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 39 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

DC-Merge: Improving Model Merging with Directional Consistency.

[BibT_eX]

[DOI]

CoRR, March, 2026

Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation.

[BibT_eX]

[DOI]

CoRR, February, 2026

Robust long-tailed learning under label noise.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., January, 2026

KeepLoRA: Continual Learning with Residual Gradient Adaptation.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

Tuning the Right Foundation Models is What you Need for Partial Label Learning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Optimal and Efficient Algorithms for Decentralized Online Convex Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2025

Weakly-Supervised Contrastive Learning for Imprecise Class Labels.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Label-Specific Time-Frequency Energy-Based Neural Network for Instrument Recognition.

[BibT_eX]

[DOI]

Jian Zhang

Tong Wei

Min-Ling Zhang

IEEE Trans. Cybern., November, 2024

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

[BibT_eX]

[DOI]

Mach. Learn., April, 2024

Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning.

[BibT_eX]

[DOI]

Kai Gan

Tong Wei

Min-Ling Zhang

CoRR, 2024

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Vision-Language Models are Strong Noisy Label Detectors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Kai Gan

Tong Wei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Nearly Optimal Regret for Decentralized Online Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 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

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

Yufeng 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

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

Yufeng 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

Yufeng 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

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

[BibT_eX]

[DOI]

Tong Wei

Yufeng Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Tong Wei

Timeline

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Bibliography

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