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Computer Science

D-Index
49
Citations
10817
World Ranking
5838
National Ranking
2651

Overview

Xiaoqian Jiang is affiliated with The University of Texas Health Science Center at Houston in the United States and has an extensive publication record spanning medicine and computer science with a focus on artificial intelligence applications in healthcare and biomedical research.

Their recent publications include:

  • Improving large language models for clinical named entity recognition via prompt engineering (2024), Journal of the American Medical Informatics Association
  • Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review (2020), Journal of Biomedical Informatics
  • Responsible, practical genomic data sharing that accelerates research (2020), Nature Reviews Genetics
  • Use of the deep learning approach to measure alveolar bone level (2021), Journal Of Clinical Periodontology
  • Anticancer drug synergy prediction in understudied tissues using transfer learning (2020), Journal of the American Medical Informatics Association

Jiang's frequent co-authors include:

  • Yejin Kim
  • Arif Harmanci
  • Hua Xu
  • Luyao Chen
  • Kai Zhang

The main publication venues where Jiang has contributed multiple works are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Biomedical Informatics
  • Journal of the American Medical Informatics Association
  • BMC Medical Informatics and Decision Making

The principal fields of study encompass Medicine and Computer Science, with subfields focusing on:

  • Artificial Intelligence
  • Molecular Biology
  • Genetics
  • Epidemiology
  • Psychiatry and Mental health

The core research topics include:

  • Machine Learning in Healthcare
  • Privacy-Preserving Technologies in Data
  • Topic Modeling
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Biomedical Text Mining and Ontologies
  • Dementia and Cognitive Impairment Research

Best Publications

  • Deep learning for healthcare: review, opportunities and challenges.

    Riccardo Miotto;Fei Wang;Shuang Wang;Xiaoqian Jiang

  • Secure Outsourced Matrix Computation and Application to Neural Networks

    Xiaoqian Jiang;Miran Kim;Kristin Lauter;Yongsoo Song

  • Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation

    Miran Kim;Yongsoo Song;Shuang Wang;Yuhou Xia

  • Privacy-Preserving SVM classification on vertically partitioned data

    Hwanjo Yu;Jaideep Vaidya;Xiaoqian Jiang

  • Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data

    Hwanjo Yu;Xiaoqian Jiang;Jaideep Vaidya

  • Privacy-preserving SVM classification

    Jaideep Vaidya;Hwanjo Yu;Xiaoqian Jiang

  • Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

    Yuqi Si;Jingcheng Du;Zhao Li;Xiaoqian Jiang

  • Grid Binary LOgistic REgression (GLORE): building shared models without sharing data.

    Yuan Wu;Xiaoqian Jiang;Jihoon Kim;Lucila Ohno-Machado

  • Calibrating predictive model estimates to support personalized medicine.

    Xiaoqian Jiang;Melanie Osl;Jihoon Kim;Lucila Ohno-Machado

  • Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis.

    Junghye Lee;Jimeng Sun;Fei Wang;Shuang Wang

  • Overcome Support Vector Machine Diagnosis Overfitting

    Henry Han;Xiaoqian Jiang

  • WebDISCO: A web service for distributed cox model learning without patient-level data sharing

    Chia-Lun Lu;Shuang Wang;Zhanglong Ji;Yuan Wu

  • HEALER: Homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS

    Shuang Wang;Yuchen Zhang;Wenrui Dai;Kristin E. Lauter

  • iDASH: integrating data for analysis, anonymization, and sharing

    Lucila Ohno-Machado;Vineet Bafna;Aziz A Boxwala;Brian E Chapman

  • Use of the Deep Learning Approach to Measure Alveolar Bone Level

    Chun-Teh Lee;Tanjida Kabir;Jiman Nelson;Sally Sheng

  • PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.

    Feng Chen;Shuang Wang;Xiaoqian Jiang;Sijie Ding

  • Federated Tensor Factorization for Computational Phenotyping

    Yejin Kim;Jimeng Sun;Hwanjo Yu;Xiaoqian Jiang

  • Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States

    Shuang Wang;Xiaoqian Jiang;Siddharth Singh;Rebecca Marmor

  • Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks.

    Jean Louis Raisaro;Florian Tramèr;Zhanglong Ji;Diyue Bu

  • Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research.

    Jihoon Kim;Hyeoneui Kim;Elizabeth Bell;Tyler Bath

  • EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning.

    Shuang Wang;Xiaoqian Jiang;Yuan Wu;Lijuan Cui;Lijuan Cui

  • Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions

    Haoran Li;Li Xiong;Xiaoqian Jiang

Frequent Co-Authors

Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Li Xiong
Li Xiong Emory University
Kristin E. Lauter
Kristin E. Lauter Microsoft (United States)
Jaideep Vaidya
Jaideep Vaidya Rutgers, The State University of New Jersey
Hua Xu
Hua Xu Yale University
Xiaofeng Wang
Xiaofeng Wang Free University of Bozen-Bolzano
Haixu Tang
Haixu Tang Indiana University
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Amalio Telenti
Amalio Telenti VIR Biotechnology (United States)
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston

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