Shihang Feng

According to our database, Shihang Feng authored at least 18 papers between 2021 and 2023.

Collaborative distances:

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

2023

Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator.

Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2023

Overview of Physics-Informed Machine Learning Inversion of Geophysical Data.

Gerard T. Schuster, Shihang Feng

CoRR, 2023

Does Full Waveform Inversion Benefit from Big Data?

Peng Jin, Yinan Feng, Shihang Feng, Hanchen Wang, Yinpeng Chen, Benjamin Consolvo, Zicheng Liu, Youzuo Lin

CoRR, 2023

E^FWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

CoRR, 2023

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.

Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier

CoRR, 2023

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness.

Min Zhu, Shihang Feng, Youzuo Lin, Lu Lu

CoRR, 2023

Simplifying Full Waveform Inversion via Domain-Independent Self-Supervised Learning.

Yinan Feng, Yinpeng Chen, Peng Jin, Shihang Feng, Zicheng Liu, Youzuo Lin

CoRR, 2023

E^FWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

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

2022

InversionNet3D: Efficient and Scalable Learning for 3-D Full-Waveform Inversion.

Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs.

Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study.

Shihang Feng, Youzuo Lin, Brendt Wohlberg

IEEE Trans. Geosci. Remote. Sens., 2022

Exploring Multi-physics with Extremely Weak Supervision.

Shihang Feng, Peng Jin, Yinpeng Chen, Xitong Zhang, Zicheng Liu, Youzuo Lin

CoRR, 2022

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.

Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Intriguing Property of Geophysics Inversion.

Yinan Feng, Yinpeng Chen, Shihang Feng, Peng Jin, Zicheng Liu, Youzuo Lin

Proceedings of the International Conference on Machine Learning, 2022

2021

Superpixel-Based Convolutional Neural Network for Georeferencing the Drone Images.

Shihang Feng, Luca Passone, Gerard T. Schuster

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion.

Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin

CoRR, 2021

Connect the Dots: In Situ 4D Seismic Monitoring of CO₂ Storage with Spatio-temporal CNNs.

Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

CoRR, 2021

InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion.

Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin

CoRR, 2021