publications

2026

1. 

   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

   IEEE Transactions on Circuits and Systems for Video Technology, 2026

2. 

   MVFM-3DAD: Multi-view Flow Matching for 3D Anomaly Detection via Density Proxy Estimation

   Liangwei Li, Lin Liu, Jing Zhang, Xiaohui Du, Ruqian Hao, Juanxiu Liu, and Hanzhe Liang^†

   The 14th International Conference on Image and Graphics, 2026

3. 

   An Information-aware Reconstruction Model for Multi-category 3D Anomaly Detection

   Hanzhe Liang, Can Gao^†, Zehai Niu, Jie Zhang, Jinbao Wang, and Linlin Shen

   IEEE Transactions on Artificial Intelligence, 2026

4. 

   BinaryAD: Efficient Image Anomaly Detection via Binarized Representations

   Junjie Chen, Wenjing Zhang, Pengfei Wang, Bingyang Guo, Hanzhe Liang, Linlin Shen, Jinbao Wang, and Zhichao Lu

   Pattern Recognition, 2026

5. 

   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

   Neural Networks, 2026

6. 

   CONTEXTOR: Contextualized High-order Contrastive Learning

   Ze Cai^*, Hanzhe Liang^*, Sihang Zeng, Binbin Zhou^†, and Jun Wen^†

   The Forty-Third International Conference on Machine Learning, 2026
7. 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

   Pattern Recognition, 2025

2. 

   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

   The 33rd ACM International Conference on Multimedia, 2025

3. 

   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^†

   The Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
4. 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
5. 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
6. 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
7. 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
8. 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 on Disentangled Representation Learning for Controllable Generation, 2025