b'Yi Wang'

A Comprehensive Review of Deep Learning-based Single Image Super-resolution

Image super-resolution (SR) is one of the vital image processing methods...
02/18/2021 ∙ by Syed Muhammad Arsalan Bashir, et al. ∙ 39 ∙ share

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SEGSys: A mapping system for segmentation analysis in energy

Customer segmentation analysis can give valuable insights into the energ...
12/11/2020 ∙ by Xiufeng Liu, et al. ∙ 0 ∙ share

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Rethinking and Designing a High-performing Automatic License Plate Recognition Approach

In this paper, we propose a real-time and accurate automatic license pla...
11/30/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Tongji University Undergraduate Team for the VoxCeleb Speaker Recognition Challenge2020

In this report, we discribe the submission of Tongji University undergra...
10/20/2020 ∙ by Shufan Shen, et al. ∙ 0 ∙ share

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Ensembling Low Precision Models for Binary Biomedical Image Segmentation

Segmentation of anatomical regions of interest such as vessels or small ...
10/16/2020 ∙ by Tianyu Ma, et al. ∙ 9 ∙ share

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Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI

Patient motion during the magnetic resonance imaging (MRI) acquisition p...
10/12/2020 ∙ by Tejas Sudharshan Mathai, et al. ∙ 0 ∙ share

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Geometric Loss for Deep Multiple Sclerosis lesion Segmentation

Multiple sclerosis (MS) lesions occupy a small fraction of the brain vol...
09/29/2020 ∙ by Hang Zhang, et al. ∙ 3 ∙ share

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Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation

Recently, 3D medical image reconstruction (MIR) and segmentation (MIS) b...
09/13/2020 ∙ by Hang Zhang, et al. ∙ 13 ∙ share

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Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network

Automated breast ultrasound (ABUS) is a new and promising imaging modali...
07/31/2020 ∙ by Junxiong Yu, et al. ∙ 0 ∙ share

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Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI

The previously established LOUPE (Learning-based Optimization of the Und...
07/28/2020 ∙ by Jinwei Zhang, et al. ∙ 9 ∙ share

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A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

In this paper, we propose a novel self-training approach which enables a...
07/25/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Cache-enabling UAV Communications: Network Deployment and Resource Allocation

In this article, we investigate the content distribution in the hotspot ...
07/22/2020 ∙ by Tiankui Zhang, et al. ∙ 0 ∙ share

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Can 3D Adversarial Logos Cloak Humans?

With the trend of adversarial attacks, researchers attempt to fool train...
06/25/2020 ∙ by Tianlong Chen, et al. ∙ 5 ∙ share

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Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes

Background and Objective: Biometric measurements of fetal head are impor...
04/28/2020 ∙ by Xin Yang, et al. ∙ 5 ∙ share

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When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks

Various architectures (such as GoogLeNets, ResNets, and DenseNets) have ...
04/19/2020 ∙ by Zhiyu Zhu, et al. ∙ 0 ∙ share

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Quantifying Low-Battery Anxiety of Mobile Users and Its Impacts on Video Watching Behavior

People nowadays are increasingly dependent on mobile phones for daily co...
04/16/2020 ∙ by Guoming Tang, et al. ∙ 0 ∙ share

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Attentive Normalization for Conditional Image Generation

Traditional convolution-based generative adversarial networks synthesize...
04/08/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs

Ultrasound (US) is widely accepted in clinic for anatomical structure in...
04/01/2020 ∙ by Jiamin Liang, et al. ∙ 0 ∙ share

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VCNet: A Robust Approach to Blind Image Inpainting

Blind inpainting is a task to automatically complete visual contents wit...
03/15/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation

Brain lesion volume measured on T2 weighted MRI images is a clinically i...
02/27/2020 ∙ by Hang Zhang, et al. ∙ 0 ∙ share

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Privacy-Preserving Distributed Clustering for Electrical Load Profiling

Electrical load profiling supports retailers and distribution network op...
02/26/2020 ∙ by Mengshuo Jia, et al. ∙ 0 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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A3: An Automatic Topology-Aware Malfunction Detection and Fixation System in Data Center Networks

Link failures and cable miswirings are not uncommon in building data cen...
01/07/2020 ∙ by Che Zhang, et al. ∙ 0 ∙ share

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Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks

This paper investigates a multiple unmanned aerial vehicles (UAVs) enabl...
12/04/2019 ∙ by Meng Hua, et al. ∙ 0 ∙ share

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FetusMap: Fetal Pose Estimation in 3D Ultrasound

The 3D ultrasound (US) entrance inspires a multitude of automated prenat...
10/11/2019 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Convolutional Neural Networks with Dynamic Regularization

Regularization is commonly used in machine learning for alleviating over...
09/26/2019 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Scalable Traffic Engineering for Higher Throughput in Heavily-loaded Software Defined Networks

Existing traffic engineering (TE) solutions performs well for software d...
09/20/2019 ∙ by Che Zhang, et al. ∙ 0 ∙ share

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Unveiling Elite Developers' Activities in Open Source Projects

Open-source developers, particularly the elite developers, maintain a di...
08/22/2019 ∙ by Zhendong Wang, et al. ∙ 0 ∙ share

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SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix

We present a method called SketchyCoreSVD to compute the near-optimal ra...
07/31/2019 ∙ by Chandrajit Bajaj, et al. ∙ 0 ∙ share

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Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language

To be responsive to dynamically changing real-world environments, an int...
07/31/2019 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
07/03/2019 ∙ by Yi Wang, et al. ∙ 3 ∙ share

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Fully Decoupled Neural Network Learning Using Delayed Gradients

Using the back-propagation (BP) to train neural networks requires a sequ...
06/21/2019 ∙ by Huiping Zhuang, et al. ∙ 2 ∙ share

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Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+

We extend probabilistic action language pBC+ with the notion of utility ...
04/01/2019 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation

Segmenting left atrium in MR volume holds great potentials in promoting ...
12/14/2018 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Understanding and Comparing Scalable Gaussian Process Regression for Big Data

As a non-parametric Bayesian model which produces informative predictive...
11/03/2018 ∙ by Haitao Liu, et al. ∙ 0 ∙ share

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Image Inpainting via Generative Multi-column Convolutional Neural Networks

In this paper, we propose a generative multi-column network for image in...
10/20/2018 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Weight Learning in a Probabilistic Extension of Answer Set Programs

LPMLN is a probabilistic extension of answer set programs with the weigh...
08/14/2018 ∙ by Joohyung Lee, et al. ∙ 0 ∙ share

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The conditional permutation test

We propose a general new method, the conditional permutation test, for t...
07/14/2018 ∙ by Thomas B. Berrett, et al. ∙ 0 ∙ share

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Energy Optimization for Cellular-Connected Multi-UAV Mobile Edge Computing Systems with Multi-Access Schemes

In this paper, a cellular-connected unmanned aerial vehicles (UAV) mobil...
06/29/2018 ∙ by Meng Hua, et al. ∙ 0 ∙ share

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Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression

In order to scale standard Gaussian process (GP) regression to large-sca...
06/03/2018 ∙ by Haitao Liu, et al. ∙ 0 ∙ share

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A Probabilistic Extension of Action Language BC+

We present a probabilistic extension of action language BC+. Just like B...
05/02/2018 ∙ by Joohyung Lee, et al. ∙ 0 ∙ share

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Combining Probabilistic Load Forecasts

Probabilistic load forecasts provide comprehensive information about fut...
03/18/2018 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

The widespread popularity of smart meters enables an immense amount of f...
02/09/2018 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Scale-recurrent Network for Deep Image Deblurring

In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually ...
02/06/2018 ∙ by Xin Tao, et al. ∙ 0 ∙ share

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Enabling Work-conserving Bandwidth Guarantees for Multi-tenant Datacenters via Dynamic Tenant-Queue Binding

Today's cloud networks are shared among many tenants. Bandwidth guarante...
12/19/2017 ∙ by Zhuotao Liu, et al. ∙ 0 ∙ share

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Enabling Work-conserving Bandwidth Guarantees for Multi-tenant Datacenters via Dynamic Tenant- eue Binding

Today's cloud networks are shared among many tenants. Bandwidth guarante...
12/19/2017 ∙ by Zhuotao Liu, et al. ∙ 0 ∙ share

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Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification

Similarity search is essential to many important applications and often ...
11/05/2017 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Effective Blog Pages Extractor for Better UGC Accessing

Blog is becoming an increasingly popular media for information publishin...
08/26/2017 ∙ by Kui Zhao, et al. ∙ 0 ∙ share

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Computing LPMLN Using ASP and MLN Solvers

LPMLN is a recent addition to probabilistic logic programming languages....
07/19/2017 ∙ by Joohyung Lee, et al. ∙ 0 ∙ share

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Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images

Boundary incompleteness raises great challenges to automatic prostate se...
12/06/2016 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Yi Wang

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