Hongyu Chen
Ph.D. Candidate
MIT IDSS
Hongyu Chen
Ph.D. Candidate
MIT IDSS
Email: chenhy at mit dot edu
Email: chenhy at mit dot edu
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Ph.D. Candidate
MIT IDSS
Hello and welcome to my homepage! I am currently a fourth-year Ph.D. candidate at MIT, where I am fortunate to be advised by Prof. David Simchi-Levi. I am affiliated with the Institute for Data, Systems, and Society (IDSS) and the Laboratory for Information and Decision Systems (LIDS) Before joining MIT, I obtained my bachelor's degree in statistics and economics (minor) from Peking University.
Hello and welcome to my homepage! I am currently a fourth-year Ph.D. candidate at MIT, where I am fortunate to be advised by Prof. David Simchi-Levi. I am affiliated with the Institute for Data, Systems, and Society (IDSS) and the Laboratory for Information and Decision Systems (LIDS) Before joining MIT, I obtained my bachelor's degree in statistics and economics (minor) from Peking University.
My research focuses on designing efficient, reliable, and responsible data collection schemes in complex environment. I am particularly interested in how generative AI can be used as a data augmentation tool and support smarter, faster, and more cost-effective decision-making.
My research focuses on designing efficient, reliable, and responsible data collection schemes in complex environment. I am particularly interested in how generative AI can be used as a data augmentation tool and support smarter, faster, and more cost-effective decision-making.
Working Papers
Working Papers
[1] Utilizing External Predictions for Data Collection: Joint Optimization of Sampling and Measurement
with Ruicheng Ao and David Simchi-Levi, Under review at Management Science
[1] Utilizing External Predictions for Data Collection: Joint Optimization of Sampling and Measurement
with Ruicheng Ao and David Simchi-Levi, Under review at Management Science
[2] Online Resource Allocation with Average Budget Constraints
with Ruicheng Ao, David Simchi-Levi, and Feng Zhu, Revised and resubmitted to Operations Research
- Finalist for INFORMS Revenue Management and Pricing 2025 Jeff McGill Student Paper Award.
[2] Online Resource Allocation with Average Budget Constraints
with Ruicheng Ao, David Simchi-Levi, and Feng Zhu, Revised and resubmitted to Operations Research
- Finalist for INFORMS Revenue Management and Pricing 2025 Jeff McGill Student Paper Award.
[3] Assortment Display, Price Competition and Fairness in Online Marketplaces
with Hanwei Li, David Simchi-Levi, Michelle Wu, and Weiming Zhu, Major revision at Production and Operations Management
[3] Assortment Display, Price Competition and Fairness in Online Marketplaces
with Hanwei Li, David Simchi-Levi, Michelle Wu, and Weiming Zhu, Major revision at Production and Operations Management
[4] Retailer-Initiated Inventory-Based Financing
with Weiming Zhu, working paper
[4] Retailer-Initiated Inventory-Based Financing
with Weiming Zhu, working paper
Publications
Publications
[1] Switchback Experiments with Surrogate Variables: Estimation and Experimental Design
with David Simchi-Levi, Management Science, 2025
[1] Switchback Experiments with Surrogate Variables: Estimation and Experimental Design
with David Simchi-Levi, Management Science, 2025
[2] Optimal Control for Parallel Queues with a Single Batch Server
with Zizhuo Wang, Operations Research Letters, 2022
[2] Optimal Control for Parallel Queues with a Single Batch Server
with Zizhuo Wang, Operations Research Letters, 2022
[3] Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods
with Minghan Yang, Dong Xu, Zaiwen Wen, and Mengyun Chen, CVPR, 2021
[3] Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods
with Minghan Yang, Dong Xu, Zaiwen Wen, and Mengyun Chen, CVPR, 2021
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