World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
7479
World Ranking
12914
National Ranking
5211

Overview

Hao Helen Zhang is affiliated with the University of Arizona in the United States. Their research spans multiple interconnected disciplines including Medicine, Biochemistry, Genetics and Molecular Biology, and Computer Science. Within these broader fields, their work often focuses on Molecular Biology, Artificial Intelligence, Infectious Diseases, Computer Vision and Pattern Recognition, and Epidemiology.

The scientist's main research topics involve gene expression and cancer classification, RNA modifications and cancer, COVID-19 clinical research studies, SARS-CoV-2 and COVID-19 research, genomics and phylogenetic studies, bioinformatics and genomic networks, and RNA and protein synthesis mechanisms.

Notable recent publications by Hao Helen Zhang include:

  • Machine Learning Techniques for Optimizing Design of Double T-Shaped Monopole Antenna, 2020, IEEE Transactions on Antennas and Propagation
  • Group IIA secreted phospholipase A2 is associated with the pathobiology leading to COVID-19 mortality, 2021, Journal of Clinical Investigation
  • Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study, 2022, The Lancet Digital Health
  • Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study, 2020, PLoS ONE
  • On fusion methods for knowledge discovery from multi-omics datasets, 2020, Computational and Structural Biotechnology Journal

Frequent co-authors collaborating with Hao Helen Zhang include Brian Hallmark, Guang Yao, Floyd H. Chilton, Laurel Johnstone, and Yinshan Fang.

Publications have appeared in various venues, with numerous contributions to UNC Libraries, arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Antennas and Propagation, and Nature Communications.

Best Publications

  • On the adaptive elastic-net with a diverging number of parameters

    Hui Zou;Hao Helen Zhang

  • Component selection and smoothing in multivariate nonparametric regression

    Yi Lin;Hao Helen Zhang

  • Adaptive Lasso for Cox's proportional hazards model

    Hao Helen Zhang;Wenbin Lu

  • Principles and Theory for Data Mining and Machine Learning

    Bertrand Clarke;Ernest Fokoue;Hao Helen Zhang

  • Gene selection using support vector machines with non-convex penalty

    Hao Helen Zhang;Jeongyoun Ahn;Xiaodong Lin;Cheolwoo Park

  • Short communication: A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables

    Huan Liu;Yongqiang Tang;Hao Helen Zhang

  • Machine learning for Big Data analytics in plants

    Chuang Ma;Hao Helen Zhang;Xiangfeng Wang;Xiangfeng Wang

  • Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

    Wei Hsuan Lo-Ciganic;James L. Huang;Hao H. Zhang;Jeremy C. Weiss

  • Variable selection for optimal treatment decision.

    Wenbin Lu;Hao Helen Zhang;Hao Helen Zhang;Donglin Zeng

  • Machine Learning Techniques for Optimizing Design of Double T-Shaped Monopole Antenna

    Yashika Sharma;Hao Helen Zhang;Hao Xin

  • Partially functional linear regression in high dimensions

    Dehan Kong;Kaijie Xue;Fang Yao;Hao H. Zhang

  • Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models

    Hao Helen Zhang;Guang Cheng;Yufeng Liu

  • Interaction Screening for Ultrahigh-Dimensional Data

    Ning Hao;Hao Helen Zhang

  • Hard or Soft Classification? Large-margin Unified Machines.

    Yufeng Liu;Hao Helen Zhang;Yichao Wu

  • Weighted Distance Weighted Discrimination and Its Asymptotic Properties

    Xingye Qiao;Hao Helen Zhang;Yufeng Liu;Michael J. Todd

  • Surface Estimation, Variable Selection, and the Nonparametric Oracle Property

    Curtis B. Storlie;Howard D. Bondell;Brian J. Reich;Hao Helen Zhang

  • Variable selection and model building via likelihood basis pursuit

    Hao Helen Zhang;Grace Wahba;Yi Lin;Meta Voelker

  • Variable selection for the multicategory SVM via adaptive sup-norm regularization

    Hao Helen Zhang;Yufeng Liu;Yichao Wu;Ji Zhu

  • Model Selection for High-Dimensional Quadratic Regression via Regularization

    Ning Hao;Yang Feng;Hao Helen Zhang

  • Support vector machines with adaptive Lq penalty

    Yufeng Liu;Hao Helen Zhang;Cheolwoo Park;Jeongyoun Ahn

  • Sure independence screening for ultrahigh dimensional feature space Discussion

    P Bickel;P Buhlmann;QW Yao;R Samworth

Frequent Co-Authors

Hui Zou
Hui Zou University of Minnesota
Subhashis Ghosal
Subhashis Ghosal North Carolina State University
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Charles E. McCall
Charles E. McCall Wake Forest University
Floyd H. Chilton
Floyd H. Chilton University of Arizona
Yusuf A. Hannun
Yusuf A. Hannun Stony Brook University
Hao Xin
Hao Xin University of Arizona
Jianrong Li
Jianrong Li University of Arizona
Avrum Spira
Avrum Spira Boston University

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