I am currently a PhD Candidate at the School of Information, Xiamen University, Xiamen, advised by Fei Yuan (袁飞). From 2023 to 2024, I was a visiting student with the School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, advised by Chao Huang (黄超). My research interests include machine learning and computer vision, especially multi-view/multimodal representation learning and anomaly detection.

News

• 2025.04: Our paper is accepted by IJCAI 2025!
• 2024.12: Our paper is accepted by TIM!
• 2024.04: Our paper is accepted by IJCAI 2024!

Publications

Conference Papers

• Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection. Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, IJCAI 2025 (First author)
• Multimodal Representation Distribution Learning for Medical Image Segmentation. Chao Huang, Weichao Cai*, Qiuping Jiang, Zhihua Wang, IJCAI 2024 (Corresponding author) [code]

Journal Papers

• A State Space Model-Driven Multiscale Attention Method for Geological Hazard Segmentation. Juan Yang, Weichao Cai, Gao Chen, Jingwen Yan, IEEE Transactions on Instrumentation and Measurement, 2024 [code]
• Multiscale Global Attention for Abnormal Geological Hazard Segmentation. Weichao Cai, Weiliang Huang, Lin Tian, Chao Huang, Jingwen Yan*, IEEE Sensor Journal, 2024

Educations

• 2024.09 - Now, School of Information, Xiamen University, Xiamen, China
• 2021.10 - 2024.06, College of Engineering, Shantou University, Shantou, China
• 2017.09 - 2021.06, School of Ocean Information Engineering, Jimei University, Xiamen, China

Academic Service

• Journal Reviewers of IEEE TNNLS, IEEE TCSVT, Pattern Recognition (PR).
• Program Committee Members of ICLR, ACM MM, IJCAI.