Bayesian Inference with Certifiable Adversarial Robustness. - Matthew Wicker; Luca Laurenti; Andrea Patane; Zhuotong Chen; Zheng Zhang; Marta Kwiatkowska (AISTATS, 2021)

Towards Robust Neural Networks via Close-loop Control. - Zhuotong Chen; Qianxiao Li; Zheng Zhang (ICLR, 2021)

Self-Healing Robust Neural Networks via Closed-Loop Control. - Zhuotong Chen; Qianxiao Li; Zheng Zhang (J. Mach. Learn. Res., 2022)

Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective. - Zhuotong Chen; Qianxiao Li; Zheng Zhang (CoRR, 2023)

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. - Behnam Rahdari; Hao Ding 003; Ziwei Fan 001; Yifei Ma; Zhuotong Chen; Anoop Deoras; Branislav Kveton (WSDM, 2024)

Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularization. - Zhuotong Chen; Fang Liu; Jennifer Zhu; Wanyu Du; Yanjun Qi (CoRR, 2024)

PID Control-Based Self-Healing to Improve the Robustness of Large Language Models. - Zhuotong Chen; Zihu Wang; Yifan Yang; Qianxiao Li; Zheng Zhang (Trans. Mach. Learn. Res., 2024)

Contrastive Learning with Consistent Representations. - Zihu Wang; Yu Wang 167; Zhuotong Chen; Hanbin Hu; Peng Li 001 (Trans. Mach. Learn. Res., 2024)

Self-Healing Robust and Fair Neural Networks via Optimal Control - Zhuotong Chen (2024)

Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator. - Zhuotong Chen; Fang Liu; Xuan Zhu; Yanjun Qi; Mohammad Ghavamzadeh (CoRR, 2025)