b'Chen Liu'

research

∙ 05/09/2023

A positivity-preserving implicit-explicit scheme with high order polynomial basis for compressible Navier-Stokes equations

In this paper, we are interested in constructing a scheme solving compre...

0 Chen Liu, et al. ∙

research

∙ 04/10/2023

Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM

In the past few years, more and more AI applications have been applied t...

0 Chen Liu, et al. ∙

research

∙ 04/06/2023

RFAConv: Innovating Spatital Attention and Standard Convolutional Operation

Spatial attention has been demonstrated to enable convolutional neural n...

5 Xin Zhang, et al. ∙

research

∙ 02/16/2023

Realized recurrent conditional heteroskedasticity model for volatility modelling

We propose a new approach to volatility modelling by combining deep lear...

1 Chen Liu, et al. ∙

research

∙ 01/10/2023

Diffusion Models For Stronger Face Morphing Attacks

Face morphing attacks seek to deceive a Face Recognition (FR) system by ...

6 Zander Blasingame, et al. ∙

research

∙ 11/30/2022

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning

Positive-Unlabeled (PU) learning aims to learn a model with rare positiv...

0 Chengming Xu, et al. ∙

research

∙ 11/29/2022

PatchMix Augmentation to Identify Causal Features in Few-shot Learning

The task of Few-shot learning (FSL) aims to transfer the knowledge learn...

0 Chengming Xu, et al. ∙

research

∙ 11/02/2022

Behavior Prior Representation learning for Offline Reinforcement Learning

Offline reinforcement learning (RL) struggles in environments with rich ...

0 Hongyu Zang, et al. ∙

research

∙ 10/29/2022

Structure preserving schemes for Fokker-Planck equations of irreversible processes

In this paper, we introduce second order and fourth order space discreti...

0 Chen Liu, et al. ∙

research

∙ 10/12/2022

One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks

Current multimodal models, aimed at solving Vision and Language (V+L) ta...

36 Gregor Geigle, et al. ∙

research

∙ 10/11/2022

Convergence of a Decoupled Splitting Scheme for the Cahn-Hilliard-Navier-Stokes System

This paper is devoted to the analysis of an energy-stable discontinuous ...

0 Chen Liu, et al. ∙

research

∙ 10/07/2022

Learning to Learn and Sample BRDFs

We propose a method to accelerate the joint process of physically acquir...

12 Chen Liu, et al. ∙

research

∙ 07/15/2022

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples

Focal Loss has reached incredible popularity as it uses a simple techniq...

13 Chen Liu, et al. ∙

research

∙ 06/14/2022

Frequency Throttling Side-Channel Attack

Modern processors dynamically control their operating frequency to optim...

0 Chen Liu, et al. ∙

research

∙ 06/08/2022

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window

Since the pandemic of COVID-19, several deep learning methods were propo...

2 Qiuli Wang, et al. ∙

research

∙ 06/06/2022

Fast Adversarial Training with Adaptive Step Size

While adversarial training and its variants have shown to be the most ef...

5 Zhichao Huang, et al. ∙

research

∙ 03/29/2022

Neural Inertial Localization

This paper proposes the inertial localization problem, the task of estim...

0 Sachini Herath, et al. ∙

research

∙ 02/25/2022

Time-coded Spiking Fourier Transform in Neuromorphic Hardware

After several decades of continuously optimizing computing systems, the ...

4 Javier Lopez Randulfe, et al. ∙

research

∙ 02/15/2022

Delving Deeper into Cross-lingual Visual Question Answering

Visual question answering (VQA) is one of the crucial vision-and-languag...

1 Chen Liu, et al. ∙

research

∙ 02/03/2022

Robust Binary Models by Pruning Randomly-initialized Networks

We propose ways to obtain robust models against adversarial attacks from...

8 Chen Liu, et al. ∙

research

∙ 12/07/2021

Improved a priori error estimates for a discontinuous Galerkin pressure correction scheme for the Navier-Stokes equations

The pressure correction scheme is combined with interior penalty discont...

0 Rami Masri, et al. ∙

research

∙ 09/22/2021

A discontinuous Galerkin pressure correction scheme for the incompressible Navier-Stokes equations: stability and convergence

A discontinuous Galerkin pressure correction numerical method for solvin...

0 Rami Masri, et al. ∙

research

∙ 09/17/2021

Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification

Hierarchical Text Classification (HTC), which aims to predict text label...

5 Wei Huang, et al. ∙

research

∙ 06/23/2021

MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning

Detecting the newly emerging malware variants in real time is crucial fo...

21 Chen Liu, et al. ∙

research

∙ 06/22/2021

Fourier Transform Approximation as an Auxiliary Task for Image Classification

Image reconstruction is likely the most predominant auxiliary task for i...

2 Chen Liu, et al. ∙

research

∙ 04/10/2021

Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data

Current neuroimaging techniques provide paths to investigate the structu...

30 Nanyan Zhu, et al. ∙

research

∙ 03/25/2021

Learning Dynamic Alignment via Meta-filter for Few-shot Learning

Few-shot learning (FSL), which aims to recognise new classes by adapting...

1 Chengming Xu, et al. ∙

research

∙ 01/08/2021

Example-based Real-time Clothing Synthesis for Virtual Agents

We present a real-time cloth animation method for dressing virtual human...

0 Nannan Wu, et al. ∙

research

∙ 10/30/2020

A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows

In this paper, we present an efficient numerical algorithm for solving t...

0 Chen Liu, et al. ∙

research

∙ 10/04/2020

A discontinuous Galerkin method for a diffuse-interface model of immiscible two-phase flows with soluble surfactant

A numerical method using discontinuous polynomial approximations is form...

0 Deep Ray, et al. ∙

research

∙ 09/07/2020

Robust Spoken Language Understanding with RL-based Value Error Recovery

Spoken Language Understanding (SLU) aims to extract structured semantic ...

0 Chen Liu, et al. ∙

research

∙ 07/10/2020

Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision

Image dehazing without paired haze-free images is of immense importance,...

0 Chen Liu, et al. ∙

research

∙ 07/04/2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Over-parameterization is ubiquitous nowadays in training neural networks...

0 Yanwei Fu, et al. ∙

research

∙ 06/15/2020

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them

We analyze the influence of adversarial training on the loss landscape o...

0 Chen Liu, et al. ∙

research

∙ 06/08/2020

Graph Representation Learning Network via Adaptive Sampling

Graph Attention Network (GAT) and GraphSAGE are neural network architect...

0 Anderson de Andrade, et al. ∙

research

∙ 05/27/2020

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

One daunting problem for semantic parsing is the scarcity of annotation....

0 Ruisheng Cao, et al. ∙

research

∙ 05/24/2020

Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding

Spoken Language Understanding (SLU) converts hypotheses from automatic s...

0 Chen Liu, et al. ∙

research

∙ 03/26/2020

Instance Credibility Inference for Few-Shot Learning

Few-shot learning (FSL) aims to recognize new objects with extremely lim...

5 Yikai Wang, et al. ∙

research

∙ 01/15/2020

Substituting Gadolinium in Brain MRI Using DeepContrast

Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabol...

9 Haoran Sun, et al. ∙

research

∙ 01/15/2020

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

The ability to extrapolate gene expression dynamics in living single cel...

14 Nanyan Zhu, et al. ∙

research

∙ 12/10/2019

On Certifying Robust Models by Polyhedral Envelope

Certifying neural networks enables one to offer guarantees on a model's ...

0 Chen Liu, et al. ∙

research

∙ 10/25/2019

DENS: A Dataset for Multi-class Emotion Analysis

We introduce a new dataset for multi-class emotion analysis from long-fo...

0 Chen Liu, et al. ∙

research

∙ 10/25/2019

Exploring Multilingual Syntactic Sentence Representations

We study methods for learning sentence embeddings with syntactic structu...

0 Chen Liu, et al. ∙

research

∙ 08/19/2019

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path

This paper proposes a new approach for automated floorplan reconstructio...

0 Jiacheng Chen, et al. ∙

research

∙ 07/10/2019

Semantic Parsing with Dual Learning

Semantic parsing converts natural language queries into structured logic...

0 Ruisheng Cao, et al. ∙

research

∙ 06/17/2019

Using Discriminative Methods to Learn Fashion Compatibility Across Datasets

Determining whether a pair of garments are compatible with each other is...

3 Kedan Li, et al. ∙

research

∙ 05/23/2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence

Over-parameterization is ubiquitous nowadays in training neural networks...

15 Yanwei Fu, et al. ∙

research

∙ 03/15/2019

On Certifying Non-uniform Bound against Adversarial Attacks

This work studies the robustness certification problem of neural network...

8 Chen Liu, et al. ∙

research

∙ 02/12/2019

MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation

We propose a new approach for 3D instance segmentation based on sparse c...

0 Chen Liu, et al. ∙

research

∙ 01/27/2019

Secrecy Outage Analysis of Non-Orthogonal Spectrum Sharing for Heterogeneous Cellular Networks

In this paper, we investigate physical-layer security for a heterogeneou...

0 Yulong Zou, et al. ∙

Chen Liu

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