
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
We propose the Poisson neural networks (PNNs) to learn Poisson systems a...
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Indirect Image Registration with Large Diffeomorphic Deformations
The paper adapts the large deformation diffeomorphic metric mapping fram...
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BarzilaiBorwein Step Size for Stochastic Gradient Descent
One of the major issues in stochastic gradient descent (SGD) methods is ...
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On Bspline framelets derived from the unitary extension principle
Spline wavelet tight frames of RonShen have been used widely in frame b...
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Discrete schemes for Gaussian curvature and their convergence
In this paper, several discrete schemes for Gaussian curvature are surve...
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Joint Base Station Clustering and Beamforming for NonOrthogonal Multicast and Unicast Transmission with Backhaul Constraints
The demand for providing multicast services in cellular networks is cont...
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OneBit Precoding and Constellation Range Design for Massive MIMO with QAM Signaling
The use of lowresolution digitaltoanalog converters (DACs) for transm...
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Incentivizing WiFi Network Crowdsourcing: A Contract Theoretic Approach
Crowdsourced wireless community network enables individual users to shar...
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MaxMin Fairness User Scheduling and Power Allocation in FullDuplex OFDMA Systems
In a fullduplex (FD) multiuser network, the system performance is not ...
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Optimized BaseStation Cache Allocation for Cloud Radio Access Network with Multicast Backhaul
The performance of cloud radio access network (CRAN) is limited by the ...
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Phase retrieval from the magnitudes of affine measurements
In this paper, we consider the generalized phase retrieval from affine m...
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Phase retrieval from the norms of affine transformations
In this paper, we consider the generalized phase retrieval from affine m...
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Solving Systems of Quadratic Equations via Exponentialtype Gradient Descent Algorithm
We consider the rank minimization problem from quadratic measurements, i...
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Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks
We proposed a modified regularized dual averaging method for training sp...
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Application of Bounded Total Variation Denoising in Urban Traffic Analysis
While it is believed that denoising is not always necessary in many big ...
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Improved bounds for the RIP of Subsampled Circulant matrices
In this paper, we study the restricted isometry property of partial rand...
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Adaptive LowNonnegativeRank Approximation for State Aggregation of Markov Chains
This paper develops a lownonnegativerank approximation method to ident...
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On DC based Methods for Phase Retrieval
In this paper, we develop a new computational approach which is based on...
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A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging
We propose a new variational model for joint image reconstruction and mo...
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An Enhanced SDR based Global Algorithm for Nonconvex Complex Quadratic Programs with Signal Processing Applications
In this paper, we consider a class of nonconvex complex quadratic progra...
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On the Equivalence of Semidifinite Relaxations for MIMO Detection with General Constellations
The multipleinput multipleoutput (MIMO) detection problem is a fundame...
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Training GANs with Centripetal Acceleration
Training generative adversarial networks (GANs) often suffers from cycli...
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Subset Selection for Matrices with Fixed Blocks
Subset selection for matrices is the task of extracting a column submat...
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Joint Switch Upgrade and Controller Deployment in Hybrid SoftwareDefined Networks
To improve traffic management ability, Internet Service Providers (ISPs)...
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The estimation performance of nonlinear least squares for phase retrieval
Suppose that y= Ax_0+η where x_0∈R^d is the target signal and η∈R^m is a...
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Dynamic evaluation of exponential polynomial curves and surfaces via basis transformation
It is shown in "SIAM J. Sci. Comput. 39 (2017):B424B441" that freeform...
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Mathematical and numerical analysis of a nonlocal Drude model in nanoplasmonics
In this paper, we consider the frequencydomain Maxwell's equations coup...
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Wordseries highorder averaging of highly oscillatory differential equations with delay
We show that, for appropriate combinations of the values of the delay an...
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TwoGrid based Adaptive Proper Orthogonal Decomposition Algorithm for Time Dependent Partial Differential Equations
In this article, we propose a twogrid based adaptive proper orthogonal ...
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Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the WongZakai approximation
We investigate the stochastic modified equation which plays an important...
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Eigenfunction Behavior and Adaptive Finite Element Approximations of Nonlinear Eigenvalue Problems in Quantum Physics
In this paper, we investigate a class of nonlinear eigenvalue problems r...
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Gradient Flow Based Discretized KohnSham Density Functional Theory
In this paper, we propose and analyze a gradient flow based KohnSham de...
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Energypreserving multisymplectic RungeKutta methods for Hamiltonian wave equations
It is wellknown that a numerical method which is at the same time geome...
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Analysis of a full discretization of stochastic CahnHilliard equation with unbounded noise diffusion
In this article, we develop and analyze a full discretization, based on ...
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The Convergence Rate of MsFEM for Various Boundary Problems
In this paper, we give a detailed analysis of the effectiveness of class...
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Sparse Representation of Gaussian Molecular Surface
In this paper, we propose a model and algorithm for sparse representing ...
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Almost Everywhere Generalized Phase Retrieval
The aim of generalized phase retrieval is to recover x∈F^d from the quad...
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A high accuracy nonconforming finite element scheme for Helmholtz transmission eigenvalue problem
In this paper, we consider a cubic H^2 nonconforming finite element sche...
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A secondorder and nonuniform timestepping maximumprinciple preserving scheme for timefractional AllenCahn equations
In this work, we present a secondorder nonuniform timestepping scheme ...
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An adaptive surrogate modeling based on deep neural networks for largescale Bayesian inverse problems
It is popular approaches to use surrogate models to speed up the computa...
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The recovery of complex sparse signals from few phaseless measurements
We study the stable recovery of complex ksparse signals from as few pha...
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Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions
We propose a method due to Nitsche (Deep Nitsche Method) from 1970s to d...
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MaxMin Fairness in IRSAided MultiCell MISO Systems via Joint Transmit and Reflective Beamforming
This paper investigates an intelligent reflecting surface (IRS)aided mu...
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Guaranteed Lower Eigenvalue Bound of Steklov Operator with Conforming Finite Element Methods
For the eigenvalue problem of the Steklov differential operator, by foll...
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A diagonal sweeping domain decomposition method with source transfer for the Helmholtz equation
In this paper, we propose a novel diagonal sweeping domain decomposition...
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Network Slicing for ServiceOriented Networks with Flexible Routing and Guaranteed E2E Latency
Network function virtualization is a promising technology to simultaneou...
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Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO
This paper considers the massive random access problem in which a large ...
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Performance bound of the intensitybased model for noisy phase retrieval
The aim of noisy phase retrieval is to estimate a signal x_0∈C^d from m ...
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An efficient diffusion generated motion method for wetting dynamics
By using the Onsager variational principle as an approximation tool, we ...
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Molecular Sparse Representation by 3D Ellipsoid Radial Basis Function Neural Networks via L_1 Regularization
In this paper, we have developed an ellipsoid radial basis function neur...
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Chinese Academy of Science