Publications

Journal papers are marked with [J] after titles
Conference papers are marked with [C] after titles
Non-reviewed papers are not marked with anything
Corresponding authors are marked with ✉ after names

2024

Yifan He and Claus Aranha✉: Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming [C]. 2024 IEEE World Congress on Computational Intelligence (WCCI 2024). [DOI] [arXiv] [Code].

Yongfu Wang, Mingyue Tang, Yifan He, and Tiffany Y. Tang✉. Interactive Design with Autistic Children using LLM and IoT for Personalized Training: The Good, The Bad and The Challenging [C]. 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2024) Companion. [DOI]

2023

Yifan He and Ferrante Neri✉: Fitness Landscape Analysis of Genetic Programming Search Spaces with Local Optima Networks [C]. The Genetic and Evolutionary Computation Conference 2023 (GECCO 2023) Companion. [DOI] [Code].

Yifan He: Adaptive Transfer of Genetic Knowledge in Evolutionary Optimization and Program Synthesis. 2023 Doctoral Thesis at the University of Tsukuba. [PDF] [Defense].

2022

Yifan He, Claus Aranha✉, Antony Hallam, and Romain Chassagne: Optimization of Subsurface Models with Multiple Criteria using Lexicase Selection [J]. Operations Research Perspectives. [DOI] [Code].

Antony Hallam, Romain Chassagne✉, Claus Aranha, and Yifan He: Comparison of Maps Metrics as Fitness Input for Assisted Seismic History Matching [J]. Journal of Geophysics and Engineering. [DOI].

Yifan He, Claus Aranha✉, and Tetsuya Sakurai: Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives [C]. 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022). [DOI] [arXiv] [Code].

Yifan He, Claus Aranha✉, and Tetsuya Sakurai: Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation [C]. The Genetic and Evolutionary Computation Conference 2022 (GECCO 2022) Companion. [DOI] [Code].

2021

Yifan He and Claus Aranha✉: Solving Multi-Objective Optimization Problems with Differential Evolution and Lexicase Selection. Symposium of the Japanese Society of Evolutionary Computation 2021.

2020

Yifan He✉ and Claus Aranha: Solving Portfolio Optimization Problems using MOEA/D and Lévy Flight [J]. Advances in Data Science and Adaptive Analysis. [DOI] [arXiv] [Code].

Yifan He, Claus Aranha✉, and Tetsuya Sakurai: Parameter Evolution Self-Adaptive Strategy and its Application for Cuckoo Search [C]. The 9th International Conference on Bioinspired Optimisation Methods and their Applications (BIOMA 2020). [DOI] [Code].

Yifan He and Claus Aranha✉: Evolving Stability Parameters of Lévy Flight in Cuckoo Search. Symposium of the Japanese Society of Evolutionary Computation 2020.

Yifan He: Solving Portfolio Optimization Problems using MOEA/D and Lévy Flight. 2020 Master’s Thesis at the University of Tsukuba. [PDF] [Defense].

2019

Yifan He, Claus Aranha, and Hitoshi Kanoh✉: Solving Portfolio Optimization Problems based on MOEA/D and Lévy Flight. Symposium of the Japanese Society of Evolutionary Computation 2019.

Before 2019 (Published during undergraduate)

Yifan He and Tiffany Ya Tang✉: Recommending Highlights in Anime Movies: Mining the Real-time User Comments “DanMaKu” [C]. SAI Intelligent Systems Conference 2017 (IntelliSys 2017). [DOI].

Yifan He and Tiffany Ya Tang✉: The Effect of Emotion in an Ultimatum Game: the Bio-Feedback Evidence [C]. The 19th International Conference on Human-Computer Interaction (HCII 2017). [DOI].

Yifan He, Bo Zhu, and Pinata Winoto✉: A Customizable Calculator Application with 3D-Printed Cover for the Visually Impaired in China [C]. The 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017). [DOI].

Tiffany Ya Tang✉, Maldini Yifan He, and Vince Lineng Cao: “One Doesn’t Fit All”: A Comparative Study of Various Finger Gesture Interaction Methods [C]. The 18th International Conference on Human-Computer Interaction (HCII 2016). [DOI].