Dual attentive graph neural network for metro passenger flow prediction. - Yuhuan Lu; Hongliang Ding; Shiqian Ji; N. N. Sze; Zhaocheng He (Neural Comput. Appl., 2021)

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data. - Junlan Chen; Ziyuan Pu; Nan-Ning Zheng 001; Xiao Wen; Hongliang Ding; Xiucheng Guo (CoRR, 2024)

HEU-Net: hybrid attention residual block-based network with external skip connections for metal corrosion semantic segmentation. - Tiancheng Zhu; Shiqiang Zhu; Tao Zheng; Hongliang Ding; Wei Song 008; Cunjun Li (Vis. Comput., 2024)

Video-Based Engagement Estimation of Game Streamers: An Interpretable Multimodal Neural Network Approach. - Sicheng Pan; Gary J. W. Xu; Kun Guo 004; Seop Hyeong Park; Hongliang Ding (IEEE Trans. Games, 2024)

Cultural Insights in Souls-Like Games: Analyzing Player Behaviors, Perspectives, and Emotions Across a Multicultural Context. - Sicheng Pan; Gary J. W. Xu; Kun Guo 004; Seop Hyeong Park; Hongliang Ding (IEEE Trans. Games, 2024)