Deep trip generation with graph neural networks for bike sharing system expansion. - Yuebing Liang; Fangyi Ding; Guan Huang 002; Zhan Zhao (CoRR, 2023)

A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks. - Fangyi Ding; Yuebing Liang; Yamin Wang; Yan Tang; Yang Zhou; Zhan Zhao (UrbanAI@SIGSPATIAL, 2024)

Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network. - Yuebing Liang; Zhan Zhao; Fangyi Ding; Yihong Tang; Zhengbing He (Inf. Fusion, 2024)

Dynamic Layer-Wise Strategy for Parameter-Efficient Fine-Tuning. - Guowei Peng; Yuning Yang; Dongyang Zhang 001; Xiurui Xie; Anning Jiang; Fangyi Ding (ICSIM, 2025)

Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning. - Min Namgung; JangHyeon Lee; Fangyi Ding; Yao-Yi Chiang (CoRR, 2025)

Network-based pick-up and drop-off location optimization for shared autonomous vehicles. - Sunyu Wang; Fangyi Ding; Yineng Wang; Anthony Gar-On Yeh; Guan Huang 002 (Urban Inform., 2025)