CV - Shishen Lin

Work experience

Summer 2020: Data Analyst Intern

Tencent Technology, Shenzhen, China
Duties: A 10-weeks summer intern on data analysis. A business and data analyst internship on supporting Tencent Advertising Market Services in particular IAA ( In-App Advertising) division. Analyse data from Ads in Games by using Excel and Python and update data for weekly reports of IAA. Also use Pandas and Numpy to simplify Excel computation.

Summer 2020: Research Assistant

University of Warwick, Coventry, United Kingdom
Duties: A 10-weeks funded summer project on number theory, which is supervised by Dr. Chris Williams. The project mainly focuses on rational points on elliptic curves, which is an important object in number theory. It is also important in some modern encryption. During the project, I learn the theory of elliptic curves and use some elementary algebraic geometry to solve number theoretic questions. Meanwhile, I am trying to learn Sage software to do some complicated calculation, which is based on Python Programmimg.
Supervisor: Dr. Chris Williams.

Summer 2019: Research Assistant

University of Warwick, Coventry, United Kingdom
Duties: A 10-week funded research program on stability and sound in ducted flow, supervised by Dr Ed Brambley. The project mainly studied the instability problem by using mathematical analysis.
Supervisor: Dr Ed Brambley

Publications (authors are listed in alphabetical order)

Overcoming Binary Adversarial Optimisation with Competitive Coevolution

Per Kristian Lehre, and Shishen Lin. (2024). " Overcoming Binary Adversarial Optimisation with Competitive Coevolution." 18th International Conference on Parallel Problem Solving From Nature (PPSN). 14 pages, Hagenberg, Austria, 2024. to appear.

Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms

Per Kristian Lehre, and Shishen Lin. (2024). "Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms." Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI). 7 pages, Jeju, South Korea, 2024.

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

Mario Alejandro Hevia Fajardo, Per Kristian Lehre, and Shishen Lin. (2023). "Runtime analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation." Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA). 11 pages, Potsdam, Germany, 2023.

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

Per Kristian Lehre, Shishen Lin. (2023). "Is CC-(1+1) EA more efficient than (1+1) EA on either separable or inseparable problems?" IEEE Congress on Evolutionary Computation (CEC). 8 pages, Chicago, USA, 2023.

Shishen Lin

CV

Education