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.
CV
Education
- 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
Work experience
- 02/2024 - 08/2024: 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
Skills
- Python
- C++
Publications
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.
Services
- Journal Reviewer:
- IEEE TMM / T-CSVT / TAI
- Information Sciences
- Conference Reviewer:
- ACM MM 2023 & 24
- AAAI 2023