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Xiaoqian Jiang

UC San Diego

Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Oct 06, 2020
Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts


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Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation

Sep 23, 2020
Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim


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Secure and Differentially Private Bayesian Learning on Distributed Data

May 22, 2020
Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee

* 18 pages, 9 figures 

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Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

Aug 26, 2019
Jing Ma, Qiuchen Zhang, Jian Lou, Joyce. C. Ho, Li Xiong, Xiaoqian Jiang


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Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes

Nov 09, 2018
Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo

* 4 pages, 3 figures, accepted by BIBM 2018 

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Model-Protected Multi-Task Learning

Sep 19, 2018
Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang

* Supplemental materials are attached at the end of the main paper 

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Federated Tensor Factorization for Computational Phenotyping

Apr 11, 2017
Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang


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Predicting accurate probabilities with a ranking loss

Jun 18, 2012
Aditya Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado

* ICML2012 

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