Yu Wang

A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System

In this paper, a new deep reinforcement learning based augmented general...
12/26/2018 ∙ by Yu Wang, et al. ∙ 32 ∙ share

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Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data

The incidence of Acute Kidney Injury (AKI) commonly happens in the Inten...
05/27/2020 ∙ by Yu Wang, et al. ∙ 17 ∙ share

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FTT-NAS: Discovering Fault-Tolerant Neural Architecture

With the fast evolvement of embedded deep-learning computing systems, ap...
03/20/2020 ∙ by Xuefei Ning, et al. ∙ 10 ∙ share

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A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

Intent detection and slot filling are two main tasks for building a spok...
12/26/2018 ∙ by Yu Wang, et al. ∙ 8 ∙ share

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Differential Privacy for Sequential Algorithms

We study the differential privacy of sequential statistical inference an...
04/01/2020 ∙ by Yu Wang, et al. ∙ 7 ∙ share

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User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks

Semantic frame parsing is a crucial component in spoken language underst...
09/18/2018 ∙ by Yilin Shen, et al. ∙ 6 ∙ share

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A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

This work proposes a novel Graph-based neural ArchiTecture Encoding Sche...
04/04/2020 ∙ by Xuefei Ning, et al. ∙ 6 ∙ share

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A Complex KBQA System using Multiple Reasoning Paths

Multi-hop knowledge based question answering (KBQA) is a complex task fo...
05/22/2020 ∙ by Kechen Qin, et al. ∙ 6 ∙ share

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ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

The recent years have witnessed great advances for semantic segmentation...
06/24/2019 ∙ by Yu Wang, et al. ∙ 4 ∙ share

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Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud

FPGAs have shown great potential in providing low-latency and energy-eff...
03/26/2020 ∙ by Shulin Zeng, et al. ∙ 4 ∙ share

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Energy-Aware DNN Graph Optimization

Unlike existing work in deep neural network (DNN) graphs optimization fo...
05/12/2020 ∙ by Yu Wang, et al. ∙ 3 ∙ share

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Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks

A novel resampling framework is proposed to evaluate the robustness and ...
06/07/2019 ∙ by Xudong Sun, et al. ∙ 2 ∙ share

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DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Budgeted pruning is the problem of pruning under resource constraints. I...
04/05/2020 ∙ by Xuefei Ning, et al. ∙ 2 ∙ share

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A Debiased MDI Feature Importance Measure for Random Forests

Tree ensembles such as Random Forests have achieved impressive empirical...
06/26/2019 ∙ by Xiao Li, et al. ∙ 1 ∙ share

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The Sylvester Graphical Lasso (SyGlasso)

This paper introduces the Sylvester graphical lasso (SyGlasso) that capt...
02/01/2020 ∙ by Yu Wang, et al. ∙ 1 ∙ share

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Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning

Probabilistic Computation Tree Logic (PCTL) is frequently used to formal...
04/01/2020 ∙ by Yu Wang, et al. ∙ 1 ∙ share

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Fast Change Point Detection on Dynamic Social Networks

A number of real world problems in many domains (e.g. sociology, biology...
05/20/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

Sparsity helps reduce the computational complexity of deep neural networ...
05/24/2017 ∙ by Huizi Mao, et al. ∙ 0 ∙ share

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Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning

We study to what extend Chinese, Japanese and Korean faces can be classi...
10/06/2016 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Sparse K-Means with ℓ_∞/ℓ_0 Penalty for High-Dimensional Data Clustering

Sparse clustering, which aims to find a proper partition of an extremely...
03/31/2014 ∙ by Xiangyu Chang, et al. ∙ 0 ∙ share

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Future Word Contexts in Neural Network Language Models

Recently, bidirectional recurrent network language models (bi-RNNLMs) ha...
08/18/2017 ∙ by Xie Chen, et al. ∙ 0 ∙ share

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ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA

Long Short-Term Memory (LSTM) is widely used in speech recognition. In o...
12/01/2016 ∙ by Song Han, et al. ∙ 0 ∙ share

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Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems

Designing an e-commerce recommender system that serves hundreds of milli...
09/01/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Model-Based Speech Enhancement in the Modulation Domain

This paper presents algorithms for modulation-domain speech enhancement ...
07/09/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Large-scale distributed training requires significant communication band...
12/05/2017 ∙ by Yujun Lin, et al. ∙ 0 ∙ share

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LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions

We present LADDER, the first deep reinforcement learning agent that can ...
08/18/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State

Opioid related deaths are increasing dramatically in recent years, and o...
11/15/2017 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Determinantal Point Processes Stochastic Approximation for Combinatorial Optimization

We study the problem of optimal subset selection from a set of correlate...
09/01/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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PoTrojan: powerful neural-level trojan designs in deep learning models

With the popularity of deep learning (DL), artificial intelligence (AI) ...
02/08/2018 ∙ by Minhui Zou, et al. ∙ 0 ∙ share

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VoiceMask: Anonymize and Sanitize Voice Input on Mobile Devices

Voice input has been tremendously improving the user experience of mobil...
11/30/2017 ∙ by Jianwei Qian, et al. ∙ 0 ∙ share

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Steklov Geometry Processing: An Extrinsic Approach to Spectral Shape Analysis

We propose Steklov geometry processing, an extrinsic approach to spectra...
07/21/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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A Survey of FPGA Based Neural Network Accelerator

Recent researches on neural network have shown great advantage in comput...
12/24/2017 ∙ by Kaiyuan Guo, et al. ∙ 0 ∙ share

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A Counter-Forensic Method for CNN-Based Camera Model Identification

An increasing number of digital images are being shared and accessed thr...
05/06/2018 ∙ by David Güera, et al. ∙ 0 ∙ share

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A Deeply-Recursive Convolutional Network for Crowd Counting

The estimation of crowd count in images has a wide range of applications...
05/15/2018 ∙ by Xinghao Ding, et al. ∙ 0 ∙ share

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Automated Big Traffic Analytics for Cyber Security

Network traffic analytics technology is a cornerstone for cyber security...
04/24/2018 ∙ by Yuantian Miao, et al. ∙ 0 ∙ share

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Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription

State-of-the-art English automatic speech recognition systems typically ...
02/01/2018 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks

Recently, Deep Learning (DL), especially Convolutional Neural Network (C...
05/14/2018 ∙ by Wenshuo Li, et al. ∙ 0 ∙ share

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iTeleScope: Intelligent Video Telemetry and Classification in Real-Time using Software Defined Networking

Video continues to dominate network traffic, yet operators today have po...
04/26/2018 ∙ by Hassan Habibi Gharakheili, et al. ∙ 0 ∙ share

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Steklov Spectral Geometry for Extrinsic Shape Analysis

We propose using the Dirichlet-to-Neumann operator as an extrinsic alter...
07/21/2017 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Nonparametric Topic Modeling with Neural Inference

This work focuses on combining nonparametric topic models with Auto-Enco...
06/18/2018 ∙ by Xuefei Ning, et al. ∙ 0 ∙ share

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A Neural Transition-based Model for Nested Mention Recognition

It is common that entity mentions can contain other mentions recursively...
10/03/2018 ∙ by Bailin Wang, et al. ∙ 0 ∙ share

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Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering

Collaborative filtering (CF) recommendation algorithms are well-known fo...
12/05/2018 ∙ by Zhili Chen, et al. ∙ 0 ∙ share

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Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks

The standard approach to assess reliability of automatic speech transcri...
10/30/2018 ∙ by Anton Ragni, et al. ∙ 0 ∙ share

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Statistical Model Checking for Probabilistic Hyperproperties

In this paper, we propose the temporal logic HyperPCTL^* that extends PC...
02/11/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach

Currently, explosive increase of smartphones with powerful built-in sens...
12/08/2018 ∙ by Yufeng Zhan, et al. ∙ 0 ∙ share

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Unique Sharp Local Minimum in ℓ_1-minimization Complete Dictionary Learning

We study the problem of globally recovering a dictionary from a set of s...
02/22/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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A Comprehensive Survey of Interface Protocols for Software Defined Networks

Software Defined Networks has seen tremendous growth and deployment in d...
02/21/2019 ∙ by Zohaib Latif, et al. ∙ 0 ∙ share

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Heavy User Effect in A/B Testing: Identification and Estimation

On-line experimentation (also known as A/B testing) has become an integr...
02/06/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators

The convolutional neural network (CNN) has become a state-of-the-art met...
02/20/2019 ∙ by Yu Xing, et al. ∙ 0 ∙ share

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IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things

Internet of Things (IoT) and Network Softwarization are fast becoming co...
02/28/2019 ∙ by Iqbal Alam, et al. ∙ 0 ∙ share

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Yu Wang

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