Tong Wei

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

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Publications

Kai Gan, Tong Wei
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning. CoRR (2024)
Kai Gan, Tong Wei, Min-Ling Zhang
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning. CoRR (2024)
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
Transfer and share: semi-supervised learning from long-tailed data. Mach. Learn. 113 (4) (2024)
Tong Wei, Bo-Lin Wang, Min-Ling Zhang
EAT: Towards Long-Tailed Out-of-Distribution Detection. AAAI (2024)
Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng Li
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. CoRR (2024)
Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng Li
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. KDD (2024)
Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li
How Re-sampling Helps for Long-Tail Learning? CoRR (2023)
Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li
How Re-sampling Helps for Long-Tail Learning? NeurIPS (2023)
Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. CoRR (2023)
Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. IJCAI (2023)
Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yu-Feng Li
Parameter-Efficient Long-Tailed Recognition. CoRR (2023)
Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang
Can Label-Specific Features Help Partial-Label Learning? AAAI (2023)
Tong Wei, Bo-Lin Wang, Min-Ling Zhang
EAT: Towards Long-Tailed Out-of-Distribution Detection. CoRR (2023)
Tong Wei, Hai Wang, Weiwei Tu, Yufeng Li
Robust model selection for positive and unlabeled learning with constraints. Sci. China Inf. Sci. 65 (11) (2022)
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data. CoRR (2022)
Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
A Survey on Extreme Multi-label Learning. CoRR (2022)
Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Prototypical Classifier for Robust Class-Imbalanced Learning. PAKDD (2) (2022)
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li
Robust Long-Tailed Learning under Label Noise. CoRR (2021)
Tong Wei, Wei-Wei Tu, Yu-Feng Li, Guo-Ping Yang
Towards Robust Prediction on Tail Labels. KDD (2021)
Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li
NGC: A Unified Framework for Learning with Open-World Noisy Data. ICCV (2021)
Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li
NGC: A Unified Framework for Learning with Open-World Noisy Data. CoRR (2021)
Tong Wei, Jiang-Xin Shi, Yu-Feng Li
Probabilistic Label Tree for Streaming Multi-Label Learning. KDD (2021)
Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Prototypical Classifier for Robust Class-Imbalanced Learning. CoRR (2021)
Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yu-Feng Li
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. CoRR (2020)
Tong Wei, Yu-Feng Li
Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu
Towards Automated Semi-Supervised Learning. AAAI (2019)
Tong Wei, Wei-Wei Tu, Yu-Feng Li
Learning for Tail Label Data: A Label-Specific Feature Approach. IJCAI (2019)
Tong Wei, Yu-Feng Li
Learning Compact Model for Large-Scale Multi-Label Data. AAAI (2019)
Tong Wei, Yu-Feng Li
Does Tail Label Help for Large-Scale Multi-Label Learning. IJCAI (2018)
Tong Wei, Lan-Zhe Guo, Yu-Feng Li, Wei Gao
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107 (4) (2018)