Hao Zhang

Professor, Statistics-GIDP | Member of the Graduate Faculty | Professor, Mathematics | Chair, Statistics-GIDP | Professor, Applied Mathematics - GIDP

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Recent

Optimal Pair Matching Combined with Machine Learning Predicts that Omega-3 Fatty Acid Supplementation Markedly Reduces the Risk of Myocardial Infarction in African Americans

2024

Heterogeneous domain adaptation with adversarial neural representation learning: experiments on e-commerce and cybersecurity.

2023

Linear algorithms for robust and scalable nonparametric multiclass probability estimation.

2023

Machine learning methods-based m odeling and optimization of 3-D-printed dielectrics around monopole antenna.

2022

Karyometry Identifies a Distinguishing Fallopian Tube Epithelium Phenotype in Subjects at High Risk for Ovarian Cancer

2021

Sparse Learning with Non-convex Penalty in Multi-classification

2021

Nonparametric trace regression in high dimensions via sign series representation

2021

SEMFA: A General Framework for Inferring Statistical Significance of Mahalanobis Similarity between Multi-Omics Profiled Samples Using Extended Multiple Factor Analysis

2021

Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity

2021

Machine Learning Methods-based Modeling and Optimization of 3-D-Printed Dielectrics around Monopole Antenna.

2021

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Hao Zhang

Research Area

Grants(16)

Publications(87)

Optimal Pair Matching Combined with Machine Learning Predicts that Omega-3 Fatty Acid Supplementation Markedly Reduces the Risk of Myocardial Infarction in African Americans

Heterogeneous domain adaptation with adversarial neural representation learning: experiments on e-commerce and cybersecurity.

Linear algorithms for robust and scalable nonparametric multiclass probability estimation.

Machine learning methods-based m odeling and optimization of 3-D-printed dielectrics around monopole antenna.

Karyometry Identifies a Distinguishing Fallopian Tube Epithelium Phenotype in Subjects at High Risk for Ovarian Cancer

Sparse Learning with Non-convex Penalty in Multi-classification

Nonparametric trace regression in high dimensions via sign series representation

SEMFA: A General Framework for Inferring Statistical Significance of Mahalanobis Similarity between Multi-Omics Profiled Samples Using Extended Multiple Factor Analysis

Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity

Machine Learning Methods-based Modeling and Optimization of 3-D-Printed Dielectrics around Monopole Antenna.

Collaborations(79)

Sanlyn Buxner

Nirav Merchant

Cynthia Thomson

Denise Roe

Bonnie LaFleur

News(1)

Wake-Up Call: Cellular Sleep Isn’t As Harmless As Once Thought

Courses(3)

Theory of Statistics

Statistical Machine Learning

Capstone for Statistics and Data Science