Ming-Kun Xie

Publication Activity (10 Years)

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

Top Topics

Adaptive Thresholding

Image Classification

Top Venues

Publications

Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation. Mach. Intell. Res. 21 (4) (2024)
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. CoRR (2024)
Haochen Shi, Ming-Kun Xie, Shengjun Huang
Robust AUC maximization for classification with pairwise confidence comparisons. Frontiers Comput. Sci. 18 (4) (2024)
Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. CoRR (2024)
Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning. KDD (2024)
Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie
UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. AAAI (2024)
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI (2024)
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning. CoRR (2024)
Haochen Shi, Ming-Kun Xie, Shengjun Huang
Robust AUC maximization for classification with pairwise confidence comparisons. Frontiers Comput. Sci. 18 (4) (2024)
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Multi-Label Knowledge Distillation. CoRR (2023)
Ming-Kun Xie, Jiahao Xiao, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning. CoRR (2023)
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning. NeurIPS (2023)
Ming-Kun Xie, Sheng-Jun Huang
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. CoRR (2023)
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Multi-Label Knowledge Distillation. ICCV (2023)
Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels. NeurIPS (2022)
Ming-Kun Xie, Sheng-Jun Huang
Partial Multi-Label Learning With Noisy Label Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation. CoRR (2022)
Bo-Shi Zou, Ming-Kun Xie, Sheng-Jun Huang
Meta Objective Guided Disambiguation for Partial Label Learning. CoRR (2022)
Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting. CoRR (2022)
Ming-Kun Xie, Sheng-Jun Huang
Multi-Label Learning with Pairwise Relevance Ordering. NeurIPS (2021)
Ming-Kun Xie, Sheng-Jun Huang
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise. CoRR (2021)
Ming-Kun Xie, Feng Sun, Sheng-Jun Huang
Partial Multi-Label Learning with Meta Disambiguation. KDD (2021)
Ming-Kun Xie, Sheng-Jun Huang
Partial Multi-Label Learning with Noisy Label Identification. AAAI (2020)
Ming-Kun Xie, Sheng-Jun Huang
Semi-Supervised Partial Multi-Label Learning. ICDM (2020)
Ming-Kun Xie, Sheng-Jun Huang
Learning Class-Conditional GANs with Active Sampling. KDD (2019)
Ming-Kun Xie, Sheng-Jun Huang
Partial Multi-Label Learning. AAAI (2018)
Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
Active Feature Acquisition with Supervised Matrix Completion. CoRR (2018)
Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
Active Feature Acquisition with Supervised Matrix Completion. KDD (2018)