b'Ying Ding'

research

∙ 01/11/2022

Prior Knowledge Enhances Radiology Report Generation

Radiology report generation aims to produce computer-aided diagnoses to ...

Song Wang, et al. ∙

research

∙ 10/28/2021

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification

Radiology reports are unstructured and contain the imaging findings and ...

Ajay Jaiswal, et al. ∙

research

∙ 10/27/2021

SCALP – Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata

Computer-aided diagnosis plays a salient role in more accessible and acc...

Ajay Jaiswal, et al. ∙

research

∙ 08/09/2021

Team Power and Hierarchy: Understanding Team Success

Teamwork is cooperative, participative and power sharing. In science of ...

Huimin Xu, et al. ∙

research

∙ 06/11/2021

A dataset of mentorship in science with semantic and demographic estimations

Mentorship in science is crucial for topic choice, career decisions, and...

Qing Ke, et al. ∙

research

∙ 04/11/2021

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop

Building a highly accurate predictive model for these tasks usually requ...

Yan Han, et al. ∙

research

∙ 04/07/2021

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data

Electronic Health Record (EHR) data has been of tremendous utility in Ar...

Tingyi Wanyan, et al. ∙

research

∙ 01/12/2021

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 ...

Yan Han, et al. ∙

research

∙ 01/11/2021

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Machine Learning (ML) models typically require large-scale, balanced tra...

Tingyi Wanyan, et al. ∙

research

∙ 12/28/2020

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...

Tingyi Wanyan, et al. ∙

research

∙ 12/25/2020

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

This paper analyzes team collaboration in the field of Artificial Intell...

Xuli Tang, et al. ∙

research

∙ 12/18/2020

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...

Islam Akef Ebeid, et al. ∙

research

∙ 11/25/2020

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 ...

Yan Han, et al. ∙

research

∙ 09/26/2020

Can pandemics transform scientific novelty? Evidence from COVID-19

Scientific novelty is important during the pandemic due to its critical ...

Meijun Liu, et al. ∙

research

∙ 09/03/2020

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

Innovations in artificial intelligence (AI) are occurring at speeds fast...

Xuli Tang, et al. ∙

research

∙ 07/04/2020

Coronavirus Knowledge Graph: A Case Study

The emergence of the novel COVID-19 pandemic has had a significant impac...

Chongyan Chen, et al. ∙

research

∙ 05/21/2020

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...

Yan Leng, et al. ∙

research

∙ 05/08/2020

Building a PubMed knowledge graph

PubMed is an essential resource for the medical domain, but useful conce...

Jian Xu, et al. ∙

research

∙ 04/03/2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

We present a multi-filtering Graph Convolution Neural Network (GCN) fram...

Tingyi Wanyan, et al. ∙

research

∙ 03/23/2020

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...

Yue Wei, et al. ∙

research

∙ 11/25/2019

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

Collaborations are pervasive in current science. Collaborations have bee...

Chao Lu, et al. ∙

research

∙ 07/27/2019

Analyzing Linguistic Complexity and Scientific Impact

The number of publications and the number of citations received have bec...

Chao Lu, et al. ∙

research

∙ 04/01/2019

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 ...

Yue Wei, et al. ∙

research

∙ 01/07/2019

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

This research is motivated by discovering and underpinning genetic cause...

Tao Sun, et al. ∙

research

∙ 11/02/2018

Direct Citations between Citing Publications

This paper defines and explores the direct citations between citing publ...

Yong Huang, et al. ∙

research

∙ 09/07/2018

edge2vec: Learning Node Representation Using Edge Semantics

Representation learning for networks provides a new way to mine graphs. ...

Zheng Gao, et al. ∙

research

∙ 07/22/2018

Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Publishing articles in high-impact English journals is difficult for sch...

Chao Lu, et al. ∙

research

∙ 02/22/2018

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

Although latent factor models (e.g., matrix factorization) achieve good ...

Zhiyong Cheng, et al. ∙

research

∙ 04/06/2017

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

Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become ...

Zhe Sun, et al. ∙

research

∙ 05/20/2013

Meta Path-Based Collective Classification in Heterogeneous Information Networks

Collective classification has been intensively studied due to its impact...

Xiangnan Kong, et al. ∙

research

∙ 09/27/2010

General Scaled Support Vector Machines

Support Vector Machines (SVMs) are popular tools for data mining tasks s...

Xin Liu, et al. ∙

Ying Ding

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