Shishen Lin (林仕燊)

(Generated by GPT)

University of Warwick

Gibbet Hill Road

Coventry, UK

CV4 7AL

I joined the University of Warwick as a Research Fellow in 2025, contributing to the ERC Synergy project OCEAN (On intelligenCE And Networks – Synergistic research in Bayesian Statistics, Microeconomics and Computer Sciences). The project is led by Professors Eric Moulines (École Polytechnique), Michael I. Jordan (UC Berkeley & INRIA), Christian Robert (Université Paris-Dauphine) and Gareth Roberts (University of Warwick). I work closely with Professor Gareth Roberts and Professor Adam Johansen.

Since Sep. 2021, I have been a PhD student in the School of Computer Science at the University of Birmingham, working on the UKRI Turing AI Acceleration Fellowship project “Rigorous Time-Complexity Analysis of Coevolutionary Algorithms” (project page), led by Professor Per Kristian Lehre, who also supervises my PhD. During my PhD, I also visited Professor Chao Qian at LAMDA Lab, Nanjing University, China.

My research mainly focuses on Artificial Intelligence, Optimisation, Evolutionary Algorithm. I am interested in reinforcement learning and the combination with evolutionary computation methods.

Before my PhD, I completed an MSc in Mathematics at Imperial College London concentrating on probability theory, Markov processes and random matrix theory, after earning a BSc in Mathematics at Warwick.

Me? Mathematician? Computer Scientist? Or both?

News

Sep 15, 2025	Joined the Department of Statistics, University of Warwick as a Research Fellow on the ERC Synergy OCEAN project! Excited to collaborate with the team.
Aug 30, 2025	Presented our IJCAI 2025 paper “Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback” in Guangzhou (Aug 28–31, 2025)!
Aug 02, 2025	Attended Symposium at Oxford – 75 years of Nash equilibrium Nash75 !
Jul 14, 2025	Physically attended GECCO 2025 conference at Malaga, Spain!
Apr 29, 2025	Our paper “Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback” has been accepted in IJCAI 2025

Selected Publications

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},
  theory = {true}
}

AAAI (Oral)

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

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},
  theory = {true}
}

NeurIPS

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

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},
  theory = {true}
}

PPSN

Overcoming Binary Adversarial Optimisation with Competitive Coevolution

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},
  theory = {true}
}