Intention-aware Transformer with Adaptive Social and Temporal Learning for Vehicle Trajectory Prediction. - Yu Hu 010; Xiaobo Chen 001 (ICPR, 2022)

Intention-Aware Vehicle Trajectory Prediction Based on Spatial-Temporal Dynamic Attention Network for Internet of Vehicles. - Xiaobo Chen 001; Huanjia Zhang; Feng Zhao 006; Yu Hu 010; Chenkai Tan; Jian Yang 003 (IEEE Trans. Intell. Transp. Syst., 2022)

Global-Local Discriminative Representation Learning Network for Viewpoint-Aware Vehicle Re-Identification in Intelligent Transportation. - Xiaobo Chen 001; Haoze Yu; Feng Zhao 006; Yu Hu 010; Zuoyong Li (IEEE Trans. Instrum. Meas., 2023)

VNAGT: Variational Non-Autoregressive Graph Transformer Network for Multi-Agent Trajectory Prediction. - Xiaobo Chen 001; Huanjia Zhang; Yu Hu 010; Jun Liang 004; Hai Wang 003 (IEEE Trans. Veh. Technol., 2023)

A hypergraph-based dual-path multi-agent trajectory prediction model with topology inferring. - Yu Hu 010; Xiaobo Chen 001; Yongjie Zhou; Hang Yang; Zhou Zhang; Jun Liang 004 (Eng. Appl. Artif. Intell., 2025)

Deformable Cross-Attention Transformer for Weakly Aligned RGB-T Pedestrian Detection. - Yu Hu 010; Xiaobo Chen 001; Sheng Wang; Luyang Liu; Hengyang Shi; Lihong Fan; Jing Tian; Jun Liang 004 (IEEE Trans. Multim., 2025)