Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. - Hongjin Tao; Jun Zeng 003; Ziwei Wang; Min Gao 001; Junhao Wen 001 (ICWS, 2023)

SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning. - Hongjin Tao; Jun Zeng 003; Yang Yu 033; Ziwei Wang; Xiaolin Hu (IJCNN, 2023)

RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. - Ziwei Wang; Jun Zeng 003; Hongjin Tao; Lin Zhong (IJCNN, 2023)

A text matching model based on dynamic multi-mask and augmented adversarial. - Lin Zhong; Jun Zeng 003; Yang Yu 033; Hongjin Tao; Wenying Jiang; Luxi Cheng (Expert Syst. J. Knowl. Eng., 2023)

LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. - Jun Zeng 003; Yizhu Zhao; Ziwei Wang; Hongjin Tao; Min Gao 001; Junhao Wen 001 (Expert Syst. Appl., 2023)

Global and local hypergraph learning method with semantic enhancement for POI recommendation. - Jun Zeng 003; Hongjin Tao; Haoran Tang; Junhao Wen 001; Min Gao 001 (Inf. Process. Manag., 2025)

Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation. - Jun Zeng 003; Hongjin Tao; Junhao Wen 001; Min Gao 001 (Knowl. Based Syst., 2025)