Tianshu Bao

According to our database, Tianshu Bao authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.

Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia

ACM Trans. Intell. Syst. Technol., February, 2024

DeepOCL: A deep neural network for Object Constraint Language generation from unrestricted nature language.

Yilong Yang, Yibo Liu, Tianshu Bao, Weiru Wang, Nan Niu, Yongfeng Yin

CAAI Trans. Intell. Technol., February, 2024

2023

Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.

Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia

CoRR, 2023

2022

Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.

Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.

Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models.

Tianshu Bao, Jing Yang, Yilong Yang, Yongfeng Yin

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021

Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.

Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol

CoRR, 2021

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.

Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson

Proceedings of the IEEE International Conference on Data Mining, 2021

2018

Discrete-Space Analysis of Partial Differential Equations.

Hoang-Dung Tran, Tianshu Bao, Taylor T. Johnson

Proceedings of the ARCH18. 5th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2018