Vehicle Trajectory Prediction in City-scale Road Networks using a Direction-based Sequence-to-Sequence Model with Spatiotemporal Attention Mechanisms. - Yuebing Liang; Zhan Zhao (CoRR, 2021)

Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns. - Yuebing Liang; Zhan Zhao; Lijun Sun (CoRR, 2021)

Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach. - Yuebing Liang; Guan Huang 002; Zhan Zhao (CoRR, 2021)

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach. - Yuebing Liang; Guan Huang 002; Zhan Zhao (ITSC, 2022)

Deep Inverse Reinforcement Learning for Route Choice Modeling. - Zhan Zhao; Yuebing Liang (CoRR, 2022)

NetTraj: A Network-Based Vehicle Trajectory Prediction Model With Directional Representation and Spatiotemporal Attention Mechanisms. - Yuebing Liang; Zhan Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

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

RouteKG: A knowledge graph-based framework for route prediction on road networks. - Yihong Tang; Weipeng Deng; Shuyu Lei; Yuebing Liang; Zhenliang Ma; Zhan Zhao (CoRR, 2023)

HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network. - Bohao Qian; Mengying Zhu; Mengyuan Yang 002; Enze Wu; Guojie Xie; Yuebing Liang; Xiaolin Zheng (ICWS, 2024)

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)

Exploring large language models for human mobility prediction under public events. - Yuebing Liang; Yichao Liu; Xiaohan Wang; Zhan Zhao (Comput. Environ. Urban Syst., 2024)

Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks. - Yuebing Liang; Guan Huang 002; Zhan Zhao (IEEE Trans. Intell. Transp. Syst., 2024)

Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning. - Yuebing Liang; Shenhao Wang; Jiangbo Yu; Zhan Zhao; Jinhua Zhao; Sandy Pentland (CoRR, 2025)

Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models. - Qingyi Wang; Yuebing Liang; Yunhan Zheng; Kaiyuan Xu; Jinhua Zhao; Shenhao Wang (CoRR, 2025)

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models. - Mingyi He; Yuebing Liang; Shenhao Wang; Yunhan Zheng; Qingyi Wang; Dingyi Zhuang; Li Tian; Jinhua Zhao (CoRR, 2025)