30 citations · 35 across the 3 of their papers we have counts for
4 papers · 1 filter
DeePN: A deep learning-based non-Newtonian hydrodynamic model
Lidong Fang, Pei Ge, Lei Zhang +2
A long standing problem in the modeling of non-Newtonian hydrodynamics of polymeric flows is the availability of reliable and interpretable hydrodynamic models that faithfully enco…
Domain Adaptive SiamRPN++ for Object Tracking in the Wild
Zhongzhou Zhang, Lei Zhang
Benefit from large-scale training data, recent advances in Siamese-based object tracking have achieved compelling results on the normal sequences. Whilst Siamese-based trackers ass…
Registration-based model reduction of parameterized two-dimensional conservation laws
Andrea Ferrero, Tommaso Taddei, Lei Zhang
We propose a nonlinear registration-based model reduction procedure for rapid and reliable solution of parameterized two-dimensional steady conservation laws. This class of problem…
Registration-based model reduction in complex two-dimensional geometries
Tommaso Taddei, Lei Zhang
We present a general -- i.e., independent of the underlying equation -- registration procedure for parameterized model order reduction. Given the spatial domain $Ω\subset \mathbb{R…