2 citations · 3 across the 3 of their papers we have counts for
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physics.geo-ph2025★ 2 cited
Geological Everything Model 3D: A Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding
Yimin Dou, Xinming Wu, Nathan L Bangs +4
Understanding Earth's subsurface is critical for energy transition, natural hazard mitigation, and planetary science. Yet subsurface analysis remains fragmented, with separate mode…
physics.geo-ph2025
On the workflow, opportunities and challenges of developing foundation model in geophysics
Hanlin Sheng, Xinming Wu, Hang Gao +4
Foundation models, as a mainstream technology in artificial intelligence, have demonstrated immense potential across various domains in recent years, particularly in handling compl…
physics.geo-ph2024★ 1 cited
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
Hang Gao, Xinming Wu, Luming Liang +4
Seismic geobody interpretation is crucial for structural geology studies and various engineering applications. Existing deep learning methods show promise but lack support for mult…