Guanzhou Ke

According to our database, Guanzhou Ke authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning.

Jiang Yuan, JI Ma, Bo Wang, Guanzhou Ke, Weiming Hu

CoRR, June, 2025

How Far Are We from Predicting Missing Modalities with Foundation Models?

Guanzhou Ke, Yi Xie, Xiaoli Wang, Guoqing Chao, Bo Wang, Shengfeng He

CoRR, June, 2025

Knowledge Bridger: Towards Training-free Missing Multi-modality Completion.

Guanzhou Ke, Shengfeng He, Xiao Li Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Yi Xie, Hexing Su

CoRR, February, 2025

Knowledge Bridger: Towards Training-Free Missing Modality Completion.

Guanzhou Ke, Shengfeng He, Xiaoli Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Yi Xie, Hexing Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Incomplete Multi-view Clustering via Diffusion Contrastive Generation.

Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Global-Semantic Alignment Distillation for Partial Multi-view Classification.

Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning.

Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, Yang Yu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Knowledge distillation-driven semi-supervised multi-view classification.

Xiaoli Wang, Yongli Wang, Guanzhou Ke, Yupeng Wang, Xiaobin Hong

Inf. Fusion, March, 2024

Parallel Attention Based Network for Human Activity Recognition Using Wearable Devices.

Chenyang Xu, Feiyi Fan, Guanzhou Ke, Changru Guo, Qingyu Wu, Jianfei Shen

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Rethinking Multi-View Representation Learning via Distilled Disentangling.

Guanzhou Ke, Bo Wang, Xiaoli Wang, Shengfeng He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Disentangling Multi-view Representations Beyond Inductive Bias.

Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

A Clustering-guided Contrastive Fusion for Multi-view Representation Learning.

Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Chang Xu, Yongqi Zhu, Yang Yu

CoRR, 2022

Efficient multi-view clustering networks.

Guanzhou Ke, Zhiyong Hong, Wenhua Yu, Xin Zhang, Zeyi Liu

Appl. Intell., 2022

MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion.

Guanzhou Ke, Yongqi Zhu, Yang Yu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

CONAN: Contrastive Fusion Networks for Multi-view Clustering.

Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, Yannan Xie

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021