Jiawei Xue

According to our database, Jiawei Xue authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar Movements.

Ruichen Tan, Jiawei Xue, Kota Tsubouchi, Takahiro Yabe, Satish V. Ukkusuri

CoRR, December, 2025

Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation.

Haitao Lin, Zhen Yang, Jiawei Xue, Ziji Zhang, Luzhu Wang, Yikun Gu, Yao Xu, Xin Li

CoRR, August, 2025

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models.

Zhen Yang, Haitao Lin, Jiawei Xue, Ziji Zhang

CoRR, July, 2025

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation.

Jiawei Xue, Zhen Yang, Haitao Lin, Ziji Zhang, Luzhu Wang, Yikun Gu, Yao Xu, Xin Li

CoRR, May, 2025

Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks.

Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri

IEEE Trans. Knowl. Data Eng., February, 2025

Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook.

Jiawei Xue, Ruichen Tan, Jianzhu Ma, Satish V. Ukkusuri

CoRR, January, 2025

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, Xiaowei Chen, Xinwu Qian, Charitha Saumya, Mingyi He, Stanislav Sobolevsky, Milind Kulkarni, Satish V. Ukkusuri

Simul. Model. Pract. Theory, 2024

Finding critical transitions of the post-disaster recovery using the sensitivity analysis of agent-based models.

Sangung Park, Jiawei Xue, Satish V. Ukkusuri

CoRR, 2024

2023

Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks.

Jiawei Xue, Sangung Park, Washim Uddin Mondal, Sandro Martinelli Reia, Tong Yao, Satish V. Ukkusuri

CoRR, 2023

2022

Quantifying the spatial homogeneity of urban road networks via graph neural networks.

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma

Nat. Mach. Intell., 2022

Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data.

Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data.

Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri

CoRR, 2021

Quantifying spatial homogeneity of urban road networks via graph neural networks.

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma

CoRR, 2021

How information heterogeneity influences traffic congestion during hurricane evacuation.

Rajat Verma, Zengxiang Lei, Jiawei Xue, Jiauyen Shen, Hemant Gehlot, Satish V. Ukkusuri, Pamela Murray-Tuite

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

ADDS-EVS: An agent-based deployment decision-support system for electric vehicle services.

Zengxiang Lei, Jiawei Xue, Xiaowei Chen, Charitha Saumya, Xinwu Qian, Mingyi He, Stanislav Sobolevsky, Satish V. Ukkusuri

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Online Energy-optimal Routing for Electric Vehicles with Combinatorial Multi-arm Semi-Bandit.

Xiaowei Chen, Jiawei Xue, Xinwu Qian, Juan Suarez, Satish V. Ukkusuri

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area.

Xinwu Qian, Jiawei Xue, Stanislav Sobolevsky, Chao Yang, Satish V. Ukkusuri

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019