Association screening of common and rare genetic variants by penalized regression. - Hua Zhou 001; Mary E. Sehl; Janet S. Sinsheimer; Kenneth Lange (Bioinform., 2010)

Penalized Regression for Genome-Wide Association Screening of Sequence Data. - Hua Zhou 001; David H. Alexander; Mary E. Sehl; Janet S. Sinsheimer; Kenneth Lange (Pacific Symposium on Biocomputing, 2011)

A fast procedure for calculating importance weights in bootstrap sampling. - Hua Zhou 001; Kenneth Lange (Comput. Stat. Data Anal., 2011)

A quasi-Newton acceleration for high-dimensional optimization algorithms. - Hua Zhou 001; David H. Alexander; Kenneth Lange (Stat. Comput., 2011)

Nonlinear dimension reduction with Wright-Fisher kernel for genotype aggregation and association mapping. - Hongjie Zhu; Lexin Li; Hua Zhou 001 (Bioinform., 2012)

EM vs MM: A case study. - Hua Zhou 001; Yiwen Zhang (Comput. Stat. Data Anal., 2012)

Imaging genetics via sparse canonical correlation analysis. - Eric C. Chi; Genevera I. Allen; Hua Zhou 001; Omid Kohannim; Kenneth Lange; Paul M. Thompson (ISBI, 2013)

Mendel: the Swiss army knife of genetic analysis programs. - Kenneth Lange; Jeanette C. Papp; Janet S. Sinsheimer; Ram Sripracha; Hua Zhou 001; Eric M. Sobel (Bioinform., 2013)

Distance majorization and its applications. - Eric C. Chi; Hua Zhou 001; Kenneth Lange (Math. Program., 2014)

MM algorithms for geometric and signomial programming. - Kenneth Lange; Hua Zhou 001 (Math. Program., 2014)

Path following in the exact penalty method of convex programming. - Hua Zhou 001; Kenneth Lange (Comput. Optim. Appl., 2015)

Classification based on neuroimaging data by tensor boosting. - Bo Zhang; Hua Zhou 001; Liwei Wang 008; Chul Sung (IJCNN, 2017)

MGLM: An R Package for Multivariate Categorical Data Analysis. - Juhyun Kim; Yiwen Zhang; Joshua Day; Hua Zhou 001 (R J., 2018)

Proximal Distance Algorithms: Theory and Practice. - Kevin L. Keys; Hua Zhou 001; Kenneth Lange (J. Mach. Learn. Res., 2019)

Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract). - Wenxi Yu; Hua Zhou 001; Jonathan G. Goldin; Hyun J. Grace Kim (AAAI, 2020)

DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia. - Seyoon Ko; Hua Zhou 001; Jin Zhou; Joong-Ho Won (CoRR, 2020)

Provable Convex Co-clustering of Tensors. - Eric C. Chi; Brian J. Gaines; Will Wei Sun; Hua Zhou 001; Jian Yang 002 (J. Mach. Learn. Res., 2020)

OnlineStats.jl: A Julia package for statistics on data streams. - Joshua Day; Hua Zhou 001 (J. Open Source Softw., 2020)

Probabilistic Error Analysis for Inner Products. - Ilse C. F. Ipsen; Hua Zhou 001 (SIAM J. Matrix Anal. Appl., 2020)

Matrix Linear Discriminant Analysis. - Wei Hu; Weining Shen; Hua Zhou 001; Dehan Kong (Technometrics, 2020)

Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF). - Wenxi Yu; Hua Zhou 001; Youngwon Choi; Jonathan G. Goldin; Hyun J. Grace Kim (ISBI, 2021)

An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images. - Wenxi Yu; Hua Zhou 001; Youngwon Choi; Jonathan G. Goldin; Pangyu Teng; Hyun J. Grace Kim (Computer-Aided Diagnosis, 2021)

A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl. - Benjamin B. Chu; Eric M. Sobel; Rory Wasiolek; Seyoon Ko; Janet S. Sinsheimer; Hua Zhou 001; Kenneth Lange (Bioinform., 2021)

Modern simulation utilities for genetic analysis. - Sarah S. Ji; Christopher A. German; Kenneth Lange; Janet S. Sinsheimer; Hua Zhou 001; Jin Zhou; Eric M. Sobel (BMC Bioinform., 2021)

A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data. - Miao Zhang; Yiwen Liu; Hua Zhou 001; Joseph Watkins; Jin Zhou (BMC Bioinform., 2021)

Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality. - Joong-Ho Won; Hua Zhou 001; Kenneth Lange (SIAM J. Matrix Anal. Appl., 2021)

Extensions to the Proximal Distance Method of Constrained Optimization. - Alfonso Landeros; Oscar Hernan Madrid Padilla; Hua Zhou 001; Kenneth Lange (J. Mach. Learn. Res., 2022)

Bag of little bootstraps for massive and distributed longitudinal data. - Xinkai Zhou; Jin J. Zhou; Hua Zhou 001 (Stat. Anal. Data Min., 2022)

Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions. - Joong-Ho Won; Teng Zhang 002; Hua Zhou 001 (SIAM J. Optim., 2022)

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. - Qiang Heng; Hua Zhou 001; Eric C. Chi (J. Comput. Graph. Stat., 2023)

Multivariate genome-wide association analysis by iterative hard thresholding. - Benjamin B. Chu; Seyoon Ko; Jin J. Zhou; Aubrey Jensen; Hua Zhou 001; Janet S. Sinsheimer; Kenneth Lange (Bioinform., 2023)

An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX. - Yin Li; Weng Kee Wong; Hua Zhou 001; Keumhee Chough Carriere (J. Data Sci. Stat. Vis., 2024)