Publications
I actively contribute to the field of AI4Geoscience by designing and deploying machine learning solutions for complex data environments like seismic and DAS. My work addresses practical needs in subsurface data processing, interpretation, inversion, modeling and geophysical monitoring. This research, which integrates Earth Science with computational methods, has been published in journals such as Geophysics, IEEE TIP, Communications Engineering, IEEE TGRS and Computers & Geosciences.
You can find my full publications on Google Scholar profile.
(*:equal contribution, †:corresponding author)
Under Revision and Preprints
[4] A Universal Diffusion Regularizer for Geophysical Inversion
Long Han, Xinming Wu†, Xiaoming Sun, Jintao Li, Yimin Dou
Submitted
Long Han, Xinming Wu†, Xiaoming Sun, Jintao Li, Yimin Dou
Submitted
[3] Deep Learning-based Seismic Reflectivity Estimation using Labeled Synthetic Data Pre-training and Physics-guided Fine-tuning in Field Data
Yuting Wang, Jintao Li†, Xiaoming Sun and Xinming Wu
Geophysics, Moderate revision
Yuting Wang, Jintao Li†, Xiaoming Sun and Xinming Wu
Geophysics, Moderate revision
[2] Geological Everything Model 3D: A Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding
Yimin Dou, Xinming Wu, Nathan L Bangs, Harpreet Singh Sethi, Jintao Li, Hang Gao, Zhixiang Guo
Under Revision | arXiv | project | code
Yimin Dou, Xinming Wu, Nathan L Bangs, Harpreet Singh Sethi, Jintao Li, Hang Gao, Zhixiang Guo
Under Revision | arXiv | project | code
[1] On the workflow, opportunities and challenges of developing foundation model in geophysics
Hanlin Sheng, Xinming Wu, Hang Gao, Haibin Di, Sergey Fomel, Jintao Li, Xu Si
Review Paper | arXiv
Hanlin Sheng, Xinming Wu, Hang Gao, Haibin Di, Sergey Fomel, Jintao Li, Xu Si
Review Paper | arXiv
Published Papers
[7] High‑Fidelity Seismic Super‑Resolution Using Prior‑Informed Deep Learning with 3D Awareness
Jintao Li, Xinming Wu, Xianwen Zhang, Xin Du, Xiaoming Sun, Bao Deng and Guangyu Wang
IEEE Transactions on Image Processing (IEEE TIP) 2026 [CCF-A, IF 13.7!]
Paper | [Code] | PDF
Jintao Li, Xinming Wu, Xianwen Zhang, Xin Du, Xiaoming Sun, Bao Deng and Guangyu Wang
IEEE Transactions on Image Processing (IEEE TIP) 2026 [CCF-A, IF 13.7!]
Paper | [Code] | PDF
[6] Memory-Efficient Full-Volume Inference for Large-Scale 3D Dense Prediction without Performance Degradation
Jintao Li and Xinming Wu
Communications Engineering 2026 [Nature Portfolio]
This paper was unanimously recognized by all three named reviewers
Paper | Code
| PDF | Peer Review File | More Details
Jintao Li and Xinming Wu
Communications Engineering 2026 [Nature Portfolio]
This paper was unanimously recognized by all three named reviewers
Paper | Code
| PDF | Peer Review File | More Details [5] Seismic foundation model: A next generation deep-learning model in geophysics
Hanlin Sheng, Xinming Wu, Xu Si, Jintao Li, Sibo Zhang, Xudong Duan
Geophysics, 90(2), pp.IM59-IM79. 2025
Paper | Code
Hanlin Sheng, Xinming Wu, Xu Si, Jintao Li, Sibo Zhang, Xudong Duan
Geophysics, 90(2), pp.IM59-IM79. 2025
Paper | Code
[4] CIGVis: an open-source Python tool for real-time interactive visualization of multidimensional geophysical data
Jintao Li, Yunzhi Shi and Xinming Wu
Geophysics, 90(1), pp.1‑37. 2025
Paper | Code
| PDF
Jintao Li, Yunzhi Shi and Xinming Wu
Geophysics, 90(1), pp.1‑37. 2025
Paper | Code
| PDF [3] MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis
Long Han, Xinming Wu, Zhanxuan Hu, Jintao Li, Huijing Fang
Computers & Geosciences, 193, p.105731. 2024
Paper
Long Han, Xinming Wu, Zhanxuan Hu, Jintao Li, Huijing Fang
Computers & Geosciences, 193, p.105731. 2024
Paper
[2] Unsupervised contrastive learning for seismic facies characterization
Jintao Li, Xinming Wu, Yueming Ye, Cun Yang, Zhanxuan Hu, Xiaoming Sun and Tao Zhao
Geophysics, Vol. 88(1), WA81–WA89. 2023
Paper ｜ PDF
Jintao Li, Xinming Wu, Yueming Ye, Cun Yang, Zhanxuan Hu, Xiaoming Sun and Tao Zhao
Geophysics, Vol. 88(1), WA81–WA89. 2023
Paper ｜ PDF
[1] Deep learning for simultaneous seismic super-resolution and denoising
Jintao Li, Xinming Wu and Zhanxuan Hu [ESI Highly Cited Paper!]
IEEE Transactions on Geoscience & Remote Sensing (IEEE TGRS), Vol. 60, pp. 1-11. 2022
Paper ｜ Code
| PDF
Jintao Li, Xinming Wu and Zhanxuan Hu [ESI Highly Cited Paper!]
IEEE Transactions on Geoscience & Remote Sensing (IEEE TGRS), Vol. 60, pp. 1-11. 2022
Paper ｜ Code
| PDF Conference Abstracts and Presentations
[4] Tuning into Earth’s Voice: Leveraging Large Language Models for Earthquake Detection
Xu Si, Xinming Wu, Jintao Li, Xin Cui, Hanlin Sheng, Hang Gao, Zefeng Li, Zhigang Peng
AGU Fall Meeting Abstracts 2024
Paper
Xu Si, Xinming Wu, Jintao Li, Xin Cui, Hanlin Sheng, Hang Gao, Zefeng Li, Zhigang Peng
AGU Fall Meeting Abstracts 2024
Paper
[3] Seismic Foundation Model (SFM): All-Purpose Feature Extraction from Seismic Data for Diverse Geophysical Applications
Hanlin Sheng, Xinming Wu, Xu Si, Jintao Li, Sibo Zhang, Xudong Duan
85th EAGE Annual Conference & Exhibition, Jun 2024 (EI)
Paper | Code
Hanlin Sheng, Xinming Wu, Xu Si, Jintao Li, Sibo Zhang, Xudong Duan
85th EAGE Annual Conference & Exhibition, Jun 2024 (EI)
Paper | Code
[2] CIGVis: an open-source Python tool for real-time interactive visualization of multidimensional geophysical data
Jintao Li, Yunzhi Shi and Xinming Wu
85th EAGE Annual Conference & Exhibition, Jun 2024 (EI)
Paper | Code | PDF
Jintao Li, Yunzhi Shi and Xinming Wu
85th EAGE Annual Conference & Exhibition, Jun 2024 (EI)
Paper | Code
| PDF [1] Deep learning for simultaneous seismic super-resolution and denoising
Jintao Li, Xinming Wu and Zhanxuan Hu
SEG International Exposition and Annual Meeting 2020 (EI)
Paper ｜ Code | PDF
Jintao Li, Xinming Wu and Zhanxuan Hu
SEG International Exposition and Annual Meeting 2020 (EI)
Paper ｜ Code
| PDF Main Co-Authors and Collaborators
Xinming Wu (USTC)Weichang Li (ZJU)
Xiaoming Sun (USTC)
Zhanxuan Hu
Tao Zhao (SLB)
Hanlin Sheng
Xu Si (Georgia Tech)
Xin Cui (USTC)
Hui Gao (USTC)
Yaxing Li
Jiarun Yang
...