Min-Ling Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 116

Top Venues

Publications

Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
Partial label learning with emerging new labels. Mach. Learn. 113 (4) (2024)
Wei-Xuan Bao, Yong Rui, Min-Ling Zhang
Disentangled Partial Label Learning. AAAI (2024)
Shuo Zhang, Jianqing Li, Hamido Fujita, Yu-Wen Li, Deng-Bao Wang, Tingting Zhu, Min-Ling Zhang, Chengyu Liu
Student Loss: Towards the Probability Assumption in Inaccurate Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Kai Gan, Tong Wei, Min-Ling Zhang
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning. CoRR (2024)
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning. AAAI (2024)
Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. AAAI (2024)
Tong Wei, Bo-Lin Wang, Min-Ling Zhang
EAT: Towards Long-Tailed Out-of-Distribution Detection. AAAI (2024)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Multi-instance partial-label learning: towards exploiting dual inexact supervision. Sci. China Inf. Sci. 67 (3) (2024)
Yu Zhang, Zhengjie Chen, Tianyu Xu, Junjie Zhao, Siya Mi, Xin Geng, Min-Ling Zhang
Temporal segment dropout for human action video recognition. Pattern Recognit. 146 (2024)
Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang
Multiple-instance Learning from Triplet Comparison Bags. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
Partial-Label Regression. AAAI (2023)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning. NeurIPS (2023)
Bin-Bin Jia, Min-Ling Zhang
Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations. Pattern Recognit. 138 (2023)
Teng Huang, Bin-Bin Jia, Min-Ling Zhang
Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification. IJCAI (2023)
Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
Binary Classification with Confidence Difference. NeurIPS (2023)
Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. CoRR (2023)
Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. IJCAI (2023)
Bin-Bin Jia, Jun-Ying Liu, Jun-Yi Hang, Min-Ling Zhang
Learning label-specific features for decomposition-based multi-class classification. Frontiers Comput. Sci. 17 (6) (2023)
Yu Shi, Dong-Dong Wu, Xin Geng, Min-Ling Zhang
Robust Representation Learning for Unreliable Partial Label Learning. CoRR (2023)
Zhaofei Wang, Weijia Zhang, Min-Ling Zhang
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection. CoRR (2023)
Hanwen Deng, Weijia Zhang, Min-Ling Zhang
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning. CoRR (2023)
Yi Gao, Miao Xu, Min-Ling Zhang
Complementary to Multiple Labels: A Correlation-Aware Correction Approach. CoRR (2023)
Yuheng Jia, Chongjie Si, Min-Ling Zhang
Complementary Classifier Induced Partial Label Learning. CoRR (2023)
Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
Binary Classification with Confidence Difference. CoRR (2023)
Yi Gao, Miao Xu, Min-Ling Zhang
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning. IJCAI (2023)
Yifan Zhang, Min-Ling Zhang
Nearly-tight Bounds for Deep Kernel Learning. ICML (2023)
Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang
Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Yuheng Jia, Chongjie Si, Min-Ling Zhang
Complementary Classifier Induced Partial Label Learning. KDD (2023)
Jun-Yi Hang, Min-Ling Zhang
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation. NeurIPS (2023)
Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang
Can Label-Specific Features Help Partial-Label Learning? AAAI (2023)
Bing-Qing Liu, Bin-Bin Jia, Min-Ling Zhang
Towards Enabling Binary Decomposition for Partial Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
On the Pitfall of Mixup for Uncertainty Calibration. CVPR (2023)
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
Partial-Label Regression. CoRR (2023)
Jun-Xiang Mao, Wei Wang, Min-Ling Zhang
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps. IJCAI (2023)
Bin-Bin Jia, Min-Ling Zhang
Multi-Dimensional Classification via Decomposed Label Encoding. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Tong Wei, Bo-Lin Wang, Min-Ling Zhang
EAT: Towards Long-Tailed Out-of-Distribution Detection. CoRR (2023)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning. CoRR (2023)
Zhuying Li, Si Cheng, Wei Wang, Min-Ling Zhang
(Re-)connecting with Nature in Urban Life: Engaging with Wildlife via AI-powered Wearables. MobileHCI (Adjunct) (2022)
Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization. NeurIPS (2022)
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. NeurIPS (2022)
Min-Ling Zhang, Xiu-Shen Wei, Gao Huang
Preface. J. Comput. Sci. Technol. 37 (3) (2022)
Bin-Bin Jia, Min-Ling Zhang
Maximum Margin Multi-Dimensional Classification. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Min-Ling Zhang, Jun-Peng Fang, Yi-Bo Wang
BiLabel-Specific Features for Multi-Label Classification. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision. CoRR (2022)
Deng-Bao Wang, Min-Ling Zhang, Li Li
Adaptive Graph Guided Disambiguation for Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Min-Ling Zhang, Jing-Han Wu, Wei-Xuan Bao
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification. AAAI (2022)
Wei Wang, Min-Ling Zhang
Partial Label Learning with Discrimination Augmentation. KDD (2022)
Yi-Bo Wang, Jun-Yi Hang, Min-Ling Zhang
Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble. IEEE CAA J. Autom. Sinica 9 (7) (2022)
Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
Multi-label Classification with High-rank and High-order Label Correlations. CoRR (2022)
Bin-Bin Jia, Min-Ling Zhang
Decomposition-Based Classifier Chains for Multi-Dimensional Classification. IEEE Trans. Artif. Intell. 3 (2) (2022)
Jun-Yi Hang, Min-Ling Zhang
Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
Revisiting Consistency Regularization for Deep Partial Label Learning. ICML (2022)
Bin-Bin Jia, Min-Ling Zhang
Multi-dimensional Classification via Selective Feature Augmentation. Int. J. Autom. Comput. 19 (1) (2022)
Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
A Survey on Extreme Multi-label Learning. CoRR (2022)
Jun-Yi Hang, Min-Ling Zhang
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification. ICML (2022)
Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang
Submodular Feature Selection for Partial Label Learning. KDD (2022)
Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang
Towards Learning Causal Representations from Multi-Instance Bags. CoRR (2022)
Ze-Bang Yu, Min-Ling Zhang
Multi-Label Classification With Label-Specific Feature Generation: A Wrapped Approach. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. CoRR (2022)
Yao Zhang, Wenping Fan, Qichen Hao, Xinya Wu, Min-Ling Zhang
CAFE and SOUP: Toward Adaptive VDI Workload Prediction. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Prototypical Classifier for Robust Class-Imbalanced Learning. PAKDD (2) (2022)
Yu-Xuan Shi, Deng-Bao Wang, Min-Ling Zhang
Partial Label Learning with Gradually Induced Error-Correction Output Codes. ICONIP (1) (2022)
Min-Ling Zhang, Yu-Kun Li, Hao Yang, Xu-Ying Liu
Towards Class-Imbalance Aware Multi-Label Learning. IEEE Trans. Cybern. 52 (6) (2022)
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence. NeurIPS (2021)
Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang
Learning from Noisy Labels with Complementary Loss Functions. AAAI (2021)
Min-Ling Zhang, Sheng-Jun Huang, Mingsheng Long
Preface. J. Comput. Sci. Technol. 36 (3) (2021)
Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang
Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization. KDD (2021)
Zhen-Ru Zhang, Qian-Wen Zhang, Yunbo Cao, Min-Ling Zhang
Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning. AAAI (2021)
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Instance-Dependent Partial Label Learning. NeurIPS (2021)
Min-Ling Zhang, Qian-Wen Zhang, Jun-Peng Fang, Yu-Kun Li, Xin Geng
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Min-Ling Zhang, Jun-Peng Fang
Partial Multi-Label Learning via Credible Label Elicitation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
Bin-Bin Jia, Min-Ling Zhang
Multi-Dimensional Classification via Sparse Label Encoding. ICML (2021)
Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Lei Miao, Xin Geng, Min-Ling Zhang
Learning from Noisy Labels via Dynamic Loss Thresholding. CoRR (2021)
Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang
Correlation-Guided Representation for Multi-Label Text Classification. IJCAI (2021)
Yi Gao, Min-Ling Zhang
Discriminative Complementary-Label Learning with Weighted Loss. ICML (2021)
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
Learning from Complementary Labels via Partial-Output Consistency Regularization. IJCAI (2021)
Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu
Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. KDD (2021)
Wen-Ping Fan, Yao Zhang, Qichen Hao, Xinya Wu, Min-Ling Zhang
BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling. IJCAI (2021)
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Instance-Dependent Partial Label Learning. CoRR (2021)
Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Prototypical Classifier for Robust Class-Imbalanced Learning. CoRR (2021)
Yan-Ping Sun, Min-Ling Zhang
Compositional metric learning for multi-label classification. Frontiers Comput. Sci. 15 (5) (2021)
Yu Zhang, Yin Wang, Xu-Ying Liu, Siya Mi, Min-Ling Zhang
Large-scale multi-label classification using unknown streaming images. Pattern Recognit. 99 (2020)
Jing-Han Wu, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang
Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning. KDD (2020)
Min-Ling Zhang, Yu-Feng Li, Qi Liu
Preface. J. Comput. Sci. Technol. 35 (2) (2020)
Bin-Bin Jia, Min-Ling Zhang
Md-knn: An Instance-based Approach for Multi-Dimensional Classification. ICPR (2020)
Wei Wang, Min-Ling Zhang
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization. NeurIPS (2020)
Bin-Bin Jia, Min-Ling Zhang
NN feature augmentation. Pattern Recognit. 106 (2020)
Ze-Sen Chen, Xuan Wu, Qing-Guo Chen, Yao Hu, Min-Ling Zhang
Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation. AAAI (2020)
Bin-Bin Jia, Min-Ling Zhang
Maximum Margin Multi-Dimensional Classification. AAAI (2020)
Bin-Bin Jia, Min-Ling Zhang
Multi-dimensional classification via stacked dependency exploitation. Sci. China Inf. Sci. 63 (12) (2020)
Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features. AAAI (2019)
Yan Cui, Jielin Jiang, Zuojin Hu, Xiaoyan Jiang, Wuxia Yan, Min-Ling Zhang
Neighborhood kinship preserving hashing for supervised learning. Signal Process. Image Commun. 76 (2019)
Xu-Ying Liu, Sheng-Tao Wang, Min-Ling Zhang
Transfer synthetic over-sampling for class-imbalance learning with limited minority class data. Frontiers Comput. Sci. 13 (5) (2019)
Ze-Sen Chen, Min-Ling Zhang
Multi-Label Learning with Regularization Enriched Label-Specific Features. ACML (2019)
Deng-Bao Wang, Li Li, Min-Ling Zhang
Adaptive Graph Guided Disambiguation for Partial Label Learning. KDD (2019)
Jun-Peng Fang, Min-Ling Zhang
Partial Multi-Label Learning via Credible Label Elicitation. AAAI (2019)
Bin-Bin Jia, Min-Ling Zhang
Multi-Dimensional Classification via kNN Feature Augmentation. AAAI (2019)
Jing-Han Wu, Min-Ling Zhang
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction. KDD (2019)
Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang
Multi-View Multi-Label Learning with View-Specific Information Extraction. IJCAI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Min-Ling Zhang