SIAM Journal on Optimization, 2026.
"Robust data-driven quasi-concave optimization" (with Jian Wu, William B. Haskell and Huifu Xu), INFORMS Journal on Computing, 2026. [Preprint][Code]
"Assortment planning under spectral risk measures" (with Junjie Lei and Zizhuo Wang), European Journal of Operational Research, 2026. [Supplemental Materials][Preprint]
"Preference robust optimization for choice functions on the space of CDFs" (with William B. Haskell and Huifu Xu), SIAM Journal on Optimization, 2022. [Preprint]
"Randomized smoothing variance reduction method for large-scale non-smooth convex optimization" (with Xun Zhang), Operations Research Forum, 2021.[Supplemental Materials]
"Data-driven satisficing measure and ranking", Journal of the Operational Research Society, 2019. [Preprint]
"Contextual and active preference robust optimization" (with Erick Delage and Zuo-Jun Max Shen), Work-in-Progress.
"Online joint pricing and capacity allocation under risk-aware retailer" (with Youxin Wang and Wenhan Lu), Work-in-Progress.
"Subsidy mechanism in manufacturing-recycling system" (with Yao Gao, Ling Jian and Lianmin Zhang), Work-in-Progress.
"Fast convergent risk-aware reinforcement learning" (with Junjie Lei, Dionysios Kalogerias and Zuo-Jun Max Shen), to be submitted to Journal of Machine Learning Research, 2026.
"Target-based semi-amortized dynamic programming for complex crowd evacuation" (with Shijie Pan, Xudong Wu, Jiayu Chen and Qixiu Cheng), to be submitted to Decision Analysis, 2026.
"Adaptive finite-budget training for CVaR risk-aware Q-learning" (with Yifan Wu and Junjie Lei), under review, 2026.
"A unified minimax framework for online non-convex long-term constrained optimization" (with Shijie Pan and Jianyu Xu), under review, Journal of Artificial Intelligence Research, 2026.
"SAFE-AD: Socially-aware field-enhanced reinforcement learning for autonomous driving in interactive traffic" (with Zian Wang, Zejian Deng, Yiming Shu, Jiahui Xu, Yong Wang, Shen Li, Dongpu Cao, Chen Sun), under 2nd round review, Communications in Transportation Research, 2026.
"Shaping sparse rewards in reinforcement learning: A semi-supervised approach" (with Wenyun Li and Chen Sun), IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), 2026.
"DRL-ORA: Distributional reinforcement learning with online epistemic risk adaptation" (with Yupeng Wu, Wenyun Li and Chin Pang Ho), Conference on Uncertainty in Artificial Intelligence (UAI), 2026. [acceptance rate: 30.5%]
"Generalizable trajectory prediction via inverse reinforcement learning with Mamba-Graph architecture" (with Wenyun Li, Zejian Deng and Chen Sun), IEEE Intelligent Vehicles Symposium (IV), 2026. [oral presentation, acceptance rate: 8.5%]
"Online non-convex learning for river pollution source identification" (with Jing Jiang and Xiao Liu), IISE Transactions, 2023. [Supplemental Materials][Preprint]
"Model and reinforcement learning for Markov games with risk preferences" (with Viet Hai Pham and William B. Haskell), AAAI Conference on Artificial Intelligence (AAAI), 2020. [Supplemental Materials][acceptance rate: 20.6%]
"Stochastic approximation for risk-aware Markov decision processes" (with William B. Haskell), IEEE Transactions on Automatic Control, 2020. [Supplemental Materials]
Featured publication selected by IEEE CSS-DES Newsletter
"Risk-aware Q-learning for Markov decision processes" (with William B. Haskell), IEEE Conference on Decision and Control (CDC), 2017.
"Exploiting transitivity structure in online ranking via pairwise comparisons" (with Ethan Hao Feng Lam, Alec Kirkley and Sebastian Morel-Balbi), Work-in-Progress.
"Addressing distributional shift by declaying planning steps in Dyna-Q algorithm" (with Youxin Wang), Work-in-Progress.
"Universal weight manifolds: Meta learning a shared low-dimensional basis for neural network weights” (with Shuliang Liu, Weilei Feng and Yaping Zhao), Work-in-Progress.
"Joint risk and time preference elicitation in inverse reinforcement learning (with Jiaming Lyu and Leon Zehao Jiang), Work-in-Progress.
"Forecast-to-control interfaces for critical spare-parts inventory management'', (with Mingyuan Zhu, Ginger Y. Ke, Shan Dai, Xiaoqiang Cai and Lianmin Zhang), to be submitted to Production and Operations Management, 2026.
"Enhancing resilience in pharmaceutical manufacturing through capacity planning and multi-energy coordination" (with Yaping Zhao, Jushuang Sun and Likun Jia), under review, International Journal of Production Research, 2026.
"Data-and-structure-driven transshipment policy in heterogeneous multi-retailer system" (with Yaping Zhao, Yimo Yan, Weilei Feng, Linhui Fu, Yong-Hong Kuo and Zhen Li), under review, IISE Transactions, 2026.
"Dynamic production scheduling and multi-energy coordination in complex stochastic demand management: A MAPPO-enhanced greedy optimization algorithm" (with with Yaping Zhao, Weilei Feng, Jiarong Li, Likun Jia, Jingsi Huang), under minor revision, ENGINEERING Management, 2026.
"Revenue maximization leveraging positive effect of queue length" (with Zongyou Xu and Junjie Lei), IISE Annual Conference & Expo, 2026. [Preprint]
"Data-driven inventory management for new products: An adjusted Dyna-Q approach with transfer learning" (with Xinye Qu and Longxiao Liu), IEEE International Conference on Automation Science and Engineering (CASE), 2025.
"Towards cyber-physical internet: A systematic review, fundamental model and future perspectives" (with 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, Zuo-Jun Max Shen, Eric Ballot and George Q. Huang), Transportation Research Part E: Logistics and Transportation Review, 2025.
"Stochastic optimization for on-time delivery in high-speed railway meal services: Balancing earliness and tardiness costs" (with Lei Xu, Yaping Zhao, Weilei Feng and Rongsen Jin), Industrial Management & Data Systems, 2025.
short version: "Stochastic scheduling of high-speed railway meal service for on-time delivery" (with Lei Xu, Yaping Zhao, Siqi Ma and Rongsen Jin), Transportation Research Board (TRB) Annual Meeting, 2024.
"Pricing and green promotion decisions in a retailer-owned dual-channel supply chain with multiple manufacturers" (with Yaping Zhao, Endong Xu and Xiaoyun Xu), Cleaner Logistics and Supply Chain, 2023.
"Profit model for electric vehicle rental service: Sensitive analysis and differential pricing strategy" (with Rui Miao, Peng Guo, Qi Li and Bo Zhang), Energy, 2022.
"Profit optimization for milage-based pricing of electric vehicle lease" (with Rui Miao, Qi Li, Peng Guo, Leiyu Mi, Zhiqi Zhang, Jie Zhang and Zhibin Jiang), IEEE Transactions on Engineering Management, 2020.
"System resilience assessment method of urban lifeline system for GIS" (with Mengzhi Ling), Computers, Environment and Urban Systems, 2018.
"Research on lease and sale of electric vehicles based on value engineering" (with Rui Miao, Donghao Pei, Xiyao Gu, Zefeng Li, Jie Zhang, Zhibin Jiang), International Journal of Production Research, 2016.
"RespiraAI: Large model-powered reliable and personalized sleep respiratory therapy assistant" (with Ruiyang Luo and Bo Dai), Work-in-Progress.
PI, "Contextual and active preference robust optimization", Hong Kong RGC General Research Fund 17211325 , 2026/01-2028/12.
PI, "Online adaptive risk-aware epistemic uncertainty quantification in reinforcement learning", HKU Seed Fund for PI Research - Basic Research, 2025/06-2027/06.
PI, "Risk-aware accelerated and variance-reduced reinforcement learning with application in portfolio optimization", NSFC Young Scientist Fund (C Class) 72201224, 2023/01-2025/12, (PI).
PI, "HKU-100 Scholars" Research Start-up Funds, 2022/01-2024/12.
Co-PI, "SynchroHub: cyber-physical internet for synchronizing cross-border logistics hubs in the Greater Bay Area (GBA)", Hong Kong RGC Theme-based Research Scheme T32-707/22-N, 2022/23.
Co-I, "Portfolio optimization based on partial information on risk preferences", Zhejiang Provincial NSFC Research Fund (General Program) LY23G010001, 2023/01-2025/12.
Co-I, "Target based distributionally robust optimization with application to inventory routing problem", NSFC Research Fund (General Program) 72171156, 2022/01-2025/12.
Co-I, "Drawdown risk valuation, hedging and related portfolio selection problems", NSFC Research Fund (General Program) 12171408, 2022/01-2025/12.
Co-I, "Online learning and optimization algorithms under data-scare and non-stationary model scenarios", NSFC Research Fund (Original Exploratory Program) 72150002, 2021/01-2023/12.
Participant, "Practical considerations for large-scale competitive decision making", NUS Young Investigator Award R266000111133, 2017/03-2020/02.
Ad-hoc Reviewer for:
Operations Research, Production and Operations Management; INFORMS Journal on Computing; European Journal of Operational Research; OMEGA-International Journal of Management Science; Transportation Research Part E: Logistics and Transportation Review; International Journal of Production Research; Computational Management Science; Computer & Operations Research; Annals of Operations Research;
Journal of Machine Learning Research; Journal of Artificial Intelligence Research; International Journal of Approximate Reasoning; AAAI Conference on Artificial Intelligence; Conference on Uncertainty in Artificial Intelligence;
IEEE Transactions on Automatic Control; IEEE Transactions on Intelligent Transportation Systems; IEEE Transactions on Engineering Management; IEEE Control Systems Letters; IEEE Conference on Decision and Control; IEEE International Conference on Intelligent Transportation Systems;