Research interests

Education

April 2024 - Now, PhD, Computer Science,
- School of Engineering and Computer Science, Victoria University of Wellington (VUW), Wellington, New Zealand
September 2020 - June 2023, Master, Computer Science and Technology,
- Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
September 2016 - June 2020, Bachelor, Computer Science and Technology,
- Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China

J. Pei, Y. Mei, J. Liu, and M. Zhang, "LiBOG: Lifelong Learning for Black-Box Optimizer Generation", accepted at 34th International Joint Conference on Artificial Intelligence (IJCAI) 2025. Paper Code
J. Pei, Y. Mei, J. Liu, M. Zhang and X. Yao, "Adaptive Operator Selection for Meta-Heuristics: A Survey", IEEE Transactions on Artificial Intelligence (TAI), 2025. DOI: 10.1109/TAI.2025.3545792. Paper
J. Pei, Y. Mei, J. Liu "Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework," in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), ACM, pp. 1017-1025, 2024. (The only one Best Paper Award nomination in L4EC track) Paper
J. Pei, H. Tong, J. Liu, Y. Mei, and X. Yao, "Local Optima Correlation Assisted Adaptive Operator Selection," in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), ACM, pp. 339-347, 2023. Paper
J. Pei, Y. Mei , J. Liu, and X. Yao, “An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem," in Pacific Rim International Conference on Artificial Intelligence (PRICAI), Springer, pp. 562-573, 2022. Paper
J. Pei, C. Hu, J. Liu, Y. Mei and X. Yao, “Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access,” in IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 01-09, 2021. Paper