An Optimization Model for Advanced Biofuel Production Based on Bio-oil Gasification. - Qi Li; Guiping Hu (APMS (1), 2013)

A Sequential Fast Pyrolysis Facility Location-Allocation Model. - Yihua Li; Guiping Hu (APMS (1), 2013)

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

Shop floor lot-sizing and scheduling with a two-stage stochastic programming model considering uncertain demand and workforce efficiency. - Yihua Li; Guiping Hu (Comput. Ind. Eng., 2017)

A multi-stage stochastic programming for lot-sizing and scheduling under demand uncertainty. - Zhengyang Hu 004; Guiping Hu (Comput. Ind. Eng., 2018)

Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems. - Mohsen Shahhosseini; Guiping Hu; Hieu Pham (CoRR, 2019)

Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms. - Mohsen Shahhosseini; Rafael A. Martinez-Feria; Guiping Hu; Sotirios V. Archontoulis (CoRR, 2019)

Hub relay network design for daily driver routes. - Zhengyang Hu 004; Ronald G. Askin; Guiping Hu (Int. J. Prod. Res., 2019)

A two-stage stochastic programming model for multi-period reverse logistics network design with lot-sizing. - Vahid Azizi 004; Guiping Hu; Mahsa Mokari (Comput. Ind. Eng., 2020)

Forecasting Corn Yield with Machine Learning Ensembles. - Mohsen Shahhosseini; Guiping Hu; Sotirios V. Archontoulis (CoRR, 2020)

A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net. - Fatemeh Amini; Guiping Hu (CoRR, 2020)

Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt. - Mohsen Shahhosseini; Guiping Hu; Sotirios V. Archontoulis; Isaiah Huber (CoRR, 2020)

Improved Weighted Random Forest for Classification Problems. - Mohsen Shahhosseini; Guiping Hu (CoRR, 2020)

Hybrid stochastic and robust optimization model for lot-sizing and scheduling problems under uncertainties. - Zhengyang Hu 004; Guiping Hu (Eur. J. Oper. Res., 2020)

A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery. - Luning Bi; Guiping Hu; Muhammad Mohsin Raza; Yuba Kandel; Leonor Leandro; Daren Mueller (Remote. Sens., 2020)

Corn Yield Prediction with Ensemble CNN-DNN. - Mohsen Shahhosseini; Guiping Hu; Saeed Khaki; Sotirios V. Archontoulis (CoRR, 2021)

An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions. - Saba Moeinizade; Hieu Pham; Ye Han; Austin Dobbels; Guiping Hu (CoRR, 2021)

A two-layer feature selection method using Genetic Algorithm and Elastic Net. - Fatemeh Amini; Guiping Hu (Expert Syst. Appl., 2021)

A genetic algorithm-assisted deep learning approach for crop yield prediction. - Luning Bi; Guiping Hu (Soft Comput., 2021)

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

A random forest algorithm to understand the regulating factors for tea leave decomposition in agroecosystems. - Parvin Mohammadiarvejeh; Teresa E. Middleton; Marshall D. McDaniel; Guiping Hu (SoSE, 2022)

Integrating Crop Simulation and Machine Learning Models to Improve Crop Yield Prediction. - Saiara Samira Sajid; Isaiah Huber; Sotirios Archontoulis; Guiping Hu (SoSE, 2022)

From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection. - Baomin Wang; Geng Hu; Dan Chen; Lihua Hu; Cheng Li; Yu An; Guiping Hu; Guang Jia (CoRR, 2022)

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

COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm. - Luning Bi; Mohammad Fili; Guiping Hu (Neural Comput. Appl., 2022)

Ten simple rules to ruin a collaborative environment. - Carolyn J. Lawrence-Dill; Robyn L. Allscheid; Albert Boaitey; Todd Bauman; Edward S. Buckler IV; Jennifer L. Clarke; Christopher Cullis; Jack Dekkers; Cassandra J. Dorius; Shawn F. Dorius; David Ertl; Matthew Homann; et al. (PLoS Comput. Biol., 2022)

From WSI-level to patch-level: Structure prior-guided binuclear cell fine-grained detection. - Geng Hu; Baomin Wang; Boxian Hu; Dan Chen; Lihua Hu; Cheng Li; Yu An; Guiping Hu; Guang Jia (Medical Image Anal., 2023)

A classification algorithm based on dynamic ensemble selection to predict mutational patterns of the envelope protein in HIV-infected patients. - Mohammad Fili; Guiping Hu; Changze Han; Alexa Kort; John Trettin; Hillel Haim (Algorithms Mol. Biol., 2023)

Llama-Time: Fine-Tuning a Large Language Model for Advanced Time Series Prediction. - Sina Aghakhani; Guiping Hu (SOLI, 2024)

An Exploration of Demographic and Psychosocial Indicators of Centenarian Survivorship. - Samaneh Rezaeimanesh; Mohammad Fili; Guiping Hu; Alex Bishop (SOLI, 2024)

Mapping the Evolutionary Space of SARS-CoV-2 Variants to Anticipate Emergence of Subvariants Resistant to COVID-19 Therapeutics. - Roberth Anthony Rojas Chávez; Mohammad Fili; Changze Han; Syed A. Rahman; Isaiah G. L. Bicar; Sullivan Gregory; Annika Helverson; Guiping Hu; Benjamin W. Darbro; Jishnu Das; Grant D. Brown; Hillel Haim (PLoS Comput. Biol., 2024)

Validation of scenario generation for decision-making using machine learning prediction models. - Görkem Emirhüseyinoglu; Mohsen Shahhosseini; Guiping Hu; Sarah M. Ryan (Optim. Lett., 2024)

Viral escape-inspired framework for structure-guided dual bait protein biosensor design. - Yee Chuen Teoh; Mohammed Sakib Noor; Sina Aghakhani; Jack Girton; Guiping Hu; Ratul Chowdhury (PLoS Comput. Biol., 2025)