Theme

Hanzhe Liang

3D Anomaly Detection · Spatial Intelligence · Drug Repurposing

Shenzhen, China

About

I am Hanzhe Liang. My research interests include 3D anomaly detection and spatial intelligence, and my doctoral research will focus on drug repurposing and repositioning.

From 2023 to 2026, I completed my undergraduate studies in Shenzhen and received a dual degree in Science from Shenzhen University and Management from Audencia Business School.

I conducted research at the Computer Vision Institute of Shenzhen University and later at the Digital Twin Institute of East Tech University.

I will join the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) as a Ph.D. student in 2026.

Research Interests

  • 3D Anomaly Detection
  • Spatial Intelligence & Digital Twin
  • Drug Repurposing & Repositioning

Timeline

2026 (expected)

Ph.D. Study at MBZUAI

2025 – 2026

Research Assistantship, Digital Twin Institute, East Tech University

2023 – 2025

Research Assistantship, Computer Vision Institute, Shenzhen University

2023 – 2026

Undergraduate student, Shenzhen University & Audencia

Works

Selected papers & resources

cover

A Unified Contrastive Framework with Test-Time Adaptation for Robust 3D Anomaly Localization

Linna Liu*, Hanzhe Liang*, Can Gao, Wei Zhuo, Linlin Shen, Jinbao Wang

Under review 2025-12-08
cover

3D Anomaly Detection: A Survey

Hanzhe Liang*, Bingyang Guo*, Yawen Huang*, Jiayi Lyu, Can Gao✝, Yunkang Cao, Jinbao Wang✝, Ruiyun Yu, Linlin Shen, Pan Li

Under review 2025-11-10 Code
cover

A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features

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

Pattern Recognition 2025-11-08
cover

IEC3D-AD: Industrial Equipment Components Dataset for 3D Anomaly Detection

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

Under review 2025-11-01
cover

C3D-AD: Continual 3D Anomaly Detection via Kernel Attention

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

Under review 2025-08-02
cover

Fence Theorem: Dual-Objective Semantic-Structure Isolation in Preprocessing for 3D Anomaly Detection

Hanzhe Liang, Jie Zhou, Xuanxin Chen, Jinbao Wang, Can Gao

ICCV Workshop (oral) 2025-07-20
cover

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

MM25 (oral) 2025-07-04
cover

Examining the Source of Defects for 3D Anomaly Detection

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

Under review 2025-05-13
cover

Look Inside for More: Internal Spatial Modality Perception

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

AAAI25 (poster) 2025-01-01