Li, Yunfan

19 publications

NeurIPS 2025 Conditional Representation Learning for Customized Tasks Honglin Liu, Chao Sun, Peng Hu, Yunfan Li, Xi Peng

ICCV 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang

ICML 2025 Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning Yiran Wang, Chenshu Liu, Yunfan Li, Sanae Amani, Bolei Zhou, Lin Yang

NeurIPS 2025 Near-Optimal Sample Complexity for Online Constrained MDPs Chang Liu, Yunfan Li, Lin Yang

IJCAI 2025 Probabilistic Multimodal Learning with Von Mises-Fisher Distributions Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng

NeurIPS 2025 Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design Yunfan Li, Eric Liu, Lin Yang

ICML 2024 Image Clustering with External Guidance Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng

NeurIPS 2024 Interactive Deep Clustering via Value Mining Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng

AISTATS 2024 On the Model-Misspecification in Reinforcement Learning Yunfan Li, Lin Yang

ICLR 2024 Test-Time Adaptation Against Multi-Modal Reliability Bias Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng

NeurIPS 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin F. Yang

ICMLW 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin Yang

CVPR 2023 Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng

IJCAI 2023 Incomplete Multi-View Clustering via Prototype-Based Imputation Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

ICML 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang

JMLR 2022 XAI Beyond Classification: Interpretable Neural Clustering Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou

AAAI 2021 Contrastive Clustering Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

CVPR 2021 Partially View-Aligned Representation Learning with Noise-Robust Contrastive Loss Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng

JMLR 2019 Prediction Risk for the Horseshoe Regression Anindya Bhadra, Jyotishka Datta, Yunfan Li, Nicholas G. Polson, Brandon Willard