Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications. - Nikola Besinovic; Lorenzo De Donato; Francesco Flammini; Rob M. P. Goverde; Zhiyuan Lin 002; Ronghui Liu; Stefano Marrone 002; Roberto Nardone; Tianli Tang; Valeria Vittorini (IEEE Trans. Intell. Transp. Syst., 2022)

Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach. - Tianli Tang; Ronghui Liu; Charisma F. Choudhury; Achille Fonzone; Yuanyuan Wang (IEEE Trans. Intell. Transp. Syst., 2023)

An extended cellular automation model for bicycles with group and retrograde behaviors at signalized intersections. - Ying-Xu Rui; Jun-Qing Shi; Peng Liao; Jian Zhang 088; Tianli Tang (Simul. Model. Pract. Theory, 2024)

MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction. - Hao Huang 004; Jiannan Mao; Ronghui Liu; Weike Lu; Tianli Tang; Lan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2024)

Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips. - Tianli Tang; Jiannan Mao; Ronghui Liu; Zhiyuan Liu 002; Yiran Wang; Di Huang (IEEE Trans. Intell. Transp. Syst., 2024)

Deciphering the pulse of the city: An exploration of the natural features of metro passenger flow using XAI. - Tianli Tang; Jian Zhang 088; Siyuan Chen; Pengli Mo; Mingyang Pei; Tie-Qiao Tang (Comput. Ind. Eng., 2025)

A convergent cross-mapping approach for unveiling congestion spatial causality in urban traffic networks. - Jiannan Mao; Hao Huang 004; Yu Gu; Weike Lu; Tianli Tang; Fan Ding (Comput. Aided Civ. Infrastructure Eng., 2025)