b'Jing Wang'

A Guide to Global Quantum Key Distribution Networks

We describe systems and methods for the deployment of global quantum key...
12/28/2020 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions

This paper addresses the problem of optimizing partition functions in a ...
11/03/2020 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Point Cloud Attribute Compression via Successive Subspace Graph Transform

Inspired by the recently proposed successive subspace learning (SSL) pri...
10/29/2020 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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Eliminating the Barriers: Demystify Wi-Fi Baseband Design And Introduce PicoScenes Wi-Fi Sensing Platform

Research on Wi-Fi sensing over the past decade has been thriving, but no...
10/20/2020 ∙ by Zhiping Jiang, et al. ∙ 0 ∙ share

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A Time To Event Framework For Multi-touch Attribution

Multi-touch attribution (MTA) estimates the relative contributions of th...
09/17/2020 ∙ by Dinah Shender, et al. ∙ 0 ∙ share

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LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

Logo detection has been gaining considerable attention because of its wi...
08/12/2020 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions

Bayesian networks are powerful statistical models to study the probabili...
07/31/2020 ∙ by Syed Hasib Akhter Faruqui, et al. ∙ 0 ∙ share

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FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method

Failure detection is employed in the industry to improve system performa...
07/30/2020 ∙ by Jairo Viola, et al. ∙ 4 ∙ share

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Quantum Secured Internet Transport

Quantum computing represents an emerging threat to the public key infras...
07/10/2020 ∙ by Bernardo Huberman, et al. ∙ 0 ∙ share

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Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment

In this study, we focus on the unsupervised domain adaptation problem wh...
06/23/2020 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Discriminative Feature Alignment: ImprovingTransferability of Unsupervised DomainAdaptation by Gaussian-guided LatentAlignment

In this study, we focus on the unsupervised domain adaptation problem wh...
06/23/2020 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

Fluorescein angiography can provide a map of retinal vascular structure ...
06/18/2020 ∙ by Wanyue Li, et al. ∙ 0 ∙ share

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Endpoints for randomized controlled clinical trials for COVID-19 treatments

Introduction: Endpoint choice for randomized controlled trials of treatm...
06/09/2020 ∙ by Lori E Dodd, et al. ∙ 0 ∙ share

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Reinforcement Learning-Based Joint Self-Optimisation Method for the Fuzzy Logic Handover Algorithm in 5G HetNets

5G heterogeneous networks (HetNets) can provide higher network coverage ...
06/09/2020 ∙ by Qianyu Liu, et al. ∙ 0 ∙ share

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A Polynomial Neural network with Controllable Precision and Human-Readable Topology II: Accelerated Approach Based on Expanded Layer

How about converting Taylor series to a network to solve the black-box n...
06/04/2020 ∙ by Gang Liu, et al. ∙ 0 ∙ share

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AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
05/05/2020 ∙ by Huazhu Fu, et al. ∙ 6 ∙ share

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A Relation Spectrum Inheriting Taylor Series: Muscle Synergy and Coupling for Hand

There are two famous function decomposition methods in math: 1) Taylor S...
04/25/2020 ∙ by Gang Liu, et al. ∙ 0 ∙ share

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Muscle Synergy and Coupling for Hand

The knowledge of the intuitive link between muscle activity and the fing...
04/25/2020 ∙ by Gang Liu, et al. ∙ 0 ∙ share

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A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification

Although the success of artificial neural networks (ANNs), there is stil...
04/08/2020 ∙ by Gang Liu, et al. ∙ 0 ∙ share

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Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

This research proposes a Ground Penetrating Radar (GPR) data processing ...
03/29/2020 ∙ by Senlin Yang, et al. ∙ 7 ∙ share

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G-VAE: A Continuously Variable Rate Deep Image Compression Framework

Rate adaption of deep image compression in a single model will become on...
03/04/2020 ∙ by Ze Cui, et al. ∙ 0 ∙ share

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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing

Deep Reinforcement Learning (RL) is proven powerful for decision making ...
02/12/2020 ∙ by Ge Liu, et al. ∙ 11 ∙ share

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Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network

The Hyperspectral image (HSI) classification is a standard remote sensin...
02/07/2020 ∙ by Divinah Nyasaka, et al. ∙ 5 ∙ share

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Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor

Tactile sensors can provide detailed contact in-formation that can facil...
12/02/2019 ∙ by Chen Lu, et al. ∙ 0 ∙ share

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Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design

In recent years, the CNNs have achieved great successes in the image pro...
11/07/2019 ∙ by Xingyao Zhang, et al. ∙ 0 ∙ share

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RecSim: A Configurable Simulation Platform for Recommender Systems

We propose RecSim, a configurable platform for authoring simulation envi...
09/11/2019 ∙ by Eugene Ie, et al. ∙ 7 ∙ share

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Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation

Image paragraph generation is the task of producing a coherent story (us...
08/01/2019 ∙ by Jing Wang, et al. ∙ 1 ∙ share

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Structure fusion based on graph convolutional networks for semi-supervised classification

Suffering from the multi-view data diversity and complexity for semi-sup...
07/02/2019 ∙ by Guangfeng Lin, et al. ∙ 0 ∙ share

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Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology

Most practical recommender systems focus on estimating immediate user en...
05/29/2019 ∙ by Eugene Ie, et al. ∙ 0 ∙ share

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Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features

Learning on point cloud is eagerly in demand because the point cloud is ...
04/22/2019 ∙ by Kuangen Zhang, et al. ∙ 0 ∙ share

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An Open Source Modeling Framework for Interdependent Energy-Transportation- Communication Infrastructure in Smart and Connected Communities

Infrastructure in future smart and connected communities is envisioned a...
04/07/2019 ∙ by Xing Lu, et al. ∙ 0 ∙ share

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Directional PointNet: 3D Environmental Classification for Wearable Robotics

Environmental information can provide reliable prior information of huma...
03/16/2019 ∙ by Kuangen Zhang, et al. ∙ 0 ∙ share

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Detecting causality in multivariate time series via non-uniform embedding

Causal analysis based on non-uniform embedding schemes is an important w...
03/14/2019 ∙ by Ziyu Jia, et al. ∙ 0 ∙ share

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An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails

High-speed rail (HSR) systems potentially provide a more efficient way o...
12/12/2018 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features

To predict lung nodule malignancy with a high sensitivity and specificit...
09/07/2018 ∙ by Shulong Li, et al. ∙ 0 ∙ share

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Automatic multi-objective based feature selection for classification

Accurately classifying malignancy of lesions detected in a screening sca...
07/09/2018 ∙ by Zhiguo Zhou, et al. ∙ 0 ∙ share

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Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects

Motivated by the important archaeological application of exploring cultu...
11/07/2017 ∙ by Yuhang Lu, et al. ∙ 0 ∙ share

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Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion

Radiomics aims to extract and analyze large numbers of quantitative feat...
10/04/2017 ∙ by Zhiguo Zhou, et al. ∙ 0 ∙ share

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Subspace Approximation for Approximate Nearest Neighbor Search in NLP

Most natural language processing tasks can be formulated as the approxim...
08/25/2017 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Online Feature Selection with Group Structure Analysis

Online selection of dynamic features has attracted intensive interest in...
08/21/2016 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Visual Processing by a Unified Schatten-p Norm and ℓ_q Norm Regularized Principal Component Pursuit

In this paper, we propose a non-convex formulation to recover the authen...
08/20/2016 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Sparse Coding and Counting for Robust Visual Tracking

In this paper, we propose a novel sparse coding and counting method unde...
05/28/2016 ∙ by Risheng Liu, et al. ∙ 0 ∙ share

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Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data

The way people look in terms of facial attributes (ethnicity, hair color...
04/21/2016 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion

Social trust prediction addresses the significant problem of exploring i...
04/24/2015 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Object Proposal with Kernelized Partial Ranking

Object proposals are an ensemble of bounding boxes with high potential t...
02/05/2015 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey

Statistical image reconstruction (SIR) methods have shown potential to s...
12/04/2014 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Robust Face Recognition via Adaptive Sparse Representation

Sparse Representation (or coding) based Classification (SRC) has gained ...
04/18/2014 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Fast Neighborhood Graph Search using Cartesian Concatenation

In this paper, we propose a new data structure for approximate nearest n...
12/11/2013 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Fast Approximate K-Means via Cluster Closures

K-means, a simple and effective clustering algorithm, is one of the most...
12/11/2013 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods

We present five methods to the problem of network anomaly detection. The...
09/19/2013 ∙ by Jing Wang, et al. ∙ 0 ∙ share

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Jing Wang

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