Hanzhe Liang (梁涵喆)
Shenzhen, China

Since September 2023, I am a student at Shenzhen University and the Shenzhen Audencia Institute in France, pursuing a B.S. in Management (Information Management & Information Systems) and a B.S. in Blockchain Information Systems respectively. Since May 2024, I am a research assistant at the Shenzhen University Computer Vision Institute, under Dr. Can Gao and Dr. Jinbao Wang. Since March 2025, I am a research assistant at the Eastern Institute of Technology, under Dr. Xin Jin and Dr. Wenjun Zeng. Since September 2025, I am a research assistant at the Shanghai Artificial Intelligence Laboratory, under Dr. Aoran Wang and Dr. Shixiang Tang.

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Education
  • Shenzhen University, Shenzhen, China
    Shenzhen University, Shenzhen, China
    Undergraduate Student
    Sep. 2023 - present
  • Audencia Business School, Nantes, France
    Audencia Business School, Nantes, France
    Undergraduate Student
    Sep. 2023 - present
Experience
  • Shanghai Artificial Intelligence Laboratory, Shanghai, China
    Shanghai Artificial Intelligence Laboratory, Shanghai, China
    Research Intern
    Sep. 2025 - present
  • Eastern Institute of Technology (EIT), Ningbo, China
    Eastern Institute of Technology (EIT), Ningbo, China
    Research Intern
    May. 2025 - Sep. 2025
  • Institute of Computer Vision, Shenzhen University, Shenzhen, China
    Institute of Computer Vision, Shenzhen University, Shenzhen, China
    Research Intern
    May. 2024 - present
News
2025
A preprint about 3D anomaly detection has released at Arxiv, we public the code at this GitHub repository.
Aug 02
A paper on 3D anomaly detection accepted by ICCV Workshop (oral), and it will be submitted to a journal for further work.
Jul 25
I received a travel sponsorship from the Audencia at Shenzhen University.
Jul 10
A paper on 3D anomaly detection accepted by MM25. 🎉Congratulations!
Jul 05
I was funded by a provincial National Undergraduate Training Program for Innovation and Entrepreneurship. The project title is High Resolution 3D Anomaly Detection Towards Real Industry.
Jun 08
A preprint about 3D anomaly detection has released at Arxiv, we public the code at this GitHub repository.
May 12
😊 I joined Eastern Institute of Technology (EIT), Ningbo, as an intern.
Apr 01
A preprint about 3D anomaly detection has released at Arxiv.
Mar 02
A paper on 3D anomaly detection accepted by AAAI25. 🎉Congratulations!
Mar 01
Selected Publications (view all )
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
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.,

Under review.

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.,

Under review.

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

Hanzhe Liang, Jie zhou, Xuanxin Chen, Jinbao Wang✝, Can Gao✝,

ICCV Workshop (oral).

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

Hanzhe Liang, Jie zhou, Xuanxin Chen, Jinbao Wang✝, Can Gao✝,

ICCV Workshop (oral).

Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
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' (poster)

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' (poster)

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

Under review.

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,

Under review.

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

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

AAAI25' (poster)

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

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

AAAI25' (poster)

All publications