
Parallel multilevel restricted Schwarz preconditioners for implicit simulation of subsurface flows with PengRobinson equation of state
Parallel algorithms and simulators with good scalabilities are particula...
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Rethinking Image Inpainting via a Mutual EncoderDecoder with Feature Equalizations
Deep encoderdecoder based CNNs have advanced image inpainting methods f...
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AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
This paper targets on learningbased novel view synthesis from a single ...
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Parallel energystable solver for a coupled AllenCahn and CahnHilliard system
In this paper, we study numerical methods for solving the coupled Allen...
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On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters
The predominance of KohnSham density functional theory (KSDFT) for the...
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Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity
Despite numerous efforts for optimizing the performance of Sparse Matrix...
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A Multilevel Spectral Indicator Method for Eigenvalues of Large NonHermitian Matrices
Recently a novel family of eigensolvers, called spectral indicator metho...
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Misregistration Measurement and Improvement for Sentinel1 SAR and Sentinel2 Optical images
Coregistering the Sentinel1 SAR and Sentinel2 optical data of Europea...
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Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation
CoRegistration of aerial imagery and Light Detection and Ranging (LiDAR...
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PFNN: A PenaltyFree Neural Network Method for Solving a Class of SecondOrder BoundaryValue Problems on Complex Geometries
We present PFNN, a penaltyfree neural network method, to efficiently so...
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Efficient Alternating Least Squares Algorithms for Truncated HOSVD of HigherOrder Tensors
The truncated Tucker decomposition, also known as the truncated highero...
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OneShot Domain Adaptation For Face Generation
In this paper, we propose a framework capable of generating face images ...
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Quantum Fourier Transform Revisited
The fast Fourier transform (FFT) is one of the most successful numerical...
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OneStage Inpainting with Bilateral Attention and Pyramid Filling Block
Recent deep learning based image inpainting methods which utilize contex...
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Towards Disentangled Representations for Human Retargeting by Multiview Learning
We study the problem of learning disentangled representations for data a...
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Unconstrained Facial Expression Transfer using Stylebased Generator
Facial expression transfer and reenactment has been an important researc...
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BoundaryAware Salient Object Detection via Recurrent TwoStream Guided Refinement Network
Recent deep learning based salient object detection methods which utiliz...
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Constrained RCNN: A general image manipulation detection model
Recently, deep learningbased models have exhibited remarkable performan...
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Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
In this paper, we study Reinforcement Learning from Demonstrations (RLfD...
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Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
This paper studies Learning from Observations (LfO) for imitation learni...
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A Shift Selection Strategy for Parallel ShiftInvert Spectrum Slicing in Symmetric SelfConsistent Eigenvalue Computation
The central importance of large scale eigenvalue problems in scientific ...
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ContextIntegrated and FeatureRefined Network for Lightweight Urban Scene Parsing
Semantic segmentation for lightweight urban scene parsing is a very chal...
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Using Chinese Characters To Generate TextBased Passwords For Information Security
Graphical passwords (GPWs) are in many areas of the current world. Topol...
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Dependencyaware Attention Control for Unconstrained Face Recognition with Image Sets
This paper targets the problem of image setbased face verification and ...
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Coherent Semantic Attention for Image Inpainting
The latest deep learningbased approaches have shown promising results f...
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Deep Learning: Extrapolation Tool for Ab Initio Nuclear Theory
Ab initio approaches in nuclear theory, such as the NoCore Shell Model ...
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Textbased Passwords Generated From Topological Graphic Passwords
Topological graphic passwords (Topsnutgpws) are one of graphtype passw...
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A Survey on Deep Transfer Learning
As a new classification platform, deep learning has recently received in...
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A user model for JNDbased video quality assessment: theory and applications
The video quality assessment (VQA) technology has attracted a lot of att...
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Topological Graphic Passwords And Their Matchings Towards Cryptography
Graphical passwords (GPWs) are convenient for mobile equipments with tou...
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PortraitGAN for Flexible Portrait Manipulation
Previous methods have dealt with discrete manipulation of facial attribu...
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A JNDbased Video Quality Assessment Model and Its Application
Based on the JustNoticeableDifference (JND) criterion, a subjective vi...
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Analysis and prediction of JNDbased video quality model
The justnoticeabledifference (JND) visual perception property has rece...
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Show, Attend and Translate: Unsupervised Image Translation with SelfRegularization and Attention
Image translation between two domains is a class of problems aiming to l...
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SPGNet: Segmentation Prediction and Guidance Network for Image Inpainting
In this paper, we focus on image inpainting task, aiming at recovering t...
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Efficient Sparse Code Multiple Access Decoder Based on Deterministic Message Passing Algorithm
Being an effective nonorthogonal multiple access (NOMA) technique, spar...
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Image Inpainting using Blockwise Procedural Training with Annealed Adversarial Counterpart
Recent advances in deep generative models have shown promising potential...
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Image Inpainting using Blockwise Procedural Training with Annealed Adversarial Counterpar
Recent advances in deep generative models have shown promising potential...
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Image Inpainting using MultiScale Feature Image Translation
We study the task of image inpainting, which is to fill in the missing r...
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Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Recent advances in convolutional neural networks have shown promising re...
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PSelInv  A Distributed Memory Parallel Algorithm for Selected Inversion: the nonsymmetric Case
This paper generalizes the parallel selected inversion algorithm called ...
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A Model Order Reduction Algorithm for Estimating the Absorption Spectrum
The ab initio description of the spectral interior of the absorption spe...
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Parallel energystable phase field crystal simulations based on domain decomposition methods
In this paper, we present a parallel numerical algorithm for solving the...
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BSEPACK User's Guide
This is the user manual for the software package BSEPACK (BetheSalpete...
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HighResolution Image Inpainting using MultiScale Neural Patch Synthesis
Recent advances in deep learning have shown exciting promise in filling ...
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Accelerating Nuclear Configuration Interaction Calculations through a Preconditioned Block Iterative Eigensolver
We describe a number of recently developed techniques for improving the ...
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Symmetryaware Depth Estimation using Deep Neural Networks
Due to the abundance of 2D product images from the Internet, developing ...
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A LeftLooking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems
Given a sparse matrix A, the selected inversion algorithm is an efficien...
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Exact Hybrid Covariance Thresholding for Joint Graphical Lasso
This paper considers the problem of estimating multiple related Gaussian...
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Lowrank SIFT: An Affine Invariant Feature for Place Recognition
In this paper, we present a novel affineinvariant feature based on SIFT...
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Chao Yang
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Postdoctoral Researcher at Media Communications Lab (MCL) in University of Southern California (USC)