Li Chen

Deep Transfer Learning for Static Malware Classification

We propose to apply deep transfer learning from computer vision to stati...
12/18/2018 ∙ by Li Chen, et al. ∙ 40 ∙ share

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FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides

Multi-focus image fusion technologies compress different focus depth ima...
01/03/2020 ∙ by Xiebo Geng, et al. ∙ 32 ∙ share

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Robust Federated Learning with Noisy Communication

Federated learning is a communication-efficient training process that al...
11/01/2019 ∙ by Fan Ang, et al. ∙ 22 ∙ share

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Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method

Convolutional neural networks (CNNs) are easily spoofed by adversarial e...
12/25/2018 ∙ by Li Chen, et al. ∙ 20 ∙ share

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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...
03/07/2020 ∙ by Jie Chen, et al. ∙ 15 ∙ share

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Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization

The different stain styles of cytopathological images have a negative ef...
09/11/2019 ∙ by Xihao Chen, et al. ∙ 12 ∙ share

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AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection

Modeling action units (AUs) on human faces is challenging because variou...
12/14/2018 ∙ by Chen Ma, et al. ∙ 10 ∙ share

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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...
02/12/2020 ∙ by Cong Geng, et al. ∙ 9 ∙ share

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Understanding the Importance of Single Directions via Representative Substitution

Understanding the internal representations of deep neural networks (DNNs...
11/27/2018 ∙ by Li Chen, et al. ∙ 8 ∙ share

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DAPnet: A double self-attention convolutional network for segmentation of point clouds

LiDAR point cloud has a complex structure and the 3D semantic labeling o...
04/18/2020 ∙ by Li Chen, et al. ∙ 8 ∙ share

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Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Remote sensing image scene classification is a fundamental but challengi...
01/27/2020 ∙ by Jie Chen, et al. ∙ 7 ∙ share

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A Survey on Conversational Recommender Systems

Recommender systems are software applications that help users to find it...
04/01/2020 ∙ by Dietmar Jannach, et al. ∙ 7 ∙ share

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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 ...
10/26/2019 ∙ by Lei Mou, et al. ∙ 5 ∙ share

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Adversarial Example in Remote Sensing Image Recognition

With the wide application of remote sensing technology in various fields...
10/29/2019 ∙ by Li Chen, et al. ∙ 3 ∙ share

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Blurry Video Frame Interpolation

Existing works reduce motion blur and up-convert frame rate through two ...
02/27/2020 ∙ by Wang Shen, et al. ∙ 2 ∙ share

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Semi-supervised classification for dynamic Android malware detection

A growing number of threats to Android phones creates challenges for mal...
04/19/2017 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Sparse Algorithm for Robust LSSVM in Primal Space

As enjoying the closed form solution, least squares support vector machi...
02/07/2017 ∙ by Li Chen, et al. ∙ 0 ∙ share

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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...
05/08/2017 ∙ by Nilaksh Das, et al. ∙ 0 ∙ share

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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...
02/04/2015 ∙ by Cencheng Shen, et al. ∙ 0 ∙ share

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Stochastic Blockmodeling for Online Advertising

Online advertising is an important and huge industry. Having knowledge o...
10/24/2014 ∙ by Li Chen, et al. ∙ 0 ∙ share

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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...
02/24/2016 ∙ by Song Wang, et al. ∙ 0 ∙ share

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Robust Vertex Classification

For random graphs distributed according to stochastic blockmodels, a spe...
11/23/2013 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Spectral Clustering for Divide-and-Conquer Graph Matching

We present a parallelized bijective graph matching algorithm that levera...
10/04/2013 ∙ by Vince Lyzinski, et al. ∙ 0 ∙ share

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Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity

Intratumor heterogeneity is often manifested by vascular compartments wi...
06/14/2013 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Genus Computing for 3D digital objects: algorithm and implementation

This paper deals with computing topological invariants such as connected...
12/25/2009 ∙ by Li Chen, et al. ∙ 0 ∙ share

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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...
04/12/2008 ∙ by Li Chen, et al. ∙ 0 ∙ share

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lambda-Connectedness Determination for Image Segmentation

Image segmentation is to separate an image into distinct homogeneous reg...
03/16/2008 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Harmonic Functions for Data Reconstruction on 3D Manifolds

In computer graphics, smooth data reconstruction on 2D or 3D manifolds u...
02/01/2011 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Algebraic Soft Decoding Algorithms for Reed-Solomon Codes Using Module

The interpolation based algebraic decoding for Reed-Solomon (RS) codes c...
12/04/2017 ∙ by Jiongyue Xing, et al. ∙ 0 ∙ share

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Y-net: 3D intracranial artery segmentation using a convolutional autoencoder

Automated segmentation of intracranial arteries on magnetic resonance an...
12/19/2017 ∙ by Li Chen, et al. ∙ 0 ∙ share

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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 ...
02/14/2018 ∙ by Jordan Yoder, et al. ∙ 0 ∙ share

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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...
01/08/2018 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Cultivating Software Performance in Cloud Computing

There exist multitudes of cloud performance metrics, including workload ...
11/22/2016 ∙ by Li Chen, et al. ∙ 0 ∙ share

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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...
02/19/2018 ∙ by Nilaksh Das, et al. ∙ 0 ∙ share

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Over-the-Air Computation in MIMO Multi-Access Channels: Beamforming and Channel Feedback

To support future IoT networks with dense sensor connectivity, a techniq...
03/29/2018 ∙ by Guangxu Zhu, et al. ∙ 0 ∙ share

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Programmable Switch as a Parallel Computing Device

Modern switches have packet processing capacity of up to multi-tera bits...
03/05/2018 ∙ by Li Chen, et al. ∙ 0 ∙ share

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TCP Decoupling for Next Generation Communication System

In traditional networks, interfaces of network nodes are duplex. But, em...
04/08/2018 ∙ by Xiaohui Chen, et al. ∙ 0 ∙ share

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Computation over Wide-Band MAC: Improved Achievable Rate through Sub-Function Allocation

Future networks are expected to connect an enormous number of nodes wire...
06/22/2018 ∙ by Fangzhou Wu, et al. ∙ 0 ∙ share

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ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio

Adversarial machine learning research has recently demonstrated the feas...
05/30/2018 ∙ by Nilaksh Das, et al. ∙ 0 ∙ share

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Computation Over NOMA: Improved Achievable Rate Through Sub-Function Superposition

Massive numbers of nodes will be connected in future wireless networks. ...
12/13/2018 ∙ by Fangzhou Wu, et al. ∙ 0 ∙ share

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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...
12/21/2018 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Digital Geometry, a Survey

This paper provides an overview of modern digital geometry and topology ...
07/06/2018 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Ranking-Based Autoencoder for Extreme Multi-label Classification

Extreme Multi-label classification (XML) is an important yet challenging...
04/11/2019 ∙ by Bingyu Wang, et al. ∙ 0 ∙ share

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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...
04/03/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading

Diabetic retinopathy (DR) is a common retinal disease that leads to blin...
05/15/2019 ∙ by Ziyuan Zhao, et al. ∙ 0 ∙ share

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To believe or not to believe: Validating explanation fidelity for dynamic malware analysis

Converting malware into images followed by vision-based deep learning al...
04/30/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Sparse Representation Classification via Screening for Graphs

The sparse representation classifier (SRC) is shown to work well for ima...
06/04/2019 ∙ by Cencheng Shen, et al. ∙ 0 ∙ share

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Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels

For graphs generated from stochastic blockmodels, adjacency spectral emb...
05/16/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks

Deep Learning has been widely applied in the area of image processing an...
06/15/2019 ∙ by Tianjie Mu, et al. ∙ 0 ∙ share

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MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks

Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
08/06/2019 ∙ by Chen Ma, et al. ∙ 0 ∙ share

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Li Chen

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