PPaperPicks

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

Venues

Frequent coauthors

Rong Wang
×8
Zheng Wang
×7
Liaoyuan Tang
×5
Guanxiong He
×4
Jie Wang
×3
Zhezheng Hao
×3
Xianglong Jin
×2
Yuzhe Feng
×1
Yunlong Gao
×1
Da Zhang
×1
Bingyu Li
×1
Zhiyuan Zhao
×1

Papers

  1. Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis
    AAAI 2026 ·
    Yuzhe Feng
    ,
    Yunlong Gao
    , Feiping Nie
  2. FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
    ICDE 2026 ·
    Da Zhang
    ,
    Bingyu Li
    ,
    Zhiyuan Zhao
    , Feiping Nie,
    Junyu Gao
    ,
    Xuelong Li
  3. Highly-Efficient Large-Scale k-means with Individual Fairness
    VLDB 2026 ·
    Shengkun Zhu
    ,
    Jinshan Zeng
    ,
    Yuan Sun
    ,
    Sheng Wang
    ,
    Yiming Wang
    ,
    Yushuai Ji
    , Feiping Nie,
    Xiaodong Li
    ,
    Zhiyong Peng
  4. OSCR-Attack: One-Shot Character Level Attacks through Self-Optimizing Continuous Relaxation
    ACL 2026 ·
    Lingyi Kong
    ,
    Zhuo Liu
    ,
    Zhanghao Hu
    ,
    Qilong Qiu
    ,
    Yutao Yang
    ,
    Jingjing Xue
    ,
    Zheng Wang
    ,
    Lin Gui
    , Feiping Nie
  5. Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding
    AAAI 2026 ·
    Xianglong Jin
    ,
    Zheng Wang
    ,
    Rong Wang
    , Feiping Nie
  6. S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning
    AAAI 2026 ·
    Guanxiong He
    ,
    Zheng Wang
    ,
    Jie Wang
    ,
    Liaoyuan Tang
    ,
    Rong Wang
    , Feiping Nie
  7. Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework
    AAAI 2026 ·
    Guanxiong He
    ,
    Zheng Wang
    ,
    Jie Wang
    ,
    Liaoyuan Tang
    ,
    Rong Wang
    , Feiping Nie
  8. Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering
    IJCAI 2025 ·
    Zhoumin Lu
    ,
    Yongbo Yu
    ,
    Linru Ma
    , Feiping Nie,
    Rong Wang
  9. High-Quality Label Learning in Generalized Category Discovery
    ICDM 2025 ·
    Yu Duan
    ,
    Junzhi He
    , Feiping Nie,
    Quanxue Gao
    ,
    Cheng Deng
  10. Language Pre-training Guided Masking Representation Learning for Time Series Classification
    AAAI 2025 ·
    Liaoyuan Tang
    ,
    Zheng Wang
    ,
    Jie Wang
    ,
    Guanxiong He
    ,
    Zhezheng Hao
    ,
    Rong Wang
    , Feiping Nie
  11. Point-DMAE: Point Cloud Self-supervised Learning via Density-directed Masked Autoencoders
    CIKM 2025 ·
    Xianglong Jin
    ,
    Zheng Wang
    ,
    Wenjie Zheng
    , Feiping Nie
  12. Multi-Class Support Vector Machine with Maximizing Minimum Margin
    AAAI 2024 · Feiping Nie,
    Zhezheng Hao
    ,
    Rong Wang
  13. Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection
    IJCAI 2024 ·
    Liaoyuan Tang
    ,
    Zheng Wang
    ,
    Guanxiong He
    ,
    Rong Wang
    , Feiping Nie
  14. Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
    ICLR 2024 ·
    Yujie Mo
    , Feiping Nie,
    Ping Hu
    ,
    Heng Tao Shen
    ,
    Zheng Zhang
    ,
    Xinchao Wang
    ,
    Xiaofeng Zhu
  15. Simple Multigraph Convolution Networks
    WWW 2024 ·
    Danyang Wu
    ,
    Xinjie Shen
    ,
    Jitao Lu
    ,
    Jin Xu
    , Feiping Nie
  16. Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving
    WWW 2024 ·
    Zhezheng Hao
    ,
    Haonan Xin
    ,
    Long Wei
    ,
    Liaoyuan Tang
    ,
    Rong Wang
    , Feiping Nie