b'Chen Wang'

research

∙ 09/30/2019

Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger

Limited data access is a substantial barrier to data-driven networking r...

Zinan Lin, et al. ∙

research

∙ 09/27/2019

A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms

To solve the problem of inaccurate recognition of types of communication...

Ruisen Luo, et al. ∙

research

∙ 09/23/2019

RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments

Semantic segmentation of surgical instruments plays a crucial role in ro...

Zhen-Liang Ni, et al. ∙

research

∙ 09/14/2019

FfDL : A Flexible Multi-tenant Deep Learning Platform

Deep learning (DL) is becoming increasingly popular in several applicati...

K. R. Jayaram, et al. ∙

research

∙ 08/09/2019

Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification

Dynamic ensembling of classifiers is an effective approach in processing...

Chen Wang, et al. ∙

research

∙ 08/05/2019

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

The paper presents Imbalance-XGBoost, a Python package that combines the...

Chen Wang, et al. ∙

research

∙ 07/12/2019

Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers

In this paper, we build a speech privacy attack that exploits speech rev...

S Abhishek Anand, et al. ∙

research

∙ 07/10/2019

Multi-layer Attention Mechanism for Speech Keyword Recognition

As an important part of speech recognition technology, automatic speech ...

Ruisen Luo, et al. ∙

research

∙ 06/19/2019

Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition

Comprehensive quality-aware automated semantic web service composition i...

Chen Wang, et al. ∙

research

∙ 04/08/2019

Kervolutional Neural Networks

Convolutional neural networks (CNNs) have enabled the state-of-the-art p...

Chen Wang, et al. ∙

research

∙ 03/05/2019

The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques

Graph deep learning models, such as graph convolutional networks (GCN) a...

Huijun Wu, et al. ∙

research

∙ 02/20/2019

Touchdown on the Cloud: The impact of the Super Bowl on Cloud

The Super Bowl is the world's biggest televised sporting event. We exami...

Chen Wang, et al. ∙

research

∙ 02/18/2019

Evolutionary Multitasking for Semantic Web Service Composition

Web services are basic functions of a software system to support the con...

Chen Wang, et al. ∙

research

∙ 02/14/2019

WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection

Wind power, as an alternative to burning fossil fuels, is plentiful and ...

Binhang Yuan, et al. ∙

research

∙ 01/15/2019

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

A key technical challenge in performing 6D object pose estimation from R...

Chen Wang, et al. ∙

research

∙ 12/29/2018

Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition

The rigid registration of two 3D point sets is a fundamental problem in ...

Xuechen Li, et al. ∙

research

∙ 05/17/2018

Matching Consecutive Subpatterns Over Streaming Time Series

Pattern matching of streaming time series with lower latency under limit...

Rong Kang, et al. ∙

research

∙ 03/28/2018

Repeated out of Sample Fusion in the Estimation of Small Tail Probabilities

In pursuit of a small tail probability p, it is shown how to construct b...

Benjamin Kedem, et al. ∙

research

∙ 03/01/2018

Vector Quantization as Sparse Least Square Optimization

Vector quantization aims to form new vectors/matrices with shared values...

Chen Wang, et al. ∙

research

∙ 02/28/2018

Graph Optimization Approach to Localization with IMU and Ultra-Wideband Measurements

An ultra-wideband (UWB) aided localization system is presented. Existing...

Chen Wang, et al. ∙

research

∙ 02/25/2018

Robust Target-relative Localization with Ultra-Wideband Ranging and Communication

In this paper we propose a method to achieve relative positioning and tr...

Thien-Minh Nguyen, et al. ∙

research

∙ 02/20/2018

Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators

Robust velocity and position estimation is crucial for autonomous robot ...

Chen Wang, et al. ∙

research

∙ 01/09/2018

Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data

In biostatistics, propensity score is a common approach to analyze the i...

Chen Wang, et al. ∙

research

∙ 10/27/2017

Fine-grained Pattern Matching Over Streaming Time Series

Pattern matching of streaming time series with lower latency under limit...

Rong Kang, et al. ∙

research

∙ 10/16/2017

Non-Iterative Localization and Fast Mapping

This paper presents a non-iterative method for dense mapping using inert...

Chen Wang, et al. ∙

research

∙ 10/02/2017

KV-match: An Efficient Subsequence Matching Approach for Large Scale Time Series

Time series data have exploded due to the popularity of new applications...

Jiaye Wu, et al. ∙

research

∙ 09/12/2017

Kernel Cross-Correlator

Cross-correlator plays a significant role in many visual perception task...

Chen Wang, et al. ∙

research

∙ 09/12/2017

Interpreting Shared Deep Learning Models via Explicable Boundary Trees

Despite outperforming the human in many tasks, deep neural network model...

Huijun Wu, et al. ∙

research

∙ 08/08/2017

A discriminative view of MRF pre-processing algorithms

While Markov Random Fields (MRFs) are widely used in computer vision, th...

Chen Wang, et al. ∙

research

∙ 04/19/2016

Improving Raw Image Storage Efficiency by Exploiting Similarity

To improve the temporal and spatial storage efficiency, researchers have...

Binqi Zhang, et al. ∙

Chen Wang

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