Dr. Tianshu Bao is a Postdoc Researcher at Vanderbilt University, Computer Science Department, and he got his PhD from the same place. His research interests include data science, machine learning, and AI safety, especially physics-informed machine learning, spatial-temporal data mining, uncertainty quantification, etc.

Publications

Tianshu Bao, Xiaoou Liu, Meiyi Ma, Taylor T. Johnson, Hua Wei, “ Uncertainty Quantification for Physics-Informed Traffic Graph Networks”, ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2025, May. (Best Artifact Award)

Tianshu Bao, Hua Wei, Dan Work and Taylor T. Johnson, “ Spatial-Temporal PDE Networks for Traffic Flow Forecasting”, European Conference on Machine Learning and Principles of Knowledge Discovery in Databases (ECML-PKDD), 2024, Sept. (CORE conference ranking A) [pdf]

Tianshu Bao, Taylor T. Johnson and Xiaowei Jia, “ Transfer Learning using Inaccurate Physics Rule for Streamflow Prediction”, the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024, Aug. (CORE conference ranking A*) [pdf]

Shengyu Chen, Tianshu Bao, Givi Peyman, Can Zheng, Xiaowei Jia, “ Reconstructing Turbulent Flows using Spatio-Temporal Physical Dynamics”, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023, Dec. (Computer Science Information Systems Rank 18/249, Q1) [pdf]

Tianshu Bao*, Shengyu Chen*, Taylor T. Johnson, Peyman Givi, and Xiaowei Jia, “Physics Guided Neural Networks for Spatio-temporal Super-resolution of Turbulent Flows”, the 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022, August. (CORE conference ranking A*) [pdf]

Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, Jordan Read, and Taylor T. Johnson, “Partial Differential Equation Driven Rivernet Dynamic Graph Networks”, IEEE International Conference on Data Mining (ICDM), 2021, December. (C.F. Chen Best Paper Award, Student Attendance Award, CORE conference ranking A*) [pdf]

Hoang-Dung Tran, Tianshu Bao, Taylor T. Johnson, “Discrete-Space Analysis of Partial Differential Equations (PDEs) (Benchmark Proposal)”, In 5th Applied Verification for Continuous and Hybrid Systems Workshop (ARCH), Oxford, UK, 2018, July.

Professional Services

He serves as a reviewer and program committee member for AAAI(24,25), UAI(23,24,25), IJCAI(24), CAV(22,23), ICCPS(24,25), CDC(21), TAC(23,24), ACC(25), ECC(25), PRL(24), etc

Work Experience

Quantitative Research Intern, Changer Invest Management Consulting Co., Ltd, Dec 2020 - Feb 2021

Web Developer, Baanyan Software Service, Inc, Aug 2015 - Aug 2016