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Peng Zhou

15 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

ACM MM ×5IJCAI ×4AAAI ×3GECCO ×1NeurIPS ×1SIGKDD ×1

Frequent coauthors

Bingbing Jiang
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Liang Du
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Chenglong Zhang
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Jianhao Zhu
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Yan Chen
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Zhaolong Ling
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Jie Yang
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Jiale Zou
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Hang Lu
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Helin Zhao
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Rongwen Li
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Papers

  1. P-MOEBC: A Pairwise Evolutionary Framework for Balanced Clustering
    GECCO 2026 ·
    Jianhao Zhu
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  2. Self-Enhanced Density Clustering for High Dimension and Low Sample Size Data
    SIGKDD 2026 ·
    Bingbing Jiang
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  3. Balanced Multiple Kernel Clustering with Discrete Partition Entropy Auto Regularization
    ACM MM 2025 ·
    Yan Chen
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  4. Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
    AAAI 2025 ·
    Bingbing Jiang
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  5. Local Causal Discovery Without Causal Sufficiency
    AAAI 2025 ·
    Zhaolong Ling
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  6. Multi-view Clustering via Multi-granularity Ensemble
    IJCAI 2025 ·
    Jie Yang
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  7. Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering
    ACM MM 2025 ·
    Jiale Zou
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  8. Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
    AAAI 2025 ·
    Liang Du
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  9. Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation
    IJCAI 2025 ·
    Hang Lu
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  10. Active Deep Multi-view Clustering
    IJCAI 2024 ·
    Helin Zhao
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  11. Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference
    IJCAI 2024 ·
    Chenglong Zhang
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  12. Fair Kernel K-Means: from Single Kernel to Multiple Kernel
    NeurIPS 2024 · Peng Zhou
  13. Fast and Scalable Incomplete Multi-View Clustering with Duality Optimal Graph Filtering
    ACM MM 2024 ·
    Liang Du
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  14. One-Stage Fair Multi-View Spectral Clustering
    ACM MM 2024 ·
    Rongwen Li
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  15. Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion
    ACM MM 2024 ·
    Chenglong Zhang
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