PPaperPicks

Zhiqiang Xu

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

Venues

Frequent coauthors

Zeke Xie
×3
Zikai Zhou
×2
Shitong Shao
×2
Lichen Bai
×2
Xin Cao
×2
Peng Han
×2
Wei Huang
×2
Taiji Suzuki
×2
Dezhong Yao
×1
Tongtong Liu
×1
Yuexin Shi
×1
Xueran Han
×1

Papers

  1. FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients
    WWW 2026 ·
    Dezhong Yao
    ,
    Tongtong Liu
    ,
    Yuexin Shi
    , Zhiqiang Xu
  2. From Style to Story: A Curriculum Learning Approach for Imitative Novel Generation
    ACL 2026 ·
    Xueran Han
    ,
    Yuhan Liu
    ,
    Mingzhe Li
    ,
    Wei Liu
    ,
    Sen Hu
    ,
    Rui Yan
    , Zhiqiang Xu,
    Xiuying Chen
  3. Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings
    SIGKDD 2026 ·
    Tengwei Song
    ,
    Long Yin
    ,
    Zhen Han
    , Zhiqiang Xu
  4. Sharpness-aware Federated Graph Learning
    WSDM 2026 ·
    Ruiyu Li
    ,
    Peige Zhao
    ,
    Guangxia Li
    ,
    Pengcheng Wu
    ,
    Xingyu Gao
    , Zhiqiang Xu
  5. Golden Noise for Diffusion Models: A Learning Framework
    ICCV 2025 ·
    Zikai Zhou
    ,
    Shitong Shao
    ,
    Lichen Bai
    ,
    Shufei Zhang
    , Zhiqiang Xu,
    Bo Han
    ,
    Zeke Xie
  6. OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation
    CIKM 2025 ·
    Xuhui Li
    ,
    Zhengquan Luo
    ,
    Zihui Cui
    ,
    Xin Cao
    , Zhiqiang Xu
  7. Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
    ICML 2025 ·
    Chengqian Gao
    ,
    Haonan Li
    ,
    Liu Liu
    ,
    Zeke Xie
    ,
    Peilin Zhao
    , Zhiqiang Xu
  8. Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
    ICLR 2025 ·
    Lichen Bai
    ,
    Shitong Shao
    ,
    Zikai Zhou
    ,
    Zipeng Qi
    , Zhiqiang Xu,
    Haoyi Xiong
    ,
    Zeke Xie
  9. Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting
    ICDE 2024 ·
    Minbo Ma
    ,
    Jilin Hu
    ,
    Christian S. Jensen
    ,
    Fei Teng
    ,
    Peng Han
    , Zhiqiang Xu,
    Tianrui Li
  10. On the Comparison between Multi-modal and Single-modal Contrastive Learning
    NeurIPS 2024 ·
    Wei Huang
    ,
    Andi Han
    ,
    Yongqiang Chen
    ,
    Yuan Cao
    , Zhiqiang Xu,
    Taiji Suzuki
  11. Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
    AAAI 2024 ·
    Peng Tang
    , Zhiqiang Xu,
    Chunlai Zhou
    ,
    Pengfei Wei
    ,
    Peng Han
    ,
    Xin Cao
    ,
    Tobias Lasser
  12. Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
    ICML 2024 ·
    Dake Bu
    ,
    Wei Huang
    ,
    Taiji Suzuki
    ,
    Ji Cheng
    ,
    Qingfu Zhang
    , Zhiqiang Xu,
    Hau-San Wong