65 citations · 178 across the 11 of their papers we have counts for
11 papers
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…
Constrained high-index saddle dynamics for the solution landscape with equality constraints
Jianyuan Yin, Zhen Huang, Lei Zhang
We propose a constrained high-index saddle dynamics (CHiSD) method to search for index- saddle points of an energy functional subject to equality constraints. With Riemannian ma…
A discretize-then-map approach for the treatment of parameterized geometries in model order reduction
Tommaso Taddei, Lei Zhang
We present a general approach for the treatment of parameterized geometries in projection-based model order reduction. During the offline stage, given (i) a family of parameterized…
Blended Ghost Force Correction Method for 3D Crystalline Defects
Lidong Fang, Lei Zhang
Atomistic/continuum coupling method is a class of multiscale computational method for the efficient simulation of crystalline defects. The recently developed blended ghost force co…
Space-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs
Tommaso Taddei, Lei Zhang
We propose a model reduction procedure for rapid and reliable solution of parameterized hyperbolic partial differential equations. Due to the presence of parameter-dependent shock…
Transfer Adaptation Learning: A Decade Survey
Lei Zhang, Xinbo Gao
The world we see is ever-changing and it always changes with people, things, and the environment. Domain is referred to as the state of the world at a certain moment. A research pr…
Variational Bayesian Dropout with a Hierarchical Prior
Yuhang Liu, Wenyong Dong, Lei Zhang +2
Variational dropout (VD) is a generalization of Gaussian dropout, which aims at inferring the posterior of network weights based on a log-uniform prior on them to learn these weigh…
Face Recognition via Centralized Coordinate Learning
Xianbiao Qi, Lei Zhang
Owe to the rapid development of deep neural network (DNN) techniques and the emergence of large scale face databases, face recognition has achieved a great success in recent years.…