2025

1. NeurIPS

   

   FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization

   XunZhao Yu

   Advances in Neural Information Processing Systems 39 (NeurIPS), 2025

   Bib HTML

   @article{Yu:2025:FSEO,
     title = {FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization},
     author = {Yu, XunZhao},
     journal = {Advances in Neural Information Processing Systems 39 (NeurIPS)},
     year = {2025}
   }

2023

1. TCYB

   

   Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm

   XunZhao Yu, Yan Wang, Ling Zhu, and 2 more authors

   IEEE Transactions on Cybernetics, 2023

   Bib HTML

   @article{Yu:2023:SAB-DE,
     title = {Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm},
     author = {Yu, XunZhao and Wang, Yan and Zhu, Ling and Filev, Dimitar and Yao, Xin},
     journal = {IEEE Transactions on Cybernetics},
     year = {2023},
     volume = {54},
     number = {6},
     pages = {3832--3845},
     publisher = {IEEE}
   }

2022

1. APEN

   

   Internal Combustion Engine Calibration Using Optimization Algorithms

   XunZhao Yu, Yan Wang, Ling Zhu, and 2 more authors

   Applied Energy, 2022

   Bib HTML

   @article{Yu:2022:ECS,
     title = {Internal Combustion Engine Calibration Using Optimization Algorithms},
     author = {Yu, XunZhao and Wang, Yan and Zhu, Ling and Filev, Dimitar and Yao, Xin},
     journal = {Applied Energy},
     year = {2022},
     volume = {305},
     pages = {117894},
     publisher = {Elsevier}
   }

2019

1. SSCI

   Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization

   XunZhao Yu, Yan Wang, Ling Zhu, and 2 more authors

   In Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019

   Bib HTML

   @inproceedings{Yu:2019:OREA,
     title = {Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization},
     author = {Yu, XunZhao and Wang, Yan and Zhu, Ling and Filev, Dimitar and Yao, Xin},
     booktitle = {Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI)},
     year = {2019},
     pages = {2058--2065}
   }

Unpublished Research

2025

1. LORA-MaOO: Learning Ordinal Relations and Angles for Expensive Many-Objective Optimization

   XunZhao Yu and MiQing Li

   Under Review, 2025

   Bib

   @article{Yu:2025:LORA-MaOO,
     title = {LORA-MaOO: Learning Ordinal Relations and Angles for Expensive Many-Objective Optimization},
     author = {Yu, XunZhao and Li, MiQing},
     journal = {Under Review},
     year = {2025}
   }

2022

1. Ordinal Regression Evolutionary Algorithm with Adaptive Sampling Strategy for Expensive Multi-Objective Optimization

   XunZhao Yu

   2022

   Bib

   @article{Yu:2022:AOREA,
     title = {Ordinal Regression Evolutionary Algorithm with Adaptive Sampling Strategy for Expensive Multi-Objective Optimization},
     author = {Yu, XunZhao},
     journal = {},
     year = {2022}
   }

2015

1. Top-Querying for Evaluation Selection in Surrogate-Assisted Evolutionary Optimization

   XunZhao Yu, Yang Yu, and YaoChu Jin

   2015

   Bib

   @article{Yu:2015:Top-Query,
     title = {Top-Querying for Evaluation Selection in Surrogate-Assisted Evolutionary Optimization},
     author = {Yu, XunZhao and Yu, Yang and Jin, YaoChu},
     journal = {},
     year = {2015}
   }