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ORCIDLizhi Wang 0002
Person information
- affiliation: Oklahoma State University, USA
- affiliation (former): Iowa State University, Ames, IA, USA
Other persons with the same name
- Lizhi Wang — disambiguation page
- Lizhi Wang 0001
![[0000-0002-1953-3339]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1953-3339")
— Beijing Institute of Technology, School of Computer, Beijing, China (and 2 more) - Lizhi Wang 0003 — Sichuan University, Chengdu, China
- Lizhi Wang 0004 — Beihang University, Beijing, China
- Lizhi Wang 0005 — Stony Brook University, Stony Brook, NY, USA
- Lizhi Wang 0006 — University of California, Irvine, CA, USA
- Lizhi Wang 0007 — Henan Agricultural University, Zhengzhou, China
- Lizhi Wang 0009 — Xi'an High-Tech Research Institution, Xi'an, China
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Journal Articles
- 2023
[j19]Lizhi Wang:
The leave-worst-k-out criterion for cross validation. Optim. Lett. 17(3): 545-560 (2023)- 2022
- [j18]Saeed Khaki, Nima Safaei, Hieu Pham, Lizhi Wang:
WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting. Neurocomputing 489: 78-89 (2022) - [j17]Saba Moeinizade, Guiping Hu, Lizhi Wang:
A reinforcement Learning approach to resource allocation in genomic selection. Intell. Syst. Appl. 14: 200076 (2022) - 2021
- [j16]Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang:
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation. Knowl. Based Syst. 218: 106874 (2021) - 2020
- [j15]Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang:
Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting. Sensors 20(9): 2721 (2020) - 2019
- [j14]Javad Ansarifar, Lizhi Wang:
New algorithms for detecting multi-effect and multi-way epistatic interactions. Bioinform. 35(24): 5078-5085 (2019) - [j13]Lizhi Wang, Maryam Nikouei Mehr:
An optimization approach to epistasis detection. Eur. J. Oper. Res. 274(3): 1069-1076 (2019) - 2017
- [j12]Lizhi Wang, Pan Xu:
The Watermelon Algorithm for The Bilevel Integer Linear Programming Problem. SIAM J. Optim. 27(3): 1403-1430 (2017) - 2016
- [j11]Leilei Zhang, Guiping Hu, Lizhi Wang, Yihsu Chen:
A bottom-up biofuel market equilibrium model for policy analysis. Ann. Oper. Res. 236(1): 75-101 (2016) - 2014
- [j10]Pan Xu, Lizhi Wang:
An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions. Comput. Oper. Res. 41: 309-318 (2014) - [j9]Zhaoyang Duan, Brittni Gutierrez, Lizhi Wang:
Forecasting Plug-In Electric Vehicle Sales and the Diurnal Recharging Load Curve. IEEE Trans. Smart Grid 5(1): 527-535 (2014) - 2013
- [j8]Lizhi Wang:
Branch-and-bound algorithms for the partial inverse mixed integer linear programming problem. J. Glob. Optim. 55(3): 491-506 (2013) - 2012
- [j7]Yanyi He, Lizhi Wang, Jianhui Wang:
Cap-and-trade vs. carbon taxes: A quantitative comparison from a generation expansion planning perspective. Comput. Ind. Eng. 63(3): 708-716 (2012) - 2011
- [j6]Pan Xu, Lizhi Wang, William D. Beavis:
An optimization approach to gene stacking. Eur. J. Oper. Res. 214(1): 168-178 (2011) - [j5]Zhaoyang Duan, Lizhi Wang:
Heuristic algorithms for the inverse mixed integer linear programming problem. J. Glob. Optim. 51(3): 463-471 (2011) - 2010
- [j4]Lizhi Wang, Nan Kong:
Security Constrained Economic Dispatch: A Markov Decision Process Approach with Embedded Stochastic Programming. Int. J. Oper. Res. Inf. Syst. 1(2): 1-16 (2010) - [j3]Ying Zhou, Lizhi Wang:
A New Hybrid Inexact Logarithmic-Quadratic Proximal Method for Nonlinear Complementarity Problems. Int. J. Oper. Res. Inf. Syst. 1(3): 1-13 (2010) - 2009
- [j2]Lizhi Wang:
Cutting plane algorithms for the inverse mixed integer linear programming problem. Oper. Res. Lett. 37(2): 114-116 (2009) - 2007
- [j1]Lizhi Wang, Mainak Mazumdar, Matthew D. Bailey, Jorge Valenzuela:
Oligopoly models for market price of electricity under demand uncertainty and unit reliability. Eur. J. Oper. Res. 181(3): 1309-1321 (2007)
Conference and Workshop Papers
- 2022
- [c1]Fatemeh Amini, Guiping Hu, Lizhi Wang:
Application of the Two-layer Wrapper-Embedded Feature Selection Method to Improve Genomic Selection. SoSE 2022: 232-237
Informal and Other Publications
- 2023
- [i12]Zahra Khalilzadeh, Motahareh Kashanian, Saeed Khaki, Lizhi Wang:
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection. CoRR abs/2309.13021 (2023) - 2022
- [i11]Javad Ansarifar, Faezeh Akhavizadegan, Lizhi Wang:
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units. CoRR abs/2207.00745 (2022) - [i10]Faezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang, Sotirios V. Archontoulis:
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty. CoRR abs/2208.04840 (2022) - 2021
- [i9]Saeed Khaki, Nima Safaei, Hieu Pham, Lizhi Wang:
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting. CoRR abs/2103.09408 (2021) - [i8]Saba Moeinizade, Guiping Hu, Lizhi Wang:
A reinforcement learning approach to resource allocation in genomic selection. CoRR abs/2107.10901 (2021) - 2020
- [i7]Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang:
Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach. CoRR abs/2001.09902 (2020) - [i6]Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang:
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting. CoRR abs/2003.12025 (2020) - [i5]Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang:
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation. CoRR abs/2007.10521 (2020) - [i4]Saeed Khaki, Hieu Pham, Ye Han, Wade Kent, Lizhi Wang:
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks. CoRR abs/2010.12552 (2020) - [i3]Saeed Khaki, Hieu Pham, Lizhi Wang:
YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data. CoRR abs/2012.03129 (2020) - 2019
- [i2]Saeed Khaki, Lizhi Wang:
Crop Yield Prediction Using Deep Neural Networks. CoRR abs/1902.02860 (2019) - [i1]Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis:
A CNN-RNN Framework for Crop Yield Prediction. CoRR abs/1911.09045 (2019)
Coauthor Index
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