GUO Yuhan
Education Background
Université Lille Nord de France (France), Doctor of Computer and Automation, Sep 2009-Jan 2013
Harbin Institute of Technology (China), Master of Software Engineering, Sep 2007-Jul 2009
Université Bordeaux 1 (France), Master of Industrial Engineering, Sep 2007-Jul 2009
Harbin Institute of Technology (China), Bachelor of Computer Science, Sep 2001-Jul 2005
Work Background
Zhejiang University of Science and Technology, School of Artificial Intelligence and Information Engineering, Associate Professor (Master Tutor), May 2025-Present
Zhejiang University of Science and Technology, School of Science, Associate Professor (Master Tutor), Aug 2021-Apr 2025
Liaoning Technical University, School of Software, Associate Professor (Master Tutor), Jan 2015-Jul 2021
Laboratory of Information and Automation of Arras (France), Post-Doc, Jan 2013-Dec 2014
Email: 65911969@qq.com
Main Research Interests
1. Artificial Intelligence and Big Data Application in Transportation and Logistics
2. Intelligent Algorithm Design and Implementation in Supply Chain Management
3. Trustworthy Artificial Intelligence Algorithm Design
Main Research Projects
[1] Research on the Construction of Carbon Trading Green Supply Chain Network Based on Large Language Models and Cloud Technology, Provincial Natural Science Foundation, Jan 2025 – Dec 2027.
[2] Research on Collaborative Optimization of Green Supply Chains for Small and Medium-Sized Manufacturing Enterprises Based on Machine Learning, Provincial Natural Science Foundation, Guidance Program, Oct 2019 – Sep 2022.
[3] Research on Green Supply Chain Network Construction Based on Multi-Operator Adaptive Genetic Algorithm, Provincial Natural Science Foundation, Jul 2015 – Jun 2017.
[4] Research on Dynamic Ridesharing Partner Matching with Spatiotemporal Density Weighting, Provincial Department of Education, Sep 2019 – Aug 2021.
[5] Research on an Autonomous Solving Platform for Green Supply Chain Network Construction Based on Machine Learning, Provincial Department of Education, Jul 2016 – Jun 2019.
[6] Prediction Methods and Applications of Coal and Gas Outburst Based on Big Data, National Natural Science Foundation of China, Jan 2018 – Dec 2022.
[7] Research on Toponym Matching and Retrieval Methods Based on Semantic Mining, National Natural Science Foundation of China, Jan 2016 – Dec 2016.
[8] Research on Data Mining-Based Risk Assessment System for Coal Mine Safety, National Natural Science Foundation of China, Jan 2014 – Dec 2017.
[9] Research on Automatic Identification of Custom Instructions to Improve High-Level Synthesis Efficiency, National Natural Science Foundation of China, Jan 2014 – Dec 2016.
[10] Research and Implementation of Resource Allocation Optimization for Local Enterprises Based on Highly Coupled Big Data, Provincial Department of Education, Jul 2020 – Jun 2023.
Main Published Papers
Published 40+ papers in prestigious journals and conferences (https://orcid.org/0000-0002-6855-0338)
[1] Guo, Y., Chen, R., Boulaksil, Y., & Allaoui, H. (2025). Modelling and solving sustainable supply chain network design based on graph autoencoder clustering algorithm. International Journal of Production Research. (SCI, JCR Q1, TOP)
[2] Guo, Y., Zhu, R., Li, W., Boulaksil, Y., & Allaoui, H. (2025). Dynamic pick-up point recommendation with multi-modal deep forest and incentive-based adaptive Kuhn-Munkres Algorithm. Knowledge-Based Systems. (SCI, JCR Q1, TOP)
[3] Guo, Y., Li, W., Xiao, L., & Allaoui, H. (2024). A prediction-based iterative Kuhn-Munkres approach for service vehicle reallocation in ride-hailing. International Journal of Production Research. (SCI, JCR Q1, TOP)
[4] Guo, Y., Li, J., Xiao, L., Allaoui, H., Choudhary, A., & Zhang, L. (2024). Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework. Transportation Research Part E: Logistics and Transportation Review. (SCI, JCR Q1, TOP)
[5] Guo, Y., Li, W., Xiao, L., Choudhary, A., & Allaoui, H. (2024). Enhancing efficiency and interpretability: A multi-objective dispatching strategy for autonomous service vehicles in ride-hailing. Computers & Industrial Engineering. (SCI, JCR Q1)
[6] Guo, Y., Chen, T., Boulaksil, Y., Xiao, L., & Allaoui, H. (2023). Collaborative planning of multi-tier sustainable supply chains: A reinforcement learning enhanced heuristic approach. Computers & Industrial Engineering. (SCI, JCR Q1)
[7] Guo, Y., Zhang, Y., Boulaksil, Y., Qian, Y., & Allaoui, H. (2023). Modelling and analysis of online ride-sharing platforms – A sustainability perspective. European Journal of Operational Research. (SCI, JCR Q1, TOP)
[8] Guo, Y., Zhang, Y., Boulaksil, Y., & Tian, N. (2022). Multi-dimensional spatiotemporal demand forecasting and service vehicle dispatching for online car-hailing platforms. International Journal of Production Research. (SCI, JCR Q1, TOP)
[9] Guo, Y., Yu, J., & Allaoui, H. (2022). Lateral collaboration with cost-sharing in sustainable supply chain optimization: A combinatorial framework. Transportation Research Part E: Logistics and Transportation Review. (SCI, JCR Q1, TOP)
[10] Guo, Y., Zhang, Y., & Boulaksil, Y. (2021). Real-time ride-sharing framework with dynamic timeframe and anticipation-based migration. European Journal of Operational Research. (SCI, JCR Q1, TOP)
[11] Guo, Y., Yu, J., Boulaksil, Y., Allaoui, H., & Hu, F. (2021). Solving the sustainable supply chain network design problem by the multi-neighborhood descent traversal algorithm. Computers & Industrial Engineering. (SCI, JCR Q1)
[12] Allaoui, H., Guo, Y., & Sarkis, J. (2019). Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production. (SCI, JCR Q1, TOP)
[13] Allaoui, H., Guo, Y., Choudhary, A., & Bloemhof, J. (2018). Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach. Computers & Operations Research. (SCI, JCR Q1, TOP)
[14] Guo, Y., Hu, F., Allaoui, H., & Boulaksil, Y. (2019). A distributed approximation approach for solving the sustainable supply chain network design problem. International Journal of Production Research. (SCI, JCR Q1, TOP)
[15] Guo, Y. (2024). Machine learning algorithms and practice. China Machine Press.
