Oligopoly models for market price of electricity under demand uncertainty and unit reliability. - Lizhi Wang 002; Mainak Mazumdar; Matthew D. Bailey; Jorge Valenzuela (Eur. J. Oper. Res., 2007)

Cutting plane algorithms for the inverse mixed integer linear programming problem. - Lizhi Wang 002 (Oper. Res. Lett., 2009)

Security Constrained Economic Dispatch: A Markov Decision Process Approach with Embedded Stochastic Programming. - Lizhi Wang 002; Nan Kong (Int. J. Oper. Res. Inf. Syst., 2010)

A New Hybrid Inexact Logarithmic-Quadratic Proximal Method for Nonlinear Complementarity Problems. - Ying Zhou; Lizhi Wang 002 (Int. J. Oper. Res. Inf. Syst., 2010)

An optimization approach to gene stacking. - Pan Xu 001; Lizhi Wang 002; William D. Beavis (Eur. J. Oper. Res., 2011)

Heuristic algorithms for the inverse mixed integer linear programming problem. - Zhaoyang Duan; Lizhi Wang 002 (J. Glob. Optim., 2011)

Cap-and-trade vs. carbon taxes: A quantitative comparison from a generation expansion planning perspective. - Yanyi He; Lizhi Wang 002; Jianhui Wang 001 (Comput. Ind. Eng., 2012)

Branch-and-bound algorithms for the partial inverse mixed integer linear programming problem. - Lizhi Wang 002 (J. Glob. Optim., 2013)

An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions. - Pan Xu 001; Lizhi Wang 002 (Comput. Oper. Res., 2014)

Forecasting Plug-In Electric Vehicle Sales and the Diurnal Recharging Load Curve. - Zhaoyang Duan; Brittni Gutierrez; Lizhi Wang 002 (IEEE Trans. Smart Grid, 2014)

A bottom-up biofuel market equilibrium model for policy analysis. - Leilei Zhang; Guiping Hu; Lizhi Wang 002; Yihsu Chen (Ann. Oper. Res., 2016)

The Watermelon Algorithm for The Bilevel Integer Linear Programming Problem. - Lizhi Wang 002; Pan Xu 001 (SIAM J. Optim., 2017)

New algorithms for detecting multi-effect and multi-way epistatic interactions. - Javad Ansarifar; Lizhi Wang 002 (Bioinform., 2019)

Crop Yield Prediction Using Deep Neural Networks. - Saeed Khaki; Lizhi Wang 002 (CoRR, 2019)

A CNN-RNN Framework for Crop Yield Prediction. - Saeed Khaki; Lizhi Wang 002; Sotirios V. Archontoulis (CoRR, 2019)

An optimization approach to epistasis detection. - Lizhi Wang 002; Maryam Nikouei Mehr (Eur. J. Oper. Res., 2019)

Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach. - Saeed Khaki; Zahra Khalilzadeh; Lizhi Wang 002 (CoRR, 2020)

High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks. - Saeed Khaki; Hieu Pham; Ye Han; Wade Kent; Lizhi Wang 002 (CoRR, 2020)

YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data. - Saeed Khaki; Hieu Pham; Lizhi Wang 002 (CoRR, 2020)

Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting. - Saeed Khaki; Hieu Pham; Ye Han; Andy Kuhl; Wade Kent; Lizhi Wang 002 (Sensors, 2020)

DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation. - Saeed Khaki; Hieu Pham; Ye Han; Andy Kuhl; Wade Kent; Lizhi Wang 002 (Knowl. Based Syst., 2021)

Application of the Two-layer Wrapper-Embedded Feature Selection Method to Improve Genomic Selection. - Fatemeh Amini; Guiping Hu; Lizhi Wang 002 (SoSE, 2022)

Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units. - Javad Ansarifar; Faezeh Akhavizadegan; Lizhi Wang 002 (CoRR, 2022)

Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty. - Faezeh Akhavizadegan; Javad Ansarifar; Lizhi Wang 002; Sotirios V. Archontoulis (CoRR, 2022)

WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting. - Saeed Khaki; Nima Safaei; Hieu Pham; Lizhi Wang 002 (Neurocomputing, 2022)

A reinforcement Learning approach to resource allocation in genomic selection. - Saba Moeinizade; Guiping Hu; Lizhi Wang 002 (Intell. Syst. Appl., 2022)

The leave-worst-k-out criterion for cross validation. - Lizhi Wang 002 (Optim. Lett., 2023)

A hybrid deep learning-based approach for optimal genotype by environment selection. - Zahra Khalilzadeh; Motahareh Kashanian; Saeed Khaki; Lizhi Wang 002 (Frontiers Artif. Intell., 2024)