Learning safe multi-label prediction for weakly labeled data. - Tong Wei 001; Lan-Zhe Guo; Yufeng Li 008; Wei Gao 008 (Mach. Learn., 2018)

Towards Automated Semi-Supervised Learning. - Yufeng Li 008; Hai Wang; Tong Wei 001; Wei-Wei Tu (AAAI, 2019)

Learning Compact Model for Large-Scale Multi-Label Data. - Tong Wei 001; Yufeng Li 008 (AAAI, 2019)

Learning for Tail Label Data: A Label-Specific Feature Approach. - Tong Wei 001; Wei-Wei Tu; Yufeng Li 008 (IJCAI, 2019)

MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. - Tong Wei 001; Feng Shi; Hai Wang; Wei-Wei Tu; Yufeng Li 008 (CoRR, 2020)

Does Tail Label Help for Large-Scale Multi-Label Learning? - Tong Wei 001; Yufeng Li 008 (IEEE Trans. Neural Networks Learn. Syst., 2020)

NGC: A Unified Framework for Learning with Open-World Noisy Data. - Zhi-Fan Wu; Tong Wei 001; Jianwen Jiang; Chaojie Mao; Mingqian Tang; Yufeng Li 008 (ICCV, 2021)

Probabilistic Label Tree for Streaming Multi-Label Learning. - Tong Wei 001; Jiang-Xin Shi; Yufeng Li 008 (KDD, 2021)

Towards Robust Prediction on Tail Labels. - Tong Wei 001; Wei-Wei Tu; Yufeng Li 008; Guo-Ping Yang (KDD, 2021)

Robust Long-Tailed Learning under Label Noise. - Tong Wei 001; Jiang-Xin Shi; Wei-Wei Tu; Yufeng Li 008 (CoRR, 2021)

Prototypical Classifier for Robust Class-Imbalanced Learning. - Tong Wei 001; Jiang-Xin Shi; Yufeng Li 008; Min-Ling Zhang (PAKDD (2), 2022)

Robust model selection for positive and unlabeled learning with constraints. - Tong Wei 001; Hai Wang; Weiwei Tu; Yufeng Li 008 (Sci. China Inf. Sci., 2022)

A Survey on Extreme Multi-label Learning. - Tong Wei 001; Zhen Mao; Jiang-Xin Shi; Yufeng Li 008; Min-Ling Zhang (CoRR, 2022)

Can Label-Specific Features Help Partial-Label Learning? - Ruo-Jing Dong; Jun-Yi Hang; Tong Wei 001; Min-Ling Zhang (AAAI, 2023)

Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency is All You Need. - Tong Wei 001; Kai Gan (CVPR, 2023)

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. - Hao-Tian Li; Tong Wei 001; Hao Yang 015; Kun Hu; Chong Peng; Li-Bo Sun; Xun-Liang Cai; Min-Ling Zhang (IJCAI, 2023)

How Re-sampling Helps for Long-Tail Learning? - Jiang-Xin Shi; Tong Wei 001; Yuke Xiang; Yufeng Li 008 (NeurIPS, 2023)

Parameter-Efficient Long-Tailed Recognition. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Xin-Yan Han; Jie-Jing Shao; Yufeng Li 008 (CoRR, 2023)

EAT: Towards Long-Tailed Out-of-Distribution Detection. - Tong Wei 001; Bo-Lin Wang; Min-Ling Zhang (AAAI, 2024)

Nearly Optimal Regret for Decentralized Online Convex Optimization. - Yuanyu Wan; Tong Wei 001; Mingli Song; Lijun Zhang 005 (COLT, 2024)

Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition. - Tong Wei 001; Zhen Mao; Zi-Hao Zhou; Yuanyu Wan; Min-Ling Zhang (ICML, 2024)

Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning. - Kai Gan; Tong Wei 001 (ICML, 2024)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Jie-Jing Shao; Xin-Yan Han; Yufeng Li 008 (ICML, 2024)

Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. - Bo Ye; Kai Gan; Tong Wei 001; Min-Ling Zhang (IJCAI, 2024)

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. - Jiang-Xin Shi; Chi Zhang; Tong Wei 001; Yufeng Li 008 (KDD, 2024)

Vision-Language Models are Strong Noisy Label Detectors. - Tong Wei 001; Hao-Tian Li; Chun-Shu Li; Jiang-Xin Shi; Yufeng Li 008; Min-Ling Zhang (NeurIPS, 2024)

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition. - Zi-Hao Zhou; Siyuan Fang; Zi-Jing Zhou; Tong Wei 001; Yuanyu Wan; Min-Ling Zhang (NeurIPS, 2024)

Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning. - Kai Gan; Tong Wei 001; Min-Ling Zhang (CoRR, 2024)

Transfer and share: semi-supervised learning from long-tailed data. - Tong Wei 001; Qian-Yu Liu; Jiang-Xin Shi; Wei-Wei Tu; Lan-Zhe Guo (Mach. Learn., 2024)

Label-Specific Time-Frequency Energy-Based Neural Network for Instrument Recognition. - Jian Zhang 019; Tong Wei 001; Min-Ling Zhang (IEEE Trans. Cybern., 2024)

Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency. - Kai Gan; Bo Ye; Min-Ling Zhang; Tong Wei 001 (ICLR, 2025)