Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area. - Xinwu Qian; Jiawei Xue 001; Stanislav Sobolevsky; Chao Yang 034; Satish V. Ukkusuri (ITSC, 2019)

Online Energy-optimal Routing for Electric Vehicles with Combinatorial Multi-arm Semi-Bandit. - Xiaowei Chen 006; Jiawei Xue 001; Xinwu Qian; Juan Suarez; Satish V. Ukkusuri (ITSC, 2020)

ADDS-EVS: An agent-based deployment decision-support system for electric vehicle services. - Zengxiang Lei; Jiawei Xue 001; Xiaowei Chen 006; Charitha Saumya; Xinwu Qian; Mingyi He; Stanislav Sobolevsky; Satish V. Ukkusuri (ITSC, 2021)

How information heterogeneity influences traffic congestion during hurricane evacuation. - Rajat Verma; Zengxiang Lei; Jiawei Xue 001; Jiauyen Shen; Hemant Gehlot; Satish V. Ukkusuri; Pamela Murray-Tuite (ITSC, 2021)

Quantifying spatial homogeneity of urban road networks via graph neural networks. - Jiawei Xue 001; Nan Jiang 012; Senwei Liang; Qiyuan Pang; Satish V. Ukkusuri; Jianzhu Ma (CoRR, 2021)

Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data. - Jiawei Xue 001; Takahiro Yabe; Kota Tsubouchi; Jianzhu Ma; Satish V. Ukkusuri (CoRR, 2021)

Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data. - Jiawei Xue 001; Takahiro Yabe; Kota Tsubouchi; Jianzhu Ma; Satish V. Ukkusuri (KDD, 2022)

Quantifying the spatial homogeneity of urban road networks via graph neural networks. - Jiawei Xue 001; Nan Jiang 012; Senwei Liang; Qiyuan Pang; Takahiro Yabe; Satish V. Ukkusuri; Jianzhu Ma (Nat. Mach. Intell., 2022)

Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks. - Jiawei Xue 001; Sangung Park; Washim Uddin Mondal; Sandro Martinelli Reia; Tong Yao; Satish V. Ukkusuri (CoRR, 2023)

Finding critical transitions of the post-disaster recovery using the sensitivity analysis of agent-based models. - Sangung Park; Jiawei Xue 001; Satish V. Ukkusuri (CoRR, 2024)

METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles. - Zengxiang Lei; Jiawei Xue 001; Xiaowei Chen 006; Xinwu Qian; Charitha Saumya; Mingyi He; Stanislav Sobolevsky; Milind Kulkarni 001; Satish V. Ukkusuri (Simul. Model. Pract. Theory, 2024)

Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook. - Jiawei Xue 001; Ruichen Tan; Jianzhu Ma; Satish V. Ukkusuri (CoRR, 2025)

Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks. - Jiawei Xue 001; Takahiro Yabe; Kota Tsubouchi; Jianzhu Ma; Satish V. Ukkusuri (IEEE Trans. Knowl. Data Eng., 2025)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation. - Jiawei Xue 001; Zhen Yang; Haitao Lin; Ziji Zhang 002; Luzhu Wang; Yikun Gu; Yao Xu; Xin Li 144 (CoRR, 2025)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models. - Zhen Yang; Haitao Lin; Jiawei Xue 001; Ziji Zhang 002 (CoRR, 2025)

Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation. - Haitao Lin; Zhen Yang; Jiawei Xue 001; Ziji Zhang 002; Luzhu Wang; Yikun Gu; Yao Xu; Xin Li 144 (CoRR, 2025)

MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar Movements. - Ruichen Tan; Jiawei Xue 001; Kota Tsubouchi; Takahiro Yabe; Satish V. Ukkusuri (CoRR, 2025)