A frequency domain interpolation method for damping ratio estimation. - Jiawei Xue; Ruipeng Diao (ICCSCE, 2014)

Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area. - Xinwu Qian; Jiawei Xue; 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; Jiawei Xue; Xinwu Qian; Juan Suarez; Satish V. Ukkusuri (ITSC, 2020)

MRI and SPECT Image Fusion Using Saliency Capturing. - Weiwei Kong; Yang Lei 001; Liuyuan Cui; Chi Li; Jiawei Xue (ISKE, 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 (ITSC, 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 (ITSC, 2021)

Quantifying spatial homogeneity of urban road networks via graph neural networks. - Jiawei Xue; 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; 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; 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; 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; Sangung Park; Washim Uddin Mondal; Sandro Martinelli Reia; Tong Yao; Satish V. Ukkusuri (CoRR, 2023)

A Method for Separating the O/X Mode Signals in Vertical Ionograms Based on Improved U-Shaped Encoder-Decoder Network. - Hongchun Li; Chengfeng Zhang; Bo Yin; Xiaoyi Jia; Jiali Xu; Jiawei Xue; Mengfei Ma (IEEE Trans. Geosci. Remote. Sens., 2023)

Image blind deblurring networks with back-projection feature fusion. - Chi Li; Weiwei Kong; Jiawei Xue; Ze Wang; Liang Chang 003 (Signal Image Video Process., 2023)

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)

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 001; Satish V. Ukkusuri (Simul. Model. Pract. Theory, 2024)

Non-Intrusive Item Authentication with High Robustness for RFID-Enabled Logistics. - Jiawei Xue; Chunhui Duan; Fan Li; Qihua Feng; Ziang Wang; Yinan Zhu (INFOCOM, 2025)

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

TagRecon: Fine-Grained 3D Reconstruction of Multiple Tagged Packages via RFID Systems. - Ziang Wang; Chunhui Duan; Jiawei Xue; Fan Li 001; Qihua Feng; Yinan Zhu; Ziyang Zhou (ACM Trans. Sens. Networks, 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, 2025)

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