Ye Zhang | DeepAI

DeepAI

Featured Co-authors

Weinan Zhang
128 publications
Cheng Li
110 publications
Yuan Cao
73 publications
Yonghui Wu
68 publications
Min Wang
45 publications
Byron C. Wallace
43 publications
Zhifeng Chen
40 publications
Chen Xu
34 publications
Radu Soricut
34 publications
Raymond J. Mooney
32 publications
Matthew Lease
31 publications

∙ 11/24/2022

A new Speech Feature Fusion method with cross gate parallel CNN for Speaker Recognition

In this paper, a new speech feature fusion method is proposed for speake...

Jiacheng Zhang, et al. ∙

∙ 11/14/2022

Stochastic asymptotical regularization for nonlinear ill-posed problems

In this paper, we establish an initial theory regarding the stochastic a...

Haie Long, et al. ∙

∙ 10/13/2022

Asymptotic expansion regularization for inverse source problems in two-dimensional singularly perturbed nonlinear parabolic PDEs

In this paper, we develop an asymptotic expansion-regularization (AER) m...

Dmitrii Chaikovskii, et al. ∙

∙ 10/11/2022

Solving forward and inverse problems in a non-linear 3D PDE via an asymptotic expansion based approach

This paper is concerned with the usage of the asymptotic expansion metho...

Dmitrii Chaikovskii, et al. ∙

∙ 07/13/2022

N-Grammer: Augmenting Transformers with latent n-grams

Transformer models have recently emerged as one of the foundational mode...

Aurko Roy, et al. ∙

∙ 04/07/2022

A CCBM-based generalized GKB iterative regularizing algorithm for inverse Cauchy problems

This paper examines inverse Cauchy problems that are governed by a kind ...

Rongfang Gong, et al. ∙

∙ 01/24/2022

Stochastic asymptotical regularization for linear inverse problems

We introduce Stochastic Asymptotical Regularization (SAR) methods for th...

Ye Zhang, et al. ∙

∙ 01/04/2022

A Statistical Approach to Estimating Adsorption-Isotherm Parameters in Gradient-Elution Preparative Liquid Chromatography

Determining the adsorption isotherms is an issue of significant importan...

Jiaji Su, et al. ∙

∙ 08/31/2021

Effective Sequence-to-Sequence Dialogue State Tracking

Sequence-to-sequence models have been applied to a wide variety of NLP t...

Jeffrey Zhao, et al. ∙

∙ 07/09/2021

Publicly Auditable MPC-as-a-Service with succinct verification and universal setup

In recent years, multiparty computation as a service (MPCaaS) has gained...

Sanket Kanjalkar, et al. ∙

∙ 06/29/2021

Convergence analysis for forward and inverse problems in singularly perturbed time-dependent reaction-advection-diffusion equations

In this paper, by employing the asymptotic method, we prove the existenc...

Dmitrii Chaikovskii, et al. ∙

∙ 06/26/2021

A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver

In this work, by introducing the seismic impedance tensor we propose a n...

Jianxun Yang, et al. ∙

∙ 02/27/2021

Improving Longer-range Dialogue State Tracking

Dialogue state tracking (DST) is a pivotal component in task-oriented di...

Ye Zhang, et al. ∙

∙ 02/20/2021

A unified construction of all-speed HLL-type schemes for hypersonic heating computations

In this paper, a unified framework to develop all-speed HLL-type schemes...

Wenjia Xie, et al. ∙

∙ 02/11/2020

Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems

Many inverse problems are concerned with the estimation of non-negative ...

Ye Zhang, et al. ∙

∙ 05/31/2019

Do Human Rationales Improve Machine Explanations?

Work on "learning with rationales" shows that humans providing explanati...

Julia Strout, et al. ∙

∙ 05/22/2019

Solving Random Systems of Quadratic Equations with Tanh Wirtinger Flow

Solving quadratic systems of equations in n variables and m measurements...

Zhenwei Luo, et al. ∙

∙ 07/23/2018

AceKG: A Large-scale Knowledge Graph for Academic Data Mining

Most existing knowledge graphs (KGs) in academic domains suffer from pro...

Ruijie Wang, et al. ∙

∙ 04/11/2018

SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation

Supervised training of abstractive language generation models results in...

Ye Zhang, et al. ∙

∙ 02/08/2017

Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization

A fundamental advantage of neural models for NLP is their ability to lea...

Ye Zhang, et al. ∙

∙ 06/14/2016

Active Discriminative Text Representation Learning

We propose a new active learning (AL) method for text classification wit...

Ye Zhang, et al. ∙

∙ 05/14/2016

Rationale-Augmented Convolutional Neural Networks for Text Classification

We present a new Convolutional Neural Network (CNN) model for text class...

Ye Zhang, et al. ∙

∙ 03/03/2016

MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

We introduce a novel, simple convolution neural network (CNN) architectu...

Ye Zhang, et al. ∙

∙ 10/13/2015

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Convolutional Neural Networks (CNNs) have recently achieved remarkably s...

Ye Zhang, et al. ∙