🕰️ Bio
I’m (Gavin) Guanzhou Ke, a Ph.D. candidate in Information Management at Beijing Jiaotong University (B.S. in Communication Engineering and M.S. in Systems Engineering from Wuyi University, 2019 and 2022). I work on multi-view / multi-modal representation learning, with a focus on incomplete or missing views and modalities and on fusion that remains expressive when data are partial.
My research has appeared at top venues including ICML, ICCV, CVPR, AAAI, and ACM MM (see News and publications below). Along the way I have been a CSC visiting Ph.D. student at Singapore Management University (with Prof. Shengfeng He) and have interned at Microsoft Research Asia and the Institute of Automation, CAS on multimodal and reliability-oriented problems. Recently I focus on embodied AI for UAVs, linking representation learning to vision-and-language navigation (VLN) and vision–language–action (VLA)-style autonomy.
Download my full CV as English PDF or 中文 PDF.
🎯 Interested
Embodied AI (UAV), Unified Visual Understanding and Generation, Large Multimodal models, Missing modality completion.
🔥 Status
I expect to graduate from Beijing Jiaotong University in June 2026. I am currently with Avant Robotics in Shenzhen, working on UAV intelligence—including high-quality benchmarks and stronger autonomous-drone algorithms that combine VLN and VLA (and related multimodal planning and control). Colleagues and peers in similar areas are very welcome to reach out; I enjoy exchanging ideas.
💼 Internships
- 12/2025 – Now: Research Intern
- Avant Robotics, Shenzhen, China.
- Duties: Design intelligent benchmarks for UAV autonomy, and develop hierarchical “big-brain / small-brain” algorithms for drones—covering high-level vision-and-language navigation (VLN), UAV vision–language–action (UAV-VLA), and related multimodal planning and control stacks.
- Mentor: Zhenguo Li.
- 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.
📣 News
- [05/2026], one papers is accepted in ICML 2026 (CCF A).
- [03/2026], one papers is accepted in CVPR 2026 Findings (CCF A).
- [06/2025], one papers is accepted in ICCV 2025 (CCF A).
- [02/2025], one papers is accepted in CVPR 2025 (CCF A).
- [12/2024], two papers are accepted in AAAI 2025 (CCF A).
- [10/2024], as CSC visiting PhD student (1 year) at Singapore Management University.
- [02/2024], as an intern in the AI4Science group at Microsoft Research Asia Shanghai.
- [02/2024], one paper is accepted in CVPR 24 (CCF A).
- [10/2023], one paper is accepted in Information Fusion.
- [07/2023], one paper is accepted in ACM MM 2023. (CCF A)
- [10/2022], one paper is accepted in ICDM Workshop 2022. (CCF B)
- [09/2022], is studied at Beijing Jiaotong University. (Ph.D.)
- [12/2021], one paper is accepted in IEEE Bigdata 2021. (CCF C)
📄 Selected Publications
Knowledge Bridger: Towards Training-free Missing Multi-modality Completion Guanzhou Ke, Shengfeng He, Xiao-Li Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Xie Yi and HeXing Su IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Rank: CCF A , MISC: [PDF] [CODE] Rethinking Multi-view Representation Learning via Distilled Disentangling Guanzhou Ke, Bo Wang, Xiaoli Wang, Shengfeng He IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Rank: CCF A , MISC: [PDF] [CODE] Disentangling Multi-view Representations Beyond Inductive Bias Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, and Shengfeng He The 31st ACM International Conference on Multimedia (ACM MM 2023) Rank: CCF A , MISC: [PDF] [CODE] CONAN: Contrastive Fusion Networks for Multi-view Clustering Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie IEEE International Conference on Big Data (Big Data) Rank: CCF C , MISC: [PDF] [CODE]
📄 Full Publications
You can also find my articles on my Google Scholar profile.
2026
Reliable Neighborhood-Aware Multi-View Outlier Detection Huijie Ma, Haoyuan Xin, Lei Meng, Guanzhou Ke, Yongyong Chen, Guoqing Chao International Conference on Machine Learning (ICML), 2026 Rank: CCF A , MISC: [PDF] [CODE] OKGraph: Online Knowledge Graph Probing for Open-vocabulary Recognition Junhui Yin, Zhizhen Cai, Puze Wang, Guanzhou Ke, Jianhua Yang, Man Zhang, Qiang Zhang, and Shengfeng He IEEE/CVF Conference on Computer Vision and Pattern Recognition Findings Track (CVPR Findings), 2026 Rank: CCF A , MISC: [PDF] [CODE] 2025
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning Jiang Yuan, JI Ma, Bo Wang, Guanzhou Ke, Weiming Hu International Conference on Computer Vision (ICCV), 2025 Rank: CCF A , MISC: [PDF] [CODE] Knowledge Bridger: Towards Training-free Missing Multi-modality Completion Guanzhou Ke, Shengfeng He, Xiao-Li Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Xie Yi and HeXing Su IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Rank: CCF A , MISC: [PDF] [CODE] Global-Semantic Alignment Distillation for Partial Multi-view Classification Xiao-Li Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, and Jun Liu The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) Rank: CCF A , MISC: [PDF] [CODE] Incomplete Multi-view Clustering via Diffusion Contrastive Generation Yuanyang Zhang, Weiqing Yan, Yijie Lin, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, and Jie Xu The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) Rank: CCF A , MISC: [PDF] [CODE] 2024
Rethinking Multi-view Representation Learning via Distilled Disentangling Guanzhou Ke, Bo Wang, Xiaoli Wang, and Shengfeng He IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Rank: CCF A , MISC: [PDF] [CODE] 2023
Knowledge distillation-driven semi-supervised multi-view classification Xiaoli Wang, Yongli Wang, Guanzhou Ke, Yupeng Wang, and Xiaobin Hong Information Fusion Rank: SCI Q1 , MISC: [PDF] [CODE] A Clustering-guided Contrastive Fusion for Multi-view Representation Learning Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, and Yang Yu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Rank: CCF B , MISC: [PDF] [CODE] Disentangling Multi-view Representations Beyond Inductive Bias Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, and Shengfeng He The 31st ACM International Conference on Multimedia (ACM MM 2023) Rank: CCF A , MISC: [PDF] [CODE] 2022
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion Guanzhou Ke, Yongqi Zhu, and Yang Yu ICDM workshop Rank: CCF B , MISC: [PDF] [CODE] Efficient Multi-view Clustering Networks Guanzhou Ke, Zhiyong Hong, Wenhua Yu, Xin Zhang, and Zeyi Liu Applied Intelligence Springer Rank: CCF C , MISC: [PDF] [CODE] 2021
CONAN: Contrastive Fusion Networks for Multi-view Clustering Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie IEEE International Conference on Big Data (Big Data) Rank: CCF C , MISC: [PDF] [CODE] 🤝 Services
- Journal Reviewer:
- IEEE TMM / T-CSVT / T-NNLS
- Information Sciences
- Conference Reviewer:
- ACM MM 2023 & 24
- AAAI 2023
