Publications

My earlier work develops reliable representations when views or modalities are incomplete. This is the methodological foundation for my current research on decision-making under partial observability. See Google Scholar for the latest citation record.

2026

How Far Are We from Generating Missing Modalities with Foundation Models?
Guanzhou Ke, Bo Wang, Guoqing Chao, Weiming Hu, Shengfeng He
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
Rank: CCF A, MISC: [PDF] [CODE]

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]