Hanzhe Liang

According to our database, Hanzhe Liang authored at least 12 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection.

Haibo Xiao, Hanzhe Liang, Jie Zhou, Jinbao Wang, Can Gao

CoRR, May, 2026

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, Pan Li

CoRR, April, 2026

A lightweight 3D anomaly detection method with rotationally invariant features.

Hanzhe Liang, Jie Zhou, Can Gao, Bingyang Guo, Jinbao Wang, Linlin Shen

Pattern Recognit., 2026

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, Can Gao

Neural Networks, 2026

2025

A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features.

Hanzhe Liang, Jie Zhou, Can Gao, Bingyang Guo, Jinbao Wang, Linlin Shen

CoRR, November, 2025

IEC3D-AD: A 3D Dataset of Industrial Equipment Components for Unsupervised Point Cloud Anomaly Detection.

Bingyang Guo, Hongjie Li, Ruiyun Yu, Hanzhe Liang, Jinbao Wang

CoRR, November, 2025

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, Baao Xie, Nicu Sebe, Wenjun Zeng, Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amir Habibian, Auke J. Wiggers, Masato Kobayashi, Ning Ding, Toru Tamaki, Marzieh Gheisari, Auguste Genovesio, Yuheng Chen, Dingkun Liu, Xinyao Yang, Xinping Xu, Baicheng Chen, Dongrui Wu, Junhao Geng, Lexiang Lv, Jianxin Lin, Hanzhe Liang, Jie Zhou, Xuanxin Chen, Jinbao Wang, Can Gao, Zhangyi Wang, Zongze Li, Bihan Wen, Yixin Gao, Xiaohan Pan, Xin Li, Zhibo Chen, Baorui Peng, Zhongming Chen, Haoran Jin

CoRR, September, 2025

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor.

Haoquan Lu, Hanzhe Liang, Jie Zhang, Chenxi Hu, Jinbao Wang, Can Gao

CoRR, August, 2025

Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection.

Hanzhe Liang, Aoran Wang, Jie Zhou, Xin Jin, Can Gao, Jinbao Wang

CoRR, May, 2025

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, Can Gao

CoRR, March, 2025

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, Can Gao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection.

Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025