Lei Feng

Lei Feng

Chongqing University

H-index: 17

Asia-China

About Lei Feng

Lei Feng, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Chongqing University, specializes in the field of Machine Learning, Data Science, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios

On the Value of Head Labels in Multi-Label Text Classification

Robust Node Classification on Graph Data with Graph and Label Noise

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

A General Framework for Learning from Weak Supervision

Consistent Hierarchical Classification with A Generalized Metric

Multiple-Instance Learning from Triplet Comparison Bags

Mitigating Underfitting in Learning to Defer with Consistent Losses

Lei Feng Information

University

Position

China

Citations(all)

1970

Citations(since 2020)

1956

Cited By

249

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

30

Email

University Profile Page

Chongqing University

Google Scholar

View Google Scholar Profile

Lei Feng Skills & Research Interests

Machine Learning

Data Science

Statistics

Top articles of Lei Feng

Title

Journal

Author(s)

Publication Date

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios

arXiv preprint arXiv:2303.17245

Jie Xu

Gang Niu

Xiaolong Wang

Yazhou Ren

Lei Feng

...

2023/3/30

On the Value of Head Labels in Multi-Label Text Classification

ACM Transactions on Knowledge Discovery from Data

Haobo Wang

Cheng Peng

Hede Dong

Lei Feng

Weiwei Liu

...

2024

Robust Node Classification on Graph Data with Graph and Label Noise

Proceedings of the AAAI Conference on Artificial Intelligence

Yonghua Zhu

Lei Feng

Zhenyun Deng

Yang Chen

Robert Amor

...

2024/3/24

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

arXiv preprint arXiv:2303.10365

Shiyu Tian

Hongxin Wei

Yiqun Wang

Lei Feng

2023/3/18

A General Framework for Learning from Weak Supervision

arXiv preprint arXiv:2402.01922

Hao Chen

Jindong Wang

Lei Feng

Xiang Li

Yidong Wang

...

2024/2/2

Consistent Hierarchical Classification with A Generalized Metric

Yuzhou Cao

Lei Feng

Bo An

2024

Multiple-Instance Learning from Triplet Comparison Bags

ACM Transactions on Knowledge Discovery from Data (TKDD)

Senlin Shu

Deng-Bao Wang

Suqin Yuan

Hongxin Wei

Jiuchuan Jiang

...

2024

Mitigating Underfitting in Learning to Defer with Consistent Losses

Shuqi Liu

Yuzhou Cao

Qiaozhen Zhang

Lei Feng

Bo An

2024

Learning Sample-Aware Threshold for Semi-Supervised Learning

Machine Learning Journal (ACML Journal Track)

Qi Wei

Lei Feng

Haoliang Sun

Ren Wang

Rundong He

...

2023/11

Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning

Shuo He

Chaojie Wang

Guowu Yang

Lei Feng

2023/10/13

Exploiting Counter-Examples for Active Learning with Partial labels

Machine Learning

Fei Zhang

Yunjie Ye

Lei Feng

Zhongwen Rao

Jieming Zhu

...

2024/1/8

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss

arXiv preprint arXiv:2402.05453

Zhenlong Liu

Lei Feng

Huiping Zhuang

Xiaofeng Cao

Hongxin Wei

2024/2/8

Debiased Sample Selection for Combating Noisy Labels

arXiv preprint arXiv:2401.13360

Qi Wei

Lei Feng

Haobo Wang

Bo An

2024/1/24

Weakly Supervised Regression with Interval Targets

Xin Cheng

Yuzhou Cao

Ximing Li

Bo An

Lei Feng

2023/7/3

Comet: Convolutional dimension interaction for collaborative filtering

ACM Transactions on Intelligent Systems and Technology

Zhuoyi Lin

Lei Feng

Xingzhi Guo

Yu Zhang

Rui Yin

...

2023/5/8

Binary Classification with Confidence Difference

Advances in Neural Information Processing Systems

Wei Wang

Lei Feng

Yuchen Jiang

Gang Niu

Min-Ling Zhang

...

2024/2/13

Multiple-Instance Learning from Unlabeled Bags with Pairwise Similarity

IEEE Transactions on Knowledge and Data Engineering

Lei Feng

Senlin Shu

Yuzhou Cao

Lue Tao

Hongxin Wei

...

2023/1/19

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction

Hongxin Wei

Huiping Zhuang

Renchunzi Xie

Lei Feng

Gang Niu

...

2023/7/3

Late Stopping: Avoiding Confidently Learning from Mislabeled Examples

Suqin Yuan

Lei Feng

Tongliang Liu

2023

Fine-Grained Classification with Noisy Labels

Qi Wei

Lei Feng

Haoliang Sun

Ren Wang

Chenhui Guo

...

2023/3/4

See List of Professors in Lei Feng University(Chongqing University)

Co-Authors

H-index: 47
Bo An

Bo An

Nanyang Technological University

H-index: 44
Xin Geng

Xin Geng

Southeast University

H-index: 43
Min-Ling Zhang

Min-Ling Zhang

Southeast University

H-index: 39
Sharon Yixuan Li

Sharon Yixuan Li

University of Wisconsin-Madison

H-index: 35
Bo Han

Bo Han

Hong Kong Baptist University

H-index: 19
Junbo Zhao

Junbo Zhao

New York University

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