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09/19/2023
Multi-level feature fusion network combining attention mechanisms for polyp segmentation
Clinically, automated polyp segmentation techniques have the potential t...
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08/28/2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Different from traditional video cameras, event cameras capture asynchro...
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08/15/2023
MSAT: Matrix stability analysis tool for shock-capturing schemes
The simulation of supersonic or hypersonic flows often suffers from nume...
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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...
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07/14/2023
Are words equally surprising in audio and audio-visual comprehension?
We report a controlled study investigating the effect of visual informat...
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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...
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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...
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11/14/2022
Stochastic asymptotical regularization for nonlinear ill-posed problems
In this paper, we establish an initial theory regarding the stochastic a...
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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...
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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...
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07/13/2022
N-Grammer: Augmenting Transformers with latent n-grams
Transformer models have recently emerged as one of the foundational mode...
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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 ...
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01/24/2022
Stochastic asymptotical regularization for linear inverse problems
We introduce Stochastic Asymptotical Regularization (SAR) methods for th...
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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...
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08/31/2021
Effective Sequence-to-Sequence Dialogue State Tracking
Sequence-to-sequence models have been applied to a wide variety of NLP t...
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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...
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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...
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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...
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02/27/2021
Improving Longer-range Dialogue State Tracking
Dialogue state tracking (DST) is a pivotal component in task-oriented di...
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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...
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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 ...
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05/31/2019
Do Human Rationales Improve Machine Explanations?
Work on "learning with rationales" shows that humans providing explanati...
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05/22/2019
Solving Random Systems of Quadratic Equations with Tanh Wirtinger Flow
Solving quadratic systems of equations in n variables and m measurements...
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07/23/2018
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Most existing knowledge graphs (KGs) in academic domains suffer from pro...
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04/11/2018
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Supervised training of abstractive language generation models results in...
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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...
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06/14/2016
Active Discriminative Text Representation Learning
We propose a new active learning (AL) method for text classification wit...
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05/14/2016
Rationale-Augmented Convolutional Neural Networks for Text Classification
We present a new Convolutional Neural Network (CNN) model for text class...
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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...
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10/13/2015