About Me

I am currently a Postdoctoral Researcher at Zhejiang University, working with Prof. Weichang Li. I received my Ph.D. in Geophysics from the University of Science and Technology of China (USTC) in 2025, where I worked with the Computational Interpretation Group (CIG) under the supervision of Prof. Xinming Wu. Prior to that, I obtained my B.S. degree in Geophysics from USTC in 2020.

My research interests lie at the intersection of machine learning and geophysics. This includes post-stack seismic data processing, interpretation, and inversion, distributed acoustic sensing (DAS) data analysis, and the development of geophysical foundation models. I also work on building efficient geophysical software tools, including 3d geophysical data visualization.

Research Interests

• AI for Geophysics
• Foundation Models for DAS and Seismic
• DAS data analysis
• Subsea Fiber-Optic Sensing & Marine Environment Monitoring
• Seismic Super-Resolution
• Seismic Interpretation
• Geophysical Software

News

• Feb. 2026: Our paper was accepted by IEEE Transactions on Image Processing (TIP).

• Jan. 2026: Our work on memory-efficient 3D data inference, published in Communications Engineering, has been featured in news reports by Bioengineer.org and GeneOnline.

• Nov. 2025: Our paper was accepted by Communications Engineering, a new engineering journal under the Nature Portfolio and the first Nature journal dedicated to engineering research.

• Sep. 2025: Jintao joined Zhejiang University as a Postdoctoral Researcher.

• May 2025: Jintao successfully passed his Ph.D. defense at the University of Science and Technology of China (USTC).

Selected Publications

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 2026 [CCF-A, IF 13.7!]
[paper] [More Details]
TL;DR: [Super-Resolution] Prior-Informed Seismic Super-Resolution

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 named reviewers
[paper] [code] [Peer Review File] [More Details]
TL;DR: [Efficiency] Memory-Efficient Full-Volume Inference for 3D Prediction

CIGVis: an open-source Python tool for real-time interactive visualization of multidimensional geophysical data
Jintao Li, Yunzhi Shi and Xinming Wu
Geophysics 2025
[paper] [code] [More Details]
TL;DR: [Visualization] Real-Time Interactive 3D Geophysical Visualization

Unsupervised contrastive learning for seismic facies characterization
Jintao Li, Xinming Wu, Yueming Ye, Cun Yang, Zhanxuan Hu, Xiaoming Sun and Tao Zhao
Geophysics 2023 [paper]
TL;DR: [Interpretation] Contrastive Learning for Seismic Facies

Deep learning for simultaneous seismic super-resolution and denoising
Jintao Li, Xinming Wu and Zhanxuan Hu
IEEE TGRS 2022 [ESI Highly Cited Paper!]
[paper] [code]
TL;DR: [Super-Resolution] Seismic Super-Resolution