Fangshu Yang

According to our database, Fangshu Yang authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Wasserstein Distance-Based Full-Waveform Inversion With a Regularizer Powered by Learned Gradient.

Fangshu Yang, Jianwei Ma

IEEE Trans. Geosci. Remote. Sens., 2023

Full-Waveform Inversion Using a Learned Regularization.

Pengpeng Sun, Fangshu Yang, Hongxian Liang, Jianwei Ma

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Seismic Random Noise Attenuation via Self-Supervised Transfer Learning.

Huimin Sun, Fangshu Yang, Jianwei Ma

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging.

Fangshu Yang, Thanh-An Pham, Nathalie Brandenberg, Matthias P. Lütolf, Jianwei Ma, Michael Unser

IEEE Trans. Image Process., 2021

Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning.

Fangshu Yang, Jianwei Ma

CoRR, 2021

Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion.

Jing Rao, Fangshu Yang, Huadong Mo, Stefan Kollmannsberger, Ernst Rank

CoRR, 2021

2019

Deep-learning inversion: a next generation seismic velocity-model building method.

Fangshu Yang, Jianwei Ma

CoRR, 2019