b'Feng Shi'

research

∙ 05/04/2021

VersaGNN: a Versatile accelerator for Graph neural networks

Graph Neural Network (GNN) is a promising approach for analyzing graph-s...

18 Feng Shi, et al. ∙

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...

0 Yizhong Sun, et al. ∙

research

∙ 12/13/2020

Semantic Networks for Engineering Design: A Survey

There have been growing uses of semantic networks in the past decade, su...

0 Ji Han, et al. ∙

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...

0 Yanren Hou, et al. ∙

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 ...

0 Yizhou Zhao, et al. ∙

research

∙ 09/17/2020

Structured Attention for Unsupervised Dialogue Structure Induction

Inducing a meaningful structural representation from one or a set of dia...

5 Liang Qiu, et al. ∙

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 ...

13 Xiaofeng Zhu, et al. ∙

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...

25 Donglin Di, et al. ∙

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...

18 Liang Sun, et al. ∙

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...

16 Hengyuan Kang, et al. ∙

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...

2 Xi Ouyang, et al. ∙

research

∙ 04/20/2020

MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning

Learning from positive and unlabeled data (PU learning) is prevalent in ...

0 Tong Wei, et al. ∙

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...

18 Feng Shi, et al. ∙

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...

13 Zhenyu Tang, et al. ∙

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...

15 Feng Shi, et al. ∙

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 ...

0 Yuhua Chen, et al. ∙

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...

3 Feng Shi, et al. ∙

research

∙ 10/18/2019

Science and Technology Advance through Surprise

Breakthrough discoveries and inventions involve unexpected combinations ...

32 Feng Shi, et al. ∙

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...

0 Zheng Tracy Ke, et al. ∙

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 ...

0 Feng Shi, et al. ∙

research

∙ 07/08/2019

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation

Understanding users' context is essential for successful recommendations...

0 Xichen Ding, et al. ∙

research

∙ 12/18/2018

Explanatory Graphs for CNNs

This paper introduces a graphical model, namely an explanatory graph, wh...

24 Quanshi Zhang, et al. ∙

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...

0 Spyridon Bakas, et al. ∙

research

∙ 10/10/2018

Leveraging local network communities to predict academic performance

For more than 20 years, social network analysis of student collaboration...

0 David Burstein, et al. ∙

research

∙ 10/03/2018

Sparse Winograd Convolutional neural networks on small-scale systolic arrays

The reconfigurability, energy-efficiency, and massive parallelism on FPG...

0 Feng Shi, et al. ∙

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...

0 Yuhua Chen, et al. ∙

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...

0 Siming Yan, et al. ∙

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...

0 Yuhua Chen, et al. ∙

research

∙ 11/29/2017

The Wisdom of Polarized Crowds

As political polarization in the United States continues to rise, the qu...

0 Feng Shi, et al. ∙

research

∙ 08/05/2017

Interpreting CNN Knowledge via an Explanatory Graph

This paper learns a graphical model, namely an explanatory graph, which ...

0 Quanshi Zhang, et al. ∙

research

∙ 02/16/2017

Reflexive Regular Equivalence for Bipartite Data

Bipartite data is common in data engineering and brings unique challenge...

0 Aaron Gerow, et al. ∙

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...

0 Mojgan Pourhassan, et al. ∙

research

∙ 12/03/2014

Gradient Boundary Histograms for Action Recognition

This paper introduces a high efficient local spatiotemporal descriptor, ...

0 Feng Shi, et al. ∙

Feng Shi

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