
Deep Transfer Learning for Static Malware Classification
We propose to apply deep transfer learning from computer vision to stati...
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FFusionCGAN: An endtoend fusion method for fewfocus images using conditional GAN in cytopathological digital slides
Multifocus image fusion technologies compress different focus depth ima...
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Robust Federated Learning with Noisy Communication
Federated learning is a communicationefficient training process that al...
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Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method
Convolutional neural networks (CNNs) are easily spoofed by adversarial e...
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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Change detection is a basic task of remote sensing image processing. The...
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Multistage domain adversarial style reconstruction for cytopathological image stain normalization
The different stain styles of cytopathological images have a negative ef...
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AU RCNN: Encoding Expert Prior Knowledge into RCNN for Action Unit Detection
Modeling action units (AUs) on human faces is challenging because variou...
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Uniform Interpolation Constrained Geodesic Learning on Data Manifold
In this paper, we propose a method to learn a minimizing geodesic within...
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Understanding the Importance of Single Directions via Representative Substitution
Understanding the internal representations of deep neural networks (DNNs...
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DAPnet: A double selfattention convolutional network for segmentation of point clouds
LiDAR point cloud has a complex structure and the 3D semantic labeling o...
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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
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A Survey on Conversational Recommender Systems
Recommender systems are software applications that help users to find it...
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Dense Dilated Network with Probability Regularized Walk for Vessel Detection
The detection of retinal vessel is of great importance in the diagnosis ...
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Adversarial Example in Remote Sensing Image Recognition
With the wide application of remote sensing technology in various fields...
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Blurry Video Frame Interpolation
Existing works reduce motion blur and upconvert frame rate through two ...
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Semisupervised classification for dynamic Android malware detection
A growing number of threats to Android phones creates challenges for mal...
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Sparse Algorithm for Robust LSSVM in Primal Space
As enjoying the closed form solution, least squares support vector machi...
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Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Deep neural networks (DNNs) have achieved great success in solving a var...
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Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption
The sparse representation classifier (SRC) proposed in Wright et al. (20...
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Stochastic Blockmodeling for Online Advertising
Online advertising is an important and huge industry. Having knowledge o...
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On Study of the Binarized Deep Neural Network for Image Classification
Recently, the deep neural network (derived from the artificial neural ne...
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Robust Vertex Classification
For random graphs distributed according to stochastic blockmodels, a spe...
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Spectral Clustering for DivideandConquer Graph Matching
We present a parallelized bijective graph matching algorithm that levera...
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Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity
Intratumor heterogeneity is often manifested by vascular compartments wi...
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Genus Computing for 3D digital objects: algorithm and implementation
This paper deals with computing topological invariants such as connected...
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Linear Time Recognition Algorithms for Topological Invariants in 3D
In this paper, we design linear time algorithms to recognize and determi...
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lambdaConnectedness Determination for Image Segmentation
Image segmentation is to separate an image into distinct homogeneous reg...
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Harmonic Functions for Data Reconstruction on 3D Manifolds
In computer graphics, smooth data reconstruction on 2D or 3D manifolds u...
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Algebraic Soft Decoding Algorithms for ReedSolomon Codes Using Module
The interpolation based algebraic decoding for ReedSolomon (RS) codes c...
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Ynet: 3D intracranial artery segmentation using a convolutional autoencoder
Automated segmentation of intracranial arteries on magnetic resonance an...
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Vertex nomination: The canonical sampling and the extended spectral nomination schemes
Suppose that one particular block in a stochastic block model is deemed ...
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HeNet: A Deep Learning Approach on Intel^ Processor Trace for Effective Exploit Detection
This paper presents HeNet, a hierarchical ensemble neural network, appli...
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Cultivating Software Performance in Cloud Computing
There exist multitudes of cloud performance metrics, including workload ...
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Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
The rapidly growing body of research in adversarial machine learning has...
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OvertheAir Computation in MIMO MultiAccess Channels: Beamforming and Channel Feedback
To support future IoT networks with dense sensor connectivity, a techniq...
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Programmable Switch as a Parallel Computing Device
Modern switches have packet processing capacity of up to multitera bits...
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TCP Decoupling for Next Generation Communication System
In traditional networks, interfaces of network nodes are duplex. But, em...
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Computation over WideBand MAC: Improved Achievable Rate through SubFunction Allocation
Future networks are expected to connect an enormous number of nodes wire...
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ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Adversarial machine learning research has recently demonstrated the feas...
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Computation Over NOMA: Improved Achievable Rate Through SubFunction Superposition
Massive numbers of nodes will be connected in future wireless networks. ...
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Towards resilient machine learning for ransomware detection
There has been a surge of interest in using machine learning (ML) to aut...
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Digital Geometry, a Survey
This paper provides an overview of modern digital geometry and topology ...
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RankingBased Autoencoder for Extreme Multilabel Classification
Extreme Multilabel classification (XML) is an important yet challenging...
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Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions
My research lies in the intersection of security and machine learning. T...
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BiRANet: Bilinear Attention Net for Diabetic Retinopathy Grading
Diabetic retinopathy (DR) is a common retinal disease that leads to blin...
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To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
Converting malware into images followed by visionbased deep learning al...
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Sparse Representation Classification via Screening for Graphs
The sparse representation classifier (SRC) is shown to work well for ima...
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Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels
For graphs generated from stochastic blockmodels, adjacency spectral emb...
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An EndtoEnd Block Autoencoder For Physical Layer Based On Neural Networks
Deep Learning has been widely applied in the area of image processing an...
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MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
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