I am now a Ph.D. candidate in the School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University, advised by Rui Zhao.

I received my B.S. degree in Geophysics from the School of Earth and Space Sciences at the University of Science and Technology of China, where I was advised by Junlun Li.

My research interests lie in developing AI-driven methods for geophysical data analysis, with a particular focus on seismic data processing, remote sensing interpretation, and geophysical inversion techniques, including Full Waveform Inversion and Surface Wave Inversion.

🔥 News

• 2025.03: 🎉 Automatic Differentiation-Based Full Waveform Inversion With Flexible Workflows was published in JGR M&C.
• 2024.04: 🎉 Multimodal Surface Wave Inversion with Automatic Differentiation was published in GJI.

📝 Publications

JGR M&C

Automatic Differentiation-Based Full Waveform Inversion With Flexible Workflows
Liu, F., Li, H., Zou, G., & Li, J. (2025)

🔗Code Repository: github.com/liufeng2317/ADFWI

• ADFWI: A PyTorch-based full waveform inversion framework leveraging automatic differentiation.
• Multi-Physics: Supports acoustic, elastic, and anisotropic wave propagation.
• Multi-Workflow: Integrates diverse misfit functions, regularization methods, and optimizers for flexible inversion design.
• Multi-Platform: Runs on both CPU and GPU with parallel computing support.

Petroleum Science

Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion, and Multiphysics Extension
Liu, F., Li, Y.-X., Su, R., Huang, J.-P., & Bai, L. (2025)

🔗Code Repository: github.com/liufeng2317/ADFWI

• DRFWI: A deep reparameterization framework for full waveform inversion.
• Architecture Benchmarking: Evaluates CNNs, U-Nets, MLPs, and related architectures for model reparameterization.
• Robustness: Assesses inversion performance under varying noise levels and sparse acquisition.
• Multi-Physics Extension: Introduces a backbone-branch structure for multiparameter inversion, reducing cross-parameter interference.

GJI

Multimodal Surface Wave Inversion with Automatic Differentiation
Liu, F., Li, J., Fu, L., & Lu, L. (2024)

🔗Code Repository: github.com/liufeng2317/ADsurf

• ADsurf: A PyTorch-based framework for multimodal surface wave inversion using automatic differentiation.
• High-Performance: Optimized on GPU with parallel computing support.
• Uncertainty Quantification: Provides uncertainty estimates for inversion results.

🎙 Geophysical Inversion

• Online on arXiv: Zou, G., Li, J., Liu, F., Zheng, X., Xie, J., & Chen, G. (2025). Self-Reinforced Deep Priors for Reparameterized Full Waveform Inversion
• Published in IEEE Transactions on Geoscience and Remote Sensing: Lin, J., Zhao, Y., Liu, F., Chen, J., Li, J., & Zhang, Y. (2026). Efficient Transient Electromagnetic Inversion With Automatic Differentiation
• Published in Journal of Geophysical Research: Machine Learning and Computation: Liu, F., Li, H., Zou, G., & Li, J. (2025). Automatic Differentiation-Based Full Waveform Inversion With Flexible Workflows
• Published in Geophysical Journal International: Liu, F., Li, J., Fu, L., & Lu, L. (2024). Multimodal Surface Wave Inversion with Automatic Differentiation

🎙 Seismic Monitoring

• Published in Bulletin of the Seismological Society of America: Han, X., Li, Z., Liu, F., Li, J., & Yao, H. (2025). Real-Time Local Shear-Wave Splitting Measurement: Application to the Vicinity of the Baihetan Hydropower Plant
• Published in Earthquake Research Advances: Li, J., Yao, H., Wang, B., Yang, Y., Hu, X., Zhang, L., Ye, B., Yang, J., Li, X., Liu, F., Chen, G., Guo, C., & Yang, W. (2022). A Real-Time AI-Assisted Seismic Monitoring System Based on New Nodal Stations with 4G Telemetry and Its Application in the Yangbi MS 6.4 Aftershock Monitoring in Southwest China

* Co-first authors.

🎖 Honors and Awards

• 2024.06: Outstanding Graduates of University of Science and Technology of China (master)
• 2021.06: Outstanding Graduates of Jilin University (bachelor)
• 2021.05: President’s Scholarship of Jilin University
• 2021.05: Nomination Award for Top Ten Self-Reliant and Self-Improving College Students of Jilin University (10 candidates)
• 2020.11: National Scholarship (Undergraduate)(Top 1%)
• 2019.11: National Scholarship (Undergraduate)(Top 1%)
• 2018.11: National Scholarship (Undergraduate)(Top 1%)

📖 Education

• 2024.09 - Now, PhD, Information and Communication Engineering, Shanghai Jiao Tong University
• 2021.09 - 2024.06, Master, Geophysics, University of Science and Technology of China
• 2017.09 - 2021.06, Bachelor, Exploration Technology and Engineering, Jilin University

💻 Open-source Projects and Datasets

📚 Projects

• ADFWI : An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
• ADsurf : An automatic differentiation based (AD-based) multimodal surface wave inversion tools

  📊 Datasets

• DispFormer-dataset : A benchmark dataset for surface wave dispersion curve inversion.