Tong Wei

Orcid: 0000-0002-3224-2659

Affiliations:

Nanjing University, National Key Laboratory for Novel Software Technology, China

According to our database¹, Tong Wei authored at least 21 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Other

Bibliography

2024

Transfer and share: semi-supervised learning from long-tailed data.

[BibT_eX]

[DOI]

Mach. Learn., April, 2024

EAT: Towards Long-Tailed Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Tong Wei

Bo-Lin Wang

Min-Ling Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Parameter-Efficient Long-Tailed Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

How Re-sampling Helps for Long-Tail Learning?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency is All You Need.

[BibT_eX]

[DOI]

Tong Wei

Kai Gan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Can Label-Specific Features Help Partial-Label Learning?

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey on Extreme Multi-label Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Robust model selection for positive and unlabeled learning with constraints.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

Prototypical Classifier for Robust Class-Imbalanced Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Robust Long-Tailed Learning under Label Noise.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Robust Prediction on Tail Labels.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Probabilistic Label Tree for Streaming Multi-Label Learning.

[BibT_eX]

[DOI]

Tong Wei

Jiang-Xin Shi

Yu-Feng Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

NGC: A Unified Framework for Learning with Open-World Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Does Tail Label Help for Large-Scale Multi-Label Learning?

[BibT_eX]

[DOI]

Tong Wei

Yu-Feng Li

IEEE Trans. Neural Networks Learn. Syst., 2020

MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Learning for Tail Label Data: A Label-Specific Feature Approach.

[BibT_eX]

[DOI]

Tong Wei

Wei-Wei Tu

Yu-Feng Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Compact Model for Large-Scale Multi-Label Data.

[BibT_eX]

[DOI]

Tong Wei

Yu-Feng Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Towards Automated Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning safe multi-label prediction for weakly labeled data.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Tong Wei

Timeline

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