Publications

You can also find my publications on my Google Scholar profile.

Online Learning and Pricing for Service Systems with Reusable Resources
Huiwen Jia, Cong Shi, Siqian Shen, Operations Research 72 (3), 1203-1241. [PDF]
A Shared Mobility Based Framework for Evacuation Planning and Operations Under Demand Uncertainty
Kati Moug, Huiwen Jia, Siqian Shen, IISE Transactions, 55(10), 971-984, 2023. [PDF]
- Featured in the September 2023 IISE Magazine [Post]
The University of Michigan Implements a Hub-and-Spoke Design to Accommodate Social Distancing in the Campus Bus System under COVID Restrictions
Gongyu Chen, Xinyu Fei, Huiwen Jia, Xian Yu, Siqian Shen, INFORMS Journal on Applied Analytics, 52(6):539-552, 2023. [PDF]
Partner with a Third-Party Delivery Service or Not? – A Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic
Huiwen Jia, Jorge Alberto Ramírez García, Siqian Shen, Cong Shi, Service Science, 14(2), 139-155, 2022. [PDF]
Benders Cut Classification via Support Vector Machines for Two-stage Stochastic Integer Program
Huiwen Jia, Siqian Shen, INFORMS Journal on Optimization, 3(3), 278-297, 2021. [PDF] [data file]
Multi-armed Bandit with Sub-exponential Reward
Huiwen Jia, Cong Shi, Siqian Shen, Operations Research Letters, 49(5), 728-733, 202, 2021. [PDF]
Scenario Grouping and Decomposition Algorithms for Chance-constrained Programs
Yan Deng, Huiwen Jia, Shabbir Ahmed, Jon Lee, Siqian Shen, INFORMS Journal on Computing, 3(2), 757-773, 2020. [PDF] [data file]

Online Learning and Pricing for Network Revenue Management with Reusable Resources
Huiwen Jia, Cong Shi, Siqian Shen, in the Proceedings of Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, 2022.
Online Learning and Pricing with Reusable Resources: Linear Bandit with Sub-exponential Rewards
Huiwen Jia, Cong Shi, Siqian Shen, in the Proceedings of International Conference on Machine Learning 2022 (ICML 2022), Baltimore, MD, 2022.
Context-aware Route Recommendation with Weight Learning through Deep Neural Networks
Huiwen Jia, Hua Chai, Naiqiang Tan, Jun Fang, Xinyue Liu, Zengwei Huo, Yafeng Yin, Siqian Shen, in the Proceedings of American Control Conference (ACC 2020), Denver, CO, 2020.