Lei Feng

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 48

Top Topics

Supervised Learning

Hierarchical Classification

Top Venues

Publications

Suqin Yuan, Lei Feng, Tongliang Liu
Early Stopping Against Label Noise Without Validation Data. ICLR (2024)
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
Online binary classification from similar and dissimilar data. Mach. Learn. 113 (6) (2024)
Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR (2024)
Qi WeiLei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113 (7) (2024)
Huajun Xi, Jianguo Huang, Lei Feng, Hongxin Wei
Does Confidence Calibration Help Conformal Prediction? CoRR (2024)
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS (2024)
Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection. CoRR (2024)
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
Learning Geometry-Aware Representations for New Intent Discovery. ACL (1) (2024)
Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR (2024)
Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. CoRR (2024)
Yuzhou Cao, Lei Feng, Bo An
Consistent Hierarchical Classification with A Generalized Metric. AISTATS (2024)
Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR (2024)
Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. KDD (2024)
Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning. ICLR (2024)
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113 (8) (2024)
Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113 (6) (2024)
Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
Improving Generalization of Deep Neural Networks by Optimum Shifting. CoRR (2024)
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning. CoRR (2024)
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang
Multiple-instance Learning from Triplet Comparison Bags. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An
Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Suqin Yuan, Lei Feng, Tongliang Liu
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples. CoRR (2023)
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
Weakly Supervised Regression with Interval Targets. ICML (2023)
Fengmao Lv, Jianyang Zhang, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan
Learning cross-domain semantic-visual relationships for transductive zero-shot learning. Pattern Recognit. 141 (2023)
Leida Zhang, Yiqun Wang, Zhengda Lu, Lei Feng
SDFReg: Learning Signed Distance Functions for Point Cloud Registration. CoRR (2023)
Shuo He, Lei Feng, Guowu Yang
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. CoRR (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI (2023)
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR (2023)
Shuo He, Guowu Yang, Lei Feng
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning. ICCV (2023)
Shuo He, Lei Feng, Guowu Yang
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. KDD (2023)
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR (2023)
Suqin Yuan, Lei Feng, Tongliang Liu
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples. ICCV (2023)
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS (2023)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
COMET: Convolutional Dimension Interaction for Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen
A Universal Unbiased Method for Classification from Aggregate Observations. ICML (2023)
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Multi-Label Knowledge Distillation. ICCV (2023)
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
Partial-Label Regression. CoRR (2023)
Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning. CoRR (2023)
Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS (2022)
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. NeurIPS (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS (2022)
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
Logit Clipping for Robust Learning against Label Noise. CoRR (2022)