Jialin LIU    刘佳琳

Assistant Professor

Learning and Optimization in Games (LOG) Laboratory

OPtimization And Learning (OPAL) Laboratory

Shenzhen Key Laboratory of Computational Intelligence

University Key Laboratory of Evolving Intelligent Systems of Guangdong Province

Department of Computer Science and Engineering (CSE)

Southern University of Science and Technology (SUSTech), Shenzhen, China

Email: liujl(at)sustech.edu.cn

You may want to try the Konami code on this page1 :)

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Biography

I'm currently an Assistant Professor at the Department of Computer Science and Engineering (CSE) of the Southern University of Science and Technology (SUSTech), China. I worked as a Research Assistant Professor and Research Associate Professor at SUSTech between 2018 and 2021. Before joining SUSTech, I was a Postdoctoral Research Associate at Queen Mary University of London (QMUL, UK) and one of the founding members of the Game AI Group (GAIG) created in August 2017. I received my Ph.D. Degree in Computer Science from the Inria Saclay and the Université Paris-Saclay (France) in December 2015 and a Master degree in Bioinformatics and Biostatistics from the École Polytechnique and the Université Paris-Sud (France) in 2013. My research interests include, but not limited to, AI in Games (AI for playing games, AI for designing games, particularly procedural content generation), optimisation under uncertainty (derivation-free optimisation, dynamic resampling strategies, algorithm portfolio), evolutionary computation and its applications, such as vehicle routing problems.

Check my publications here

My Erdös Number is 4, through Sylvie Ruette, Bernard Host and Vitaly Bergelson.

I have multiple positions available at the levels of Postdoctoral Fellows, PhD and MSc students, and visiting scholars (for a period of at least 12 months). These positions remain open until filled. If you are interested, please send me your CV. If you are interested in working on AI in games, please take a look at our survey ``Deep Learning for Procedural Content Generation'' and the Game AI book before contacting me.

Click here for more about Learning and Optimization in Games (LOG) Laboratory.

News (Last update: Nov 2021)

  • Our work "Region-focused Memetic Algorithms with Smart Initialisation for Real-world Large-scale Waste Collection Problems" was accepted by the IEEE TEVC. Congrats to Wenxing, Ziyuan and Peijun !!!
  • Ziqi and Tianye published their work "Keiki: Towards Realistic Danmaku Generation via Sequential GANs" and "Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study" at the 2021 IEEE Conference on Games ! Such a great ending of their UG studies. They started new exploration as master students at SUSTech in Sept 2021 :)
  • RL agent designed by Chengpeng Hu, Ziqi Wang and Tianye Shu is ranked at 1st place in the 2020 General Video Game AI Learning Competition organised at PPSN2020 and IEEE CoG2020. Congrats!
  • Our work "A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros" co-authored by Tianye Shu and Ziqi Wang (UG students) was accepted by the IEEE CEC2020.
  • Our work "Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network" won the Best Paper Award at GECCO18.This work has been reported by Science and The Register. Click here to watch the nice video in Science that includes our research.
  • Our work "The n-tuple bandit evolutionary algorithm for game agent optimisation" has been nominated for the Best Paper Award at WCCI2018.
  • Linux the Cat

    Linux was born in France and adopted from PFDUA in 2015, a nonprofit organization who helps cats. Linux moved to the UK in 2017, and then moved to China in 2018. It was not easy but finally we made it! Linux adapts well :)