Wei, Tong

32 publications

NeurIPS 2025 Adaptive Divergence Regularized Policy Optimization for Fine-Tuning Generative Models Jiajun Fan, Tong Wei, Chaoran Cheng, Yuxin Chen, Ge Liu

WACV 2025 Breaking the Frame: Visual Place Recognition by Overlap Prediction Tong Wei, Philipp Lindenberger, Jirí Matas, Daniel Barath

ICCV 2025 GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye

ICML 2025 LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Mao-Lin Luo, Zi-Hao Zhou, Tong Wei, Min-Ling Zhang

JMLR 2025 Optimal and Efficient Algorithms for Decentralized Online Convex Optimization Yuanyu Wan, Tong Wei, Bo Xue, Mingli Song, Lijun Zhang

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

ICML 2025 Weakly-Supervised Contrastive Learning for Imprecise Class Labels Zi-Hao Zhou, Jun-Jie Wang, Tong Wei, Min-Ling Zhang

NeurIPS 2025 X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection Tong Wei, Bo-Lin Wang, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

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

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

NeurIPS 2024 Dual Critic Reinforcement Learning Under Partial Observability Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang

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

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

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

ICML 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li

COLT 2024 Nearly Optimal Regret for Decentralized Online Convex Optimization Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang

TMLR 2024 Revisiting Discrete Soft Actor-Critic Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye

MLJ 2024 Transfer and Share: Semi-Supervised Learning from Long-Tailed Data Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo

NeurIPS 2024 Vision-Language Models Are Strong Noisy Label Detectors Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

ICCV 2023 Adaptive Reordering Sampler with Neurally Guided MAGSAC Tong Wei, Jiri Matas, Daniel Barath

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

ICCV 2023 Generalized Differentiable RANSAC Tong Wei, Yash Patel, Alexander Shekhovtsov, Jiri Matas, Daniel Barath

NeurIPS 2023 How Re-Sampling Helps for Long-Tail Learning? Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li

ICCV 2023 Scene-Aware Feature Matching Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du

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

CVPR 2023 Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need Tong Wei, Kai Gan

ICCV 2021 NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li

AAAI 2019 Learning Compact Model for Large-Scale Multi-Label Data Tong Wei, Yufeng Li

IJCAI 2019 Learning for Tail Label Data: A Label-Specific Feature Approach Tong Wei, Wei-Wei Tu, Yufeng Li

AAAI 2019 Towards Automated Semi-Supervised Learning Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu

IJCAI 2018 Does Tail Label Help for Large-Scale Multi-Label Learning Tong Wei, Yufeng Li

MLJ 2018 Learning Safe Multi-Label Prediction for Weakly Labeled Data Tong Wei, Lan-Zhe Guo, Yufeng Li, Wei Gao