Wai Tong Chung

According to our database, Wai Tong Chung authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining.

Costin-Andrei Oncescu, Qingyang Wu, Wai Tong Chung, Robert Wu, Bryan Gopal, Junxiong Wang, Tri Dao, Ben Athiwaratkun

CoRR, November, 2025

2024

A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport.

M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan, Matthias Ihme, Qingkai Kong, Donald D. Lucas, Stephen C. Myers

CoRR, 2024

2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

CoRR, 2022

2021

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

Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme

CoRR, 2021

Accelerating High-fidelity Combustion Simulations with Classification Algorithms.

Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

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

Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme

CoRR, 2020