Lei Feng

发表

Progressive Identification of True Labels for Partial-Label Learning

Masashi Sugiyama, M. Sugiyama, Gang Niu, 2020, ICML.

Provably Consistent Partial-Label Learning

Masashi Sugiyama, M. Sugiyama, Bo Han, 2020, Neural Information Processing Systems.

Semi-supervised classification using multiple clusterings

Lei Feng, G. X. Yu, G. Yao, 2016, Pattern Recognition and Image Analysis.

Mitigating Neural Network Overconfidence with Logit Normalization

Yixuan Li, Lei Feng, Bo An, 2022, ArXiv.

Mitigating Neural Network Overconfidence with Logit Normalization

Yixuan Li, Lei Feng, Bo An, 2022, ICML.

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets

Lei Feng, Bo An, Hongxin Wei, 2022, ICML.

Multi-Level Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

B. Liu, Lei Feng, Yuxuan Xie, 2022, Applied Sciences.

Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

Lei Feng, Bo An, Hongxin Wei, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The study of new energy vehicle choice in China from the perspective of complex neural network

Lei Feng, Hui Liu, 2022, Frontiers in Physics.

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

Yixuan Li, J. Zhao, Haobo Wang, 2022, NeurIPS.

ProMix: Combating Label Noise via Maximizing Clean Sample Utility

J. Zhao, Haobo Wang, Lei Feng, 2022, ArXiv.

PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning

Yixuan Li, J. Zhao, Gang Niu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-Supervised Classification Based on Mixture Graph

Lei Feng, Guoxian Yu, Guoxian Yu, 2015, Algorithms.

Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion

Guosheng Lin, Fengmao Lv, Lei Feng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning from Similarity-Confidence Data

Gang Niu, Masashi Sugiyama, Yuzhou Cao, 2021, ICML.

Application of digital speckle correlation method to investigate a size effect in micro-indentations

Hong Qi Li, Linan Li, M. H. Liu, 2008, International Conference on Experimental Mechanics.

Data Analysis and Prediction Modeling Based on Deep Learning in E-Commerce

Lei Feng, 2022, Scientific Programming.

Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence

Min-Ling Zhang, Lei Feng, Deng-Bao Wang, 2021, NeurIPS.

Deep Learning From Multiple Noisy Annotators as A Union.

Bo Han, Lei Feng, Bo An, 2022, IEEE transactions on neural networks and learning systems.

Can Cross Entropy Loss Be Robust to Label Noise?

Fengmao Lv, Lei Feng, Zhuoyi Lin, 2020, IJCAI.

Partial Label Learning with Self-Guided Retraining

Bo An, Lei Feng, Bo An, 2019, AAAI.

PiCO: Contrastive Label Disambiguation for Partial Label Learning

Gang Niu, Yixuan Li, Gang Chen, 2022, ICLR.

DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning

B. Liu, Lei Feng, Jianhua Tao, 2023, ArXiv.

Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning

Lixin Duan, Guowu Yang, Fengmao Lv, 2020, Pattern Recognition.

Elevated blood pressure accelerates white matter brain aging among late middle-aged women: a Mendelian Randomization study in the UK Biobank

Tengyu Ma, P. Kochunov, Lei Feng, 2023, medRxiv.

Stock Price Forecast Based on LSTM and DDQN

Lei Feng, Na Wu, Zongwu Ke, 2022, 2022 14th International Conference on Advanced Computational Intelligence (ICACI).

Logit Clipping for Robust Learning against Label Noise

Yixuan Li, Gang Niu, Lei Feng, 2022, ArXiv.

A driving behavior detection system based on a smartphone's built‐in sensor

Lei Feng, Yantao Li, Fengtao Xue, 2017, Int. J. Commun. Syst..

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes

Haobo Wang, Lei Feng, Tao Xiang, 2023, AAAI.

With False Friends Like These, Who Can Notice Mistakes?

Songcan Chen, Jinfeng Yi, Lei Feng, 2020, AAAI.

Who Is Your Right Mixup Partner in Positive and Unlabeled Learning

Jihong Ouyang, Ximing Li, Lei Feng, 2022, ICLR.

A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems

Zhiwu Li, Lei Feng, Junjun Yang, 2023, Inf. Sci..

Human-Driven FOL Explanations of Deep Learning

Li Li, Fengmao Lv, Bo An, 2020, IJCAI.

Fibulin-1 Regulates Initiation of Successional Dental Lamina.

Lei Feng, C. Zhang, X. Li, 2023, Journal of dental research.

Exploiting Counter-Examples for Active Learning with Partial labels

Jieming Zhu, Jianye Hao, Lei Feng, 2023, Mach. Learn..

Partial Label Learning by Semantic Difference Maximization

Bo An, Lei Feng, Bo An, 2019, IJCAI.

COMET: Convolutional Dimension Interaction for Collaborative Filtering

C. Kwoh, Rui Yin, Zhuoyi Lin, 2020, ACM Trans. Intell. Syst. Technol..

Incorporating Multiple Cluster Centers for Multi-Label Learning

Li Li, Fengmao Lv, Lei Feng, 2020, Inf. Sci..

Collaboration based Multi-Label Learning

Bo An, Lei Feng, Shuo He, 2019, AAAI.

Regularized Matrix Factorization for Multilabel Learning With Missing Labels

Jun Huang, Bo An, Lei Feng, 2020, IEEE Transactions on Cybernetics.

Learning from Complementary Labels via Partial-Output Consistency Regularization

Min-Ling Zhang, Lei Feng, Deng-Bao Wang, 2021, IJCAI.

Leveraging Latent Label Distributions for Partial Label Learning

Bo An, Lei Feng, Bo An, 2018, IJCAI.

Exploiting Class Activation Value for Partial-Label Learning

Masashi Sugiyama, M. Sugiyama, Tongliang Liu, 2022, ICLR.

Multiple-Instance Learning from Similar and Dissimilar Bags

Gang Niu, Tao Xiang, Senlin Shu, 2021, KDD.

ProMix: Combating Label Noise via Maximizing Clean Sample Utility

J. Zhao, Haobo Wang, Lei Feng, 2022, IJCAI.

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

Lei Feng, Yazhou Ren, Xiao-lan Zhu, 2023, ArXiv.

Fine-Grained Classification with Noisy Labels

Yilong Yin, Haoliang Sun, Lei Feng, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Universal Unbiased Method for Classification from Aggregate Observations

Tongliang Liu, Bo Han, Gang Niu, 2023, ICML.

Partial-Label Regression

Min-Ling Zhang, Lei Feng, Bo An, 2023, AAAI.

Partial Label Learning with Semantic Label Representations

Guowu Yang, Fengmao Lv, Lei Feng, 2022, Knowledge Discovery and Data Mining.

Semi-supervised classification using multiple clusterings

Lei Feng, G. Yao, J. Wang, 2016, Pattern Recognition and Image Analysis.

Late Stopping: Avoiding Confidently Learning from Mislabeled Examples

Tongliang Liu, Lei Feng, Suqin Yuan, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Weakly Supervised Regression with Interval Targets

Ximing Li, Lei Feng, Bo An, 2023, ICML.

Pointwise Binary Classification with Pairwise Confidence Comparisons

Masashi Sugiyama, Bo Han, Gang Niu, 2020, ICML.

Consistent Complementary-Label Learning via Order-Preserving Losses

Lei Feng, Bo An, Shuqi Liu, 2023, AISTATS.

Targeting impaired nutrient sensing via the sirtuin pathway with novel compounds to prevent or treat dementia: A systematic review

Lin Sun, Lei Feng, A. Matysek, 2023, Ageing Research Reviews.

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity

Lei Feng, Bo An, Gang Niu, 2023, IEEE Transactions on Knowledge and Data Engineering.

Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

Guowu Yang, Lei Feng, Shuo He, 2023, Knowledge Discovery and Data Mining.

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

Lei Feng, Hongxin Wei, Yiqun Wang, 2023, ArXiv.

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction

Yixuan Li, Gang Niu, Lei Feng, 2022, ICML.

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation pdf

Renchunzi Xie, Lei Feng, Hongxin Wei, 2022, AAAI.

Exploring the capabilities of deep learning in sea surveillance

Martin Törngren, Lei Feng, Henrik Ljunggren, 2017 .

ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning

B. Liu, Lei Feng, Jianhua Tao, 2023, NeurIPS.

Tourism Destination Image Perception Model Based on Clustering and PCA from the Perspective of New Media and Wireless Communication Network: A Case Study of Leshan

Lei Feng, Yiyi Lu, Dongliang Wang, 2022, Wireless Communications and Mobile Computing.

Collaborative Collision Avoidance of Connected Vehicles Using ADMM with PI-Regulated Lagrangian Multipliers

Martin Törngren, Lei Feng, Kaige Tan, 2023, 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).

Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples

Guowu Yang, Lei Feng, Shuo He, 2023, KDD.

Partial Label Learning with Semantic Label Representations

Guowu Yang, Fengmao Lv, Lei Feng, 2022, KDD.