Yufeng Li - RankMe

138 papers A* 65A 2B 1Journal 64Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing. CoRR Ming Yang, Zhi Zhou, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2026	J	`jnl`	Robust long-tailed learning under label noise. Frontiers Comput. Sci. Tong Wei, Jiang-Xin Shi, Min-Ling Zhang, Yufeng Li
2026	A*	`conf`	Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models. AAAI Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2026	J	`jnl`	Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning. CoRR Kun-Yang Yu, Zhi Zhou, Shi-Yu Tian, Xiao-Wen Yang, Zi-Yi Jia, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. CoRR Lin-Han Jia, Si-Yu Han, Lan-Zhe Guo, Zhi Zhou, Zhao-Long Li, Yufeng Li, Zhi-Hua Zhou
2025	J	`jnl`	A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning. CoRR Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yufeng Li, Xiaoxing Ma
2025	J	`jnl`	Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights. CoRR Shi-Yu Tian, Zhi Zhou, Wei Dong, Ming Yang, Kun-Yang Yu, Zi-Jian Cheng, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning. CoRR Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Xiaoxing Ma, Yufeng Li
2025	J	`jnl`	Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment. CoRR Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	J	`jnl`	Curriculum Abductive Learning. CoRR Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yufeng Li, Yuan Jiang, Zhi-Hua Zhou
2025	J	`jnl`	FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory. CoRR Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yufeng Li, Xiaoxing Ma
2025	A*	`conf`	Fully Test-time Adaptation for Tabular Data. AAAI Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM. CoRR Zhi Zhou, Kun-Yang Yu, Shi-Yu Tian, Xiao-Wen Yang, Jiang-Xin Shi, Peng-Xiao Song, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	Micro Text Classification Based on Balanced Positive-Unlabeled Learning. CoRR Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Si-Ye Han, Zi-Wen Li, Yufeng Li
2025	J	`jnl`	NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation. CoRR Weiming Wu, Zi-Kang Wang, Jin Ye, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	A*	`conf`	Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. IJCAI Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li
2025	J	`jnl`	Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. CoRR Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li
2025	J	`jnl`	Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks. CoRR Hao-Zhe Tan, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	Realistic Evaluation of TabPFN v2 in Open Environments. CoRR Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	J	`jnl`	Robust semi-supervised learning in open environments. Frontiers Comput. Sci. Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yufeng Li
2025	J	`jnl`	Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models. CoRR Xiao-Wen Yang, Xuan-Yi Zhu, Wen-Da Wei, Dingchu Zhang, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025	J	`jnl`	TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment. CoRR Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2025	A*	`conf`	TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments. ICML Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	A*	`conf`	VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning. EMNLP Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li
2025	A*	`conf`	Vision-Language Model Selection and Reuse for Downstream Adaptation. ICML Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo
2025	J	`jnl`	When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective. CoRR Lin-Han Jia, Si-Yu Han, Wen-Chao Hu, Jie-Jing Shao, Wen-Da Wei, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts. ICML Xiaowen Yang, Wenda Wei, Jie-Jing Shao, Yufeng Li, Zhi-Hua Zhou
2024	A*	`conf`	DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. ICML Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. CoRR Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. KDD Jiang-Xin Shi, Chi Zhang, Tong Wei, Yufeng Li
2024	J	`jnl`	Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. CoRR Jiang-Xin Shi, Chi Zhang, Tong Wei, Yufeng Li
2024	J	`jnl`	Enabling Small Models for Zero-Shot Classification through Model Label Learning. CoRR Jia Zhang, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	Fully Test-time Adaptation for Tabular Data. CoRR Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. AAAI Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li
2024	J	`jnl`	Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2024	J	`jnl`	LAMDA-SSL: a comprehensive semi-supervised learning toolkit. Sci. China Inf. Sci. Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2024	A*	`conf`	LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. IJCAI Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li
2024	J	`jnl`	LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. CoRR Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiaowen Yang, Yi-Xuan Jin, Lan-Zhe Guo, Yufeng Li
2024	A*	`conf`	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. ICML Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li
2024	A*	`conf`	Neuro-Symbolic Data Generation for Math Reasoning. NeurIPS Zenan Li, Zhi Zhou, Yuan Yao, Xian Zhang, Yufeng Li, Chun Cao, Fan Yang, Xiaoxing Ma
2024	J	`jnl`	Neuro-Symbolic Data Generation for Math Reasoning. CoRR Zenan Li, Zhi Zhou, Yuan Yao, Yufeng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
2024	A*	`conf`	Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. ICLR Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2024	A*	`conf`	Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. AAAI Dingchu Zhang, Zhi Zhou, Yufeng Li
2024	J	`jnl`	Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. CoRR Shi-Yu Tian, Zhi Zhou, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li
2024	J	`jnl`	Rts: learning robustly from time series data with noisy label. Frontiers Comput. Sci. Zhi Zhou, Yi-Xuan Jin, Yufeng Li
2024	A*	`conf`	Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
2024	A*	`conf`	Vision-Language Models are Strong Noisy Label Detectors. NeurIPS Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2024	J	`jnl`	Vision-Language Models are Strong Noisy Label Detectors. CoRR Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2024	J	`jnl`	You Only Submit One Image to Find the Most Suitable Generative Model. CoRR Zhi Zhou, Lan-Zhe Guo, Peng-Xiao Song, Yufeng Li
2023	A*	`conf`	Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li
2023	A*	`conf`	How Re-sampling Helps for Long-Tail Learning? NeurIPS Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yufeng Li
2023	J	`jnl`	How Re-sampling Helps for Long-Tail Learning? CoRR Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yufeng Li
2023	A*	`conf`	Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML Lan-Zhe Guo, Zhi Zhou, Yufeng Li, Zhi-Hua Zhou
2023	J	`jnl`	Interactive Reweighting for Mitigating Label Quality Issues. CoRR Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2023	J	`jnl`	Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li
2023	A*	`conf`	ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. ICML Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li
2023	J	`jnl`	Parameter-Efficient Long-Tailed Recognition. CoRR Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li
2022	J	`jnl`	A Survey on Extreme Multi-label Learning. CoRR Tong Wei, Zhen Mao, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2022	A*	`conf`	Active Model Adaptation Under Unknown Shift. KDD Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yufeng Li
2022	A*	`conf`	Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. ICML Lan-Zhe Guo, Yufeng Li
2022	J	`jnl`	LAMDA-SSL: Semi-Supervised Learning in Python. CoRR Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2022	A*	`conf`	LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yufeng Li
2022	—	`conf`	Prototypical Classifier for Robust Class-Imbalanced Learning. PAKDD (2) Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2022	A*	`conf`	Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yufeng Li
2022	J	`jnl`	Robust model selection for positive and unlabeled learning with constraints. Sci. China Inf. Sci. Tong Wei, Hai Wang, Weiwei Tu, Yufeng Li
2022	A*	`conf`	USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 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, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022	J	`jnl`	USB: A Unified Semi-supervised Learning Benchmark. CoRR 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, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2021	A*	`conf`	Abductive Learning with Ground Knowledge Base. IJCAI Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang
2021	A*	`conf`	Dash: Semi-Supervised Learning with Dynamic Thresholding. ICML Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin
2021	J	`jnl`	Dash: Semi-Supervised Learning with Dynamic Thresholding. CoRR Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin
2021	A*	`conf`	Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. AAAI Tao Han, Wei-Wei Tu, Yufeng Li
2021	J	`jnl`	Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2021	A*	`conf`	Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yufeng Li
2021	J	`jnl`	Lightweight Label Propagation for Large-Scale Network Data. IEEE Trans. Knowl. Data Eng. Yufeng Li, De-Ming Liang
2021	A*	`conf`	NGC: A Unified Framework for Learning with Open-World Noisy Data. ICCV Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li
2021	J	`jnl`	NGC: A Unified Framework for Learning with Open-World Noisy Data. CoRR Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li
2021	A*	`conf`	Probabilistic Label Tree for Streaming Multi-Label Learning. KDD Tong Wei, Jiang-Xin Shi, Yufeng Li
2021	J	`jnl`	Prototypical Classifier for Robust Class-Imbalanced Learning. CoRR Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2021	J	`jnl`	Robust Long-Tailed Learning under Label Noise. CoRR Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yufeng Li
2021	A*	`conf`	STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. NeurIPS Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yufeng Li, Shiliang Pu
2021	A*	`conf`	Safe Weakly Supervised Learning. IJCAI Yufeng Li
2021	A*	`conf`	Towards Robust Model Reuse in the Presence of Latent Domains. IJCAI Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu
2021	A*	`conf`	Towards Robust Prediction on Tail Labels. KDD Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang
2021	J	`jnl`	Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yufeng Li, Lan-Zhe Guo, Zhi-Hua Zhou
2020	J	`jnl`	Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE Trans. Neural Networks Learn. Syst. Tong Wei, Yufeng Li
2020	A*	`conf`	Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. ICDM Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu
2020	A*	`conf`	IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. AAAI Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie
2020	A*	`conf`	Learning from Weak-Label Data: A Deep Forest Expedition. AAAI Qian-Wei Wang, Liang Yang, Yufeng Li
2020	J	`jnl`	MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. CoRR Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yufeng Li
2020	A*	`conf`	RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. KDD Lan-Zhe Guo, Zhi Zhou, Yufeng Li
2020	J	`jnl`	Robust Multi-Label Learning with PRO Loss. IEEE Trans. Knowl. Data Eng. Miao Xu, Yufeng Li, Zhi-Hua Zhou
2020	A*	`conf`	Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou
2020	A*	`conf`	Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. ICDM Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou
2020	—	`conf`	Semi-Supervised Graph Embedding via Multi-instance Kernel Learning. BigComp Zhi-Fan Wu, Yufeng Li
2020	A*	`conf`	Semi-Supervised Streaming Learning with Emerging New Labels. AAAI Yong-Nan Zhu, Yufeng Li
2020	J	`jnl`	Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. CoRR Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie
2019	A*	`conf`	Learning Compact Model for Large-Scale Multi-Label Data. AAAI Tong Wei, Yufeng Li
2019	A*	`conf`	Learning for Tail Label Data: A Label-Specific Feature Approach. IJCAI Tong Wei, Wei-Wei Tu, Yufeng Li
2019	A*	`conf`	Partial Label Learning with Unlabeled Data. IJCAI Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou
2019	A*	`conf`	Rapid Performance Gain through Active Model Reuse. IJCAI Feng Shi, Yufeng Li
2019	J	`jnl`	Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
2019	—	`conf`	Robust Semi-supervised Representation Learning for Graph-Structured Data. PAKDD (3) Lan-Zhe Guo, Tao Han, Yufeng Li
2019	J	`jnl`	Safe semi-supervised learning: a brief introduction. Frontiers Comput. Sci. Yufeng Li, De-Ming Liang
2019	A*	`conf`	Towards Automated Semi-Supervised Learning. AAAI Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu
2018	A*	`conf`	A General Formulation for Safely Exploiting Weakly Supervised Data. AAAI Lan-Zhe Guo, Yufeng Li
2018	A*	`conf`	Does Tail Label Help for Large-Scale Multi-Label Learning. IJCAI Tong Wei, Yufeng Li
2018	J	`jnl`	Instance selection method for improving graph-based semi-supervised learning. Frontiers Comput. Sci. Hai Wang, Shao-Bo Wang, Yufeng Li
2018	—	`conf`	Large Margin Graph Construction for Semi-Supervised Learning. ICDM Workshops Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li
2018	A*	`conf`	Learning From Semi-Supervised Weak-Label Data. AAAI Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou
2018	J	`jnl`	Learning safe multi-label prediction for weakly labeled data. Mach. Learn. Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao
2018	A*	`conf`	Lightweight Label Propagation for Large-Scale Network Data. IJCAI De-Ming Liang, Yufeng Li
2018	J	`jnl`	Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2017	A*	`conf`	Learning Safe Prediction for Semi-Supervised Regression. AAAI Yufeng Li, Han-Wen Zha, Zhi-Hua Zhou
2016	A*	`conf`	Graph Quality Judgement: A Large Margin Expedition. IJCAI Yufeng Li, Shao-Bo Wang, Zhi-Hua Zhou
2016	B	`conf`	Instance Selection Method for Improving Graph-Based Semi-supervised Learning. PRICAI Hai Wang, Shao-Bo Wang, Yufeng Li
2016	A	`conf`	Kernelized Matrix Factorization for Collaborative Filtering. SDM Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe
2016	A*	`conf`	Risk Minimization in the Presence of Label Noise. AAAI Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou
2016	A*	`conf`	Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. AAAI Yufeng Li, James T. Kwok, Zhi-Hua Zhou
2015	J	`jnl`	Towards Making Unlabeled Data Never Hurt. IEEE Trans. Pattern Anal. Mach. Intell. Yufeng Li, Zhi-Hua Zhou
2013	J	`jnl`	Convex and Scalable Weakly Labeled SVMs CoRR Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou
2013	J	`jnl`	Convex and scalable weakly labeled SVMs. J. Mach. Learn. Res. Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou
2013	J	`jnl`	Improved Bounds for the Nyström Method With Application to Kernel Classification. IEEE Trans. Inf. Theory Rong Jin, Tianbao Yang, Mehrdad Mahdavi, Yufeng Li, Zhi-Hua Zhou
2013	A*	`conf`	Multi-Label Learning with PRO Loss. AAAI Miao Xu, Yufeng Li, Zhi-Hua Zhou
2012	J	`jnl`	Multi-instance multi-label learning. Artif. Intell. Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li
2012	—	`conf`	Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison. NIPS Tianbao Yang, Yufeng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou
2012	A*	`conf`	Towards Discovering What Patterns Trigger What Labels. AAAI Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou
2011	A*	`conf`	Diversity Regularized Machine. IJCAI Yang Yu, Yufeng Li, Zhi-Hua Zhou
2011	A*	`conf`	Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. AAAI Yufeng Li, Zhi-Hua Zhou
2011	A*	`conf`	Towards Making Unlabeled Data Never Hurt. ICML Yufeng Li, Zhi-Hua Zhou
2010	A*	`conf`	Cost-Sensitive Semi-Supervised Support Vector Machine. AAAI Yufeng Li, James T. Kwok, Zhi-Hua Zhou
2010	J	`jnl`	S4VM: Safe Semi-Supervised Support Vector Machine CoRR Yufeng Li, Zhi-Hua Zhou
2009	—	`conf`	A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
2009	A*	`conf`	Learning instance specific distances using metric propagation. ICML De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou
2009	A*	`conf`	Multi-instance learning by treating instances as non-I.I.D. samples. ICML Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li
2009	A*	`conf`	Semi-supervised learning using label mean. ICML Yufeng Li, James T. Kwok, Zhi-Hua Zhou
2009	A	`conf`	Tighter and Convex Maximum Margin Clustering. AISTATS Yufeng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou
2008	J	`jnl`	MIML: A Framework for Learning with Ambiguous Objects CoRR Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li
2008	J	`jnl`	Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples CoRR Zhi-Hua Zhou, Yu-Yin Sun, Yufeng Li