📝 Publications

JGR M&C

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

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

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

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.