Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. - Xu Zhang 039; Yongshun Gong; Xinxin Zhang 004; Xiaoming Wu; Chengqi Zhang; Xiangjun Dong 001 (CIKM, 2023)

Spatio-temporal fusion and contrastive learning for urban flow prediction. - Xu Zhang 039; Yongshun Gong; Chengqi Zhang; Xiaoming Wu; Ying Guo; Wenpeng Lu; Long Zhao 002; Xiangjun Dong 001 (Knowl. Based Syst., 2023)

Automatic visual recognition for leaf disease based on enhanced attention mechanism. - Yumeng Yao; Xiaodun Deng; Xu Zhang 039; Junming Li; Wenxuan Sun; Gechao Zhang (PeerJ Comput. Sci., 2024)

Spatial-Spectral-Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. - Mengxin Cao; Xu Zhang 039; Jinyong Cheng; Guixin Zhao; Wei Li 032; Xiangjun Dong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution. - Piao Yu; Xu Zhang 039; Yongshun Gong; Jian Zhang 002; Haoliang Sun; Junjie Zhang 002; Xinxin Zhang 004; Yilong Yin (Expert Syst. Appl., 2025)

Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information. - Xu Zhang 039; Mengxin Cao; Yongshun Gong; Xiaoming Wu; Xiangjun Dong 001; Ying Guo; Long Zhao 002; Chengqi Zhang (Neural Networks, 2025)