Shishen Lin 林仕燊
I start my PhD of Computer Science at Birmingham since Sep. 2021. I mainly focus on Artificial Intelligence, Optimisation, Evolutionary Algorithm. I am also intertesded in Reinforcement Learning and evolutionary computation methods on it. Before that, I was a MSc Mathematics student at Imperial College London with a focus on probability theory, Markov processes and random matrix theory. I did my internship of data analysis at Tencent during summer in 2021. I have also completed my BSc Maths degree at Warwick before going to Imperial.
Research Interests
Randomised Algorithms including Evolutionary Algorithms or ohter bio-inspired algorithms
Probability theory and its applications on theoretical analysis on randomised algorihtms
Black-Box Optimisation, Adversarial Optimsation.
Machine Learning, Reinforcement Learning and their interplay with Evolutionary computation
News:
26 Sep. 2024: Our paper with Prof. Per Kristian Lehre has been accepted in NeurIPS 2024
14-18 Sep. 2024: Physically attended PPSN 2024 conference and presented our accepted paper “Overcoming Binary Adversarial Optimisation with Competitive Coevolution”, in Hagenberg, Austria
3-9 Aug. 2024: Physically attended IJCAI 2024 conference and presented our accepted paper “Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms”, in Jeju, South Korea
19 June. 2024: Physically attended Artifical Intelligence Workshop and gave a talk about “Runtime Analysis in AI Theory Studies How Algorithm Iterations are Influenced by Design and Problem Structure” at Tsinghua University, in Beijing, China
31 May. 2024: Our paper with Prof. Per Kristian Lehre has been accepted in PPSN 2024
18 Apr. 2024: Our paper with Prof. Per Kristian Lehre has been accepted in IJCAI 2024
17-18 Apr. 2024: Physically attended workshop on Evolutionary Computation at Nanjing University, in Nanjing, China
18 Mar. 2024: Physically attended Early Career Researchers Connect (ECR Connect) organised by The Alan Turing Institute, in London, UK
Before: ······
Email Address:
My email is sxl1242@student.bham.ac.uk.
Feel free to drop me an email if you find any interesting topics related to above and want to discuss!