| 2025 | ICML | Sounding that Object: Interactive Object-Aware Image to Audio Generation. | Tingle Li, Baihe Huang, Xiaobin Zhuang, Dongya Jia, Jiawei Chen, Yuping Wang, Zhuo Chen, Gopala Anumanchipalli, Yuxuan Wang |
| 2024 | EMNLP | Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing. | Baihe Huang, Hiteshi Sharma, Yi Mao |
| 2024 | ICLR | On Representation Complexity of Model-based and Model-free Reinforcement Learning. | Hanlin Zhu, Baihe Huang, Stuart Russell |
| 2023 | AISTATS | Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition. | Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee |
| 2022 | COLT | Offline Reinforcement Learning with Realizability and Single-policy Concentrability. | Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee |
| 2022 | FOCS | Solving SDP Faster: A Robust IPM Framework and Efficient Implementation. | Baihe Huang, Shunhua Jiang, Zhao Song, Runzhou Tao, Ruizhe Zhang |
| 2022 | ICLR | Towards General Function Approximation in Zero-Sum Markov Games. | Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang |
| 2021 | ICML | FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis. | Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang |