Yu-Feng Li

Yu-Feng Li

Nanjing University

H-index: 34

Asia-China

About Yu-Feng Li

Yu-Feng Li, With an exceptional h-index of 34 and a recent h-index of 29 (since 2020), a distinguished researcher at Nanjing University, specializes in the field of Machine Learning.

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

LAMDA-SSL: a comprehensive semi-supervised learning toolkit

Investigating the limitation of clip models: The worst-performing categories

Interactive reweighting for mitigating label quality issues

ODS: test-time adaptation in the presence of open-world data shift

Examining the Achilles' Heel of CLIP Models: The Worst-Performing Categories

Bidirectional adaptation for robust semi-supervised learning with inconsistent data distributions

You Only Submit One Image to Find the Most Suitable Generative Model

Identifying useful learnwares for heterogeneous label spaces

Yu-Feng Li Information

University

Position

___

Citations(all)

5517

Citations(since 2020)

3214

Cited By

3343

hIndex(all)

34

hIndex(since 2020)

29

i10Index(all)

53

i10Index(since 2020)

49

Email

University Profile Page

Nanjing University

Google Scholar

View Google Scholar Profile

Yu-Feng Li Skills & Research Interests

Machine Learning

Top articles of Yu-Feng Li

Title

Journal

Author(s)

Publication Date

LAMDA-SSL: a comprehensive semi-supervised learning toolkit

Lin-Han Jia

Lan-Zhe Guo

Zhi Zhou

Yu-Feng Li

2024/1

Investigating the limitation of clip models: The worst-performing categories

arXiv preprint arXiv:2310.03324

Jie-Jing Shao

Jiang-Xin Shi

Xiao-Wen Yang

Lan-Zhe Guo

Yu-Feng Li

2023/10/5

Interactive reweighting for mitigating label quality issues

IEEE Transactions on Visualization and Computer Graphics

Weikai Yang

Yukai Guo

Jing Wu

Zheng Wang

Lan-Zhe Guo

...

2023/12/21

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

2023/7/3

Examining the Achilles' Heel of CLIP Models: The Worst-Performing Categories

Jie-Jing Shao

Jiang-Xin Shi

Xiao-Wen Yang

Lan-Zhe Guo

Yu-Feng Li

2023/10/13

Bidirectional adaptation for robust semi-supervised learning with inconsistent data distributions

Lin-Han Jia

Lan-Zhe Guo

Zhi Zhou

Jie-Jing Shao

Yuke Xiang

...

2023/7/3

You Only Submit One Image to Find the Most Suitable Generative Model

Zhi Zhou

Lan-Zhe Guo

Pengxiao Song

Yu-Feng Li

2023/10/13

Identifying useful learnwares for heterogeneous label spaces

Lan-Zhe Guo

Zhi Zhou

Yu-Feng Li

Zhi-Hua Zhou

2023/4/24

Offline Imitation Learning without Auxiliary High-quality Behavior Data

Jie-Jing Shao

Hao-Sen Shi

Tian Xu

Lan-Zhe Guo

Yang Yu

...

2023/10/13

A Benchmark on Robust Semi-Supervised Learning in Open Environments

Lin-Han Jia

Lan-Zhe Guo

Zhi Zhou

Yu-Feng Li

2023/10/13

Usb: A unified semi-supervised learning benchmark for classification

Advances in Neural Information Processing Systems

Yidong Wang

Hao Chen

Yue Fan

Wang Sun

Ran Tao

...

2022/12/6

Robust model selection for positive and unlabeled learning with constraints

Science China Information Sciences

Tong Wei

Hai Wang

Weiwei Tu

Yufeng Li

2022/11

LAMDA-SSL: Semi-supervised learning in python

arXiv preprint arXiv:2208.04610

Lin-Han Jia

Lan-Zhe Guo

Zhi Zhou

Yu-Feng Li

2022/8/9

Class-imbalanced semi-supervised learning with adaptive thresholding

Lan-Zhe Guo

Yu-Feng Li

2022/6/28

Log: Active model adaptation for label-efficient ood generalization

Advances in Neural Information Processing Systems

Jie-Jing Shao

Lan-Zhe Guo

Xiao-Wen Yang

Yu-Feng Li

2022/12/6

Robust deep semi-supervised learning: A brief introduction

arXiv preprint arXiv:2202.05975

Lan-Zhe Guo

Zhi Zhou

Yu-Feng Li

2022/2/12

Robust semi-supervised learning when not all classes have labels

Advances in Neural Information Processing Systems

Lan-Zhe Guo

Yi-Ge Zhang

Zhi-Fan Wu

Jie-Jing Shao

Yu-Feng Li

2022/12/6

Interactive graph construction for graph-based semi-supervised learning

IEEE Transactions on Visualization and Computer Graphics

Changjian Chen

Zhaowei Wang

Jing Wu

Xiting Wang

Lan-Zhe Guo

...

2021/5/28

Step: Out-of-distribution detection in the presence of limited in-distribution labeled data

Advances in Neural Information Processing Systems

Zhi Zhou

Lan-Zhe Guo

Zhanzhan Cheng

Yu-Feng Li

Shiliang Pu

2021/12/6

Learning from imbalanced and incomplete supervision with its application to ride-sharing liability judgment

Lan-Zhe Guo

Zhi Zhou

Jie-Jing Shao

Qi Zhang

Feng Kuang

...

2021/8/14

See List of Professors in Yu-Feng Li University(Nanjing University)

Co-Authors

H-index: 125
Zhi-Hua Zhou

Zhi-Hua Zhou

Nanjing University

H-index: 74
Ivor W. Tsang, IEEE Fellow

Ivor W. Tsang, IEEE Fellow

University of Technology

H-index: 43
Min-Ling Zhang

Min-Ling Zhang

Southeast University

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