Statistical Properties and Adaptive Tuning of Support Vector Machines. - Yi Lin; Grace Wahba; Hao Zhang 018; Yoonkyung Lee (Mach. Learn., 2002)

Model building with likelihood basis pursuit. - Michael C. Ferris; Meta M. Voelker; Hao Helen Zhang (Optim. Methods Softw., 2004)

Gene selection using support vector machines with non-convex penalty. - Hao Helen Zhang; Jeongyoun Ahn; Xiaodong Lin 004; Cheolwoo Park (Bioinform., 2006)

Support vector machines with adaptive Lq penalty. - Yufeng Liu; Hao Helen Zhang; Cheolwoo Park; Jeongyoun Ahn (Comput. Stat. Data Anal., 2007)

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 (Comput. Stat. Data Anal., 2009)

Automatic model selection for partially linear models. - Xiao Ni; Hao Helen Zhang; Daowen Zhang (J. Multivar. Anal., 2009)

Bayesian Inference of Odds Ratios in Misclassified Binary Data with a Validation Substudy. - Dewi Rahardja; Yan D. Zhao; Hao Helen Zhang (Commun. Stat. Simul. Comput., 2010)

On sparse estimation for semiparametric linear transformation models. - Hao Helen Zhang; Wenbin Lu; Hansheng Wang 002 (J. Multivar. Anal., 2010)

Iterative selection using orthogonal regression techniques. - Bradley C. Turnbull; Subhashis Ghosal; Hao Helen Zhang (Stat. Anal. Data Min., 2013)

eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs. - Haiquan Li; Nima Pouladi; Ikbel Achour; Vincent Gardeux; Jianrong Li; Qike Li; Hao Helen Zhang; Fernando D. Martinez; Joe G. N. 'Skip' Garcia; Yves A. Lussier (J. Biomed. Informatics, 2015)

kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects. - Qike Li; A. Grant Schissler; Vincent Gardeux; Joanne Berghout; Ikbel Achour; Colleen Kenost; Haiquan Li; Hao Helen Zhang; Yves A. Lussier (J. Biomed. Informatics, 2017)

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes. - Qike Li; Samir Rachid Zaim; Dillon Aberasturi; Joanne Berghout; Haiquan Li; Francesca Vitali; Colleen Kenost; Hao Helen Zhang; Yves A. Lussier (AMIA, 2019)

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions. - Samir Rachid Zaim; Colleen Kenost; Joanne Berghout; Wesley Chiu; Liam Wilson; Hao Helen Zhang; Yves A. Lussier (BMC Bioinform., 2020)

Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions. - Samir Rachid Zaim; Colleen Kenost; Joanne Berghout; Wesley Chiu; Liam Wilson; Hao Helen Zhang; Yves A. Lussier (BMC Bioinform., 2020)

Nonparametric Trace Regression in High Dimensions via Sign Series Representation. - Chanwoo Lee; Lexin Li; Hao Helen Zhang; Miaoyan Wang (CoRR, 2021)

Linear Algorithms for Nonparametric Multiclass Probability Estimation. - Liyun Zeng; Hao Helen Zhang (CoRR, 2022)

Boosting Nyström Method. - Keaton Hamm; Zhaoying Lu; Wenbo Ouyang; Hao Helen Zhang (CoRR, 2023)

Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines. - Liyun Zeng; Hao Helen Zhang (CoRR, 2023)

Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. - Mohammadreza Ebrahimi 001; Yidong Chai; Hao Helen Zhang; Hsinchun Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Spatial heterogeneity automatic detection and estimation. - Xin Wang 042; Zhengyuan Zhu; Hao Helen Zhang (Comput. Stat. Data Anal., 2023)

Robust brain MRI image classification with SIBOW-SVM. - Liyun Zeng; Hao Helen Zhang (Comput. Medical Imaging Graph., 2024)

Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas. - Xi Chen; Yashika Sharma; Hao Helen Zhang; Xin Hao; Qiang Zhou (CoRR, 2024)

Novel SVM-based classification approaches for evaluating pancreatic carcinoma. - Ammon Washburn; Neng Fan; Hao Helen Zhang (Ann. Math. Artif. Intell., 2025)