b'Hui Zhang'

Extragradient and Extrapolation Methods with Generalized Bregman Distances for Saddle Point Problems

In this work, we introduce two algorithmic frameworks, named Bregman ext...
01/25/2021 ∙ by Hui Zhang, et al. ∙ 0 ∙ share

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EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos

The popularity of racket sports (e.g., tennis and table tennis) leads to...
01/13/2021 ∙ by Dazhen Deng, et al. ∙ 8 ∙ share

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Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence

The randomized sparse Kaczmarz method was recently proposed to recover s...
01/13/2021 ∙ by Ziyang Yuan, et al. ∙ 0 ∙ share

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Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis

Most multilayer least squares (LS)-based neural networks are structured ...
01/04/2021 ∙ by Wandong Zhang, et al. ∙ 0 ∙ share

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Decoupling Representation and Classifier for Noisy Label Learning

Since convolutional neural networks (ConvNets) can easily memorize noisy...
11/16/2020 ∙ by Hui Zhang, et al. ∙ 0 ∙ share

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UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition

Speech enhancement at extremely low signal-to-noise ratio (SNR) conditio...
10/29/2020 ∙ by Xiang Hao, et al. ∙ 0 ∙ share

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PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes

In soccer, passing is the most frequent interaction between players and ...
09/05/2020 ∙ by Xiao Xie, et al. ∙ 0 ∙ share

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Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System

Recently, there has been increasing interest in transparency and interpr...
08/04/2020 ∙ by Xinzhi Wang, et al. ∙ 61 ∙ share

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Emotion Correlation Mining Through Deep Learning Models on Natural Language Text

Emotion analysis has been attracting researchers' attention. Most previo...
07/28/2020 ∙ by Xinzhi Wang, et al. ∙ 0 ∙ share

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Numerical approximations and error analysis of the Cahn-Hilliard equation with reaction rate dependent dynamic boundary conditions

We consider numerical approximations and error analysis for the Cahn-Hil...
07/24/2020 ∙ by Xuelian Bao, et al. ∙ 0 ∙ share

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Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations

In 1986, Dixon and McKee developed a discrete fractional Grönwall inequa...
07/14/2020 ∙ by Hui Zhang, et al. ∙ 0 ∙ share

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A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image

Computed Tomography (CT) of the temporal bone has become an important me...
06/28/2020 ∙ by Xiaoguang Li, et al. ∙ 0 ∙ share

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Numerical Approximations and Error Analysis of the Cahn-Hilliard Equation with Dynamic Boundary Conditions

We consider the numerical approximations of the Cahn-Hilliard equation w...
06/09/2020 ∙ by Xuelian Bao, et al. ∙ 0 ∙ share

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A positivity-preserving second-order BDF scheme for the Cahn-Hilliard equation with variable interfacial parameters

We present and analyze a new second-order finite difference scheme for t...
04/03/2020 ∙ by Lixiu Dong, et al. ∙ 0 ∙ share

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Efficient Backbone Search for Scene Text Recognition

Scene text recognition (STR) is very challenging due to the diversity of...
03/14/2020 ∙ by Hui Zhang, et al. ∙ 0 ∙ share

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Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks

In recent decades, neural network based methods have significantly impro...
02/02/2020 ∙ by Jingdong Li, et al. ∙ 0 ∙ share

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All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting

Recently, end-to-end text spotting that aims to detect and recognize tex...
11/21/2019 ∙ by Hao Wang, et al. ∙ 6 ∙ share

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A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone

Gaze estimation for ordinary smart phone, e.g. estimating where the user...
10/16/2019 ∙ by Tianchu Guo, et al. ∙ 0 ∙ share

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Learning Alignment for Multimodal Emotion Recognition from Speech

Speech emotion recognition is a challenging problem because human convey...
09/06/2019 ∙ by Haiyang Xu, et al. ∙ 0 ∙ share

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User independent Emotion Recognition with Residual Signal-Image Network

User independent emotion recognition with large scale physiological sign...
08/10/2019 ∙ by Guanghao Yin, et al. ∙ 0 ∙ share

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DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...
08/02/2019 ∙ by Kun Han, et al. ∙ 0 ∙ share

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DeepDA: LSTM-based Deep Data Association Network for Multi-Targets Tracking in Clutter

The Long Short-Term Memory (LSTM) neural network based data association ...
07/16/2019 ∙ by Huajun Liu, et al. ∙ 0 ∙ share

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A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting

Robustness against noise is critical for keyword spotting (KWS) in real-...
06/20/2019 ∙ by Yue Gu, et al. ∙ 0 ∙ share

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Complexity of Dependencies in Bounded Domains, Armstrong Codes, and Generalizations

The study of Armstrong codes is motivated by the problem of understandin...
06/14/2019 ∙ by Yeow Meng Chee, et al. ∙ 0 ∙ share

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Training GANs with Centripetal Acceleration

Training generative adversarial networks (GANs) often suffers from cycli...
02/24/2019 ∙ by Wei Peng, et al. ∙ 0 ∙ share

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Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models

This paper focuses on sentiment mining and sentiment correlation analysi...
11/24/2018 ∙ by Xinzhi Wang, et al. ∙ 0 ∙ share

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A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal

In this work, we introduce a novel computational framework that we devel...
06/19/2018 ∙ by Marco Palombo, et al. ∙ 0 ∙ share

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Grassmannian Codes with New Distance Measures for Network Coding

Subspace codes are known to be useful in error-correction for random net...
01/08/2018 ∙ by Tuvi Etzion, et al. ∙ 0 ∙ share

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Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising

Both reverberation and additive noises degrade the speech quality and in...
08/28/2017 ∙ by Hao Li, et al. ∙ 0 ∙ share

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Active Deep Learning for Classification of Hyperspectral Images

Active deep learning classification of hyperspectral images is considere...
11/30/2016 ∙ by Peng Liu, et al. ∙ 0 ∙ share

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Feature Selection Based on Term Frequency and T-Test for Text Categorization

Much work has been done on feature selection. Existing methods are based...
05/03/2013 ∙ by Deqing Wang, et al. ∙ 0 ∙ share

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Inverse-Category-Frequency based supervised term weighting scheme for text categorization

Term weighting schemes often dominate the performance of many classifier...
12/13/2010 ∙ by Deqing Wang, et al. ∙ 0 ∙ share

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Hui Zhang

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