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Xiaoqian Jiang

The University of Texas Health Science Center at Houston, United States

Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources


Sep 28, 2021
Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang

* 19 pages, 5 figures, submitted to Journal of Biomedical Informatics 

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Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark


Sep 27, 2021
Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim

* 35 pages, 7 figures 

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Use of the Deep Learning Approach to Measure Alveolar Bone Level


Sep 24, 2021
Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams

* Word count: 3485; Number of figures: 4; tables: 2; references: 34 

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De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective


Sep 10, 2021
Md Monowar Anjum, Noman Mohammed, Xiaoqian Jiang

* Accepted in Poster Track for ACM CCS 2021 

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A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy


Sep 10, 2021
Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang

* 37 pages 

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An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles


Aug 04, 2021
Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei VS Pakhomov


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Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules


Jul 04, 2021
Yan Ding, Xiaoqian Jiang, Yejin Kim


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COVID-19 Smart Chatbot Prototype for Patient Monitoring


Mar 11, 2021
Hannah Lei, Weiqi Lu, Alan Ji, Emmett Bertram, Paul Gao, Xiaoqian Jiang, Arko Barman

* This manuscript is under consideration for the AMIA 2021 Annual Symposium 

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Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network


Feb 01, 2021
Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

* In review 

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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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