Hao Helen Zhang

Orcid: 0000-0001-8873-3329

Affiliations:
  • University of Arizona, Tucson, AZ, USA
  • North Carolina State University (2002 - 2011)
  • University of Wisconsin-Madison (PhD 2002)


According to our database1, Hao Helen Zhang authored at least 27 papers between 2002 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection.
CoRR, May, 2026

2025
Quantifying Dataset Similarity to Guide Transfer Learning.
CoRR, October, 2025

Novel SVM-based classification approaches for evaluating pancreatic carcinoma.
Ann. Math. Artif. Intell., February, 2025

Dynamic Supervised Principal Component Analysis for Classification.
J. Comput. Graph. Stat., 2025

Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas.
CoRR, 2024

Robust brain MRI image classification with SIBOW-SVM.
Comput. Medical Imaging Graph., 2024

2023
Spatial heterogeneity automatic detection and estimation.
Comput. Stat. Data Anal., April, 2023

Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines.
CoRR, 2023

Boosting Nyström Method.
CoRR, 2023

2022
Linear Algorithms for Nonparametric Multiclass Probability Estimation.
CoRR, 2022

2021
Nonparametric Trace Regression in High Dimensions via Sign Series Representation.
CoRR, 2021

2020
Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.
BMC Bioinform., 2020

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.
BMC Bioinform., 2020

2019
Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes.
Proceedings of the AMIA 2019, 2019

2017
kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects.
J. Biomed. Informatics, 2017

2015
eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs.
J. Biomed. Informatics, 2015

2013
Iterative selection using orthogonal regression techniques.
Stat. Anal. Data Min., 2013

2010
On sparse estimation for semiparametric linear transformation models.
J. Multivar. Anal., 2010

Bayesian Inference of Odds Ratios in Misclassified Binary Data with a Validation Substudy.
Commun. Stat. Simul. Comput., 2010

2009
Automatic model selection for partially linear models.
J. Multivar. Anal., 2009

A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables.
Comput. Stat. Data Anal., 2009

2007
Support vector machines with adaptive L<sub>q</sub> penalty.
Comput. Stat. Data Anal., 2007

2006
Gene selection using support vector machines with non-convex penalty.
Bioinform., 2006

2004
Model building with likelihood basis pursuit.
Optim. Methods Softw., 2004

2002
Statistical Properties and Adaptive Tuning of Support Vector Machines.
Mach. Learn., 2002


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