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


Apr 11, 2021
Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

* Preprint 

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


Apr 07, 2021
Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S Glicksberg


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


Jan 12, 2021
Yan Han, Chongyan Chen, Ahmed H Tewfik, Ying Ding, Yifan Peng

* Accepted for ISBI 2021 

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Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients


Jan 11, 2021
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, ArifulAzad, Fei Wang, Ying Ding, Benjamin S. Glicksberg


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


Dec 28, 2020
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg


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


Dec 25, 2020
Xuli Tang, Xin Li, Ying Ding, Feicheng Ma

* Accepted short paper submission to iConference 2021 

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


Dec 18, 2020
Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding

* Accepted short paper submission to iConference 2021 

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


Nov 25, 2020
Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

* Under Review 

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Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN


Apr 03, 2020
Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding


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Analyzing Linguistic Complexity and Scientific Impact


Jul 27, 2019
Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang

* 27pages, 6 figures, accepted by Journal of Informetrics 

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Examining Scientific Writing Styles from the Perspective of Linguistic Complexity


Sep 13, 2018
Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle Torvik, Matthew Schnaars, Chengzhi Zhang

* 6 figures 

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


Apr 06, 2017
Zhe Sun, Ting Wang, Ke Deng, Xiao-Feng Wang, Robert Lafyatis, Ying Ding, Ming Hu, Wei Chen


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Meta Path-Based Collective Classification in Heterogeneous Information Networks


May 20, 2013
Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild


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Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging


Oct 24, 2012
Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang

* PLOS ONE Manuscript Draft 

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General Scaled Support Vector Machines


Sep 27, 2010
Xin Liu, Ying Ding, Forrest Sheng Bao

* 5 pages, 4 figures 

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