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ORCIDHua Zhou 0001
Person information
- affiliation: University of California, UCLA, Department of Biostatistics, Los Angeles, USA
- affiliation: North Carolina State University, Department of Statistics, Raleigh, NC, USA
- affiliation: University of California, UCLA, Department of Human Genetics, Los Angeles, CA, USA
Other persons with the same name
- Hua Zhou — disambiguation page
- Hua Zhou 0002
![[0000-0001-8762-9773]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8762-9773")
— Army Engineering University of PLA, College of Communication Engineering, Nanjing, China - Hua Zhou 0003 — Macau University of Science and Technology, State Key Laboratory of Quality Research in Chinese Medicine, China
- Hua Zhou 0004 — Tsinghua University, Center for Combustion Energy, Beijing, China
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2020 – today
- 2024
[j25]Yin Li, Weng Kee Wong, Hua Zhou, Keumhee Chough Carriere:
An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX. J. Data Sci. Stat. Vis. 4(3) (2024)- 2023
- [j24]Benjamin B. Chu, Seyoon Ko, Jin J. Zhou, Aubrey Jensen, Hua Zhou, Janet S. Sinsheimer, Kenneth Lange:
Multivariate genome-wide association analysis by iterative hard thresholding. Bioinform. 39(4) (2023) - [j23]Qiang Heng, Hua Zhou, Eric C. Chi:
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. J. Comput. Graph. Stat. 32(3): 938-949 (2023) - 2022
- [j22]Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, Kenneth Lange:
Extensions to the Proximal Distance Method of Constrained Optimization. J. Mach. Learn. Res. 23: 182:1-182:45 (2022) - [j21]Xinkai Zhou, Jin J. Zhou, Hua Zhou:
Bag of little bootstraps for massive and distributed longitudinal data. Stat. Anal. Data Min. 15(3): 314-321 (2022) - [j20]Joong-Ho Won, Teng Zhang, Hua Zhou:
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions. SIAM J. Optim. 32(3): 2180-2207 (2022) - 2021
- [j19]Benjamin B. Chu, Eric M. Sobel, Rory Wasiolek, Seyoon Ko, Janet S. Sinsheimer, Hua Zhou, Kenneth Lange:
A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl. Bioinform. 37(24): 4756-4763 (2021) - [j18]Sarah S. Ji, Christopher A. German, Kenneth Lange, Janet S. Sinsheimer, Hua Zhou, Jin Zhou, Eric M. Sobel:
Modern simulation utilities for genetic analysis. BMC Bioinform. 22(1): 228 (2021) - [j17]Miao Zhang, Yiwen Liu, Hua Zhou, Joseph Watkins, Jin Zhou:
A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data. BMC Bioinform. 22(1): 348 (2021) - [j16]Joong-Ho Won, Hua Zhou, Kenneth Lange:
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality. SIAM J. Matrix Anal. Appl. 42(2): 859-882 (2021) - [c6]Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Hyun J. Grace Kim:
Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF). ISBI 2021: 1777-1780 - [c5]Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Pangyu Teng, Hyun J. Grace Kim:
An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images. Computer-Aided Diagnosis 2021 - 2020
- [j15]Eric C. Chi, Brian J. Gaines, Will Wei Sun, Hua Zhou, Jian Yang:
Provable Convex Co-clustering of Tensors. J. Mach. Learn. Res. 21: 214:1-214:58 (2020) - [j14]Joshua Day, Hua Zhou:
OnlineStats.jl: A Julia package for statistics on data streams. J. Open Source Softw. 5(46): 1816 (2020) - [j13]Ilse C. F. Ipsen, Hua Zhou:
Probabilistic Error Analysis for Inner Products. SIAM J. Matrix Anal. Appl. 41(4): 1726-1741 (2020) - [j12]Wei Hu, Weining Shen, Hua Zhou, Dehan Kong:
Matrix Linear Discriminant Analysis. Technometrics 62(2): 196-205 (2020) - [c4]Wenxi Yu, Hua Zhou, Jonathan G. Goldin, Hyun J. Grace Kim:
Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract). AAAI 2020: 13979-13980 - [i3]Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, Kenneth Lange:
Extensions to the Proximal Distance of Method of Constrained Optimization. CoRR abs/2009.00801 (2020) - [i2]Seyoon Ko, Hua Zhou, Jin Zhou, Joong-Ho Won:
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia. CoRR abs/2010.16114 (2020)
2010 – 2019
- 2019
- [j11]Kevin L. Keys, Hua Zhou, Kenneth Lange:
Proximal Distance Algorithms: Theory and Practice. J. Mach. Learn. Res. 20: 66:1-66:38 (2019) - [i1]Ilse C. F. Ipsen, Hua Zhou:
Probabilistic Error Analysis for Inner Products. CoRR abs/1906.10465 (2019) - 2018
- [j10]Juhyun Kim, Yiwen Zhang, Joshua Day, Hua Zhou:
MGLM: An R Package for Multivariate Categorical Data Analysis. R J. 10(1): 73 (2018) - 2017
- [c3]Bo Zhang, Hua Zhou, Liwei Wang, Chul Sung:
Classification based on neuroimaging data by tensor boosting. IJCNN 2017: 1174-1179 - 2015
- [j9]Hua Zhou, Kenneth Lange:
Path following in the exact penalty method of convex programming. Comput. Optim. Appl. 61(3): 609-634 (2015) - 2014
- [j8]Kenneth Lange, Hua Zhou:
MM algorithms for geometric and signomial programming. Math. Program. 143(1-2): 339-356 (2014) - [j7]Eric C. Chi, Hua Zhou, Kenneth Lange:
Distance majorization and its applications. Math. Program. 146(1-2): 409-436 (2014) - 2013
- [j6]Kenneth Lange, Jeanette C. Papp, Janet S. Sinsheimer, Ram Sripracha, Hua Zhou, Eric M. Sobel:
Mendel: the Swiss army knife of genetic analysis programs. Bioinform. 29(12): 1568-1570 (2013) - [c2]Eric C. Chi, Genevera I. Allen, Hua Zhou, Omid Kohannim, Kenneth Lange, Paul M. Thompson:
Imaging genetics via sparse canonical correlation analysis. ISBI 2013: 740-743 - 2012
- [j5]Hongjie Zhu, Lexin Li, Hua Zhou:
Nonlinear dimension reduction with Wright-Fisher kernel for genotype aggregation and association mapping. Bioinform. 28(18): 375-381 (2012) - [j4]Hua Zhou, Yiwen Zhang:
EM vs MM: A case study. Comput. Stat. Data Anal. 56(12): 3909-3920 (2012) - 2011
- [j3]Hua Zhou, Kenneth Lange:
A fast procedure for calculating importance weights in bootstrap sampling. Comput. Stat. Data Anal. 55(1): 26-33 (2011) - [j2]Hua Zhou, David H. Alexander, Kenneth Lange:
A quasi-Newton acceleration for high-dimensional optimization algorithms. Stat. Comput. 21(2): 261-273 (2011) - [c1]Hua Zhou, David H. Alexander, Mary E. Sehl, Janet S. Sinsheimer, Kenneth Lange:
Penalized Regression for Genome-Wide Association Screening of Sequence Data. Pacific Symposium on Biocomputing 2011: 106-117 - 2010
- [j1]Hua Zhou, Mary E. Sehl, Janet S. Sinsheimer, Kenneth Lange:
Association screening of common and rare genetic variants by penalized regression. Bioinform. 26(19): 2375-2382 (2010)
Coauthor Index
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