About Me

Hi there! I’m Shuyi Chen, a first-year Ph.D. student at Heinz College, Carnegie Mellon University, advised by Woody Zhu. My research lies at the intersection of Machine Learning (ML) and Operations Research (OR), with a focus on developing data-driven methods for real-world challenges. I hold a Master’s degree in Information Systems Management from CMU and a B.B.A. in Supply Chain and Logistics Management from the Chinese University of Hong Kong (Shenzhen).

You can view my CV here.

News

• December 2024: Our paper Uncertainty-Aware Robust Learning on Noisy Graphs was accepted by ICASSP 2025.
• October 2024: Two working papers [1] [2] accepted for presentation at INFORMS Workshop on Data Science and Workshop on Data Mining and Design Analysis.
• August 2024: Awarded the INFORMS Student Scholarship by the INFORMS Workshop on Data Science 2024 Program Committee.
• October 2023: Our paper API-Assisted Code Generation for Question Answering on Varied Table Structures was accepted by EMNLP 2023.

Publications and Preprints

• Shuyi Chen, Ferdinando Fioretto, Feng Qiu, and Shixiang Zhu. Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management. Preprint. [arXiv]
• Prince Zizhuang Wang, Jinhao Liang, Shuyi Chen, Ferdinando Fioretto, and Shixiang Zhu. Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making. Preprint. [arXiv]
• Shuyi Chen and Shixiang Zhu. 2024. Counterfactual Fairness through Transforming Data Orthogonal to Bias. Preprint. [arXiv]
• Shuyi Chen, Kaize Ding, and Shixiang Zhu. 2023. Uncertainty-Aware Robust Learning on Noisy Graphs. In 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), India. [arXiv]
• Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, and Daniel Fried. 2023. API-Assisted Code Generation for Question Answering on Varied Table Structures. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore. [arXiv]