
Contextaware Crosslevel Fusion Network for Camouflaged Object Detection
Camouflaged object detection (COD) is a challenging task due to the low ...
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Optimal design for kernel interpolation: applications to uncertainty quantification
The paper is concerned with classic kernel interpolation methods, in add...
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An acceleration strategy for randomizethenoptimize sampling via deep neural networks
Randomizethenoptimize (RTO) is widely used for sampling from posterior...
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Stein variational gradient descent with local approximations
Bayesian computation plays an important role in modern machine learning ...
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ODE Transformer: An Ordinary Differential EquationInspired Model for Neural Machine Translation
It has been found that residual networks are an Euler discretization of ...
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Quantifying the efficacy of childcare services on women employment
Women are set back in the labor market after becoming mother. Intuitivel...
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Collaborative Filtering Approach to Link Prediction
Link prediction is a fundamental challenge in network science. Among var...
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Progresses and Challenges in Link Prediction
Link prediction is a paradigmatic problem in network science, which aims...
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Stability implies robust convergence of a class of diagonalizationbased iterative algorithms
Solving wave equations in a timeparallel manner is challenging, and the...
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A new discrete energy technique for multistep backward difference formulas
The backward differentiation formula (BDF) is a useful family of implici...
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An energy stable and maximum bound preserving scheme with variable time steps for time fractional AllenCahn equation
In this work, we propose a CrankNicolsontype scheme with variable step...
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Improving EEG Decoding via Clusteringbased Multitask Feature Learning
Accurate electroencephalogram (EEG) pattern decoding for specific mental...
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High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming
Lorentz transmission electron microscopy is a unique characterization te...
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Positive definiteness of real quadratic forms resulting from the variablestep approximation of convolution operators
The positive definiteness of real quadratic forms with convolution struc...
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Light Field Salient Object Detection: A Review and Benchmark
Salient object detection (SOD) is a longstanding research topic in comp...
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Dynamic Fusion based Federated Learning for COVID19 Detection
Medical diagnostic image analysis (e.g., CT scan or XRay) using machine...
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Sparse approximation of datadriven Polynomial Chaos expansions: an induced sampling approach
One of the open problems in the field of forward uncertainty quantificat...
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Analysis of the second order BDF scheme with variable steps for the molecular beam epitaxial model without slope selection
In this work, we are concerned with the stability and convergence analys...
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RGBD Salient Object Detection: A Survey
Salient object detection (SOD), which simulates the human visual percept...
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ParaDIAG: ParallelinTime Algorithms Based on the Diagonalization Technique
In 2008, Maday and Rønquist introduced an interesting new approach for t...
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InfNet: Automatic COVID19 Lung Infection Segmentation from CT Scans
Coronavirus Disease 2019 (COVID19) spread globally in early 2020, causi...
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Realtime sparsesampled Ptychographic imaging through deep neural networks
Ptychography has rapidly grown in the fields of Xray and electron imagi...
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On energy stable, maximumprinciple preserving, second order BDF scheme with variable steps for the AllenCahn equation
In this work, we investigate the twostep backward differentiation formu...
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HiNet: Hybridfusion Network for Multimodal MR Image Synthesis
Magnetic resonance imaging (MRI) is a widely used neuroimaging technique...
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Characterizing cycle structure in complex networks
The ubiquitous existence of cycles is one of important originations of n...
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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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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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Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
Clustering is a fundamental analysis tool aiming at classifying data poi...
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Computational Socioeconomics
Uncovering the structure of socioeconomic systems and timely estimation ...
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Robust Visual Tracking Revisited: From Correlation Filter to Template Matching
In this paper, we propose a novel matching based tracker by investigatin...
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Predicting Academic Performance for College Students: A Campus Behavior Perspective
Detecting abnormal behaviors of students in time and providing personali...
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Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Doodling is a useful and common intelligent skill that people can learn ...
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Customer Sharing in Economic Networks with Costs
In an economic market, sellers, infomediaries and customers constitute a...
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Payoff Control in the Iterated Prisoner's Dilemma
Repeated game has long been the touchstone model for agents' longrun re...
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Predicting drugtarget interactions via sparse learning
Drugtarget interaction (DTI) prediction plays a very important role in ...
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Attentionbased Natural Language Person Retrieval
Following the recent progress in image classification and captioning usi...
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Visual Tracking via Nonnegative Regularization Multiple Locality Coding
This paper presents a novel object tracking method based on approximated...
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Uncovering the information core in recommender systems
With the rapid growth of the Internet and overwhelming amount of informa...
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Conquering the rating bound problem in neighborhoodbased collaborative filtering: a function recovery approach
As an important tool for information filtering in the era of socialized ...
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Tao Zhou
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