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Number of documents

2

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.


Fabien Teytaud   

Conference papers2 documents

  • 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, ⟨10.1109/CEC.2015.7256911⟩. ⟨hal-01245526⟩
  • 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. ⟨hal-01120892⟩