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Welcome to COLA Laboratory #

Computational Optimization for Learning and Adaptive Systems (COLA) laboratory is working in computational/artificial intelligence, multi-objective optimization and decision-making, operational research, machine learning and statistical modeling of complex systems. Applications focus on search-based software engineering, energy, biological science and medicine.

We are constantly looking for talented and passionate people to join our lab. Please refer to vacancies for potential opportunities.
I have been working on the update of this website, though it has been a bit slow.

Recent News (Year 2024) #

  • Congratulations to Phoenix who secured a position in GSK, one of the biggest pharmaceutical companies in the world. He will be exploring the responsible AI in drug discovery. Very big congratulations to Phoenix’s achievements. This also sets our new journey towards AI4Science. June 4
  • I am honored to be invited as a Senior Program Committee of CIKM 2024. This is a recognition of our group’s effort on data engineering in the past three years. May 17
  • Our AutoML for science work is featured in a WeiChat public account article for public outreaches. I’m very exciting to look forward more interesting works along this line of research. April 28

  • Our paper on “Multi-Output Framework for Time-Series Forecasting in Smart Grid Meets Data Scarcity” has been accepted to IEEE Trans. on Industrial Informatics. Congratulations to Jiangjiao! Very nice piece of work on time-series forecasting from the perspective of Gaussian process modeling. April 26

  • Our paper on “Evolutionary Multi-Objective Optimization for Contextual Adversarial Example Generation” has been accepted to FSE 2024! Congratulations to Shasha! Very nice piece of work on adversarial attacks in language models for software engineering. April 14

  • Our first multi-disciplinary paper about AutoML for science, named “iM-Seeker: A Webserver for DNA I-motifs Prediction and Scoring via Automated Machine Learning” has been accepted to Nucleic Acids Research. Congratulations to Fan and our collaborator in Ding’s lab. We have many more in coming! April 11

  • Our paper on “Evolutionary Art Attack For Black-Box Adversarial Example Generation” has been accepted to IEEE Trans. Evolutionary Computation. Congratulations to Phoenix! April 2

  • Our paper on “A Knee Point Driven Evolutionary Algorithm for Multi-Objective Bilevel Optimization” has been accepted to IEEE Trans. Cybernetics. Congratulations to Jiaxin! March 8

  • I’m thrilled to be selected as in the new cohort of 51 Turing Fellows in the UK. The Alan Turing Institute is the national institute of AI and data science. Look forward to developing new collaboration in my second term as a Turing Fellow. March 1

  • I have been invited to join the Editorial Board of Evolutionary Computation Journal (ECJ), effective since February! ECJ is one of the most prestigious journals in the evolutionary computation field. It is my honor to promote the visibility and impact of ECJ. January 25

  • Our papers on “An Automated Few-Shot Learning for Time Series Forecasting in Smart Grid Under Data Scarcity” has been accepted to IEEE Trans. Artificial Intelligence. Congratulations to Jiangjiao! January 19

  • Our papers on “Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation” has been accepted to EACL 2024. Congratulations to Heng! January 18

Previous news can be found from our news archive.

Contact #

Dr. Ke Li
Department of Computer Science
Innovation Centre A1-D
University of Exeter
Streatham Campus, North Park Road
Exeter, EX4 4QF, UK
E-mail: k.li AT exeter.ac.uk
Tel: +(44) 0139-272-4557