Wai Tong Chung

Researcher, Together AI

Joined

May 2022

Names

Wai Tong Chung (Preferred)

Emails

****@stanford.edu (Confirmed)

****@together.ai (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Together AI (together.ai)

2024 – Present

PhD student

Stanford University (stanford.edu)

2018 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Matthias Ihme

2018 – Present

Coauthor

Aashwin Mishra

2021 – 2022

Expertise

Large Language Models

2024 – Present

Speculative Decoding

2024 – Present

Large Datasets

2023 – Present

Fluid Mechanics

2018 – Present

Combustion

2018 – Present

ML for Physical Sciences

2018 – Present

Publications

Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Wai Tong Chung, Bassem Akoush, Pushan Sharma, Alex Tamkin, Ki Sung Jung, Jacqueline Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y Poludnenko, Matthias Ihme
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
Wai Tong Chung, Ki Sung Jung, Jacqueline Chen, Matthias Ihme
- Published: 15 Jun 2022, Last Modified: 30 Dec 2025
- ICML-AI4Science Poster
- Readers: Everyone
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen, Matthias Ihme
- Published: 01 Jan 2022, Last Modified: 06 Jun 2023
- CoRR 2022
- Readers: Everyone
Accelerating High-fidelity Combustion Simulations with Classification Algorithms
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme
- Published: 01 Jan 2021, Last Modified: 06 Jun 2023
- AAAI Spring Symposium: MLPS 2021
- Readers: Everyone
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme
- Published: 01 Jan 2021, Last Modified: 06 Jun 2023
- CoRR 2021
- Readers: Everyone
Data-assisted combustion simulations with dynamic submodel assignment using random forests
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme
- Published: 01 Jan 2020, Last Modified: 06 Jun 2023
- CoRR 2020
- Readers: Everyone

Wai Tong Chung

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data

The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning

The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning

Accelerating High-fidelity Combustion Simulations with Classification Algorithms

Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion

Data-assisted combustion simulations with dynamic submodel assignment using random forests

Co-Authors