Hanchen Wang
Orcid: 0000-0001-8845-0820Affiliations:
- Los Alamos National Laboratory, NM, USA
- King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
According to our database1,
Hanchen Wang
authored at least 13 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.
IEEE Trans. Computational Imaging, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
2023
Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator.
IEEE Trans. Geosci. Remote. Sens., 2023
E<sup>FWI</sup>: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.
CoRR, 2023
E<sup>FWI</sup>: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator.
CoRR, 2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning.
CoRR, 2021