Wai Tong Chung

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Classification Algorithm

Top Venues

AAAI Spring Symposium: MLPS

Publications

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