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Mingliang Wang
Mingliang Wang
Software Engineer, Google Inc.
Verified email at google.com
Title
Cited by
Cited by
Year
Deep & cross network for ad click predictions
R Wang, B Fu, G Fu, M Wang
Proceedings of the ADKDD'17, 1-7, 2017
10902017
Evolutionary artificial potential fields and their application in real time robot path planning
P Vadakkepat, KC Tan, W Ming-Liang
Proceedings of the 2000 congress on evolutionary computation. CEC00 (Cat. No …, 2000
4902000
Solving sparse linear systems on NVIDIA Tesla GPUs
M Wang, H Klie, M Parashar, H Sudan
Computational Science–ICCS 2009, 864-873, 2009
572009
A p2p genetic algorithm environment for the internet
KC Tan, ML Wang, W Peng
Communications of the ACM 48 (4), 113-116, 2005
232005
Evolutionary algorithm with dynamic population size for multi-objective optimization
EF Khor, KC Tan, ML Wang, TH Lee
2000 26th Annual Conference of the IEEE Industrial Electronics Society …, 2000
162000
Growth and yield models for second/third rotation loblolly pine plantations in the Piedmont/Upper Coastal Plain and Lower Coastal Plain of the southeastern US
BE Borders, D Zhao, M Wang, M Kane
University of Georgia, PMRC Technical Report 1, 49, 2014
132014
Object-oriented stream programming using aspects
M Wang, M Parashar
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
132010
Survival model for fusiform rust infected loblolly pine plantations with and without mid-rotation understorey vegetation control
D Zhao, B Borders, M Wang
Forest ecology and management 235 (1-3), 232-239, 2006
132006
Examining the gain in model prediction accuracy using serial autocorrelation for dominant height prediction
M Wang, J Bhatti, Y Wang, T Varem-Sanders
Forest science 57 (3), 241-251, 2011
112011
Rethinking maximum stand basal area and maximum SDI from the aspect of stand dynamics
D Zhao, BP Bullock, CR Montes, M Wang
Forest Ecology and Management 475, 118462, 2020
102020
Direct variance-covariance modeling as an alternative to the traditional guide curve approach for prediction of dominant heights
M Wang, MB Kane, BE Borders, D Zhao
Forest science 60 (4), 652-662, 2014
82014
Correlation-regression analysis for understanding dominant height projection accuracy
M Wang, MB Kane, D Zhao
Forest Science 69 (1), e1-e10, 2023
72023
Production, tree size inequality and growth dominance in loblolly pine plantations under different silvicultural management regimes
D Zhao, BP Bullock, CR Montes, M Wang
Forest Ecology and Management 526, 120594, 2022
62022
Research on nonlinear height-diameter models
W Ming-liang, LI Xi-fei
林业科学研究 13 (1), 75-79, 2012
52012
Parameter Estimation of Base-Age Invariant Site Index Models: Which Data Structure to Use?—Reply
M Wang, BE Borders, D Zhao
Forest science 54 (2), 129-133, 2008
52008
Effects of intensive fertilization, complete competition control and site quality on aboveground net primary production (ANPP) dynamics of loblolly pine plantations
D Zhao, CR Montes, BP Bullock, M Wang, WD Greene, B Borders
Forest Ecology and Management 506, 119986, 2022
42022
An empirical examination of dominant height projection accuracy using difference equation models
M Wang, CR Montes, BP Bullock, D Zhao
Forest Science 66 (3), 267-274, 2020
42020
Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm
L Fu, M Wang, Y Lei, S Tang
Computational statistics & data analysis 69, 173-183, 2014
42014
Enhancement of image-to-image co-registration accuracy using spectral matching methods
K Rennolls, M Wang
Warnell school of forest resources, UGA, USA, 2006
42006
Plotting Johnson’s SB Distribution using a new parameterization
K Rennolls, M Wang
Canadian Journal of Forest Research 35, 575-579, 2005
42005
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