Research

Selected working papers

Listed in reverse chronological order

• Online Order Fulfillment with Replenishment,
  Zi (Elaine) Ling, Jiashuo Jiang, Linwei Xin [Paper]
  

• Decentralized Multi-product Pricing: Diagonal Dominance, Nash Equilibrium, and Price of Anarchy,
  Boxiao Chen, Jiashuo Jiang, Stefanus Jasin [Paper]
  

• Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control,
  Yaqi Duan, Yichun Hu, Jiashuo Jiang [Paper]
  

• An LP-based Approach for Bilinear Saddle Point Problem with Instance-dependent Guarantee and Noisy Feedback,
  Jiashuo Jiang, Mengxiao Zhang [Paper]
  

• Instance-dependent Sample Complexity for Constrained Markov Decision Process,
  Jiashuo Jiang, Yinyu Ye [Paper]
  

• High-dimensional Linear Bandits with Knapsacks,
  Wanteng Ma, Dong Xia, Jiashuo Jiang [Paper]
  

• Capacity Configuration in Non-Stationary Environments: The Operational Value of Volume Flexibility and Prediction,
  Piao Hu, Jiashuo Jiang, Guodong Lyu, Hao Su [Paper]
  

• Constant Approximation for Network Revenue Management with Markovian-correlated Customer Arrivals,
  Jiashuo Jiang [Paper]
  

• Online Resource Allocation with Stochastic Resource Consumption,
  Jiashuo Jiang, Jiawei Zhang [Paper]
  

Journal Publications

• Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates,
  Congyuan Duan, Wanteng Ma, Jiashuo Jiang, Dong Xia [Paper]
  Journal of American Statistical Association, 2026.

• Adaptive Resolving Methods for Markov Decision Processes with Function Approximations,
  Jiashuo Jiang, Yinyu Ye, Yiming Zong [Paper]
  Operations Research Letter, 2026.

• Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions,
  Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
  Operations Research, 2025.

• Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities,
  Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
  Mathematics of Operations Research, 2025.

• Online Stochastic Optimization with Wasserstein Based Non-stationarity,
  Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang [Paper]
  Management Science, 2024.

• Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack,
  Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
  Operations Research, 2024.

• Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies,
  Boxiao Chen, Jiashuo Jiang, Jiawei Zhang, Zhengyuan Zhou [Paper]
  Management Science, 2023.

• Achieving High Individual Service-Levels without Safety Stock? Optimal Rationing Policy of Pooled Resources,
  Jiashuo Jiang, Shixin Wang, Jiawei Zhang [Paper]
  Operations Research, 2022.

Conference Publications

• Efficiently Solving Discounted MDPs with Predictions on Transition Matrices,
  Lixing Lyu, Jiashuo Jiang, Wang Chi Cheung [Paper]
  The 43rd International Conference on Machine Learning (ICML 2026).

• Learning to Price with Resource Constraints: From Full Information to Machine-learned Prices,
  Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi [Paper]
  The 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025).

• Constant Approximation for Network Revenue Management with Markovian-correlated Customer Arrivals,
  Jiashuo Jiang [Paper]
  The 21st Conference on Web and Internet Economics (WINE 2025).

• Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control,
  Zifan Liu, Xinran Li, Shibo Chen, Gen Li, Jiashuo Jiang, Jun Zhang [Paper]
  The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025).

• Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process,
  Jiashuo Jiang, Yinyu Ye [Paper]
  The 38th Conference on Neural Information Processing Systems (NeurIPS 2024).

• High-dimensional Linear Bandits with Knapsacks,
  Wanteng Ma, Dong Xia, Jiashuo Jiang [Paper]
  The 41st International Conference on Machine Learning (ICML 2024).

• Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities,
  Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
  The 24th ACM Conference on Economics and Computation (EC 2023).

• Non-stationary Bandits with Knapsacks,
  Shang Liu, Jiashuo Jiang, Xiaocheng Li [Paper]
  The 36th Conference on Neural Information Processing Systems (NeurIPS 2022).

• Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack,
  Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
  ACM-SIAM Symposium on Discrete Algorithms (SODA 2022).

Workshop Presentations

• Joint Pricing and Resource Allocation: An Optimal Online-Learning Approach,
  Jianyu Xu, Xuan Wang, Yu-Xiang Wang, Jiashuo Jiang [Paper]
  NeurIPS 2025 Workshop on ML×OR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making.

• Adaptive Resolving Methods for Reinforcement Learning with Function Approximations,
  Jiashuo Jiang, Yinyu Ye, Yiming Zong [Paper]
  NeurIPS 2025 Workshop on ML×OR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making.

• An LP-based Approach for Bilinear Saddle Point Problem with Instance-dependent Guarantee and Noisy Feedback,
  Jiashuo Jiang, Mengxiao Zhang [Paper]
  NeurIPS 2025 Workshop on ML×OR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making.

• Online Scheduling for LLM Inference with KV Cache Constraints,
  Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou [Paper]
  NeurIPS 2024 Workshop on Statistical Frontiers in LLMs and Foundation Models.