A Clustering-guided Contrastive Fusion for Multi-view Representation Learning. - Guanzhou Ke; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Chang Xu; Yongqi Zhu; Yang Yu 058 (CoRR, 2022)

MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification. - Xiaoli Wang 003; Liyong Fu; Yudong Zhang 001; Yongli Wang; Zechao Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

Disentangling Multi-view Representations Beyond Inductive Bias. - Guanzhou Ke; Yang Yu 058; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Shengfeng He (ACM Multimedia, 2023)

Rethinking Multi-View Representation Learning via Distilled Disentangling. - Guanzhou Ke; Bo Wang 057; Xiaoli Wang 003; Shengfeng He (CVPR, 2024)

Adversarially attack feature similarity for fine-grained visual classification. - Yupeng Wang 004; Can Xu; Yongli Wang; Xiaoli Wang 003; Weiping Ding 001 (Appl. Soft Comput., 2024)

DVF:Multi-agent Q-learning with difference value factorization. - Anqi Huang; Yongli Wang; Jianghui Sang; Xiaoli Wang 003; Yupeng Wang 004 (Knowl. Based Syst., 2024)

Trusted Semi-Supervised Multi-View Classification With Contrastive Learning. - Xiaoli Wang 003; Yongli Wang; Yupeng Wang 004; Anqi Huang; Jun Liu 036 (IEEE Trans. Multim., 2024)

Knowledge distillation-driven semi-supervised multi-view classification. - Xiaoli Wang 003; Yongli Wang; Guanzhou Ke; Yupeng Wang 004; Xiaobin Hong 002 (Inf. Fusion, 2024)

A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning. - Guanzhou Ke; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Yongqi Zhu; Yang Yu 058 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Computer vision-driven forest wildfire and smoke recognition via IoT drone cameras. - Yupeng Wang 004; Yongli Wang; Can Xu; Xiaoli Wang 003; Yong Zhang (Wirel. Networks, 2024)

Global-Semantic Alignment Distillation for Partial Multi-view Classification. - Xiaoli Wang 003; Anqi Huang; Yongli Wang; Guanzhou Ke; Xiaobin Hong 002; Jun Liu 036 (AAAI, 2025)

Knowledge Bridger: Towards Training-Free Missing Modality Completion. - Guanzhou Ke; Shengfeng He; Xiaoli Wang 003; Bo Wang 057; Guoqing Chao; Yuanyang Zhang; Yi Xie; Hexing Su (CVPR, 2025)

An innovative multi-view collaborative optimization framework for Weighted Naive Bayes. - Xiaoliang Zhou; Yongli Wang; Li Zhang; Anqi Huang; Xiaoli Wang 003 (Knowl. Based Syst., 2025)

Graph-in-graph discriminative feature enhancement network for fine-grained visual classification. - Yupeng Wang 004; Can Xu; Yongli Wang; Xiaoli Wang 003; Weiping Ding 001 (Appl. Intell., 2025)

How Far Are We from Predicting Missing Modalities with Foundation Models? - Guanzhou Ke; Yi Xie; Xiaoli Wang 003; Guoqing Chao; Bo Wang 057; Shengfeng He (CoRR, 2025)