Scholar
Jialin Liu
Google Scholar ID: xhytgbIAAAAJ
Associate Professor, Lingnan University (Hong Kong)
Citations & Impact
Citations
1,942
H-index
21
i10-index
35
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- - Invited Talks: Keynote at ACG 2025, seminar at Leiden University, keynote at IEEE World Congress on Computational Intelligence 2024, invited talk at University of Malta, etc.
- - For more about her publications, please check Google Scholar
Research Experience
- - Present: Associate Professor at the School of Data Science, Lingnan University, Hong Kong SAR, leading the Learning and Optimisation in Games (LOG) Group
- - 2022-2024: 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, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTec), Shenzhen, China
- - 2017-2018: Postdoc, School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL), UK
- - 2016-2017: Postdoc, School of Computer Science and Electronic Engineering, University of Essex (UoE), UK
Education
- - 2016, Ph.D. in Computer Science, Portfolio methods in uncertain contexts, supervised by Olivier Teytaud (Meta AI) and Marc Schoenauer (Inria Saclay), Université Paris-Saclay, France
- - 2013, Master’s degree in Bioinformatics and Biostatistics, Reconstruction of molecules with new functions using artificial simulations by directed evolution, Université Paris-Sud & École Polytechnique, Orsay, France
- - 2012, Engineer’s degree in Computer Science (Network, Artificial Intelligence), Polytech’Paris-Sud, Orsay, France
- - 2010, Bachelor’s degree in Optical & Electronic Information, Huazhong University of Science and Technology (HUST), Wuhan, China
Background
- - Research Interests: AI for Games, AI for Playing Games, Procedural Content Generation (PCG) via Generative Models, Reinforcement Learning and/or LLM, Smart Logistics, Learn to Optimize, Fair Machine Learning
- - Position: Associate Professor at the School of Data Science, Lingnan University, Hong Kong SAR, leading the Learning and Optimisation in Games (LOG) Group
Miscellany
- - Pronouns: she/her
- - Erdös Number: 4
