Working Papers

• Shuyi Chen, Shixiang Zhu, and Ramteen Sioshansi. Enhancing Electricity-System Resilience with Adaptive Robust Optimization and Conformal Uncertainty Characterization. Minor revision at IEEE Open Access Journal of Power and Energy. [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. To be submitted to European Journal of Operational Research. [arXiv] [poster] [demo]

• Shuyi Chen, Shuai Wang, and Shixiang Zhu. The Price of Looking Ahead: Decision-Focused Learning for Model Predictive Control in Energy Storage. In preparation for conference submission. Earlier version: “Balancing Planning Myopia and Forecast Error: Decision-Focused Sequential Learning.”
  🏆 INFORMS DMDA Workshop Best Paper Finalist (Applied Track)

• Shuyi Chen, Shixiang Zhu, and Ramteen Sioshansi. Rare-Chance-Constrained Resilience Planning for Power Systems under Wildfires and Cascading Hazards. In preparation for journal submission.

Journal Publications

• 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]

Peer-Reviewed Conference Proceedings

• Shuyi Chen*, Wenbin Zhou*, and Shixiang Zhu. Learning Polyhedral Conformal Sets for Robust Optimization. Conference on Neural Information Processing Systems (NeurIPS), 2026. [arXiv]

• Prince Zizhuang Wang, Shuyi Chen, Jinhao Liang, Ferdinando Fioretto, and Shixiang Zhu. Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making. International Conference on Learning Representations (ICLR), 2026. [arXiv]
  🏆 IISE DAIS Track Best Paper Award

• Shuyi Chen and Shixiang Zhu. Counterfactual Fairness through Transforming Data Orthogonal to Bias. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2025. [arXiv] [code]

• Shuyi Chen, Kaize Ding, and Shixiang Zhu. Uncertainty-Aware Robust Learning on Noisy Graphs. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. [arXiv] [poster] [code]
  A short version was accepted by the New Frontiers in Graph Learning Workshop at NeurIPS 2023.

• Yihan Cao*, Shuyi Chen*, Ryan Liu*, Zhiruo Wang, and Daniel Fried. API-Assisted Code Generation for Question Answering on Varied Table Structures. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. [arXiv]