3 papers
cs.LG2026
SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion
Zhenyu Wang, Peiyuan Li, Yongxiang Shi +3
Full-waveform inversion (FWI) is pivotal for reconstructing high-resolution subsurface velocity models but remains computationally intensive and ill-posed. While deep learning appr…
cs.LG2025
SA-EMO: Structure-Aligned Encoder Mixture of Operators for Generalizable Full-waveform Inversion
Wang Zhenyu, Li Peiyuan, Shi Yongxiang +2
Full-waveform inversion (FWI) can produce high-resolution subsurface models, yet it remains inherently ill-posed, highly nonlinear, and computationally intensive. Although recent d…
cs.NI2025
Smart Interrupted Routing Based on Multi-head Attention Mask Mechanism-Driven MARL in Software-defined UASNs
Zhenyu Wang, Chuan Lin, Guangjie Han +3
Routing-driven timely data collection in Underwater Acoustic Sensor Networks (UASNs) is crucial for marine environmental monitoring, disaster warning and underwater resource explor…