Tong Wei - RankMe

53 papers A* 23Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DC-Merge: Improving Model Merging with Directional Consistency. CoRR Han-Chen Zhang, Zi-Hao Zhou, Mao-Lin Luo, Shimin Di, Min-Ling Zhang, Tong Wei
2026	J	`jnl`	KeepLoRA: Continual Learning with Residual Gradient Adaptation. CoRR Mao-Lin Luo, Zi-Hao Zhou, Yi-Lin Zhang, Yuanyu Wan, Tong Wei, Min-Ling Zhang
2026	J	`jnl`	Robust long-tailed learning under label noise. Frontiers Comput. Sci. Tong Wei, Jiang-Xin Shi, Min-Ling Zhang, Yufeng Li
2026	J	`jnl`	Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation. CoRR Hao Gu, Mao-Lin Luo, Zi-Hao Zhou, Han-Chen Zhang, Min-Ling Zhang, Tong Wei
2025	A*	`conf`	LADA: Scalable Label-Specific CLIP Adapter for Continual Learning. ICML Mao-Lin Luo, Zi-Hao Zhou, Tong Wei, Min-Ling Zhang
2025	J	`jnl`	LADA: Scalable Label-Specific CLIP Adapter for Continual Learning. CoRR Mao-Lin Luo, Zi-Hao Zhou, Tong Wei, Min-Ling Zhang
2025	J	`jnl`	Optimal and Efficient Algorithms for Decentralized Online Convex Optimization. J. Mach. Learn. Res. Yuanyu Wan, Tong Wei, Bo Xue, Mingli Song, Lijun Zhang
2025	A*	`conf`	Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency. ICLR Kai Gan, Bo Ye, Min-Ling Zhang, Tong Wei
2025	J	`jnl`	Tuning the Right Foundation Models is What you Need for Partial Label Learning. CoRR Kuang He, Wei Tang, Tong Wei, Min-Ling Zhang
2025	A*	`conf`	Weakly-Supervised Contrastive Learning for Imprecise Class Labels. ICML Zi-Hao Zhou, Junjie Wang, Tong Wei, Min-Ling Zhang
2025	J	`jnl`	Weakly-Supervised Contrastive Learning for Imprecise Class Labels. CoRR Zi-Hao Zhou, Junjie Wang, Tong Wei, Min-Ling Zhang
2024	J	`jnl`	Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning. CoRR Kai Gan, Tong Wei, Min-Ling Zhang
2024	A*	`conf`	Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. IJCAI Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang
2024	A*	`conf`	Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition. NeurIPS Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang
2024	J	`jnl`	Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition. CoRR Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang
2024	A*	`conf`	EAT: Towards Long-Tailed Out-of-Distribution Detection. AAAI Tong Wei, Bo-Lin Wang, Min-Ling Zhang
2024	A*	`conf`	Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. KDD Jiang-Xin Shi, Chi Zhang, Tong Wei, Yufeng Li
2024	J	`jnl`	Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. CoRR Jiang-Xin Shi, Chi Zhang, Tong Wei, Yufeng Li
2024	A*	`conf`	Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning. ICML Kai Gan, Tong Wei
2024	J	`jnl`	Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning. CoRR Kai Gan, Tong Wei
2024	J	`jnl`	Label-Specific Time-Frequency Energy-Based Neural Network for Instrument Recognition. IEEE Trans. Cybern. Jian Zhang, Tong Wei, Min-Ling Zhang
2024	A*	`conf`	Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition. ICML Tong Wei, Zhen Mao, Zi-Hao Zhou, Yuanyu Wan, Min-Ling Zhang
2024	A*	`conf`	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. ICML Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li
2024	A*	`conf`	Nearly Optimal Regret for Decentralized Online Convex Optimization. COLT Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang
2024	J	`jnl`	Nearly Optimal Regret for Decentralized Online Convex Optimization. CoRR Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang
2024	J	`jnl`	Transfer and share: semi-supervised learning from long-tailed data. Mach. Learn. Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
2024	A*	`conf`	Vision-Language Models are Strong Noisy Label Detectors. NeurIPS Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2024	J	`jnl`	Vision-Language Models are Strong Noisy Label Detectors. CoRR Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2023	J	`jnl`	Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. CoRR Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang
2023	A*	`conf`	Can Label-Specific Features Help Partial-Label Learning? AAAI Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang
2023	J	`jnl`	EAT: Towards Long-Tailed Out-of-Distribution Detection. CoRR Tong Wei, Bo-Lin Wang, Min-Ling Zhang
2023	A*	`conf`	How Re-sampling Helps for Long-Tail Learning? NeurIPS Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yufeng Li
2023	J	`jnl`	How Re-sampling Helps for Long-Tail Learning? CoRR Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yufeng Li
2023	J	`jnl`	Parameter-Efficient Long-Tailed Recognition. CoRR Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li
2023	A*	`conf`	Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. IJCAI Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang
2023	A*	`conf`	Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency is All You Need. CVPR Tong Wei, Kai Gan
2022	J	`jnl`	A Survey on Extreme Multi-label Learning. CoRR Tong Wei, Zhen Mao, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2022	—	`conf`	Prototypical Classifier for Robust Class-Imbalanced Learning. PAKDD (2) Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2022	J	`jnl`	Robust model selection for positive and unlabeled learning with constraints. Sci. China Inf. Sci. Tong Wei, Hai Wang, Weiwei Tu, Yufeng Li
2022	J	`jnl`	Transfer and Share: Semi-Supervised Learning from Long-Tailed Data. CoRR Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
2021	A*	`conf`	NGC: A Unified Framework for Learning with Open-World Noisy Data. ICCV Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li
2021	J	`jnl`	NGC: A Unified Framework for Learning with Open-World Noisy Data. CoRR Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li
2021	A*	`conf`	Probabilistic Label Tree for Streaming Multi-Label Learning. KDD Tong Wei, Jiang-Xin Shi, Yufeng Li
2021	J	`jnl`	Prototypical Classifier for Robust Class-Imbalanced Learning. CoRR Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang
2021	J	`jnl`	Robust Long-Tailed Learning under Label Noise. CoRR Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yufeng Li
2021	A*	`conf`	Towards Robust Prediction on Tail Labels. KDD Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang
2020	J	`jnl`	Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE Trans. Neural Networks Learn. Syst. Tong Wei, Yufeng Li
2020	J	`jnl`	MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. CoRR Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yufeng Li
2019	A*	`conf`	Learning Compact Model for Large-Scale Multi-Label Data. AAAI Tong Wei, Yufeng Li
2019	A*	`conf`	Learning for Tail Label Data: A Label-Specific Feature Approach. IJCAI Tong Wei, Wei-Wei Tu, Yufeng Li
2019	A*	`conf`	Towards Automated Semi-Supervised Learning. AAAI Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu
2018	A*	`conf`	Does Tail Label Help for Large-Scale Multi-Label Learning. IJCAI Tong Wei, Yufeng Li
2018	J	`jnl`	Learning safe multi-label prediction for weakly labeled data. Mach. Learn. Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao