JL
Jialin Liu
31
Documents
Presentation
[Jialin LIU's homepage](https://www.lri.fr/~liu/ "Jialin LIU's homepage")
**Short Introduction**
----------------------
I am a ph.D student (since April 2013) working on the project [POST](https://www.lri.fr/~teytaud/post.pdf) (INRIA), supervised by [Olivier Teytaud](http://www.lri.fr/~teytaud/) and [Marc Schoenauer](https://www.lri.fr/~marc/). My ph.D topic is "Strategy Optimization With Uncertainties, with Applications in Energy Management". I'm a member of the [TAO](http://tao.lri.fr/) group ([INRIA Saclay](http://www.inria.fr/centre/saclay)- [CNRS](http://www.cnrs.fr/)- [LRI](https://www.lri.fr/), [Université Paris-Sud](http://www.u-psud.fr/fr/index.html)).
**Contact**
Office 2028, DIGITEO, bâtiment 660, Université Paris-Sud
Rue Noetzlin, 91190 Gif-sur-Yvette, France
Email : jialin.liu(@)inria.fr
CVs
---
- [In English](http://www.lri.fr/~liu/cv_en_LIU_Jialin.pdf)
- [En Français](http://www.lri.fr/~liu/cv_fr_LIU_Jialin.pdf)
Main Topics of Research
-----------------------
- Reinforcement Learning
- Noisy Optimization
- Algorithm Selection
Education
---------
- From April 2013
ph.D in progress
- January 2013
Master's degree in [Bioinformatics and Biostatistics](http://www.bibs.u-psud.fr/index.php), [Université Paris-Sud](http://www.u-psud.fr/fr/index.html) & [Ecole Polytechnique ](http://www.polytechnique.edu/).
- September, 2012
Engineer's degree in Computer Science (Network, Artificial Intelligence), [Polytech'Paris-Sud](http://www.hust.edu.cn/).
- July, 2010
Bachelor's degree in Opto-electronic Information Engineering, [Huazhong University of Science and Technology (HUST)](http://www.hust.edu.cn/).
<a name="teaching"></a>Teaching
-------------------------------
- Computer Networks, 1st-year of Master in Computer Science, Université Paris-Sud. 2013-2014.
- Computer Networks, 4th-year of Engineering in Computer Science, Polytech'Paris-Sud. 2013-2014.
[NS2 and TPs](https://www.lri.fr/~liu/reseauxAPP4).
- Computer and Internet Certificate, Université Paris-Sud. 2013-2014.
[Jialin LIU's homepage](https://www.lri.fr/~liu/ "Jialin LIU's homepage")
**Short Introduction**
----------------------
I am a ph.D student (since April 2013) working on the project [POST](https://www.lri.fr/~teytaud/post.pdf) (INRIA), supervised by [Olivier Teytaud](http://www.lri.fr/~teytaud/) and [Marc Schoenauer](https://www.lri.fr/~marc/). My ph.D topic is "Strategy Optimization With Uncertainties, with Applications in Energy Management". I'm a member of the [TAO](http://tao.lri.fr/) group ([INRIA Saclay](http://www.inria.fr/centre/saclay)- [CNRS](http://www.cnrs.fr/)- [LRI](https://www.lri.fr/), [Université Paris-Sud](http://www.u-psud.fr/fr/index.html)).
**Contact**
Office 2028, DIGITEO, bâtiment 660, Université Paris-Sud
Rue Noetzlin, 91190 Gif-sur-Yvette, France
Email : jialin.liu(@)inria.fr
CVs
---
- [In English](http://www.lri.fr/~liu/cv_en_LIU_Jialin.pdf)
- [En Français](http://www.lri.fr/~liu/cv_fr_LIU_Jialin.pdf)
Main Topics of Research
-----------------------
- Reinforcement Learning
- Noisy Optimization
- Algorithm Selection
Education
---------
- From April 2013
ph.D in progress
- January 2013
Master's degree in [Bioinformatics and Biostatistics](http://www.bibs.u-psud.fr/index.php), [Université Paris-Sud](http://www.u-psud.fr/fr/index.html) & [Ecole Polytechnique ](http://www.polytechnique.edu/).
- September, 2012
Engineer's degree in Computer Science (Network, Artificial Intelligence), [Polytech'Paris-Sud](http://www.hust.edu.cn/).
- July, 2010
Bachelor's degree in Opto-electronic Information Engineering, [Huazhong University of Science and Technology (HUST)](http://www.hust.edu.cn/).
<a name="teaching"></a>Teaching
-------------------------------
- Computer Networks, 1st-year of Master in Computer Science, Université Paris-Sud. 2013-2014.
- Computer Networks, 4th-year of Engineering in Computer Science, Polytech'Paris-Sud. 2013-2014.
[NS2 and TPs](https://www.lri.fr/~liu/reseauxAPP4).
- Computer and Internet Certificate, Université Paris-Sud. 2013-2014.
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Versatile black-box optimizationGECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.620-628, ⟨10.1145/3377930.3389838⟩
Conference papers
hal-03049284v1
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SM-ND, LU-HF AND MN-CR COMPOSITIONS OF EUCRITE, DIOGENITE AND UNGROUPED ACHONDRITES: IMPLICATIONS FOR THE FORMATION AND SOURCES OF DIFFERENTIATED PLANETESIMALS82nd Annual Meeting of The Meteoritical Society 2019(LPIContrib.No.2157), Jul 2019, Sapporo, Japan. pp.80 - 99
Conference papers
hal-02487406v1
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Direct Model Predictive Control: A Theoretical and Numerical AnalysisPSCC 2018 - XX Power Systems Computation Conference, Jun 2018, Dublin, Ireland
Conference papers
hal-01701623v1
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Learning opening books in partially observable games: using random seeds in Phantom GoCIG 2016 - Computer intelligence and Games, Sep 2016, Santorini, Greece. pp.55-61
Conference papers
hal-01413229v1
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The Rectangular Seeds of Domineering, Atari-Go and Breakthrough2015 IEEE Conference on Computational Intelligence and Games (CIG), Aug 2015, Tainan, Taiwan. pp.530 - 531, ⟨10.1109/CIG.2015.7317904⟩
Conference papers
hal-01245531v1
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Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.338 - 345, ⟨10.1109/CEC.2015.7256911⟩
Conference papers
hal-01245526v1
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Item response theory with fuzzy markup language for parameter estimation and validation2015 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 7, ⟨10.1109/FUZZ-IEEE.2015.7337884⟩
Conference papers
hal-01245695v1
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Nash Reweighting of Monte Carlo Simulations: Tsumego2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.1458 - 1465, ⟨10.1109/CEC.2015.7257060⟩
Conference papers
hal-01245520v1
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Differential Evolution for Strongly Noisy Optimization: Use 1.01$^n$ Resamplings at Iteration n and Reach the -1/2 Slope2015 IEEE Congress on Evolutionary Computation (IEEE CEC), May 2015, Sendai, Japan
Conference papers
hal-01120892v1
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Variance Reduction in Population-Based Optimization: Application to Unit CommitmentArtificial Evolution (EA2015), 2015, Lyon, France
Conference papers
hal-01194510v1
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A mathematically derived number of resamplings for noisy optimizationCompanion - Genetic and Evolutionary Computation Conference (GECCO 2014), Jul 2014, Vancouver, Canada. pp.61-62
Conference papers
hal-00979442v1
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Sparse Binary Zero-Sum GamesAsian Conference on Machine Learning, 2014, Ho-Chi-Minh-Ville, Vietnam. pp.16
Conference papers
hal-01077627v1
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Meta online learning: experiments on a unit commitment problemEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium
Conference papers
hal-00973397v1
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Differential Evolution Algorithm Applied to Non-Stationary Bandit Problem2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014), Jul 2014, Beijing, China
Conference papers
hal-00979456v1
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Algorithm Portfolios for Noisy Optimization: Compare Solvers EarlyLearning and Intelligent Optimization Conference, Feb 2014, Florida, United States
Conference papers
hal-00926638v1
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PHOTOVOLTAIC TECHNICAL CONFERENCE -THIN FILM & ADVANCED SILICON SOLUTIONS 2014- LIGHT TRAPPING IN HOLES OR PYRAMID PATTERNS FOR THIN FILM SOLAR CELLSPhotoVoltaic Technical Conference - Advanced materials and processes to innovative applications, May 2014, Aix-en-Provence, France
Conference papers
hal-01180707v1
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Noisy optimization convergence ratesProceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Jul 2013, Amsterdam, Netherlands. pp.223--224, ⟨10.1145/2464576.2464687⟩
Conference papers
hal-00863584v1
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Noisy OptimizationDagstuhl seminar 13271, 2013, Dagstuhl, Germany. 2013
Documents associated with scientific events
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