Xian Yu
Decision Sciences · The Ohio State University
Publications
19
Citations
244
Est. group size
—
Recurring co-author estimate
Active years
13
Publishing since 2014
Xian Yu works in decision sciences, focusing on optimization methods for making decisions under uncertainty, including stochastic programming, distributionally robust optimization (planning that accounts for unknown or shifting probability distributions), and risk-averse decision-making. Applications span transportation systems (traffic signals, ride pooling, campus buses), healthcare logistics, facility location, and reinforcement learning. This research is aimed at helping organizations plan resources and operations reliably when future conditions are uncertain or risky.
Publication output has grown from occasional papers in 2019-2021 to a more active and steady pace in recent years, with a notable increase projected for 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Distributionally robust optimization with multimodal decision-dependent ambiguity sets
Mathematical Programming · 2026
- Reward Redistribution via Gaussian Process Likelihood Estimation
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- Residuals-based Offline Reinforcement Learning
arXiv (Cornell University) · 2026
- Residuals-based Offline Reinforcement Learning
arXiv (Cornell University) · 2026
- Reward Redistribution via Gaussian Process Likelihood Estimation
arXiv (Cornell University) · 2025
- Code and Data Repository for On the Value of Risk-Averse Multistage Stochastic Programming in Capacity Planning
INFORMS journal on computing · 2024
- On the Value of Risk-Averse Multistage Stochastic Programming in Capacity Planning
INFORMS journal on computing · 2024
- Traffic signal control under stochastic traffic demand and vehicle turning via decentralized decomposition approaches
European Journal of Operational Research · 2023
- Resource distribution under spatiotemporal uncertainty of disease spread: Stochastic versus robust approaches
Computers & Operations Research · 2022
- Time window optimization for attended home service delivery under multiple sources of uncertainties
Computers & Operations Research · 2022
- The University of Michigan Implements a Hub-and-Spoke Design to Accommodate Social Distancing in the Campus Bus System Under COVID-19 Restrictions
INFORMS Journal on Applied Analytics · 2022
- Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures
2022 IEEE 61st Conference on Decision and Control (CDC) · 2022
- Integrated Vehicle Routing and Service Scheduling Under Time and Cancellation Uncertainties with Application in Nonemergency Medical Transportation
Service Science · 2021
- On the Value of Multistage Stochastic Facility Location with Risk Aversion
arXiv (Cornell University) · 2021
- Multistage distributionally robust mixed-integer programming with decision-dependent moment-based ambiguity sets
Mathematical Programming · 2020
- arXiv (Cornell University)×6
- Mathematical Programming×2
- Computers & Operations Research×2
- INFORMS journal on computing×2
- IEEE Transactions on Intelligent Transportation Systems×1
- William B. Haskell
Decision Sciences · Purdue University West Lafayette
- Güzi̇n Bayraksan
Decision Sciences · The Ohio State University
- Zedong Peng
Decision Sciences · Purdue University West Lafayette
- Andrew Perrault
Computer Science · The Ohio State University
- Alejandro Murillo-González
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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