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Feiping Nie

Northwestern Polytechnical University, School of Computer Science, OPTIMAL, Xi'an, China

16 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

AAAI ×6IJCAI ×2WWW ×2ACL ×1CIKM ×1ICDE ×1ICDM ×1ICLR ×1VLDB ×1

Frequent coauthors

Xianglong Jin
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Guanxiong He
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Liaoyuan Tang
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Yuzhe Feng
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Da Zhang
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Shengkun Zhu
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Lingyi Kong
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Zhoumin Lu
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Yu Duan
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Yujie Mo
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Danyang Wu
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Zhezheng Hao
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Papers

  1. Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis
    AAAI 2026 ·
    Yuzhe Feng
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  2. FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
    ICDE 2026 ·
    Da Zhang
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  3. Highly-Efficient Large-Scale k-means with Individual Fairness
    VLDB 2026 ·
    Shengkun Zhu
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  4. OSCR-Attack: One-Shot Character Level Attacks through Self-Optimizing Continuous Relaxation
    ACL 2026 ·
    Lingyi Kong
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  5. Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding
    AAAI 2026 ·
    Xianglong Jin
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  6. S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning
    AAAI 2026 ·
    Guanxiong He
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  7. Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework
    AAAI 2026 ·
    Guanxiong He
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  8. Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering
    IJCAI 2025 ·
    Zhoumin Lu
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  9. High-Quality Label Learning in Generalized Category Discovery
    ICDM 2025 ·
    Yu Duan
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  10. Language Pre-training Guided Masking Representation Learning for Time Series Classification
    AAAI 2025 ·
    Liaoyuan Tang
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  11. Point-DMAE: Point Cloud Self-supervised Learning via Density-directed Masked Autoencoders
    CIKM 2025 ·
    Xianglong Jin
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  12. Multi-Class Support Vector Machine with Maximizing Minimum Margin
    AAAI 2024 · Feiping Nie
  13. Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection
    IJCAI 2024 ·
    Liaoyuan Tang
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  14. Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
    ICLR 2024 ·
    Yujie Mo
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  15. Simple Multigraph Convolution Networks
    WWW 2024 ·
    Danyang Wu
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  16. Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving
    WWW 2024 ·
    Zhezheng Hao
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