| Multi-objective optimization of the HVAC (heating, ventilation, and air conditioning) system performance X Wei, A Kusiak, M Li, F Tang, Y Zeng Energy 83, 294-306, 2015 | 170 | 2015 |
| Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms Y Zeng, Z Zhang, A Kusiak Energy 86, 393-402, 2015 | 123 | 2015 |
| Modeling and optimization of a wastewater pumping system with data-mining methods Z Zhang, A Kusiak, Y Zeng, X Wei Applied energy 164, 303-311, 2016 | 101 | 2016 |
| Minimizing pump energy in a wastewater processing plant Z Zhang, Y Zeng, A Kusiak Energy 47 (1), 505-514, 2012 | 95 | 2012 |
| The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R Y Zeng, P Breheny arXiv preprint arXiv:1701.05936, 2017 | 68 | 2017 |
| Minimizing energy consumption of an air handling unit with a computational intelligence approach A Kusiak, Y Zeng, G Xu Energy and Buildings 60, 355-363, 2013 | 56 | 2013 |
| Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach A Kusiak, Y Zeng, Z Zhang Engineering Applications of Artificial Intelligence 26 (7), 1643-1651, 2013 | 50 | 2013 |
| Overlapping group logistic regression with applications to genetic pathway selection Y Zeng, P Breheny Cancer Informatics 15, 179-187, 2016 | 48 | 2016 |
| Optimizing wastewater pumping system with data-driven models and a greedy electromagnetism-like algorithm Y Zeng, Z Zhang, A Kusiak, F Tang, X Wei Stochastic environmental research and risk assessment 30, 1263-1275, 2016 | 29 | 2016 |
| A multi-dimensional tabu search algorithm for the optimization of process planning KL Lian, CY Zhang, XY Shao, YH Zeng SCIENCE CHINA Technological Sciences, 1-9, 2011 | 23 | 2011 |
| Hybrid safe–strong rules for efficient optimization in lasso-type problems Y Zeng, T Yang, P Breheny Computational statistics & data analysis 153, 107063, 2021 | 17 | 2021 |
| Package ‘grpreg’ P Breheny, Y Zeng, R Kurth, MP Breheny | 8 | 2024 |
| Regularization paths for regression models with grouped covariates P Breheny, Y Zeng, R Kurth R package version, 3.1-4, 2018 | 7 | 2018 |
| Efficient feature screening for lasso-type problems via hybrid safe-strong rules Y Zeng, P Breheny, T Yang arXiv preprint arXiv:1704.08742 21, 2017 | 4 | 2017 |
| Bioassay of salmeterol in children using methacholine challenge with impulse oscillometry HL Mondal P, Baumstein S, Prabhakaran S, Abu-Hasan M, Zeng Y, Singh S, Wang ... Pediatric Pulmonology, 2015 | 4* | 2015 |
| Effect of Study Design on Sample Size in Studies Intended to Evaluate Bioequivalence of Inhaled Short‐Acting β‐Agonist Formulations Y Zeng, S Singh, K Wang, RC Ahrens The Journal of Clinical Pharmacology 58 (4), 457-465, 2018 | 2 | 2018 |
| Hybrid safe-strong rules for efficient optimization in lasso-type problems Y Zeng, T Yang, P Breheny arXiv preprint arXiv:1704.08742, 2017 | 2 | 2017 |
| Modeling and optimization of industrial systems: data mining and computational intelligence approach Y Zeng The University of Iowa, 2012 | 2 | 2012 |
| Scalable sparse machine learning methods for big data Y Zeng The University of Iowa, 2017 | | 2017 |
| Fit penalized regression models with overlapping grouped variables Y Zeng, P Breheny | | |
Andrew KusiakProfessor of Industrial and Systems Engineering, University of IowaAdresă de e-mail confirmată pe uiowa.edu