JL
Jialin Liu
4
Documents
Présentation
[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.
Publications
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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⟩
Communication dans un congrès
hal-03049284v1
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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
Communication dans un congrès
hal-01413229v1
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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⟩
Communication dans un congrès
hal-01245526v1
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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
Communication dans un congrès
hal-01120892v1
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