Fu Xing Long
- Name
- Dr. F.X. Long
- ORCID iD
- 0000-0003-4550-5777
Fu Xing Long is an external PhD student in the Natural Computing Group of LIACS based in BMW in Munich, Germany, starting from May 2021. Fu Xing's research interests are in automotive crashworthiness optimization, efficient global optimization and hyperparameter optimization.
- LIACS
- LIACS Research
Contact
- Long F.X. (27 November 2025), Optimizing solvers for real-world expensive black-box optimization with applications in vehicle design (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Bäck T.H.W. & Gitterle M., Stein N. van.
- Long F.X., Stein N. van, Frenzel M., Krause P., Gitterle M. & Bäck T.H.W. (2025), Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization, Structural and Multidisciplinary Optimization 68: 68.
- Winter R. de, Long F.X., Thomaser A.M., Bäck T.H.W., Stein N. van & Kononova A.V. (2024), Landscape analysis based vs. domain-specific optimization for engineering design applications: a clear case, 2024 IEEE Conference on Artificial Intelligence (CAI). The 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024) 25 June 2024 - 27 June 2024: IEEE. 776-781.
- Long F.X., Frenzel M., Krause P., Gitterle M., Bäck T.H.W. & Stein N. van (2024), Landscape-aware automated algorithm configuration using multi-output mixed regression and classification. Affenzeller M., Winkler S.M., Kononova A.V., Trautmann H., Tusar T., Machado P. & Bäck T.H.W. (Eds.), Parallel problem solving from nature: PPSN XVIII. Parallel Problem Solving from Nature – PPSN XVIII 14 September 2024 - 18 September 2024. Lecture Notes in Computer Science no. 15149. Cham: Springer. 87-104.
- Long F.X., Stein N. van, Moritz F., Krause P., Gitterle M. & Bäck T.W.H. (2024), Generating cheap representative functions for expensive automotive crashworthiness optimization, ACM Transactions on Evolutionary Learning and Optimization 4(2): 9.
- Long F.X., Vermetten D, Kononova A.V., Kalkreuth R, Yang K., Bäck T.H.W. & Stein N. van (2023), Challenges of ELA-guided function evolution using genetic programming. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (Eds.), Proceedings of the 15th international joint conference on computational intelligence ECTA. 15th International Joint Conference on Computational Intelligence - ECTA 13 November 2023 - 15 November 2023 no. 1. Portugal: SciTePress. 119-130.
- Long F.X., Vermetten D.L., Stein N. van & Kononova A.V. (2023), BBOB instance analysis: landscape properties and algorithm performance across problem instances. Correia J., Smith S. & Qaddoura R. (Eds.), Applications of evolutionary computation. 26th European Conference, EvoApplications 2023 12 April 2023 - 14 April 2023. Lecture Notes in Computer Science no. 13989. Cham: Springer. 380-395.
- Long F.X., Stein B. van, Frenzel M., Krause P., Gitterle M. & Bäck T.H.W. (2022), Learning the characteristics of engineering optimization problems with applications in automotive crash. Fieldsend J.E. (Ed.), GECCO '22: Proceedings of the genetic and evolutionary computation conference. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022: ACM. 1227-1236.