Publications

Yanyan Hu, Xuqing Wu, Jiefu Chen (2023). Deep perceptual losses for joint inversion. (in prep).

Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqing Huang, Jiefu Chen (2023). 3D cooperative inversion of airborne magnetic and gravity gradient data using deep learning techniques. (accepted).

Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiuping Chen, Yueqin Huang, Jiefu Chen (2023). A deep learning enhanced framework for multi-physics joint inversion. Geophysics.

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Yuchen Jin, Yuan Zi, Wenyi Hu, Yanyan Hu, Xuqing Wu, Jiefu Chen (2022). A robust learning method for low-frequency extrapolation in GPR full waveform inversion. IEEE.

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Yanyan Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen (2021). A theory-guided deep neural network for time fomain electromagnetic dimulation and inversion using a differentiable programming platform. IEEE.

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Pan Zhang, Yanyan Hu, Yuchen Jin, Shaogui Deng, Xuqing Wu, Jiefu Chen (2021). A maxwell's equations based deep learning method for time domain electromagnetic simulations. IEEE.

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Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubakar, Jiefu Chen (2020). A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems. IEEE.

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