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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

Yifan Zhang
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Tong Wei
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Hong Gao
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Yibo Wang
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Wei-Xuan Bao
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Yin-Fang Yang
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Junxiang Mao
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Wei Chen
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Teng Huang
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Zi-Hao Zhou
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Dong-Dong Wu
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Wei Tang
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Papers

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