3 citations · 4 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2025
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
Chuyu Zhou, ianyu Li, Chenxi Lan +7
Physics-informed neural networks (PINN) have achieved notable success in solving partial differential equations (PDE), yet solving the Navier-Stokes equations (NSE) with complex bo…
physics.flu-dyn2024★ 3 cited
Physics-Informed Neural Networks with Complementary Soft and Hard Constraints for Solving Complex Boundary Navier-Stokes Equations
Chuyu Zhou, Tianyu Li, Chenxi Lan +7
Soft- and hard-constrained Physics Informed Neural Networks (PINNs) have achieved great success in solving partial differential equations (PDEs). However, these methods still face…
cs.CV2022★ 1 cited
SIAD: Self-supervised Image Anomaly Detection System
Jiawei Li, Chenxi Lan, Xinyi Zhang +7
Recent trends in AIGC effectively boosted the application of visual inspection. However, most of the available systems work in a human-in-the-loop manner and can not provide long-t…