Welcome

We have multiple positions available at the levels of Postdoctoral Fellows, PhD students, and MPhil students at Lingnan University (Hong Kong SAR). Please check Join Us for more details.

Research Group

Learning and Optimisation in Games (LOG) Group

Research Interests

• AI for Games
  • AI for Playing Games
  • Procedural Content Generation (PCG)
• Smart Logistics
• Learn to Optimise
• Fair Machine Learning

We tackle real-world challenges by applying evolutionary computation, multi-objective optimization, reinforcement learning, generative models, and LLMs etc.

For more about our research, please check my publications on Google Scholar. My Erdös Number is 4, through Sylvie Ruette, Bernard Host and Vitaly Bergelson.

Grants

PI of projects funded by MOST, NSFC, Guangdong Science and Technology Department, Shenzhen Science and Technology Innovation Commission, Tencent, etc.

Professional Experience

• Present, Associate Professor
  Head of Learning and Optimisation in Games (LOG) Group
  School of Data Science (SDS), Lingnan University, Hong Kong SAR, China
• 2021-2024, Tenure-Track Assistant Professor
  Head of Learning and Optimisation in Games (LOG) Group
  Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
• 2018-2021, Research Assistant/Associate Professor
  Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
• 2017-2018, Postdoc
  Collaborated PI: Simon Lucas (Professor of Artificial Intelligence, Head of Game AI Research Group)
  School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL), UK
• 2016-2017, Postdoc
  Collaborated PI: Simon Lucas (Professor)
  School of Computer Science and Electronic Engineering, University of Essec (UoE), UK

Education

• 2016, Ph.D in Computer Science
  Portfolio methods in uncertain contexts (in English)
  Team TAO, INRIA Saclay-CNRS-LRI, Université Paris-Saclay, Paris Saclay, France
  Supervisors: Olivier Teytaud (INRIA Saclay / Google Brain / Meta AI) and Marc Schoenauer (Deputy Research Director at INRIA, in charge of AI, INRIA Saclay)
  Examined by Bruno Bouzy, Philippe Dague, Marcus Gallagher, Simon Lucas, Petr Pošík and Günter Rudolph.
• 2013, Master’s degree in Bioinformatics and Biostatistics Reconstruction of molecules with new functions using artificial simulations by directed evolution (in French)
  BIOcomputing and Structure (BIOS) Research Group, École Polytechnique & Université Paris-Sud, Orsay, France
  Supervisors: Jérôme Azé, Thomas Simonson and Thomas Gaillard\
• 2012, Engineer’s degree in Computer Science (Network, Artificial Intelligence)
  Polytech’Paris-Sud, Orsay, France
• 2010, Bachelor’s degree in Optical & Electronic Information
  School of Optical and Electronic Information, Huazhong University of Science and Technology (HUST), Wuhan, China

Invited Talks

• Keynote at the 2025 Advances in Computer Games Conference (ACG 2025) (online), 23 October 2025.
• Invited seminar at Leiden University (Maastricht, Netherlands), 27 February 2025.
• Keynote at the 2024 IEEE World Congress on Computational Intelligence (Yokohama, Japan), 4 July 2024.
• Invited talk at University of Malta (Malta), 23 November 2023.
• Invited lecture at University of Málaga (online), 27 May 2022.
• Invited seminar at ByteDance (Shenzhen, China), 15 April 2021.
• Invited lecture at 2020 IEEE Biennial Congress of Argentina (online), 4 December 2020.
• Invited talk at French Platform on Artificial Intelligence (online), 1 July 2020.
• Invited seminar at Tencent (Shenzhen, China), 27 July 2018.
• Invited talk at Google DeepMind (London, UK), 7 March 2018.
• Invited seminar at Maastricht University (Maastricht, Netherlands), November 2017.