b'Hui Zhang'

research

∙ 06/19/2022

0/1 Deep Neural Networks via Block Coordinate Descent

The step function is one of the simplest and most natural activation fun...

Hui Zhang, et al. ∙

research

∙ 06/19/2022

A Unified Understanding of Deep NLP Models for Text Classification

The rapid development of deep natural language processing (NLP) models f...

Zhen Li, et al. ∙

research

∙ 06/19/2022

Enforcing Continuous Physical Symmetries in Deep Learning Network for Solving Partial Differential Equations

As a typical application of deep learning, physics-informed neural netwo...

Zhi-Yong Zhang, et al. ∙

research

∙ 06/07/2022

Neural Network Decoders for Permutation Codes Correcting Different Errors

Permutation codes were extensively studied in order to correct different...

Yeow Meng Chee, et al. ∙

research

∙ 05/20/2022

PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

PaddleSpeech is an open-source all-in-one speech toolkit. It aims at fac...

Hui Zhang, et al. ∙

research

∙ 05/18/2022

3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis

Potential radioactive hazards in full-dose positron emission tomography ...

Yang Zhou, et al. ∙

research

∙ 05/11/2022

Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation

Deep learning (DL) is gaining popularity as a parameter estimation metho...

Sean C. Epstein, et al. ∙

research

∙ 04/17/2022

On an interior-exterior nonoverlapping domain decomposition method for the Poisson–Boltzmann equation

A nonoverlapping domain decomposition method is studied for the lineariz...

Xuanyu Liu, et al. ∙

research

∙ 03/31/2022

Coverage hole detection in WSN with force-directed algorithm and transfer learning

Coverage hole detection is an important research problem in wireless sen...

Yue-Hui Lai, et al. ∙

research

∙ 03/27/2022

Thin-Plate Spline Motion Model for Image Animation

Image animation brings life to the static object in the source image acc...

Jian Zhao, et al. ∙

research

∙ 03/03/2022

A photonic chip-based machine learning approach for the prediction of molecular properties

Machine learning methods have revolutionized the discovery process of ne...

Jonathan Wei Zhong Lau, et al. ∙

research

∙ 12/29/2021

Adaptively Sketched Bregman Projection Methods for Linear Systems

The sketch-and-project, as a general archetypal algorithm for solving li...

Ziyang Yuan, et al. ∙

research

∙ 12/19/2021

D-HAN: Dynamic News Recommendation with Hierarchical Attention Network

News recommendation is an effective information dissemination solution i...

Qinghua Zhao, et al. ∙

research

∙ 12/16/2021

Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation

Video Panoptic Segmentation (VPS) aims at assigning a class label to eac...

Yi Zhou, et al. ∙

research

∙ 11/22/2021

Auto-Encoding Score Distribution Regression for Action Quality Assessment

Action quality assessment (AQA) from videos is a challenging vision task...

Boyu Zhang, et al. ∙

research

∙ 09/10/2021

Constructions of Binary Cross Z-Complementary Pairs With Large CZC Ratio

Cross Z-complementary pairs (CZCPs) are a special kind of Z-complementar...

Hui Zhang, et al. ∙

research

∙ 07/24/2021

New constructions of q-Ary 2-D Z-Complementary Array Pairs

This paper is devoted to sequences and focuses on designing new two-dime...

Hui Zhang, et al. ∙

research

∙ 04/10/2021

Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system

Surveillance cameras are widely applied for indoor occupancy measurement...

Ping Zhang, et al. ∙

research

∙ 03/30/2021

Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud

3D object grounding aims to locate the most relevant target object in a ...

Mingtao Feng, et al. ∙

research

∙ 03/15/2021

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution

Deep learning based methods, especially convolutional neural networks (C...

Wenbin Xie, et al. ∙

research

∙ 01/25/2021

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

In this work, we introduce two algorithmic frameworks, named Bregman ext...

Hui Zhang, et al. ∙

research

∙ 01/13/2021

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

The popularity of racket sports (e.g., tennis and table tennis) leads to...

Dazhen Deng, et al. ∙

research

∙ 01/13/2021

Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence

The randomized sparse Kaczmarz method was recently proposed to recover s...

Ziyang Yuan, et al. ∙

research

∙ 01/04/2021

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

Most multilayer least squares (LS)-based neural networks are structured ...

Wandong Zhang, et al. ∙

research

∙ 11/16/2020

Decoupling Representation and Classifier for Noisy Label Learning

Since convolutional neural networks (ConvNets) can easily memorize noisy...

Hui Zhang, et al. ∙

research

∙ 10/29/2020

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...

Xiang Hao, et al. ∙

research

∙ 09/05/2020

PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes

In soccer, passing is the most frequent interaction between players and ...

Xiao Xie, et al. ∙

research

∙ 08/04/2020

Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System

Recently, there has been increasing interest in transparency and interpr...

Xinzhi Wang, et al. ∙

research

∙ 07/28/2020

Emotion Correlation Mining Through Deep Learning Models on Natural Language Text

Emotion analysis has been attracting researchers' attention. Most previo...

Xinzhi Wang, et al. ∙

research

∙ 07/24/2020

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...

Xuelian Bao, et al. ∙

research

∙ 07/14/2020

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...

Hui Zhang, et al. ∙

research

∙ 06/28/2020

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...

Xiaoguang Li, et al. ∙

research

∙ 06/09/2020

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...

Xuelian Bao, et al. ∙

research

∙ 04/03/2020

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...

Lixiu Dong, et al. ∙

research

∙ 03/14/2020

Efficient Backbone Search for Scene Text Recognition

Scene text recognition (STR) is very challenging due to the diversity of...

Hui Zhang, et al. ∙

research

∙ 02/02/2020

Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks

In recent decades, neural network based methods have significantly impro...

Jingdong Li, et al. ∙

research

∙ 11/21/2019

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

Recently, end-to-end text spotting that aims to detect and recognize tex...

Hao Wang, et al. ∙

research

∙ 10/16/2019

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

Gaze estimation for ordinary smart phone, e.g. estimating where the user...

Tianchu Guo, et al. ∙

research

∙ 09/06/2019

Learning Alignment for Multimodal Emotion Recognition from Speech

Speech emotion recognition is a challenging problem because human convey...

Haiyang Xu, et al. ∙

research

∙ 08/10/2019

User independent Emotion Recognition with Residual Signal-Image Network

User independent emotion recognition with large scale physiological sign...

Guanghao Yin, et al. ∙

research

∙ 08/02/2019

DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...

Kun Han, et al. ∙

research

∙ 07/16/2019

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

The Long Short-Term Memory (LSTM) neural network based data association ...

Huajun Liu, et al. ∙

research

∙ 06/20/2019

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

Robustness against noise is critical for keyword spotting (KWS) in real-...

Yue Gu, et al. ∙

research

∙ 06/14/2019

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

The study of Armstrong codes is motivated by the problem of understandin...

Yeow Meng Chee, et al. ∙

research

∙ 02/24/2019

Training GANs with Centripetal Acceleration

Training generative adversarial networks (GANs) often suffers from cycli...

Wei Peng, et al. ∙

research

∙ 11/24/2018

Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models

This paper focuses on sentiment mining and sentiment correlation analysi...

Xinzhi Wang, et al. ∙

research

∙ 06/19/2018

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...

Marco Palombo, et al. ∙

research

∙ 01/08/2018

Grassmannian Codes with New Distance Measures for Network Coding

Subspace codes are known to be useful in error-correction for random net...

Tuvi Etzion, et al. ∙

research

∙ 08/28/2017

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...

Hao Li, et al. ∙

research

∙ 11/30/2016

Active Deep Learning for Classification of Hyperspectral Images

Active deep learning classification of hyperspectral images is considere...

Peng Liu, et al. ∙

Hui Zhang

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