Jialin Liu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 100

Top Venues

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Yunlong Zhao, Chengpeng Hu, Jialin Liu
Playing With Monte-Carlo Tree Search [AI-eXplained]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Qingquan Zhang, Jialin Liu, Xin Yao
An efficient many objective optimization algorithm with few parameters. Swarm Evol. Comput. 83 (2023)
Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao
Evolving Constrained Reinforcement Learning Policy. IJCNN (2023)
Shuo Huang, Chengpeng Hu, Julian Togelius, Jialin Liu
Generating Redstone Style Cities in Minecraft. CoRR (2023)
Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du, Jialin Liu
Game-based Platforms for Artificial Intelligence Research. CoRR (2023)
Chengpeng Hu, Ziqi Wang, Tianye Shu, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
Reinforcement Learning With Dual-Observation for General Video Game Playing. IEEE Trans. Games 15 (2) (2023)
Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. IEEE Trans. Evol. Comput. 27 (4) (2023)
Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao
Evolving Constrained Reinforcement Learning Policy. CoRR (2023)
Shuaixiang Zhang, Hao Tong, Jialin Liu, Xin Yao
Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. GECCO Companion (2023)
Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao
Local Optima Correlation Assisted Adaptive Operator Selection. GECCO (2023)
Jacob Schrum, Jialin Liu, Cameron Browne, Anikó Ekárt, Marcus Gallagher
Guest Editorial: Special Issue on Evolutionary Computation for Games. IEEE Trans. Games 15 (1) (2023)
Shuo Huang, Chengpeng Hu, Julian Togelius, Jialin Liu
Generating Redstone Style Cities in Minecraft. CoG (2023)
Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao
Constrained Reinforcement Learning for Dynamic Material Handling. IJCNN (2023)
Haocheng Du, Yunlong Zhao, Shuo Huang, Jiayu Bai, Song Tian, Jialin Liu
MyRoom: A Unity Plugin for Procedural and Interactive Indoor Scene Synthesis. CoG (2023)
Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao
Constrained Reinforcement Learning for Dynamic Material Handling. CoRR (2023)
Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao
Local Optima Correlation Assisted Adaptive Operator Selection. CoRR (2023)
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
The Fun Facets of Mario: Multifaceted Experience-Driven PCG via Reinforcement Learning. FDG (2022)
Keyuan Zhang, Jiayu Bai, Jialin Liu
Generating Game Levels of Diverse Behaviour Engagement. CoRR (2022)
Ziqi Wang, Jialin Liu
Online Game Level Generation from Music. CoRR (2022)
Jiyuan Pei, Yi Mei, Jialin Liu, Xin Yao
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. PRICAI (1) (2022)
Hao Tong, Qingquan Zhang, Chengpeng Hu, Xudong Feng, Feng Wu, Jialin Liu
Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study. ICSI (2) (2022)
Wenxing Lan, Ziyuan Ye, Peijun Ruan, Jialin Liu, Peng Yang, Xin Yao
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. IEEE Trans. Evol. Comput. 26 (4) (2022)
Ziqi Wang, Tianye Shu, Jialin Liu
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. CoRR (2022)
Keyuan Zhang, Jiayu Bai, Jialin Liu
Generating Game Levels of Diverse Behaviour Engagement. CoG (2022)
Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao
Fairer Machine Learning Through Multi-objective Evolutionary Learning. ICANN (4) (2021)
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
Keiki: Towards Realistic Danmaku Generation via Sequential GANs. CoG (2021)
Jiyuan Pei, Chengpeng Hu, Jialin Liu, Yi Mei, Xin Yao
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. SSCI (2021)
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
Deep learning for procedural content generation. Neural Comput. Appl. 33 (1) (2021)
Hao Tong, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xudong Feng, Feng Wu
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. SSCI (2021)
Jialin Liu, Ke Tang, Xin Yao
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 16 (1) (2021)
Tianye Shu, Jialin Liu, Georgios N. Yannakakis
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. CoG (2021)
Tianye Shu, Jialin Liu, Georgios N. Yannakakis
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. CoRR (2021)
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
Keiki: Towards Realistic Danmaku Generation via Sequential GANs. CoRR (2021)
Chiara F. Sironi, Jialin Liu, Mark H. M. Winands
Self-Adaptive Monte Carlo Tree Search in General Game Playing. IEEE Trans. Games 12 (2) (2020)
Qingquan Zhang, Feng Wu, Yang Tao, Jiyuan Pei, Jialin Liu, Xin Yao
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. SSCI (2020)
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CoRR (2020)
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
Deep Learning for Procedural Content Generation. CoRR (2020)
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
Interactive evolution and exploration within latent level-design space of generative adversarial networks. GECCO (2020)
Chenhao Li, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xin Yao
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. SSCI (2020)
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CEC (2020)
Han Zhang, Jialin Liu, Xin Yao
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. PPSN (2) (2020)
Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
Robust Reinforcement Learning for General Video Game Playing. CoRR (2020)
Han Zhang, Jialin Liu, Xin Yao
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. CoRR (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
Versatile black-box optimization. GECCO (2020)
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks. CoRR (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
Versatile Black-Box Optimization. CoRR (2020)
Hao Tong, Jialin Liu, Xin Yao
Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms. GECCO (2019)
Jialin Liu, Xin Yao
Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems. SSCI (2019)
Jialin Liu, Tom Schaul, Pieter Spronck, Julian Togelius
Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511). Dagstuhl Reports 9 (12) (2019)
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CoRR (2019)
Jialin Liu, Diego Pérez-Liébana, Tristan Cazenave, Ruck Thawonmas
Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. IEEE Trans. Games 11 (3) (2019)
Ivan Bravi, Simon M. Lucas, Diego Perez Liebana, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoRR (2019)
Jialin Liu, Olivier Teytaud
Efficient Decision Making under Uncertainty in a Power System Investment Problem. SSCI (2019)
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CEC (2019)
Hao Tong, Jialin Liu, Xin Yao
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms. CoRR (2019)
Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. CoRR (2019)
Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. IEEE Trans. Games 11 (3) (2019)
Jialin Liu, Olivier Teytaud
A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization. SSCI (2019)
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoG (2019)
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. CoRR (2018)
Chiara F. Sironi, Jialin Liu, Diego Perez Liebana, Raluca D. Gaina, Ivan Bravi, Simon M. Lucas, Mark H. M. Winands
Self-adaptive MCTS for General Video Game Playing. EvoApplications (2018)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CEC (2018)
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. CoRR (2018)
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Shallow Decision-Making Analysis in General Video Game Playing. CIG (2018)
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
Deep Reinforcement Learning for General Video Game AI. CoRR (2018)
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
Deep Reinforcement Learning for General Video Game AI. CIG (2018)
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Shallow decision-making analysis in General Video Game Playing. CoRR (2018)
Simon M. Lucas, Jialin Liu, Diego Perez Liebana
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CoRR (2018)
Philipp Rohlfshagen, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. IEEE Trans. Games 10 (3) (2018)
Raluca D. Gaina, Adrien Couëtoux, Dennis J. N. J. Soemers, Mark H. M. Winands, Tom Vodopivec, Florian Kirchgeßner, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
The 2016 Two-Player GVGAI Competition. IEEE Trans. Games 10 (2) (2018)
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
Evolving mario levels in the latent space of a deep convolutional generative adversarial network. GECCO (2018)
Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. CoRR (2018)
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
The N-Tuple bandit evolutionary algorithm for automatic game improvement. CEC (2017)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. SSCI (2017)
Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. EvoApplications (1) (2017)
Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas
Evolving Game Skill-Depth using General Video Game AI Agents. CoRR (2017)
Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas
Evolving Game Skill-Depth using General Video Game AI agents. CEC (2017)
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement. CoRR (2017)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. CoRR (2017)
Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. CoRR (2017)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. CoRR (2017)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Bandit-based Random Mutation Hill-Climbing. CEC (2017)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Rolling Horizon Coevolutionary Planning for Two-Player Video Games. CoRR (2016)
Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
Learning opening books in partially observable games: Using random seeds in Phantom Go. CIG (2016)
Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud
Algorithm portfolios for noisy optimization. Ann. Math. Artif. Intell. 76 (1-2) (2016)
Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
Learning opening books in partially observable games: using random seeds in Phantom Go. CoRR (2016)
Jialin Liu, Olivier Teytaud, Tristan Cazenave
Fast Seed-Learning Algorithms for Games. Computers and Games (2016)
Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
Simple and cumulative regret for continuous noisy optimization. Theor. Comput. Sci. 617 (2016)
Jialin Liu, Olivier Teytaud
Scenario-based decision-making for power systems investment planning. CoRR (2016)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Rolling Horizon Coevolutionary planning for two-player video games. CEEC (2016)
Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas
Optimal resampling for the noisy OneMax problem. CoRR (2016)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Bandit-Based Random Mutation Hill-Climbing. CoRR (2016)
David Lupien St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud
Automatically Reinforcing a Game AI. CoRR (2016)
Jérémie Decock, Jialin Liu, Olivier Teytaud
Variance Reduction in Population-Based Optimization: Application to Unit Commitment. GECCO (Companion) (2015)
Tristan Cazenave, Jialin Liu, Olivier Teytaud
The rectangular seeds of Domineering. CIG (2015)
David Lupien St-Pierre, Jialin Liu, Olivier Teytaud
Nash reweighting of Monte Carlo simulations: Tsumego. CEC (2015)
Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Shi-Jim Yen
resamplings at iteration n and Reach the -1/2 slope. CEC (2015)
Jean-Joseph Christophe, Jérémie Decock, Jialin Liu, Olivier Teytaud
Variance Reduction in Population-Based Optimization: Application to Unit Commitment. Artificial Evolution (2015)
Mei-Hui Wang, Chi-Shiang Wang, Chang-Shing Lee, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
Item response theory with fuzzy markup language for parameter estimation and validation. FUZZ-IEEE (2015)

Jialin Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jialin Liu