Nombre de documents

20

Jialin LIU (刘佳琳), ph.D student


Jialin LIU's homepage

Short Introduction

I am a ph.D student (since April 2013) working on the project POST (INRIA), supervised by Olivier Teytaud and Marc Schoenauer. My ph.D topic is "Strategy Optimization With Uncertainties, with Applications in Energy Management". I'm a member of the TAO group (INRIA SaclayCNRSLRIUniversité Paris-Sud).

Contact

Office 2028, DIGITEO, bâtiment 660, Université Paris-Sud 
Rue Noetzlin, 91190 Gif-sur-Yvette, France 
Email : jialin.liu(@)inria.fr

CVs

Main Topics of Research

  • Reinforcement Learning

  • Noisy Optimization

  • Algorithm Selection

Education

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.
  • Computer and Internet Certificate, Université Paris-Sud. 2013-2014.


Article dans une revue5 documents

  • F Ouf, P. Parent, C. Laffon, I. Marhaba, D. Ferry, et al.. First in-flight synchrotron X-ray absorption and photoemission study of carbon soot nanoparticles. Scientific Reports, Nature Publishing Group, 2016, 6, pp.36495. 〈http://dx.doi.org/10.1038/srep36495〉. 〈10.1038/srep36495〉. 〈cea-01409226〉
  • Marie-Liesse Cauwet, Jialin Liu, Rozière Baptiste, Olivier Teytaud. Algorithm Portfolios for Noisy Optimization. Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2015, pp.1-30. 〈10.1007/s10472-015-9486-2〉. 〈hal-01223113〉
  • Sandra Astete-Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud. Simple and Cumulative Regret for Continuous Noisy Optimization. Journal of Theoretical Computer Science (TCS), Elsevier, 2015, 617, pp.12-27. 〈hal-01194564〉
  • N Jiao, C Robinson, F Azam, Hassan Thomas, F Baltar, et al.. Mechanisms of microbial carbon sequestration in the ocean – future research directions. Biogeosciences, European Geosciences Union, 2014, 11 (19), pp.5285-5306. 〈10.5194/bg-11-5285-2014〉. 〈hal-01308012〉
  • Cheng-Wei Chou, Ping-Chiang Chou, Jean-Joseph Christophe, Adrien Couetoux, Pierre De Freminville, et al.. Strategic Choices in Optimization. Journal of Information Sciences and Engineering, Institute of Information Science, 2013. 〈hal-00863577〉

Communication dans un congrès14 documents

  • Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud. Learning opening books in partially observable games: using random seeds in Phantom Go. Computer intelligence and Games (CIG 2016), Sep 2016, Santorini, Greece. 2016, Computer intelligence and Games. 〈hal-01413229〉
  • Jean-Joseph Christophe, Jérémie Decock, Jialin Liu, Olivier Teytaud. Variance Reduction in Population-Based Optimization: Application to Unit Commitment. Stephane Bonnevay and Pierrick Legrand and Nicolas Montmarché and Evelyne Lutton and Marc Schoenauer. Artificial Evolution (EA2015), 2015, Lyon, France. 2015. 〈hal-01194510〉
  • Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsang-Cheng Su, Fabien Teytaud, et al.. Differential Evolution for Strongly Noisy Optimization: Use 1.01$^n$ Resamplings at Iteration n and Reach the -1/2 Slope. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC), May 2015, Sendai, Japan. 2015, 〈http://www.cec2015.org〉. 〈hal-01120892〉
  • Tristan Cazenave, Jialin Liu, Olivier Teytaud. The Rectangular Seeds of Domineering, Atari-Go and Breakthrough. 2015 IEEE Conference on Computational Intelligence and Games (CIG), Aug 2015, Tainan, Taiwan. pp.530 - 531, 2015, 〈10.1109/CIG.2015.7317904〉. 〈hal-01245531〉
  • David L. St-Pierre, Jialin Liu, Olivier Teytaud. Nash Reweighting of Monte Carlo Simulations: Tsumego. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. IEEE Press, pp.1458 - 1465, 2015, 〈10.1109/CEC.2015.7257060〉. 〈hal-01245520〉
  • Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsang-Cheng Su, Fabien Teytaud, et al.. Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.338 - 345, 2015, 〈10.1109/CEC.2015.7256911〉. 〈hal-01245526〉
  • Wang Mei-Hui, Chi-Shiang Wang, Chang-Shing Lee, Olivier Teytaud, Jialin Liu, et al.. Item response theory with fuzzy markup language for parameter estimation and validation. 2015 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. IEEE Press, pp.1 - 7, 2015, 〈10.1109/FUZZ-IEEE.2015.7337884〉. 〈hal-01245695〉
  • H Ding, J Liu, L Lalouat, R Orobtchouk, C Seassal, et al.. PHOTOVOLTAIC TECHNICAL CONFERENCE -THIN FILM & ADVANCED SILICON SOLUTIONS 2014- LIGHT TRAPPING IN HOLES OR PYRAMID PATTERNS FOR THIN FILM SOLAR CELLS. PhotoVoltaic Technical Conference - Advanced materials and processes to innovative applications, May 2014, Aix-en-Provence, France. 〈hal-01180707〉
  • Jialin Liu, Olivier Teytaud. Meta online learning: experiments on a unit commitment problem. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium. 2014. 〈hal-00973397〉
  • David Auger, Jialin Liu, Sylvie Ruette, David L. Saint-Pierre, Olivier Teytaud. Sparse Binary Zero-Sum Games. Asian Conference on Machine Learning, 2014, Ho-Chi-Minh-Ville, Vietnam. 29, pp.16, 2014. 〈hal-01077627〉
  • David L. St-Pierre, Jialin Liu. Differential Evolution Algorithm Applied to Non-Stationary Bandit Problem. 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014), Jul 2014, Beijing, China. 2014. 〈hal-00979456〉
  • Jialin Liu, David L. Saint-Pierre, Olivier Teytaud. A mathematically derived number of resamplings for noisy optimization. Companion - Genetic and Evolutionary Computation Conference (GECCO 2014), Jul 2014, Vancouver, Canada. ACM, pp.61-62, 2014. 〈hal-00979442〉
  • Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud. Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. Learning and Intelligent Optimization Conference, Feb 2014, Florida, United States. 2014. 〈hal-00926638〉
  • Sandra Astete Morales, Jialin Liu, Olivier Teytaud. Noisy optimization convergence rates. Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Jul 2013, Amsterdam, Netherlands. ACM, pp.223--224, 2013, 〈10.1145/2464576.2464687〉. 〈hal-00863584〉

Document associé à des manifestations scientifiques1 document

  • Sandra Astete-Morales, Marie-Liesse Cauwet, Adrien Couetoux, Jérémie Decock, Jialin Liu, et al.. Noisy Optimization. Dagstuhl seminar 13271, 2013, Dagstuhl, Germany. 2013. 〈hal-00844305〉