Xiaoyang Wang (王晓阳)

PhD @ University of Liverpool
MSc @ University of Edinburgh

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I am currently a researcher at the Shanghai AI Laboratory. I received my Ph.D. in EEE from University of Liverpool in 2024, under the supervision of Prof. Jimin Xiao. My research focuses on label-efficient learning in the field of computer vision, including:

  • Semantic Segmentation
  • Semi-supervised Learning
  • Zero/Few-shot Industrial Anomaly Detection

news

Dec 09, 2025 One paper on anomaly detection is accepted by AAAI 2025.
Sep 06, 2024 We win the 3rd place in One Shot Industrial Defect Segmentation Challenge (ECCV2024)!
Mar 02, 2024 Two papers are accepted by CVPR 2024.
Jun 01, 2023 One paper is accepted by ICCV 2023.
Feb 01, 2023 One paper is accepted by CVPR 2023.

selected publications

  1. CVPR
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    Hunting sparsity: Density-guided contrastive learning for semi-supervised semantic segmentation
    Xiaoyang Wang, Bingfeng Zhang, Limin Yu, and 1 more author
    In CVPR, 2023
  2. ICCV
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    FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction
    Zheng FangXiaoyang Wang, and Jimin Xiao
    In ICCV, 2023
  3. CVPR
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    Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
    Xiaoyang Wang, Huihui Bai, Limin Yu, and 2 more authors
    In CVPR, 2024