Lizhi Wang

Orcid: 0000-0002-5527-4047

Affiliations:
  • Oklahoma State University, USA
  • Iowa State University, Ames, IA, USA (former)


According to our database1, Lizhi Wang authored at least 28 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
A hybrid deep learning-based approach for optimal genotype by environment selection.
Frontiers Artif. Intell., 2024

2023
The leave-worst-k-out criterion for cross validation.
Optim. Lett., April, 2023

2022
A reinforcement Learning approach to resource allocation in genomic selection.
Intell. Syst. Appl., 2022

WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting.
Neurocomputing, 2022

Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty.
CoRR, 2022

Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units.
CoRR, 2022

Application of the Two-layer Wrapper-Embedded Feature Selection Method to Improve Genomic Selection.
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022

2021
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation.
Knowl. Based Syst., 2021

2020
Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting.
Sensors, 2020

YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data.
CoRR, 2020

High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks.
CoRR, 2020

Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach.
CoRR, 2020

2019
An optimization approach to epistasis detection.
Eur. J. Oper. Res., 2019

A CNN-RNN Framework for Crop Yield Prediction.
CoRR, 2019

Crop Yield Prediction Using Deep Neural Networks.
CoRR, 2019

New algorithms for detecting multi-effect and multi-way epistatic interactions.
Bioinform., 2019

2017
The Watermelon Algorithm for The Bilevel Integer Linear Programming Problem.
SIAM J. Optim., 2017

2016
A bottom-up biofuel market equilibrium model for policy analysis.
Ann. Oper. Res., 2016

2014
Forecasting Plug-In Electric Vehicle Sales and the Diurnal Recharging Load Curve.
IEEE Trans. Smart Grid, 2014

An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions.
Comput. Oper. Res., 2014

2013
Branch-and-bound algorithms for the partial inverse mixed integer linear programming problem.
J. Glob. Optim., 2013

2012
Cap-and-trade vs. carbon taxes: A quantitative comparison from a generation expansion planning perspective.
Comput. Ind. Eng., 2012

2011
Heuristic algorithms for the inverse mixed integer linear programming problem.
J. Glob. Optim., 2011

An optimization approach to gene stacking.
Eur. J. Oper. Res., 2011

2010
A New Hybrid Inexact Logarithmic-Quadratic Proximal Method for Nonlinear Complementarity Problems.
Int. J. Oper. Res. Inf. Syst., 2010

Security Constrained Economic Dispatch: A Markov Decision Process Approach with Embedded Stochastic Programming.
Int. J. Oper. Res. Inf. Syst., 2010

2009
Cutting plane algorithms for the inverse mixed integer linear programming problem.
Oper. Res. Lett., 2009

2007
Oligopoly models for market price of electricity under demand uncertainty and unit reliability.
Eur. J. Oper. Res., 2007


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