Journals

2026

1. Under Review

   Learning in Games: Overcoming Binary Game-Theoretic Optimisation with Competitive Coevolution

   (αβ)  Per Kristian Lehre, and Shishen Lin

   Submitted under review, 2026

   Bib

   @article{lehre2026learninggames,
     author = {Lehre, Per Kristian and Lin, Shishen},
     title = {Learning in Games: Overcoming Binary Game-Theoretic Optimisation with Competitive Coevolution},
     journal = {Submitted under review},
     year = {2026},
     is_book = {false},
     is_journal = {true},
     is_conference = {false},
   }

Conferences

2026

1. IJCAI

   Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity

   Shishen Lin^*, and Yixin Chen^*

   In Proceedings of the 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJCAI-ECAI), 2026

   Bib

   @inproceedings{lin2026ijcai,
     author = {Lin, Shishen and Chen, Yixin},
     title = {Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity},
     booktitle = {Proceedings of the 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJCAI-ECAI)},
     year = {2026},
     is_book = {false},
     is_journal = {false},
     is_conference = {true}
   }

2. GECCO

   A Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples

   (αβ)  Joshua Knowles, Per Kristian Lehre, Shishen Lin, and 3 more authors

   In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2026

   Bib

   @inproceedings{knowles2026gecco,
     author = {Knowles, Joshua and Lehre, Per Kristian and Lin, Shishen and Neumann, Frank and Schreiber, Janina and Zarges, Christine},
     title = {A Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
     year = {2026},
     address = {San José, Costa Rica},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

2025

1. IJCAI (Oral)

   Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback

   Shishen Lin

   In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025

   Bib

   @inproceedings{lin2025ijcai,
     presentation = {Oral},
     author = {Lin, Shishen},
     title = {Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback},
     booktitle = {Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI)},
     year = {2025},
     address = {Montreal, Canada},
     is_book = {false},
     is_journal = {false},
     is_conference = {true}
   }

2. AAAI (Oral)

   Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game

   (αβ)  Per Kristian Lehre, and Shishen Lin

   In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025

   Bib

   @inproceedings{lin2025aaai,
     presentation = {Oral},
     author = {Lehre, Per Kristian and Lin, Shishen},
     title = {Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game},
     booktitle = {Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2025},
     address = {Philadelphia, Pennsylvania, USA},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

2024

1. NeurIPS

   No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation

   (αβ)  Per Kristian Lehre, and Shishen Lin

   In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

   Bib

   @inproceedings{lin2024neurips,
     author = {Lehre, Per Kristian and Lin, Shishen},
     title = {No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation},
     booktitle = {Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2024},
     address = {Vancouver, Canada},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

2. PPSN

   Overcoming Binary Adversarial Optimisation with Competitive Coevolution

   (αβ)  Per Kristian Lehre, and Shishen Lin

   In Proceedings of the 18th International Conference on Parallel Problem Solving From Nature (PPSN), 2024

   Bib

   @inproceedings{lin2024ppsn,
     author = {Lehre, Per Kristian and Lin, Shishen},
     title = {Overcoming Binary Adversarial Optimisation with Competitive Coevolution},
     booktitle = {Proceedings of the 18th International Conference on Parallel Problem Solving From Nature (PPSN)},
     year = {2024},
     address = {Hagenberg, Austria},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

3. IJCAI (Oral)

   Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms

   (αβ)  Per Kristian Lehre, and Shishen Lin

   In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024

   Bib

   @inproceedings{lin2024ijcai,
     presentation = {Oral},
     author = {Lehre, Per Kristian and Lin, Shishen},
     title = {Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms},
     booktitle = {Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI)},
     year = {2024},
     address = {Jeju, South Korea},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

2023

1. FOGA

   Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation

   (αβ)  Mario Alejandro Hevia Fajardo, Per Kristian Lehre, and Shishen Lin

   In Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA), 2023

   Bib

   @inproceedings{lin2023foga,
     author = {Hevia Fajardo, Mario Alejandro and Lehre, Per Kristian and Lin, Shishen},
     title = {Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation},
     booktitle = {Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA)},
     year = {2023},
     address = {Potsdam, Germany},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

2. GECCO

   Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation

   (αβ)  Mario Alejandro Hevia Fajardo, Per Kristian Lehre, and Shishen Lin

   In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO Companion), 2023

   Bib

   @inproceedings{lin2023gecco,
     author = {Hevia Fajardo, Mario Alejandro and Lehre, Per Kristian and Lin, Shishen},
     title = {Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation},
     booktitle = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO Companion)},
     year = {2023},
     address = {Lisbon, Portugal},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

3. CEC

   Is CC-(1+1) EA more efficient than (1+1) EA on either separable or inseparable problems?

   (αβ)  Per Kristian Lehre, and Shishen Lin

   In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2023

   Bib

   @inproceedings{lin2023cec,
     author = {Lehre, Per Kristian and Lin, Shishen},
     title = {Is CC-(1+1) EA more efficient than (1+1) EA on either separable or inseparable problems?},
     booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
     year = {2023},
     address = {Chicago, USA},
     is_book = {false},
     is_journal = {false},
     is_conference = {true},
   }

Theses

2025

1. PhD Thesis

   Learning in Games via Competitive Coevolution: A Rigorous Theoretical Perspective

   Shishen Lin

   University of Birmingham, Sep 2025

   2026 ACM SIGEVO Best Dissertation Award (Honorable Mention) 🏆.

   Bib PDF

   @phdthesis{lin2025phdthesis,
     author = {Lin, Shishen},
     title = {Learning in Games via Competitive Coevolution: A Rigorous Theoretical Perspective},
     school = {University of Birmingham},
     month = sep,
     year = {2025},
     note = {2026 ACM SIGEVO Best Dissertation Award (Honorable Mention) 🏆.},
     is_book = {false},
     is_journal = {false},
     is_conference = {false}
   }

Book

2026

1. Book

   完全自适应演化算法理论

   秦霄羽 和 林仕燊 著

   北京: 科学出版社 (2026)

   Bib

   @book{qin2026adaptiveeatheory,
     author = {{秦霄羽 和 林仕燊 著}},
     title = {完全自适应演化算法理论},
     address = {北京},
     publisher = {科学出版社},
     year = {2026},
     is_book = {true},
     is_journal = {false},
     is_conference = {false}
   }