publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. 3D Anomaly Detection: A Survey
    Hanzhe Liang*, Bingyang Guo*, Yawen Huang*, Jiayi Lyu, Can Gao†, Yunkang Cao, Jinbao Wang†, Ruiyun Yu, Llinlin Shen, and Pan Li
    ArXiv Preprint, 2026
  2. MFF-M3AD: A Unified Reconstruction Method with Multi-scale Feature Fusion for Multi-category 3D Anomaly Detection
    Hanzhe Liang, Chenxi Hu, Yejin Tang, Linlin Shen, Jinbao Wang, and Can Gao
    Journal Paper of Neural Networks, 2026
  3. CONTEXTOR: Contextualized High-order Contrastive Learning
    Ze Cai*, Hanzhe Liang*, Sihang Zeng, Binbin Zhou†, and Jun Wen†
    Poster at the Forty-Third International Conference on Machine Learning, 2026
  4. Open-Set Supervised 3D Anomaly Detection: An Industrial Dataset and a Generalisable Framework for Unknown Defects
    Hanzhe Liang*, Luocheng Zhang*, Junyang Xia, HanLiang Zhou, Bingyang Guo, Yingxi Xie, Can Gao, Ruiyun Yu, Jinbao Wang, and Pan Li
    arXiv preprint arXiv:2604.01171, 2026

2025

  1. A lightweight 3D anomaly detection method with rotationally invariant features
    Hanzhe Liang, Jie Zhou, Can Gao, Bingyang Guo, Jinbao Wang, and Linlin Shen
    Journal Paper of Pattern Recognition, 2025
  2. Iec3d-ad: A 3d dataset of industrial equipment components for unsupervised point cloud anomaly detection
    Bingyang Guo, Hongjie Li, Ruiyun Yu, Hanzhe Liang, and Jinbao Wang
    arXiv preprint arXiv:2511.03267, 2025
  3. Taming anomalies with down-up sampling networks: Group center preserving reconstruction for 3d anomaly detection
    Hanzhe Liang, Jie Zhang, Tao Dai, Linlin Shen, Jinbao Wang, and Can Gao
    Oral presentation at the 33rd ACM International Conference on Multimedia, 2025
  4. Look inside for more: Internal spatial modality perception for 3d anomaly detection
    Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao†, and Jinbao Wang†
    Poster at the AAAI Conference on Artificial Intelligence, 2025
  5. Fence theorem: Towards dual-objective semantic-structure isolation in preprocessing phase for 3d anomaly detection
    Hanzhe Liang, Jie Zhou, Xuanxin Chen, Tao Dai, Jinbao Wang, and Can Gao
    arXiv preprint arXiv:2503.01100, 2025
  6. C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
    Haoquan Lu, Hanzhe Liang, Jie Zhang, Chenxi Hu, Jinbao Wang, and Can Gao
    arXiv preprint arXiv:2508.01311, 2025
  7. Examining the source of defects from a mechanical perspective for 3d anomaly detection
    Hanzhe Liang, Aoran Wang, Jie Zhou, Xin Jin, Can Gao, and Jinbao Wang
    arXiv preprint arXiv:2505.05901, 2025
  8. A Unified Contrastive Framework with Test-Time Adaptation for Robust 3D Anomaly Localization
    Linna Liu*, Hanzhe Liang*, Can Gao, Wei Zhuo, Linlin Shen, and Jinbao Wang
    2025
  9. The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results
    Qiuyu Chen, Xin Jin, Yue Song, Xihui Liu, Shuai Yang, Tao Yang, Ziqiang Li, Jianguo Huang, Yuntao Wei, Ba’ao Xie, and others
    The 1st International Workshop and Challenge on Disentangled Representation Learning for Controllable Generation, 2025