Welcome

We have multiple positions available at the levels of PhD students (admission in September 2026, January/September 2027), Postdoctoral Fellows and Research Assistant 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) via deep learning, reinforcement learning and LLMs
Smart Logistics
Learn to Optimise
AI Ethics, particularly, 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 or our Group page. 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
2024-2027, Honorary Research Associate
School of Engineering and Computer Science, Victoria University of Wellington, New Zealand
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 Professor/Research 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, Head of School)
School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL), UK
2016-2017, Postdoc
Collaborated PI: Simon Lucas (Professor, Head of School)
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 talk 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 talk 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 talk at Tencent (Shenzhen, China), 27 July 2018.
Invited talk at Google DeepMind (London, UK), 7 March 2018.
Invited talk at Maastricht University (Maastricht, Netherlands), November 2017.