Guanzhou Ke, Shengfeng He, Xiao-Li Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Xie Yi and HeXing Su, "Knowledge Bridger: Towards Training-free Missing Multi-modality Completion ", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, 2025.
CV
(Download CV in PDF: EN / δΈζ)
π Education
- (CSC) Visiting PhD Student in Computer Science, School of Computing and Information Systems, Singapore Management University, Singapore, 2024 - 2025, advisor: Prof. Shengfeng He.
- Ph.D in Information Management, Beijing Jiaotong University, 2026 (expected).
- M.S. in System Engineering, Wuyi University, Jiangmen, China, 2022.
- B.S. in Communication Engineering, Wuyi University, Jiangmen, China, 2019.
- Associate Degree, in Software Engineering, Guangdong Environmental Protection Engineering Vocational College, Foshan, China, 2017.
πΌ Work experience
- 02/2024 - 10/2024: Research Intern
- Microsoft Research Lab - Asia (MSRA), Shanghai AI/ML Group.
- Duties: Study medical report automatic generation technique.
- Mentor: Xinyang Jiang.
- 06/2023 - 12/2023: Research Intern
- The Institute of Automation, Chinese Academy of Sciences.
- Duties: Collect Deepfake data, including AIGC, Face swap, etc., and train model to detect fake information. (focus on multi-modalities, such as text and images).
- Mentor: Bo Wang.
π οΈ Skills
- Python
π Publications
Xiao-Li Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, and Jun Liu, "Global-Semantic Alignment Distillation for Partial Multi-view Classification ", The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
Yuanyang Zhang, Weiqing Yan, Yijie Lin, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, and Jie Xu, "Incomplete Multi-view Clustering via Diffusion Contrastive Generation ", The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
Guanzhou Ke, Bo Wang, Xiaoli Wang, and Shengfeng He, "Rethinking Multi-view Representation Learning via Distilled Disentangling ", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2024.
Xiaoli Wang, Yongli Wang, Guanzhou Ke, Yupeng Wang, and Xiaobin Hong, "Knowledge distillation-driven semi-supervised multi-view classification ", Information Fusion, 2023.
Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, and Yang Yu, "A Clustering-guided Contrastive Fusion for Multi-view Representation Learning ", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, and Shengfeng He, "Disentangling Multi-view Representations Beyond Inductive Bias ", The 31st ACM International Conference on Multimedia (ACM MM 2023), 2023.
Guanzhou Ke, Yongqi Zhu, and Yang Yu, "MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion ", ICDM workshop, 2022.
Guanzhou Ke, Zhiyong Hong, Wenhua Yu, Xin Zhang, and Zeyi Liu, "Efficient Multi-view Clustering Networks ", Applied Intelligence Springer, 2022.
Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie, "CONAN: Contrastive Fusion Networks for Multi-view Clustering ", IEEE International Conference on Big Data (Big Data), 2021.
π€ Services
- Journal Reviewer:
- IEEE Transactions on Multimedia
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Circuits and Systems for Video Technology
- Information Sciences
- Conference Reviewer:
- AAAI Conference on Artificial Intelligence (2023)
- ACM Multimedia 2023-2024