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ORCIDHanchen Wang 0003
Person information
- affiliation: Los Alamos National Laboratory, NM, USA
- affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Other persons with the same name
- Hanchen Wang 0001
![[0000-0003-3158-9586]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3158-9586")
— University of Technology Sydney, Faculty of Engineering and Information Technology, School of Computer Science, NSW, Australia (and 3 more) - Hanchen Wang 0002 — Stanford University, Department of Computer Science, Palo Alto, CA, USA (and 3 more)
- Hanchen Wang 0004 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Networks, China
- Hanchen Wang 0005 — Chongqing University of Posts and Telecommunications, School of Automation, China
- Hanchen Wang 0006 — Guangxi Key Laboratory of Digital Infrastructure, Nanning, China
Other persons with a similar name
- Hanchen D. Wang (aka: Hanchen David Wang) — Vanderbilt University, Nashville, Tennessee, USA
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2020 – today
- 2024
[j3]Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa:
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. IEEE Trans. Computational Imaging 10: 69-82 (2024)- [c6]Yi Sheng, Junhuan Yang, Hanchen Wang, Yinan Feng, Yinpeng Chen, Xiaolong Guo, Youzuo Lin, Weiwen Jiang, Lei Yang:
Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems. CODES+ISSS 2024: 3-4 - [c5]Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang:
EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices. DAC 2024: 322:1-322:6 - [c4]Junhuan Yang, Yi Sheng, Yuzhou Zhang, Hanchen Wang, Youzuo Lin, Lei Yang:
Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography. ACM Great Lakes Symposium on VLSI 2024: 754-759 - [c3]Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang:
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. MICCAI (7) 2024: 99-108 - [i6]Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang:
A Physics-guided Generative AI Toolkit for Geophysical Monitoring. CoRR abs/2401.03131 (2024) - [i5]Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang:
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. CoRR abs/2407.14564 (2024) - 2023
- [j2]Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin:
Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [c2]Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin:
EFWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. NeurIPS 2023 - [i4]Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin:
EFWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. CoRR abs/2306.12386 (2023) - [i3]Peng Jin, Yinan Feng, Shihang Feng, Hanchen Wang, Yinpeng Chen, Benjamin Consolvo, Zicheng Liu, Youzuo Lin:
Does Full Waveform Inversion Benefit from Big Data? CoRR abs/2307.15388 (2023) - 2022
- [j1]Hanchen Wang, Tariq Alkhalifah, Umair bin Waheed, Claire Birnie:
Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c1]Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin:
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. NeurIPS 2022 - [i2]Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin:
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator. CoRR abs/2209.12340 (2022) - 2021
- [i1]Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko:
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning. CoRR abs/2109.05294 (2021)
Coauthor Index
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