b'Ying Wang'

R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

AIoT processors fabricated with newer technology nodes suffer rising sof...
07/07/2021 ∙ by Dawen Xu, et al. ∙ 0 ∙ share

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Energy-Efficient Accelerator Design for Deformable Convolution Networks

Deformable convolution networks (DCNs) proposed to address the image rec...
07/06/2021 ∙ by Dawen Xu, et al. ∙ 0 ∙ share

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HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition

Previous methods for skeleton-based gesture recognition mostly arrange t...
06/25/2021 ∙ by Jianbo Liu, et al. ∙ 0 ∙ share

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Runtime Permission Issues in Android Apps: Taxonomy, Practices, and Ways Forward

Android introduces a new permission model that allows apps to request pe...
06/24/2021 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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Accurate and efficient hydrodynamic analysis of structures with sharp edges by the Extended Finite Element Method (XFEM): 2D studies

Achieving accurate numerical results of hydrodynamic loads based on the ...
06/16/2021 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning

Hardware faults on the regular 2-D computing array of a typical deep lea...
06/09/2021 ∙ by Dawen Xu, et al. ∙ 0 ∙ share

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InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

We present a novel boundary-aware loss term for semantic segmentation us...
04/06/2021 ∙ by Shubhankar Borse, et al. ∙ 8 ∙ share

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Hero: On the Chaos When PATH Meets Modules

Ever since its first release in 2009, the Go programming language (Golan...
02/24/2021 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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SWA Object Detection

Do you want to improve 1.0 AP for your object detector without any infer...
12/23/2020 ∙ by Haoyang Zhang, et al. ∙ 13 ∙ share

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VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data

The motivation of our work is to present a new visualization-guided comp...
09/14/2020 ∙ by Guoli Yan, et al. ∙ 10 ∙ share

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VarifocalNet: An IoU-aware Dense Object Detector

Accurately ranking a huge number of candidate detections is a key to the...
08/31/2020 ∙ by Haoyang Zhang, et al. ∙ 18 ∙ share

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Automatic Speech Summarisation: A Scoping Review

Speech summarisation techniques take human speech as input and then outp...
08/27/2020 ∙ by Dana Rezazadegan, et al. ∙ 0 ∙ share

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Differentiable Joint Pruning and Quantization for Hardware Efficiency

We present a differentiable joint pruning and quantization (DJPQ) scheme...
07/20/2020 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet

The automatic and objective medical diagnostic model can be valuable to ...
06/29/2020 ∙ by Chuang Zhu, et al. ∙ 0 ∙ share

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Will Dependency Conflicts Affect My Program's Semantics?

Java projects are often built on top of various third-party libraries. I...
06/13/2020 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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Bayesian Bits: Unifying Quantization and Pruning

We introduce Bayesian Bits, a practical method for joint mixed precision...
05/14/2020 ∙ by Mart van Baalen, et al. ∙ 4 ∙ share

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Combining GHOST and Casper

We present "Gasper," a proof-of-stake-based consensus protocol, which is...
03/06/2020 ∙ by Vitalik Buterin, et al. ∙ 0 ∙ share

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Interactive, Effort-Aware Library Version Harmonization

As a mixed result of intensive dependency on third-party libraries, flex...
02/25/2020 ∙ by Kaifeng Huang, et al. ∙ 0 ∙ share

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An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects

Third-party libraries are a central building block to develop software s...
02/25/2020 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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LiDAR Iris for Loop-Closure Detection

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR...
12/09/2019 ∙ by Ying Wang, et al. ∙ 15 ∙ share

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Breast Anatomy Enriched Tumor Saliency Estimation

Breast cancer investigation is of great significance, and developing tum...
10/23/2019 ∙ by Fei Xu, et al. ∙ 0 ∙ share

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Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants

Accurate segmentation of punctate white matter lesion (PWML) in infantil...
06/24/2019 ∙ by Yalong Liu, et al. ∙ 15 ∙ share

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Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling

Tumor saliency estimation aims to localize tumors by modeling the visual...
06/18/2019 ∙ by Fei Xu, et al. ∙ 1 ∙ share

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Neural Response Generation with Meta-Words

We present open domain response generation with meta-words. A meta-word ...
06/14/2019 ∙ by Can Xu, et al. ∙ 0 ∙ share

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Inpatient2Vec: Medical Representation Learning for Inpatients

Representation learning (RL) plays an important role in extracting prope...
04/18/2019 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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Modified integral imaging reconstruction and encryption using an improved SR reconstruction algorithm

We propose a monospectral image encryption method in which the multispec...
09/11/2018 ∙ by Xiaowei Li, et al. ∙ 0 ∙ share

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A Hybrid Framework for Tumor Saliency Estimation

Automatic tumor segmentation of breast ultrasound (BUS) image is quite c...
06/27/2018 ∙ by Fei Xu, et al. ∙ 0 ∙ share

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Delay Analysis of Random Scheduling and Round Robin in Small Cell Networks

We analyze the delay performance of small cell networks operating under ...
02/03/2018 ∙ by Howard H. Yang, et al. ∙ 0 ∙ share

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A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)

Breast ultrasound (BUS) image segmentation is challenging and critical f...
01/09/2018 ∙ by Min Xian, et al. ∙ 0 ∙ share

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An Adaptive Gas Cost Mechanism for Ethereum to Defend Against Under-Priced DoS Attacks

The gas mechanism in Ethereum charges the execution of every operation t...
12/18/2017 ∙ by Ting Chen, et al. ∙ 1 ∙ share

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Review. Machine learning techniques for traffic sign detection

An automatic road sign detection system localizes road signs from within...
12/12/2017 ∙ by Rinat Mukhometzianov, et al. ∙ 0 ∙ share

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Restricting Greed in Training of Generative Adversarial Network

Generative adversarial network (GAN) has gotten wide re-search interest ...
11/28/2017 ∙ by Haoxuan You, et al. ∙ 0 ∙ share

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10,000+ Times Accelerated Robust Subset Selection (ARSS)

Subset selection from massive data with noised information is increasing...
09/12/2014 ∙ by Feiyun Zhu, et al. ∙ 0 ∙ share

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Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity

Hyperspectral unmixing (HU) plays a fundamental role in a wide range of ...
09/02/2014 ∙ by Feiyun Zhu, et al. ∙ 0 ∙ share

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Structured Sparse Method for Hyperspectral Unmixing

Hyperspectral Unmixing (HU) has received increasing attention in the pas...
03/19/2014 ∙ by Feiyun Zhu, et al. ∙ 0 ∙ share

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Robust Hyperspectral Unmixing with Correntropy based Metric

Hyperspectral unmixing is one of the crucial steps for many hyperspectra...
05/31/2013 ∙ by Ying Wang, et al. ∙ 0 ∙ share

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Ying Wang

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