Xian Yu (于弦)
Assistant Professor
Department of Integrated Systems Engineering
The Ohio State University
1971 Neil Ave, Columbus, OH 43210
Email: yu.3610@osu.edu
Hi, I’m Yu (于), Xian (弦). I joined the Department of Integrated Systems Engineering at The Ohio State University as an Assistant Professor in August 2022. I completed my Ph.D. in Operations Research at the University of Michigan in April 2022, where I was advised by Prof. Siqian Shen. My research interests lie in large-scale sequential decision-making under uncertainty, where my research focuses on analyzing special problem structures and deriving efficient algorithms for solving related problems arising in transportation and logistics, supply chain management, and healthcare.
Recent News
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08/2025, new Ph.D. student Yuan Zeng joined our research group. Welcome, Yuan!
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08/2025, Dr. Yu was awarded an Honorable Mention in the Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming in ICSP 2025.
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07/2025, Dr. Yu was invited to serve on the Technical Program Committee of the IFIP Performance 2025 Conference.
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06/2025, Dr. Yu was invited to speak at the 2025 MIP Workshop, International Conference on Continuous Optimization (ICCOPT), and International Conference on Stochastic Programming (ICSP) . Thanks for the invitations!
- 02/2025, Dr. Yu attended the NSF Workshop on the Science of Safe AI at the University of Pennsylvania.
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10/2024, our paper titled “On the Value of Risk-Averse Multistage Stochastic Programming in Capacity Planning” is accepted by and will appear in INFORMS Journal on Computing.
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03/2024, Dr. Beste Basciftci and Dr. Xian Yu have co-organized two sessions at the INFORMS Optimization Society Conference 2024 on “Multi-stage Stochastic Programs” and “Recent Advancements on Optimization under Decision-Dependent Uncertainty”.
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01/2024, new PhD student Minheng Xiao joined our group. Welcome, Minheng!
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10/2023, our group was invited to present at the INFORMS Annual Meeting in Phoenix, Arizona.
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10/2023, our group received an NSF award on “SLES: Safe Distributional-Reinforcement Learning-Enabled Systems: Theories, Algorithms, and Experiments”. [News]
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07/2023, our paper titled “On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures” has been accepted by ICML 2023.
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07/2023, Dr. Yu was invited to serve on the Technical Program Committee of the IFIP Performance 2023 Conference.
- 05/2023, Dr. Yu attended the SIAM Conference on Optimization in Seattle, Washington and gave a talk on “On the Value of Risk-Averse Multistage Stochastic Programming in Capacity Planning”.
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04/2023, our paper “Optimization and Decentralized Algorithms for Traffic Signal Control under Uncertain Travel Demand and Vehicle Turning Ratio” has been accepted in European Journal of Operational Research.
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03/2023, Dr. Yu won First Place in the IISE Pritsker Doctoral Dissertation Award for her dissertation titled “Sequential Optimization Under Uncertainty: Models, Algorithms, and Applications”. The award recognizes outstanding doctoral dissertation research in industrial engineering.
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01/2023, new PhD students Qing (Zoey) Zhu and Huangrong Sun joined our research group. Welcome, Zoey and Huangrong!
- 10/2022, Dr. Yu attended the INFORMS Annual Meeting in Indianapolis, Indiana and gave a talk on “On the Value of Multistage Risk-Averse Stochastic Facility Location with or without Prioritization”.
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07/2022, Dr. Yu attended the seventh International Conference on Continuous Optimization (ICCOPT) conference at Lehigh University in Bethlehem, Pennsylvania, and gave a talk on “On the Value of Multistage Risk-Averse Stochastic Facility Location with or without Prioritization”.
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07/2022, Dr. Yu gave an invited talk on “Multistage Distributionally Robust Mixed-Integer Programming with Decision-Dependent Moment-Based Ambiguity Sets” in the Applied Analytics Lab at Carnegie Mellon University. Thanks for the invitation!