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Research
Research Interests
In the broadest sense, I do research regarding how to bridge operations research and machine learning together for solving complex real-world systems under uncertainty.
Data-Driven Optimization under Uncertainty
Machine Learning
Machine Learning for Combinatorial Optimization (ML4CO) Knowledge and Data-Assisted Metaheuristic Surrogate-Assisted Optimization
Real-world applications in facility location, sensor networks management, routing problems, etc.
Publications
[TON] Yuntian Zhang, Ning Han, Tengteng Zhu, Junjie Zhang, Minghao Ye, Songshi Dou, and Zehua Guo*. Prophet: Traffic Engineering-Centric Traffic Matrix Prediction. IEEE/ACM Transactions on Networking, Accepted, 2023, DOI: 10.1109/TNET.2023.3293098. (CCF A)
[DOCS] Yuntian Zhang, Chen Chen*, Tongyu Wu, Changhao Miao, and Shuxin Ding. Surrogate-Assisted Hybrid Metaheuristic for Mixed-Variable 3-D Deployment Optimization of Directional Sensor Networks. The 5th
International Conference on Data-driven Optimization of Complex Systems (DOCS) 2023.
Preprints
[TETCI] Changhao Miao, Yuntian Zhang, Chen Chen*, and Bin Xin*. Knowledge-Assisted Evolutionary Computation based on Deep Graph Learning for Travelling Salesman Problem. Submitted to IEEE Transactions on Emerging Topics in Computational Intelligence, 2023. (JCR Q2)
[ESWA] Zhao Zhang, Chen Chen*, Yuntian Zhang, and Yulong Ding. Messenger Path Planning in UAV and UGV Coordination Systems for Forest Fire Fighting. Submitted to Expert Systems With Applications, 2023. (JCR Q1)
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