research
∙
05/04/2021
VersaGNN: a Versatile accelerator for Graph neural networks
Graph Neural Network (GNN) is a promising approach for analyzing graph-s...
share
research
∙
04/28/2021
Two-Grid Domain Decomposition Methods for the Coupled Stokes-Darcy System
In this paper, we propose two novel Robin-type domain decomposition meth...
research
∙
12/13/2020
Semantic Networks for Engineering Design: A Survey
There have been growing uses of semantic networks in the past decade, su...
research
∙
12/07/2020
Expandable Local and Parallel Two-Grid Finite Element Scheme for the Stokes Equations
In this paper, we present a novel local and parallel two-grid finite ele...
research
∙
11/18/2020
Vertical-Horizontal Structured Attention for Generating Music with Chords
In this paper, we propose a lightweight music-generating model based on ...
research
∙
09/17/2020
Structured Attention for Unsupervised Dialogue Structure Induction
Inducing a meaningful structural representation from one or a set of dia...
research
∙
05/07/2020
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan
With the rapidly worldwide spread of Coronavirus disease (COVID-19), it ...
research
∙
05/07/2020
Hypergraph Learning for Identification of COVID-19 with CT Imaging
The coronavirus disease, named COVID-19, has become the largest global p...
research
∙
05/07/2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Chest computed tomography (CT) becomes an effective tool to assist the d...
research
∙
05/06/2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread...
research
∙
05/06/2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
The coronavirus disease (COVID-19) is rapidly spreading all over the wor...
research
∙
04/20/2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Learning from positive and unlabeled data (PU learning) is prevalent in ...
research
∙
04/06/2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
research
∙
03/26/2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Background: Chest computed tomography (CT) is recognized as an important...
research
∙
03/22/2020
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification
The worldwide spread of coronavirus disease (COVID-19) has become a thre...
research
∙
03/02/2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
High-resolution (HR) magnetic resonance imaging (MRI) provides detailed ...
research
∙
01/24/2020
Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem
Randomized search heuristics such as evolutionary algorithms are frequen...
research
∙
10/18/2019
Science and Technology Advance through Surprise
Breakthrough discoveries and inventions involve unexpected combinations ...
research
∙
09/14/2019
Community Detection for Hypergraph Networks via Regularized Tensor Power Iteration
To date, social network analysis has been largely focused on pairwise in...
research
∙
07/25/2019
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing
As a type of prominent studies in deep learning, generative models have ...
research
∙
07/08/2019
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation
Understanding users' context is essential for successful recommendations...
research
∙
12/18/2018
Explanatory Graphs for CNNs
This paper introduces a graphical model, namely an explanatory graph, wh...
research
∙
11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
research
∙
10/10/2018
Leveraging local network communities to predict academic performance
For more than 20 years, social network analysis of student collaboration...
research
∙
10/03/2018
Sparse Winograd Convolutional neural networks on small-scale systolic arrays
The reconfigurability, energy-efficiency, and massive parallelism on FPG...
research
∙
03/04/2018
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
High-resolution (HR) magnetic resonance images (MRI) provide detailed an...
research
∙
02/20/2018
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network
Coronary calcium causes beam hardening and blooming artifacts on cardiac...
research
∙
01/08/2018
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
Magnetic resonance image (MRI) in high spatial resolution provides detai...
research
∙
11/29/2017
The Wisdom of Polarized Crowds
As political polarization in the United States continues to rise, the qu...
research
∙
08/05/2017
Interpreting CNN Knowledge via an Explanatory Graph
This paper learns a graphical model, namely an explanatory graph, which ...
research
∙
02/16/2017
Reflexive Regular Equivalence for Bipartite Data
Bipartite data is common in data engineering and brings unique challenge...
research
∙
04/06/2016
Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem
A rigorous runtime analysis of evolutionary multi-objective optimization...
research
∙
12/03/2014