b'Ying Ding'

Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning

Chest X-ray becomes one of the most common medical diagnoses due to its ...
01/12/2021 ∙ by Yan Han, et al. ∙ 0 ∙ share

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Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Machine Learning (ML) models typically require large-scale, balanced tra...
01/11/2021 ∙ by Tingyi Wanyan, et al. ∙ 10 ∙ share

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Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records

Computational prediction of in-hospital mortality in the setting of an i...
12/28/2020 ∙ by Tingyi Wanyan, et al. ∙ 1 ∙ share

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Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance

This paper analyzes team collaboration in the field of Artificial Intell...
12/25/2020 ∙ by Xuli Tang, et al. ∙ 0 ∙ share

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Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure

Knowledge Graphs have been one of the fundamental methods for integratin...
12/18/2020 ∙ by Islam Akef Ebeid, et al. ∙ 0 ∙ share

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Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays

Chest X-rays become one of the most common medical diagnoses due to its ...
11/25/2020 ∙ by Yan Han, et al. ∙ 0 ∙ share

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Can pandemics transform scientific novelty? Evidence from COVID-19

Scientific novelty is important during the pandemic due to its critical ...
09/26/2020 ∙ by Meijun Liu, et al. ∙ 0 ∙ share

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The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error

Innovations in artificial intelligence (AI) are occurring at speeds fast...
09/03/2020 ∙ by Xuli Tang, et al. ∙ 0 ∙ share

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Coronavirus Knowledge Graph: A Case Study

The emergence of the novel COVID-19 pandemic has had a significant impac...
07/04/2020 ∙ by Chongyan Chen, et al. ∙ 0 ∙ share

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Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements

COVID-19 resulted in an infodemic, which could erode public trust, imped...
05/21/2020 ∙ by Yan Leng, et al. ∙ 0 ∙ share

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Building a PubMed knowledge graph

PubMed is an essential resource for the medical domain, but useful conce...
05/08/2020 ∙ by Jian Xu, et al. ∙ 0 ∙ share

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Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

We present a multi-filtering Graph Convolution Neural Network (GCN) fram...
04/03/2020 ∙ by Tingyi Wanyan, et al. ∙ 0 ∙ share

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A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies

With the uptake of targeted therapies, instead of the "one-fits-all" app...
03/23/2020 ∙ by Yue Wei, et al. ∙ 0 ∙ share

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Co-contributorship Network and Division of Labor in Individual Scientific Collaborations

Collaborations are pervasive in current science. Collaborations have bee...
11/25/2019 ∙ by Chao Lu, et al. ∙ 0 ∙ share

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Analyzing Linguistic Complexity and Scientific Impact

The number of publications and the number of citations received have bec...
07/27/2019 ∙ by Chao Lu, et al. ∙ 0 ∙ share

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Gene-based Association Analysis for Bivariate Time-to-event Data through Functional Regression with Copula Models

Several gene-based association tests for time-to-event traits have been ...
04/01/2019 ∙ by Yue Wei, et al. ∙ 0 ∙ share

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Copula-based semiparametric transformation model for bivariate data under general interval censoring

This research is motivated by discovering and underpinning genetic cause...
01/07/2019 ∙ by Tao Sun, et al. ∙ 0 ∙ share

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Direct Citations between Citing Publications

This paper defines and explores the direct citations between citing publ...
11/02/2018 ∙ by Yong Huang, et al. ∙ 0 ∙ share

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edge2vec: Learning Node Representation Using Edge Semantics

Representation learning for networks provides a new way to mine graphs. ...
09/07/2018 ∙ by Zheng Gao, et al. ∙ 0 ∙ share

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Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Publishing articles in high-impact English journals is difficult for sch...
07/22/2018 ∙ by Chao Lu, et al. ∙ 0 ∙ share

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Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

Although latent factor models (e.g., matrix factorization) achieve good ...
02/22/2018 ∙ by Zhiyong Cheng, et al. ∙ 0 ∙ share

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DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data

Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become ...
04/06/2017 ∙ by Zhe Sun, et al. ∙ 0 ∙ share

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Meta Path-Based Collective Classification in Heterogeneous Information Networks

Collective classification has been intensively studied due to its impact...
05/20/2013 ∙ by Xiangnan Kong, et al. ∙ 0 ∙ share

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General Scaled Support Vector Machines

Support Vector Machines (SVMs) are popular tools for data mining tasks s...
09/27/2010 ∙ by Xin Liu, et al. ∙ 0 ∙ share

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Ying Ding

Featured Co-authors

Philip S. Yu

Wei Chen

Xin Li

Fei Wang

Xin Liu

YI LIU

Jie Wang

Wei Lu

Lei Zhu

Mohan Kankanhalli

Ting Wang

Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records

Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance

Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays

Can pandemics transform scientific novelty? Evidence from COVID-19

The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error

Coronavirus Knowledge Graph: A Case Study

Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements

Building a PubMed knowledge graph

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies

Co-contributorship Network and Division of Labor in Individual Scientific Collaborations

Analyzing Linguistic Complexity and Scientific Impact

Gene-based Association Analysis for Bivariate Time-to-event Data through Functional Regression with Copula Models

Copula-based semiparametric transformation model for bivariate data under general interval censoring

Direct Citations between Citing Publications

edge2vec: Learning Node Representation Using Edge Semantics

Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data

Meta Path-Based Collective Classification in Heterogeneous Information Networks

General Scaled Support Vector Machines