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Min-Ling Zhang

45 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

AAAI ×12ICML ×10NeurIPS ×8IJCAI ×6ICLR ×3ACM MM ×2AISTATS ×1CHI ×1CVPR ×1ICDM ×1

Frequent coauthors

Tong Wei
×8
Yong Rui
×4
Wei Tang
×4
Yifan Zhang
×4
Junxiang Mao
×4
Zi-Hao Zhou
×4
Miao Xu
×3
Bin-Bin Jia
×3
Yin-Fang Yang
×3
Weijia Zhang
×3
Dong-Dong Wu
×3
Deng-Bao Wang
×3

Papers

  1. APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval
    AAAI 2026 ·
    Hong Gao
    ,
    Yiming Bao
    ,
    Xuezhen Tu
    ,
    Bin Zhong
    ,
    Linan Yue
    , Min-Ling Zhang
  2. Classifier-induced Reciprocal Points for Multi-label Open-set Recognition
    AAAI 2026 ·
    Yibo Wang
    ,
    Yong Rui
    , Min-Ling Zhang
  3. Collaborative Dual Representations for Semi-Supervised Partial Label Learning
    AAAI 2026 ·
    Wei-Xuan Bao
    ,
    Yong Rui
    , Min-Ling Zhang
  4. ComRank: Ranking Loss for Multi-Label Complementary Label Learning
    NeurIPS 2025 ·
    Jing-Yi Zhu
    ,
    Yi Gao
    ,
    Miao Xu
    , Min-Ling Zhang
  5. Evolutionary Classifier Chain for Multi-Dimensional Classification
    AAAI 2025 ·
    Yu-Yang Zhang
    ,
    Bin-Bin Jia
    , Min-Ling Zhang
  6. Fast Multi-Instance Partial-Label Learning
    AAAI 2025 ·
    Yin-Fang Yang
    ,
    Wei Tang
    , Min-Ling Zhang
  7. Generalization Analysis for Controllable Learning
    ICML 2025 ·
    Yifan Zhang
    ,
    Xiao Zhang
    , Min-Ling Zhang
  8. HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
    AISTATS 2025 ·
    Xin Liu
    ,
    Weijia Zhang
    , Min-Ling Zhang
  9. Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
    AAAI 2025 ·
    Junxiang Mao
    ,
    Yong Rui
    , Min-Ling Zhang
  10. LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
    ICML 2025 ·
    Mao-Lin Luo
    ,
    Zi-Hao Zhou
    ,
    Tong Wei
    , Min-Ling Zhang
  11. Learnware Specification via Dual Alignment
    ICML 2025 ·
    Wei Chen
    ,
    Junxiang Mao
    ,
    Xiaozheng Wang
    , Min-Ling Zhang
  12. Learnware Specification via Label-Aware Neural Embedding
    AAAI 2025 ·
    Wei Chen
    ,
    Junxiang Mao
    , Min-Ling Zhang
  13. Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
    ICLR 2025 ·
    Xiaorui Peng
    ,
    Yuheng Jia
    ,
    Fuchao Yang
    ,
    Ran Wang
    , Min-Ling Zhang
  14. Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
    AAAI 2025 ·
    Yizhi Wang
    ,
    Weijia Zhang
    , Min-Ling Zhang
  15. Radar-Mamba: 4D Millimeter-Wave Point Cloud Enhancement via State Space Models
    ACM MM 2025 ·
    Hong Gao
    ,
    Xiangkai Xu
    ,
    Tianqi Zhu
    ,
    Xiugang Dong
    ,
    Yiming Bao
    , Min-Ling Zhang
  16. Realistic Evaluation of Deep Partial-Label Learning Algorithms
    ICLR 2025 ·
    Wei Wang
    ,
    Dong-Dong Wu
    ,
    Jindong Wang
    ,
    Gang Niu
    , Min-Ling Zhang,
    Masashi Sugiyama
  17. Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency
    ICLR 2025 ·
    Kai Gan
    ,
    Bo Ye
    , Min-Ling Zhang,
    Tong Wei
  18. Tight and Fast Bounds for Multi-Label Learning
    ICML 2025 ·
    Yifan Zhang
    , Min-Ling Zhang
  19. Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification
    ICML 2025 ·
    Teng Huang
    ,
    Bin-Bin Jia
    , Min-Ling Zhang
  20. Weakly-Supervised Contrastive Learning for Imprecise Class Labels
    ICML 2025 ·
    Zi-Hao Zhou
    ,
    Junjie Wang
    ,
    Tong Wei
    , Min-Ling Zhang
  21. Wrapped Partial Label Dimensionality Reduction via Dependence Maximization
    IJCAI 2025 ·
    Xiang-Ru Yu
    ,
    Deng-Bao Wang
    , Min-Ling Zhang
  22. X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection
    NeurIPS 2025 ·
    Tong Wei
    ,
    Bolin Wang
    ,
    Jiang-Xin Shi
    ,
    Yu-Feng Li
    , Min-Ling Zhang
  23. ZzzMate: A Self-Conscious Emotion-Aware Chatbot for Sleep Intervention
    CHI 2025 ·
    Xiao Tang
    ,
    Zhuying Li
    ,
    Xin Sun
    ,
    Xuhai Xu
    , Min-Ling Zhang
  24. Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
    ICML 2024 ·
    Jun-Yi Hang
    , Min-Ling Zhang
  25. Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
    IJCAI 2024 ·
    Bo Ye
    ,
    Kai Gan
    ,
    Tong Wei
    , Min-Ling Zhang
  26. Calibration Bottleneck: Over-compressed Representations are Less Calibratable
    ICML 2024 ·
    Deng-Bao Wang
    , Min-Ling Zhang
  27. Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
    NeurIPS 2024 ·
    Zi-Hao Zhou
    ,
    Siyuan Fang
    ,
    Zi-Jing Zhou
    ,
    Tong Wei
    ,
    Yuanyu Wan
    , Min-Ling Zhang
  28. Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features
    IJCAI 2024 ·
    Teng Huang
    ,
    Bin-Bin Jia
    , Min-Ling Zhang
  29. Disentangled Partial Label Learning
    AAAI 2024 ·
    Wei-Xuan Bao
    ,
    Yong Rui
    , Min-Ling Zhang
  30. Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
    AAAI 2024 ·
    Dong-Dong Wu
    ,
    Deng-Bao Wang
    , Min-Ling Zhang
  31. EAT: Towards Long-Tailed Out-of-Distribution Detection
    AAAI 2024 ·
    Tong Wei
    ,
    Bo-Lin Wang
    , Min-Ling Zhang
  32. Efficient Model Stealing Defense with Noise Transition Matrix
    CVPR 2024 ·
    Dong-Dong Wu
    ,
    Chilin Fu
    ,
    Weichang Wu
    ,
    Wenwen Xia
    ,
    Xiaolu Zhang
    ,
    Jun Zhou
    , Min-Ling Zhang
  33. Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
    IJCAI 2024 ·
    Wei Tang
    ,
    Weijia Zhang
    , Min-Ling Zhang
  34. Generalization Analysis for Label-Specific Representation Learning
    NeurIPS 2024 ·
    Yifan Zhang
    , Min-Ling Zhang
  35. Generalization Analysis for Multi-Label Learning
    ICML 2024 ·
    Yifan Zhang
    , Min-Ling Zhang
  36. Improved Weighted Tensor Schatten p-Norm for Fast Multi-view Graph Clustering
    ACM MM 2024 ·
    Yinghui Sun
    ,
    Xingfeng Li
    ,
    Quansen Sun
    , Min-Ling Zhang,
    Zhenwen Ren
  37. Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
    ICML 2024 ·
    Tong Wei
    ,
    Zhen Mao
    ,
    Zi-Hao Zhou
    ,
    Yuanyu Wan
    , Min-Ling Zhang
  38. Learning Label-Specific Multiple Local Metrics for Multi-Label Classification
    IJCAI 2024 ·
    Junxiang Mao
    ,
    Jun-Yi Hang
    , Min-Ling Zhang
  39. Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
    AAAI 2024 ·
    Yuheng Jia
    ,
    Xiaorui Peng
    ,
    Ran Wang
    , Min-Ling Zhang
  40. Multi-Instance Partial-Label Learning with Margin Adjustment
    NeurIPS 2024 ·
    Wei Tang
    ,
    Yin-Fang Yang
    ,
    Zhaofei Wang
    ,
    Weijia Zhang
    , Min-Ling Zhang
  41. Multi-Label Open Set Recognition
    NeurIPS 2024 ·
    Yibo Wang
    ,
    Jun-Yi Hang
    , Min-Ling Zhang
  42. PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label Learning
    ICDM 2024 ·
    Yin-Fang Yang
    ,
    Wei Tang
    , Min-Ling Zhang
  43. Unlearning from Weakly Supervised Learning
    IJCAI 2024 ·
    Yi Tang
    ,
    Yi Gao
    ,
    Yonggang Luo
    ,
    Jucheng Yang
    ,
    Miao Xu
    , Min-Ling Zhang
  44. Vision-Language Models are Strong Noisy Label Detectors
    NeurIPS 2024 ·
    Tong Wei
    ,
    Hao-Tian Li
    ,
    Chun-Shu Li
    ,
    Jiang-Xin Shi
    ,
    Yufeng Li
    , Min-Ling Zhang
  45. What Makes Partial-Label Learning Algorithms Effective?
    NeurIPS 2024 ·
    Jiaqi Lv
    ,
    Yangfan Liu
    ,
    Shiyu Xia
    ,
    Ning Xu
    ,
    Miao Xu
    ,
    Gang Niu
    , Min-Ling Zhang,
    Masashi Sugiyama
    ,
    Xin Geng