Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction. - Xiaojian Hu; Tong Liu; Xiatong Hao; Chenxi Lin (J. Supercomput., 2022)

Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic parameters. - Ziyi Su; Tong Liu; Xiatong Hao; Xiaojian Hu (J. Supercomput., 2023)

MobileNetV2 with Spatial Attention module for traffic congestion recognition in surveillance images. - Chenxi Lin; Xiaojian Hu; Yunfei Zhan; Xiatong Hao (Expert Syst. Appl., 2024)

Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method. - Ke Zhang; Zhaohui Min; Xiatong Hao; Theunis F. P. Henning; Wei Huang (Adv. Eng. Informatics, 2025)

Climate-resilient epoxy asphalt mixture design: An intelligent framework. - Ke Zhang; Zhaohui Min; Wei Huang; Theunis F. P. Henning; Xiatong Hao; Kaimo Shao (Adv. Eng. Informatics, 2025)

Assess Spatial Equity Considering the Similarity Between GIS-Based Supply and Demand Maps: A New Framework with Case Study in Beijing. - Xiatong Hao; Xiaojian Hu; Ke Zhang; Qian Chen (ISPRS Int. J. Geo Inf., 2025)