Tianshu Bao

15 papers A* 3A 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching.
CoRR
Onkar Susladkar, Tushar Prakash, Gayatri Deshmukh, Kiet A. Nguyen, Jiaxun Zhang, Adheesh Sunil Juvekar, Tianshu Bao, Lin Chai, Sparsh Mittal, Inderjit S. Dhillon, Ismini Lourentzou
2025 J jnl
Fluidity Index: Next-Generation Super-intelligence Benchmarks.
CoRR
Eric Ngoiya, Tianshu Bao
2025 — conf
Uncertainty Quantification for Physics-Informed Traffic Graph Networks.
ICCPS
Tianshu Bao, Xiaoou Liu, Meiyi Ma, Taylor T. Johnson, Hua Wei
2024 J jnl
A New Hybrid Automaton Framework with Partial Differential Equation Dynamics.
CoRR
Tianshu Bao, Hengrong Du, Weiming Xiang, Taylor T. Johnson
2024 J jnl
DeepOCL: A deep neural network for Object Constraint Language generation from unrestricted nature language.
CAAI Trans. Intell. Technol.
Yilong Yang, Yibo Liu, Tianshu Bao, Weiru Wang, Nan Niu, Yongfeng Yin
2024 J jnl
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.
ACM Trans. Intell. Syst. Technol.
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
2024 — conf
Spatial-Temporal PDE Networks for Traffic Flow Forecasting.
ECML/PKDD (10)
Tianshu Bao, Hua Wei, Junyi Ji, Daniel B. Work, Taylor T. Johnson
2024 A* conf
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction.
IJCAI
Tianshu Bao, Taylor T. Johnson, Xiaowei Jia
2023 J jnl
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.
CoRR
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
2022 A conf
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.
UAI
Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia
2022 — conf
RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models.
ICSE-Companion
Tianshu Bao, Jing Yang, Yilong Yang, Yongfeng Yin
2022 A* conf
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.
ISCA
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
2021 A* conf
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.
ICDM
Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson
2021 J jnl
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.
CoRR
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
2018 — conf
Discrete-Space Analysis of Partial Differential Equations.
ARCH@ADHS
Hoang-Dung Tran, Tianshu Bao, Taylor T. Johnson