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Tianshu Bao
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2020 – today
- 2024
- [j2]Yilong Yang, Yibo Liu, Tianshu Bao, Weiru Wang, Nan Niu, Yongfeng Yin:
DeepOCL: A deep neural network for Object Constraint Language generation from unrestricted nature language. CAAI Trans. Intell. Technol. 9(1): 250-263 (2024) - [j1]Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia:
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. ACM Trans. Intell. Syst. Technol. 15(1): 17:1-17:18 (2024) - [c7]Tianshu Bao, Taylor T. Johnson, Xiaowei Jia:
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction. IJCAI 2024: 7170-7178 - [c6]Tianshu Bao, Hua Wei, Junyi Ji, Daniel B. Work, Taylor T. Johnson:
Spatial-Temporal PDE Networks for Traffic Flow Forecasting. ECML/PKDD (10) 2024: 166-182 - [i3]Tianshu Bao, Hengrong Du, Weiming Xiang, Taylor T. Johnson:
A New Hybrid Automaton Framework with Partial Differential Equation Dynamics. CoRR abs/2404.11900 (2024) - 2023
- [i2]Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia:
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement. CoRR abs/2304.12130 (2023) - 2022
- [c5]Tianshu Bao, Jing Yang, Yilong Yang, Yongfeng Yin:
RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models. ICSE-Companion 2022: 188-192 - [c4]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:
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product. ISCA 2022: 1042-1057 - [c3]Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia:
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows. UAI 2022: 118-128 - 2021
- [c2]Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson:
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. ICDM 2021: 11-20 - [i1]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:
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training. CoRR abs/2108.09373 (2021)
2010 – 2019
- 2018
- [c1]Hoang-Dung Tran, Tianshu Bao, Taylor T. Johnson:
Discrete-Space Analysis of Partial Differential Equations. ARCH@ADHS 2018: 185-195
Coauthor Index
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