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Lei Feng
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 28
Top Topics
Semi Supervised Learning Setting
E Learning
Conformal Prediction
Label Noise
Top Venues
CoRR
NeurIPS
ICCV
ICML
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Publications
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Huajun Xi
,
Jianguo Huang
,
Lei Feng
,
Hongxin Wei
Does Confidence Calibration Help Conformal Prediction?
CoRR
(2024)
Zhenlong Liu
,
Lei Feng
,
Huiping Zhuang
,
Xiaofeng Cao
,
Hongxin Wei
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.
CoRR
(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)