Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss. - Junling Wang; Yupeng Wang 004; Liping Liu; Hengfu Yin; Ning Ye; Can Xu (Remote. Sens., 2023)

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)

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)

Multi-level feature fusion networks for smoke recognition in remote sensing imagery. - Yupeng Wang 004; Yongli Wang; Zaki Ahmad Khan; Anqi Huang; Jianghui Sang (Neural Networks, 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)