Jialin Liu

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Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonAdresse e-mail validée de qmul.ac.uk
Diego Perez-LiebanaQueen Mary University of LondonAdresse e-mail validée de qmul.ac.uk
Olivier TeytaudfacebookAdresse e-mail validée de fb.com
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiAdresse e-mail validée de nyu.edu
Raluca D. GainaQueen Mary University of London, UKAdresse e-mail validée de qmul.ac.uk
Qingquan ZhangSouthern University of Science and Technology (SUSTech)Adresse e-mail validée de mail.sustech.edu.cn
Ziqi Wang (王子祺)Southern University of Science and TechnologyAdresse e-mail validée de mail.sustech.edu.cn
Chengpeng HuEindhoven University of TechnologyAdresse e-mail validée de tue.nl
Georgios N. YannakakisProfessor, Director, Inst. of Digital Games, University of Malta | modl.aiAdresse e-mail validée de um.edu.mt
Jiyuan PeiVictoria University of WellingtonAdresse e-mail validée de vuw.ac.nz
Mark WinandsMaastricht UniversityAdresse e-mail validée de maastrichtuniversity.nl
Yunlong ZhaoSouthern University of Science and TechnologyAdresse e-mail validée de mail.sustech.edu.cn
Tristan CazenaveProfessor Université Paris Dauphine - PSL CNRSAdresse e-mail validée de lamsade.dauphine.fr
Ke TangProfessor, Southern University of Science and TechnologyAdresse e-mail validée de sustech.edu.cn
Wenxing LanSouthern University of Science and TechnologyAdresse e-mail validée de mail.sustech.edu.cn
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)
Hao TongUniversity of Birmingham
Bo Yuan (袁博)Southern University of Science and Technology (SUSTech)

Suivre

Jialin Liu

Tenure-Track Associate Professor, Lingnan University (Hong Kong)

Adresse e-mail validée de ln.edu.hk - Page d'accueil

AI and Games Evolutionary Computation Fair Machine Learning Robust Optimisation


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network V Volz, J Schrum, J Liu, SM Lucas, A Smith, S Risi Proceedings of the Companion Publication of the 2018 Annual Conference on …, 2018	311	2018
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms D Perez-Liebana, J Liu, A Khalifa, RD Gaina, J Togelius, SM Lucas IEEE Transactions on Games 11 (3), 195-214, 2019	234	2019
Deep learning for procedural content generation J Liu, S Snodgrass, A Khalifa, S Risi, GN Yannakakis, J Togelius Neural Computing and Applications 33, 19-37, 2021	198	2021
Deep reinforcement learning for general video game ai RR Torrado, P Bontrager, J Togelius, J Liu, D Perez-Liebana 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018	196	2018
Interactive evolution and exploration within latent level-design space of generative adversarial networks J Schrum, J Gutierrez, V Volz, J Liu, S Lucas, S Risi Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020	68	2020
Pac-Man Conquers Academia: Two Decades of Research Using a Classic Arcade Game P Rohlfshagen, J Liu, D Perez-Liebana, SM Lucas IEEE Transactions on Games 10 (3), 233-256, 2017	64	2017
Analysis of vanilla rolling horizon evolution parameters in general video game playing RD Gaina, J Liu, SM Lucas, D Pérez-Liébana European Conference on the Applications of Evolutionary Computation, 418-434, 2017	64	2017
Experience-driven PCG via reinforcement learning: A Super Mario Bros study T Shu, J Liu, GN Yannakakis 2021 IEEE Conference on Games (CoG), 1-9, 2021	58	2021
The n-tuple bandit evolutionary algorithm for game agent optimisation SM Lucas, J Liu, D Perez-Liebana 2018 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2018	56	2018
PSO-based fuzzy markup language for student learning performance evaluation and educational application CS Lee, MH Wang, CS Wang, O Teytaud, J Liu, SW Lin, PH Hung IEEE Transactions on Fuzzy Systems (TFS) 26 (5), 2618 - 2633, 2018	56	2018
The n-tuple bandit evolutionary algorithm for automatic game improvement K Kunanusont, RD Gaina, J Liu, D Perez-Liebana, SM Lucas 2017 IEEE Congress on Evolutionary Computation (CEC), 2201-2208, 2017	53	2017
The 2016 Two-Player GVGAI Competition D Gaina, Raluca D. and Couetoux, Adrien and Soemers, Dennis J.N.J. and ... IEEE Transactions on Games 10 (2), 209-220, 2017	46	2017
Versatile Black-Box Optimization J Liu, A Moreau, M Preuss, B Roziere, J Rapin, F Teytaud, O Teytaud Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020	42	2020
Evolving game skill-depth using general video game ai agents J Liu, J Togelius, D Pérez-Liébana, SM Lucas 2017 IEEE Congress on Evolutionary Computation (CEC), 2299-2307, 2017	39	2017
Self-Adaptive MCTS for General Video Game Playing CF Sironi, J Liu, D Perez-Liebana, RD Gaina, I Bravi, SM Lucas, ... Applications of Evolutionary Computation: 21st European Conference …, 2018	36	2018
General Video Game Artificial Intelligence. Morgan & Claypool Publishers, 2019, vol. 3, no. 2 D Perez-Liebana, SM Lucas, RD Gaina, J Togelius, A Khalifa, J Liu	34*	2019
Mitigating unfairness via evolutionary multi-objective ensemble learning Q Zhang, J Liu, Z Zhang, J Wen, B Mao, X Yao IEEE Transactions on Evolutionary Computation 27 (4), 848 - 862, 2023	33	2023
Algorithm portfolios for noisy optimization ML Cauwet, J Liu, B Rozière, O Teytaud Annals of Mathematics and Artificial Intelligence (AMAI) 76 (1-2), 143-172, 2016	30	2016
Algorithm portfolios for noisy optimization: Compare solvers early ML Cauwet, J Liu, O Teytaud International Conference on Learning and Intelligent Optimization (LION), 1-15, 2014	30	2014
Self-adaptive Monte Carlo Tree Search in general game playing CF Sironi, J Liu, MHM Winands IEEE Transactions on Games 12 (2), 132-144, 2018	28	2018

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