Lei Feng

203 papers A* 80A 3Journal 115Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
An Invariant Latent Space Perspective on Language Model Inversion.
AAAI
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2026 J jnl
FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning.
CoRR
Ziquan Wang, Haobo Wang, Ke Chen, Lei Feng, Gang Chen
2026 J jnl
Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks.
CoRR
Shuo He, Lang Feng, Qi Wei, Xin Cheng, Lei Feng, Bo An
2026 J jnl
IRNet: Iterative Refinement Network for Noisy Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Lian, Mingyu Xu, Lan Chen, Licai Sun, Bin Liu, Lei Feng, Jianhua Tao
2026 J jnl
Mitigating Mismatch within Reference-based Preference Optimization.
CoRR
Suqin Yuan, Xingrui Yu, Jiyang Zheng, Lei Feng, Dadong Wang, Ivor W. Tsang, Tongliang Liu
2026 J jnl
Online Causal Kalman Filtering for Stable and Effective Policy Optimization.
CoRR
Shuo He, Lang Feng, Xin Cheng, Lei Feng, Bo An
2026 J jnl
PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning.
CoRR
Yu Li, Guangfeng Cai, Shengtian Yang, Han Luo, Shuo Han, Xu He, Dong Li, Lei Feng
2026 J jnl
Phase-Aware Mixture of Experts for Agentic Reinforcement Learning.
CoRR
Shengtian Yang, Yu Li, Shuo He, Yewen Li, Qingpeng Cai, Peng Jiang, Lei Feng
2026 J jnl
Test-Time Attention Purification for Backdoored Large Vision Language Models.
CoRR
Zhifang Zhang, Bojun Yang, Shuo He, Weitong Chen, Wei Emma Zhang, Olaf Maennel, Lei Feng, Miao Xu
2026 J jnl
Variational Rectification Inference for Learning with Noisy Labels.
CoRR
Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2026 J jnl
When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer.
CoRR
Shuqi Liu, Yuzhou Cao, Lei Feng, Bo An, Luke Ong
2025 A* conf
A Closer Look at Backdoor Attacks on CLIP.
ICML
Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng
2025 J jnl
An Invariant Latent Space Perspective on Language Model Inversion.
CoRR
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2025 J jnl
AsyCo: an asymmetric dual-task co-training model for partial-label learning.
Sci. China Inf. Sci.
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
2025 J jnl
Attribute-based Visual Reprogramming for Image Classification with CLIP.
CoRR
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025 A* conf
Attribute-based Visual Reprogramming for Vision-Language Models.
ICLR
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025 J jnl
Correction: Variational Rectification Inference for Learning with Noisy Labels.
Int. J. Comput. Vis.
Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2025 J jnl
Does confidence calibration improve conformal prediction?
Trans. Mach. Learn. Res.
Huajun Xi, Jianguo Huang, Kangdao Liu, Lei Feng, Hongxin Wei
2025 — conf
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.
KDD (2)
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2025 J jnl
Early Stopping Against Label Noise Without Validation Data.
CoRR
Suqin Yuan, Lei Feng, Tongliang Liu
2025 A* conf
Endowing Visual Reprogramming with Adversarial Robustness.
ICLR
Shengjie Zhou, Xin Cheng, Haiyang Xu, Ming Yan, Tao Xiang, Feng Liu, Lei Feng
2025 J jnl
Enhancing Sample Selection by Cutting Mislabeled Easy Examples.
CoRR
Suqin Yuan, Lei Feng, Bo Han, Tongliang Liu
2025 A* conf
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks.
ICML
Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu
2025 J jnl
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses.
CoRR
Yuzhou Cao, Han Bao, Lei Feng, Bo An
2025 A* conf
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models.
ICML
Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng
2025 J jnl
Exploring Weak-to-Strong Generalization for CLIP-based Classification.
CoRR
Jinhao Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu
2025 J jnl
Exploring Weak-to-Strong Generalization for CLIP-based Classification.
Trans. Mach. Learn. Res.
Jinhao Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu
2025 J jnl
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection.
CoRR
Zhijie Deng, Chris Yuhao Liu, Zirui Pang, Xinlei He, Lei Feng, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025 J jnl
Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models.
CoRR
Zhifang Zhang, Jiahan Zhang, Shengjie Zhou, Qi Wei, Shuo He, Feng Liu, Lei Feng
2025 A* conf
Improving Generalization of Deep Neural Networks by Optimum Shifting.
AAAI
Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
2025 A* conf
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack.
AAAI
Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An
2025 A* conf
Instance-dependent Early Stopping.
ICLR
Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu
2025 J jnl
Instance-dependent Early Stopping.
CoRR
Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu
2025 J jnl
Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs.
CoRR
Zongqian Wu, Tianyu Li, Baoduo Xu, Jiaying Yang, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2025 J jnl
LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models.
CoRR
Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang
2025 J jnl
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning.
CoRR
Shuai Feng, Yuxin Ge, Yuntao Du, Mingcai Chen, Chongjun Wang, Lei Feng
2025 J jnl
Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling.
CoRR
Zongqian Wu, Baoduo Xu, Tianyu Li, Zhu Sun, Xiaofeng Zhu, Lei Feng
2025 J jnl
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction.
CoRR
Zesheng Ye, Chengyi Cai, Ruijiang Dong, Jianzhong Qi, Lei Feng, Pin-Yu Chen, Feng Liu
2025 A* conf
Prototype-based Optimal Transport for Out-of-Distribution Detection.
IJCAI
Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng
2025 A* conf
Representation Surgery in Model Merging with Probabilistic Modeling.
ICML
Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An
2025 A* conf
Rethinking Chain-of-Thought from the Perspective of Self-Training.
ICML
Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2025 J jnl
Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective.
CoRR
Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Ming-Kun Xie, Biao Liu, Changwei Wang, Lei Feng, Yuheng Jia, Gang Niu, Masashi Sugiyama, Xin Geng
2025 A* conf
Test-Time Multimodal Backdoor Detection by Contrastive Prompting.
ICML
Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng
2025 J jnl
The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework.
CoRR
Jincheng Huang, Jie Xu, Xiaoshuang Shi, Ping Hu, Lei Feng, Xiaofeng Zhu
2025 J jnl
TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models.
CoRR
Zhifang Zhang, Qiqi Tao, Jiaqi Lv, Na Zhao, Lei Feng, Joey Tianyi Zhou
2025 — conf
Towards Reverse Engineering of Language Models: A Survey.
EMNLP (Findings)
Xinpeng Ti, Wentao Ye, Zhifang Zhang, Junbo Zhao, Chang Yao, Lei Feng, Haobo Wang
2025 A* conf
Towards Robust Incremental Learning Under Ambiguous Supervision.
IJCAI
Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao
2025 J jnl
Towards Robust Incremental Learning under Ambiguous Supervision.
CoRR
Rui Wang, Mingxuan Xia, Chang Yao, Lei Feng, Junbo Zhao, Gang Chen, Haobo Wang
2025 A* conf
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts.
ICML
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025 J jnl
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts.
CoRR
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025 J jnl
Variational Rectification Inference for Learning with Noisy Labels.
Int. J. Comput. Vis.
Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2025 J jnl
What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
CoRR
Ming-Kun Xie, Jiahao Xiao, Gang Niu, Lei Feng, Zhiqiang Kou, Min-Ling Zhang, Masashi Sugiyama
2024 A* conf
A General Framework for Learning from Weak Supervision.
ICML
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A General Framework for Learning from Weak Supervision.
CoRR
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning.
CoRR
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
2024 J jnl
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.
CoRR
Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu
2024 J jnl
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection.
CoRR
Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng
2024 A* conf
Bayesian-guided Label Mapping for Visual Reprogramming.
NeurIPS
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024 J jnl
Bayesian-guided Label Mapping for Visual Reprogramming.
CoRR
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024 A* conf
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning.
ICLR
Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
2024 A* conf
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
ICML
Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng
2024 J jnl
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
CoRR
Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng
2024 A conf
Consistent Hierarchical Classification with A Generalized Metric.
AISTATS
Yuzhou Cao, Lei Feng, Bo An
2024 A* conf
Consistent Multi-Class Classification from Multiple Unlabeled Datasets.
ICLR
Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
2024 J jnl
Correction: Learning sample-aware threshold for semi-supervised learning.
Mach. Learn.
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
2024 A* conf
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning.
CVPR
Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng
2024 J jnl
Debiased Sample Selection for Combating Noisy Labels.
CoRR
Qi Wei, Lei Feng, Haobo Wang, Bo An
2024 J jnl
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning.
CoRR
Zhifang Zhang, Shuo He, Bingquan Shen, Lei Feng
2024 J jnl
Does Confidence Calibration Help Conformal Prediction?
CoRR
Huajun Xi, Jianguo Huang, Lei Feng, Hongxin Wei
2024 J jnl
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.
CoRR
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2024 J jnl
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network.
CoRR
Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu
2024 A* conf
Early Stopping Against Label Noise Without Validation Data.
ICLR
Suqin Yuan, Lei Feng, Tongliang Liu
2024 A* conf
Exploiting Human-AI Dependence for Learning to Defer.
ICML
Zixi Wei, Yuzhou Cao, Lei Feng
2024 J jnl
Exploiting counter-examples for active learning with partial labels.
Mach. Learn.
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
2024 J jnl
Improving Generalization of Deep Neural Networks by Optimum Shifting.
CoRR
Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
2024 A* conf
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios.
CVPR
Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu
2024 — conf
Learning Geometry-Aware Representations for New Intent Discovery.
ACL (1)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
2024 J jnl
Learning sample-aware threshold for semi-supervised learning.
Mach. Learn.
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
2024 A* conf
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading.
KDD
Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024 J jnl
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading.
CoRR
Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024 A* conf
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.
ICML
Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei
2024 J jnl
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.
CoRR
Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei
2024 A conf
Mitigating Underfitting in Learning to Defer with Consistent Losses.
AISTATS
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
2024 J jnl
Multiple-instance Learning from Triplet Comparison Bags.
ACM Trans. Knowl. Discov. Data
Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang
2024 J jnl
On the Robustness of Average Losses for Partial-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2024 J jnl
On the Value of Head Labels in Multi-Label Text Classification.
ACM Trans. Knowl. Discov. Data
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen
2024 A* conf
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.
ICLR
Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
2024 J jnl
Online binary classification from similar and dissimilar data.
Mach. Learn.
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
2024 J jnl
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2024 A* conf
Positive and Unlabeled Learning with Controlled Probability Boundary Fence.
ICML
Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang
2024 A* conf
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation.
CVPR
Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao
2024 J jnl
Prototype-based Optimal Transport for Out-of-Distribution Detection.
CoRR
Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng
2024 J jnl
Rethinking Chain-of-Thought from the Perspective of Self-Training.
CoRR
Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng
2024 A* conf
Robust Node Classification on Graph Data with Graph and Label Noise.
AAAI
Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
2024 A* conf
Sample-specific Masks for Visual Reprogramming-based Prompting.
ICML
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024 J jnl
Sample-specific Masks for Visual Reprogramming-based Prompting.
CoRR
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024 A* conf
Targeted Representation Alignment for Open-World Semi-Supervised Learning.
CVPR
Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang
2024 A* conf
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.
ICML
Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu
2024 J jnl
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.
CoRR
Jinhao Li, Haopeng Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu
2024 J jnl
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.
CoRR
Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An
2023 A* conf
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
AAAI
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023 J jnl
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
CoRR
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023 A* conf
A Universal Unbiased Method for Classification from Aggregate Observations.
ICML
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
2023 J jnl
A Universal Unbiased Method for Classification from Aggregate Observations.
CoRR
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
2023 A* conf
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning.
NeurIPS
Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao
2023 A* conf
Binary Classification with Confidence Difference.
NeurIPS
Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2023 J jnl
Binary Classification with Confidence Difference.
CoRR
Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2023 J jnl
COMET: Convolutional Dimension Interaction for Collaborative Filtering.
ACM Trans. Intell. Syst. Technol.
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
2023 A* conf
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning.
ICCV
Shuo He, Guowu Yang, Lei Feng
2023 A conf
Consistent Complementary-Label Learning via Order-Preserving Losses.
AISTATS
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
2023 J jnl
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning.
CoRR
Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng
2023 J jnl
DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning.
CoRR
Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao
2023 J jnl
Deep Learning From Multiple Noisy Annotators as A Union.
IEEE Trans. Neural Networks Learn. Syst.
Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An
2023 J jnl
Exploiting Counter-Examples for Active Learning with Partial labels.
CoRR
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
2023 A* conf
Fine-Grained Classification with Noisy Labels.
CVPR
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin
2023 J jnl
Fine-Grained Classification with Noisy Labels.
CoRR
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin
2023 A* conf
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.
NeurIPS
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
2023 J jnl
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.
CoRR
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
2023 J jnl
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.
CoRR
Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023 A* conf
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples.
ICCV
Suqin Yuan, Lei Feng, Tongliang Liu
2023 J jnl
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples.
CoRR
Suqin Yuan, Lei Feng, Tongliang Liu
2023 J jnl
Learning cross-domain semantic-visual relationships for transductive zero-shot learning.
Pattern Recognit.
Fengmao Lv, Jianyang Zhang, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan
2023 A* conf
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.
ICML
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2023 A* conf
Multi-Label Knowledge Distillation.
ICCV
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 J jnl
Multi-Label Knowledge Distillation.
CoRR
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 J jnl
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.
IEEE Trans. Knowl. Data Eng.
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2023 A* conf
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.
NeurIPS
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
2023 J jnl
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.
CoRR
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
2023 A* conf
Partial-Label Regression.
AAAI
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
2023 J jnl
Partial-Label Regression.
CoRR
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
2023 A* conf
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples.
KDD
Shuo He, Lei Feng, Guowu Yang
2023 J jnl
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples.
CoRR
Shuo He, Lei Feng, Guowu Yang
2023 A* conf
ProMix: Combating Label Noise via Maximizing Clean Sample Utility.
IJCAI
Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao
2023 A* conf
Regression with Cost-based Rejection.
NeurIPS
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023 J jnl
Regression with Cost-based Rejection.
CoRR
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023 J jnl
SDFReg: Learning Signed Distance Functions for Point Cloud Registration.
CoRR
Leida Zhang, Yiqun Wang, Zhengda Lu, Lei Feng
2023 A* conf
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.
NeurIPS
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
2023 J jnl
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.
CoRR
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
2023 A* conf
Weakly Supervised Regression with Interval Targets.
ICML
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2023 J jnl
Weakly Supervised Regression with Interval Targets.
CoRR
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2022 A* conf
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022 J jnl
Can Adversarial Training Be Manipulated By Non-Robust Features?
CoRR
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022 A* conf
Exploiting Class Activation Value for Partial-Label Learning.
ICLR
Fei Zhang, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Tao Qin, Masashi Sugiyama
2022 A* conf
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.
AAAI
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
2022 J jnl
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.
CoRR
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
2022 A* conf
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.
NeurIPS
Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
2022 J jnl
Logit Clipping for Robust Learning against Label Noise.
CoRR
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2022 A* conf
Mitigating Neural Network Overconfidence with Logit Normalization.
ICML
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022 J jnl
Mitigating Neural Network Overconfidence with Logit Normalization.
CoRR
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022 A* conf
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
ICML
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022 J jnl
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
CoRR
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022 A* conf
Partial Label Learning with Semantic Label Representations.
KDD
Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang
2022 A* conf
PiCO: Contrastive Label Disambiguation for Partial Label Learning.
ICLR
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2022 J jnl
PiCO: Contrastive Label Disambiguation for Partial Label Learning.
CoRR
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2022 J jnl
ProMix: Combating Label Noise via Maximizing Clean Sample Utility.
CoRR
Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng, Junbo Zhao
2022 J jnl
Regularized Matrix Factorization for Multilabel Learning With Missing Labels.
IEEE Trans. Cybern.
Lei Feng, Jun Huang, Senlin Shu, Bo An
2022 J jnl
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.
Trans. Mach. Learn. Res.
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
2022 A* conf
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.
NeurIPS
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
2022 J jnl
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.
CoRR
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
2022 A* conf
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning.
ICLR
Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang
2022 A* conf
With False Friends Like These, Who Can Notice Mistakes?
AAAI
Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
2021 — —
Advanced topics in weakly supervised learning
Lei Feng
2021 A* conf
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion.
ICCV
Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv
2021 A* conf
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.
NeurIPS
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021 J jnl
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback.
IEEE Intell. Syst.
Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An
2021 J jnl
GLIMG: Global and local item graphs for top-N recommender systems.
Inf. Sci.
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh
2021 A* conf
Learning from Complementary Labels via Partial-Output Consistency Regularization.
IJCAI
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
2021 A* conf
Learning from Similarity-Confidence Data.
ICML
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021 J jnl
Learning from Similarity-Confidence Data.
CoRR
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021 J jnl
Multi-Class Classification from Single-Class Data with Confidences.
CoRR
Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021 A* conf
Multiple-Instance Learning from Similar and Dissimilar Bags.
KDD
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2021 J jnl
On the Robustness of Average Losses for Partial-Label Learning.
CoRR
Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2021 J jnl
Partial multi-label learning with mutual teaching.
Knowl. Based Syst.
Yan Yan, ShiNing Li, Lei Feng
2021 A* conf
Pointwise Binary Classification with Pairwise Confidence Comparisons.
ICML
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
2021 J jnl
Provable Defense Against Delusive Poisoning.
CoRR
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021 A* conf
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence.
NeurIPS
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
2020 J jnl
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.
CoRR
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu
2020 A* conf
Can Cross Entropy Loss Be Robust to Label Noise?
IJCAI
Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
2020 A* conf
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization.
CVPR
Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
2020 J jnl
Combating noisy labels by agreement: A joint training method with co-regularization.
CoRR
Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
2020 A* conf
Discovering Latent Class Labels for Multi-Label Learning.
IJCAI
Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
2020 J jnl
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems.
CoRR
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh
2020 J jnl
Incorporating Multiple Cluster Centers for Multi-Label Learning.
CoRR
Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li
2020 J jnl
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning.
CoRR
Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan
2020 A* conf
Learning with Multiple Complementary Labels.
ICML
Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama
2020 J jnl
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting.
CoRR
Hongxin Wei, Lei Feng, Rundong Wang, Bo An
2020 J jnl
Pointwise Binary Classification with Pairwise Confidence Comparisons.
CoRR
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
2020 A* conf
Progressive Identification of True Labels for Partial-Label Learning.
ICML
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
2020 J jnl
Progressive Identification of True Labels for Partial-Label Learning.
CoRR
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
2020 A* conf
Provably Consistent Partial-Label Learning.
NeurIPS
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020 J jnl
Provably Consistent Partial-Label Learning.
CoRR
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020 J jnl
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.
CoRR
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
2019 A* conf
Collaboration Based Multi-Label Learning.
AAAI
Lei Feng, Bo An, Shuo He
2019 J jnl
Collaboration based Multi-Label Learning.
CoRR
Lei Feng, Bo An, Shuo He
2019 A* conf
EXACT: Attributed Entity Extraction By Annotating Texts.
SIGIR
Ke Chen, Lei Feng, Qingkuang Chen, Gang Chen, Lidan Shou
2019 — conf
Fast Top-N Personalized Recommendation on Item Graph.
IEEE BigData
Zhuoyi Lin, Lei Feng, Chee-Keong Kwoh, Chi Xu
2019 J jnl
Learning from Multiple Complementary Labels.
CoRR
Lei Feng, Bo An
2019 A* conf
Partial Label Learning by Semantic Difference Maximization.
IJCAI
Lei Feng, Bo An
2019 A* conf
Partial Label Learning with Self-Guided Retraining.
AAAI
Lei Feng, Bo An
2019 J jnl
Partial Label Learning with Self-Guided Retraining.
CoRR
Lei Feng, Bo An
2018 A* conf
Estimating Latent Relative Labeling Importances for Multi-label Learning.
ICDM
Shuo He, Lei Feng, Li Li
2018 A* conf
Leveraging Latent Label Distributions for Partial Label Learning.
IJCAI
Lei Feng, Bo An
2017 J jnl
A driving behavior detection system based on a smartphone's built-in sensor.
Int. J. Commun. Syst.
Yantao Li, Fengtao Xue, Lei Feng, Zehui Qu