Project 1
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Project 2
This is a description of the second project.
publications
Elite-Guided Multi-Objective Cuckoo Search Algorithm Based on Crossover Operation and Information Enhancement
Published in Soft Computing, 2023
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Recommended citation: Xunian Yang, Xiaochen Hao, Tianqi Yang, Yonghang Li, Yuxuan Zhang, Junwei Wang, "Elite-Guided Multi-Objective Cuckoo Search Algorithm Based on Crossover Operation and Information Enhancement." Soft Computing, 2023.
Collaborative Optimization Decision Making of Cement Grinding Process Operational Indicators Considering Dual Dynamic Problem
Published in Applied Soft Computing, 2024
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Recommended citation: Yonghang Li, Tianqi Yang, Xiaochen Hao, Jieguang Yang, Quanwei Sun, "Collaborative Optimization Decision Making of Cement Grinding Process Operational Indicators Considering Dual Dynamic Problem." Applied Soft Computing, 2024.
DOU-DCGAN: Optimization of Cement Grinding Operational Metrics in a Dynamic Environment
Published in Powder Technology, 2024
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Recommended citation: Xiaochen Hao, Yangdong Su, Yonghang Li, Junze Jiao, Boxun Li, "DOU-DCGAN: Optimization of Cement Grinding Operational Metrics in a Dynamic Environment." Powder Technology, 2024.
Enhancing Cement Clinker Quality Prediction through Integrated Convolutional and Recurrent Neural Networks with Adversarial Data Augmentation
Published in Engineering Research Express, 2025
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Recommended citation: Yonghang Li, Xin Shi, Xiaochen Hao, Gaolu Huang, "Enhancing Cement Clinker Quality Prediction through Integrated Convolutional and Recurrent Neural Networks with Adversarial Data Augmentation." Engineering Research Express, 2025.
MSHDF-SSAM: A Cement Specific Surface Area Monitoring Model Based on Multi-Source Heterogeneous Data Fusion Method
Published in Measurement Science and Technology, 2025
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Recommended citation: Xunian Yang, Yonghang Li, Xingzhi Zheng, Libin Wei, Xiaochen Hao, "MSHDF-SSAM: A Cement Specific Surface Area Monitoring Model Based on Multi-Source Heterogeneous Data Fusion Method." Measurement Science and Technology, 2025.
MSTFormer: A Novel Long-Term Time Series Prediction Model for Electricity Consumption in the Cement Calcination Process
Published in Chemical Engineering Science, 2025
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Recommended citation: Xiaochen Hao, Yuqiang Qiu, Yonghang Li, Xunian Yang, "MSTFormer: A Novel Long-Term Time Series Prediction Model for Electricity Consumption in the Cement Calcination Process." Chemical Engineering Science, 2025.