PI-Parking: A Physics Informed Neural Network Approach for Parking Availability Prediction. - Yijun Dong; Haoxuan Kuang; Jun Li 105 (ICPADS, 2023)

A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction. - Haohao Qu; Haoxuan Kuang; Jun Li 105; Linlin You (CoRR, 2023)

Attention-based Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences. - Haoxuan Kuang; Kunxiang Deng; Linlin You; Jun Li 105 (CoRR, 2024)

A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction. - Haohao Qu; Haoxuan Kuang; Qiuxuan Wang; Jun Li 105; Linlin You (IEEE Trans. Intell. Transp. Syst., 2024)

Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information. - Haoxuan Kuang; Kunxiang Deng; Qiuxuan Wang; Wei Ye; Haohao Qu; Jun Li 105 (Adv. Eng. Informatics, 2025)

GLformer: Global-local spatio-temporal graph fusion transformer network for traffic flow prediction. - Kunxiang Deng; Xinyu Zhang; Haoxuan Kuang; Kemal Polat; Fayadh Alenezi; Jun Li 105 (Appl. Soft Comput., 2025)