Li, Yu-Feng

29 publications

NeurIPS 2025 A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning Zhi Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yu-Feng Li, Xiaoxing Ma

ICLR 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li

NeurIPS 2025 Curriculum Abductive Learning Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang, Zhi-Hua Zhou

CVPR 2025 RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models Haoran Hao, Jiaming Han, Changsheng Li, Yu-Feng Li, Xiangyu Yue

ICML 2025 TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo

ICML 2025 Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li

ICML 2025 Vision-Language Model Selection and Reuse for Downstream Adaptation Hao-Zhe Tan, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo

NeurIPS 2025 X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection Tong Wei, Bo-Lin Wang, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

ICML 2024 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao, Yu-Feng Li, Zhi-Hua Zhou

ICML 2024 DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li

ICML 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li

NeurIPS 2024 Neuro-Symbolic Data Generation for Math Reasoning Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma

ICLR 2024 Realistic Evaluation of Semi-Supervised Learning Algorithms in Open Environments Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li

NeurIPS 2024 Vision-Language Models Are Strong Noisy Label Detectors Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

ICML 2023 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li

NeurIPS 2023 How Re-Sampling Helps for Long-Tail Learning? Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li

ICML 2023 Identifying Useful Learnwares for Heterogeneous Label Spaces Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou

ICML 2023 ODS: Test-Time Adaptation in the Presence of Open-World Data Shift Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li

ICML 2022 Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding Lan-Zhe Guo, Yu-Feng Li

NeurIPS 2022 LOG: Active Model Adaptation for Label-Efficient OOD Generalization Jie-Jing Shao, Lan-Zhe Guo, Xiao-wen Yang, Yu-Feng Li

NeurIPS 2022 Robust Semi-Supervised Learning When Not All Classes Have Labels Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li

NeurIPS 2022 USB: A Unified Semi-Supervised Learning Benchmark for Classification Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

ICML 2021 Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

ICCV 2021 NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li

NeurIPS 2021 STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu

ICML 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou

JMLR 2013 Convex and Scalable Weakly Labeled SVMs Yu-Feng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou

NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison Tianbao Yang, Yu-feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou

AISTATS 2009 Tighter and Convex Maximum Margin Clustering Yu-Feng Li, Ivor W. Tsang, Jame Kwok, Zhi-Hua Zhou