b'Ye Zhang'

research

∙ 09/19/2023

Multi-level feature fusion network combining attention mechanisms for polyp segmentation

Clinically, automated polyp segmentation techniques have the potential t...

0 Junzhuo Liu, et al. ∙

research

∙ 08/28/2023

Graph-based Asynchronous Event Processing for Rapid Object Recognition

Different from traditional video cameras, event cameras capture asynchro...

0 Yijin Li, et al. ∙

research

∙ 08/15/2023

MSAT: Matrix stability analysis tool for shock-capturing schemes

The simulation of supersonic or hypersonic flows often suffers from nume...

0 Weijie Ren, et al. ∙

research

∙ 08/07/2023

Numerical stability analysis of shock-capturing methods for strong shocks II: high-order finite-volume schemes

The shock instability problem commonly arises in flow simulations involv...

0 Weijie Ren, et al. ∙

research

∙ 07/14/2023

Are words equally surprising in audio and audio-visual comprehension?

We report a controlled study investigating the effect of visual informat...

0 Pranava Madhyastha, et al. ∙

research

∙ 05/05/2023

Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes

Modern shock-capturing schemes often suffer from numerical shock anomali...

0 Weijie Ren, et al. ∙

research

∙ 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...

0 Jiacheng Zhang, et al. ∙

research

∙ 11/14/2022

Stochastic asymptotical regularization for nonlinear ill-posed problems

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

0 Haie Long, et al. ∙

research

∙ 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...

0 Dmitrii Chaikovskii, et al. ∙

research

∙ 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...

0 Dmitrii Chaikovskii, et al. ∙

research

∙ 07/13/2022

N-Grammer: Augmenting Transformers with latent n-grams

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

7 Aurko Roy, et al. ∙

research

∙ 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 ...

0 Rongfang Gong, et al. ∙

research

∙ 01/24/2022

Stochastic asymptotical regularization for linear inverse problems

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

0 Ye Zhang, et al. ∙

research

∙ 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...

0 Jiaji Su, et al. ∙

research

∙ 08/31/2021

Effective Sequence-to-Sequence Dialogue State Tracking

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

3 Jeffrey Zhao, et al. ∙

research

∙ 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...

0 Sanket Kanjalkar, et al. ∙

research

∙ 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...

0 Dmitrii Chaikovskii, et al. ∙

research

∙ 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...

0 Jianxun Yang, et al. ∙

research

∙ 02/27/2021

Improving Longer-range Dialogue State Tracking

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

9 Ye Zhang, et al. ∙

research

∙ 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...

0 Wenjia Xie, et al. ∙

research

∙ 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 ...

0 Ye Zhang, et al. ∙

research

∙ 05/31/2019

Do Human Rationales Improve Machine Explanations?

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

0 Julia Strout, et al. ∙

research

∙ 05/22/2019

Solving Random Systems of Quadratic Equations with Tanh Wirtinger Flow

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

0 Zhenwei Luo, et al. ∙

research

∙ 07/23/2018

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

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

0 Ruijie Wang, et al. ∙

research

∙ 04/11/2018

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

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

0 Ye Zhang, et al. ∙

research

∙ 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...

0 Ye Zhang, et al. ∙

research

∙ 06/14/2016

Active Discriminative Text Representation Learning

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

0 Ye Zhang, et al. ∙

research

∙ 05/14/2016

Rationale-Augmented Convolutional Neural Networks for Text Classification

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

0 Ye Zhang, et al. ∙

research

∙ 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...

0 Ye Zhang, et al. ∙

research

∙ 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...

0 Ye Zhang, et al. ∙

Ye Zhang

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