Xie, Ming-Kun

17 publications

CVPR 2025 Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning Lei-Lei Ma, Shuo Xu, Ming-Kun Xie, Lei Wang, Dengdi Sun, Haifeng Zhao

TMLR 2025 Interactive Large Language Models for Reliable Answering Under Incomplete Context Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jia-Hao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu

IJCAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

ICML 2025 Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang

NeurIPS 2025 RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation Between Labels Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng

NeurIPS 2025 Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition Pei Peng, Ming-Kun Xie, Hang Hao, Tong Jin, Sheng-Jun Huang

ICML 2024 Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training Ming-Kun Xie, Jia-Hao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

AAAI 2024 Dirichlet-Based Prediction Calibration for Learning with Noisy Labels Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang

ECCV 2024 Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning Jia-Hao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

NeurIPS 2024 Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang

AAAI 2024 Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen

NeurIPS 2023 Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

ICCV 2023 Multi-Label Knowledge Distillation Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

NeurIPS 2022 Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang

NeurIPS 2021 Multi-Label Learning with Pairwise Relevance Ordering Ming-Kun Xie, Sheng-Jun Huang

AAAI 2020 Partial Multi-Label Learning with Noisy Label Identification Ming-Kun Xie, Sheng-Jun Huang

AAAI 2018 Partial Multi-Label Learning Ming-Kun Xie, Sheng-Jun Huang