About me
Hi there! I’m Ryan, a second-year Ph.D. student at Heinz College, Carnegie Mellon University, advised by Woody Zhu. My research lies at the intersection of Statistics 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).
Outside of research, I’m an film photography enthusiast, a casual boulderer, and a table tennis player.
You can view my CV here.
📣 News
- Mar 2026: Our [paper] was selected as a finalist for the IISE DAIS Best Student Paper Competition. I am grateful to my advisor Woody and Prof. Nando Fioretto and to all of my amazing coauthors.
- Oct 2025: Won the INFORMS ENRE Best Student Paper Award with our [paper] on robust optimization for power system resilience. Grateful to Woody and Ramteen for their guidance!
- Sept 2025: Co-chairing the INFORMS DMDA workshop 2025 Data Challenge on high-frequncy outage prediction.
- Aug 2025: Attened KDD 2025 Toronto and presented our [paper] on counterfactual fairness.
- May 2025: Attend NSF Workshop on Uncertainty Quantification and Machine Learning for Complex Physical Systems, Chicago. Presented a poster for our [paper].
📄 Publications
- Prince Zizhuang Wang, Shuyi Chen, Jinhao Liang, Ferdinando Fioretto, and Shixiang Zhu. Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making. The Fourteenth International Conference on Learning Representations (ICLR 2026). [arXiv]
🏆 IISE DAIS Best Student Paper Finalist - Shuyi Chen, Ferdinando Fioretto, Feng Qiu, and Shixiang Zhu. Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management. IEEE Transactions on Smart Grid. [arXiv] [poster] [code]
- Shuyi Chen and Shixiang Zhu. 2025. Counterfactual Fairness through Transforming Data Orthogonal to Bias. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025). [arXiv] [code]
- 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] [code]
- 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 (EMNLP 2023), Singapore. [arXiv]
🔬 Working Papers and Preprints
- Shuyi Chen, Shixiang Zhu, and Ramteen Sioshansi. Enhancing Electricity-System Resilience with Adaptive Robust Optimization and Conformal Uncertainty Characterization. Preprint. [arXiv] [poster] [news]
🏆 INFORMS ENRE Best Student Paper Award - Shuyi Chen, Shixiang Zhu, and Ramteen Sioshansi. Large-Scale Resilience Planning for Wildfire-Prone Electricity Systems via Adaptive Robust Optimization.