Liu, T., & Liu, FY. (2025). Graph Neural Networks for Evaluating the Reliability and Resilience of Infrastructure Systems: A Systematic Review of Models, Applications and Future Directions. IEEE Access

Liu, T., & Meidani, H. (2025). Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards. International Journal of Transportation Science and Technology.

Liu, T., & Liu, FY. (2025). Graph Neural Networks for Aerodynamic Analysis of Truck Platoon under Heterogeneous Traffic Environment. IEEE Access

Liu, T., & Meidani, H. (2025). Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks. Expert Systems with Applications

Liu, T., & Meidani, H. (2024). Heterogeneous graph sequence neural networks for dynamic traffic assignment. (arxiv)

Liu, T., & Meidani, H. (2024). Graph Neural Network Surrogate for seismic reliability analysis of highway bridge system. Journal of Infrastructure Systems. 05024004. pdf

Liu, T., & Meidani, H. (2024). GNeural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery. International Journal of Transportation Science and Technology.

Liu, T., & Meidani, H. (2024). End-to-end heterogeneous graph neural networks for traffic assignment. Transportation Research Part C: Emerging Technologies, 165 (2024): 104695. pdf

Liu, T., & Meidani, H. (2023). Physics-Informed Neural Networks for System Identification of Structural Systems with a Multiphysics Damping Model. Journal of Engineering Mechanics, 149(10), 04023079. pdf

Zhou, Y., & Liu, T. (2019). Computer vision-based crack detection and measurement on concrete structure. Journal of Tongji University (Natural Science Edition), 47(09), 1277-1285.

Zhou, Y., Zhang, L., Liu, T., & Gong, S. (2018). Structural system identification based on computer vision. China Civil Engineering Journal, 51(11), 17-23.

Chen, TJ., Liu, T. (2025) Integrating Vision Transformers and Autoencoders for Liver Image Segmentation in Medical Imaging. 2025 4th International Conference on Artificial Intelligence, Internet and Digital Economy

Chen, TJ., Liu, T., Lin, WT. (2025). Analysis of lithium-ion battery degradation prediction via machine learning. 2025 4th International Conference on Artificial Intelligence, Internet and Digital Economy

Liu, T., & Meidani, H. (2024). Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models. 2024 IEEE International Conference on Big Data (IEEE BigData 2024).

Liu, T., & Meidani, H. (2023). Optimizing Seismic Retrofit of Bridges: Integrating Efficient Graph Neural Network Surrogates and Transportation Equity. In Proceedings of Cyber-Physical Systems and Internet of Things Week 2023 (pp. 367-372). pdf

Liu, T., & Meidani, H. (2023). Physics-Informed Neural Network for Nonlinear Structural System Identification. In Proceedings of 14th International Workshop on Structural Health Monitoring (IWSHM2023).

Liu, T., & Meidani, H. (2023). Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery. (Report No. ICT-23-017). Illinois Center for Transportation. pdf