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Quanxue Gao

31 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

AAAI ×11ACM MM ×6IJCAI ×5ICDM ×4CVPR ×2ICCV ×1ICML ×1SIGKDD ×1

Frequent coauthors

Qianqian Wang
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Wei Feng
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Guangyu Yang
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Yu Duan
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Bowen Zhao
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Jing Li
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Fangfang Li
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Yapeng Wang
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Rui Wang
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Haiming Xu
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Yichen Bao
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Guangfei Li
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Papers

  1. Adversarial Fair Incomplete Multi-View Clustering
    AAAI 2026 ·
    Qianqian Wang
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  2. Learning Intrinsic Hierarchy for Generalized Category Discovery
    AAAI 2026 ·
    Yu Duan
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  3. Maximizing Schatten-p Norm Regularization Toward Balance
    AAAI 2026 ·
    Fangfang Li
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  4. Tensorized Label Learning via Balanced Tensor Regression
    AAAI 2026 ·
    Guangyu Yang
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  5. Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering
    AAAI 2026 ·
    Yapeng Wang
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  6. A Simple yet Effective Hypergraph Clustering Network
    IJCAI 2025 ·
    Qianqian Wang
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  7. Anchor Label Guided Co-Clustering via Multi-Anchor Graphs Fusion
    ICDM 2025 ·
    Guangyu Yang
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  8. Attribute-Missing Multi-view Graph Clustering
    CVPR 2025 ·
    Bowen Zhao
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  9. Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression
    ICDM 2025 ·
    Guangyu Yang
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  10. Bi-Orthogonal Non-negative Tensor tri-Factorization for Tensorized Label Learning
    ACM MM 2025 ·
    Rui Wang
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  11. Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
    AAAI 2025 ·
    Qianqian Wang
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  12. Deep Fair Multi-View Clustering with Attention KAN
    CVPR 2025 ·
    Haiming Xu
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  13. Deep Multi-modal Graph Clustering via Graph Transformer Network
    AAAI 2025 ·
    Qianqian Wang
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  14. Efficient Multi-view Clustering via Reinforcement Contrastive Learning
    IJCAI 2025 ·
    Qianqian Wang
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  15. High-Quality Label Learning in Generalized Category Discovery
    ICDM 2025 ·
    Yu Duan
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  16. Hypergraph Clustering Network with Partial Attribute Imputation
    ICCV 2025 ·
    Qianqian Wang
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  17. Multi-view Clustering Based on Probabilistic Tensor Regression
    ACM MM 2025 ·
    Yichen Bao
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  18. Multi-view Collaborative Representation Learning from Noisy Labels for VHR Imagery Classification
    ACM MM 2025 ·
    Guangfei Li
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  19. Orthogonal Semi-Nonnegative Tensor Factorization Based Tensorized Label Learning
    ICDM 2025 ·
    Yuxuan Liu
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  20. Tensorized Label Learning Based Fast Fuzzy Clustering
    AAAI 2025 ·
    Xingyu Xue
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  21. Unified K-Means Clustering with Label-Guided Manifold Learning
    ICML 2025 ·
    Qianqian Wang
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  22. DFMVC: Deep Fair Multi-view Clustering
    ACM MM 2024 ·
    Bowen Zhao
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  23. Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means
    IJCAI 2024 ·
    Wei Feng
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  24. Embedded Feature Selection on Graph-Based Multi-View Clustering
    AAAI 2024 ·
    Wenhui Zhao
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  25. Federated Fuzzy C-means with Schatten-p Norm Minimization
    ACM MM 2024 ·
    Wei Feng
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  26. Federated Multi-View Clustering via Tensor Factorization
    IJCAI 2024 ·
    Wei Feng
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  27. Label Learning Method Based on Tensor Projection
    SIGKDD 2024 ·
    Jing Li
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  28. Multi-View Clustering Based on Deep Non-negative Tensor Factorization
    ACM MM 2024 ·
    Wei Feng
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  29. Partial Multi-View Clustering via Self-Supervised Network
    AAAI 2024 ·
    Wei Feng
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  30. Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning
    IJCAI 2024 ·
    Qianqian Wang
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  31. Tensorized Label Learning on Anchor Graph
    AAAI 2024 ·
    Jing Li
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