Zhenyu Liao is a second year Ph.D. student, under the supervision of Prof. Romain Couillet and Prof. Yacine Chitour, with the Signals and Statistics group of Laboratoire des signaux et systèmes, CentraleSupélec, University Paris-Saclay. He received his B.Sc degree in Optical & Electronic Information from Huazhong University of Science & Technology, China and his M.Sc. degree in Signal and Image Processing from CentraleSupélec/Paris-Sud University, France in 2016.
Here is my CV in English.
M.Sc. in Signal & Image Processing, 2016
CentraleSupélec / Paris-Sud, France
B.Sc. in Optical & Electronic Info, 2014
Huazhong University of Sci & Tech, China
R. Couillet, Z. Liao, X. Mai, “Classification Asymptotics in the Random Matrix Regime”, European Signal Processing Conference (EUSIPCO’18), Rome, Italy, 2018. [paper]
Z. Liao, Y. Chitour, R. Couillet, “Almost Global Convergence to Global Minima for Gradient Descent in Deep Linear Networks”, (submitted to) The 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada, 2018. [paper]
Z. Liao, R. Couillet, “Random Matrices Meet Machine Learning: A Large Dimensional Analysis of LS-SVM”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’17), New Orleans, USA, 2017. [link] [slides]
C. Louart, Z. Liao, R. Couillet, “A Random Matrix Approach to Neural Networks”, The Annals of Applied Probability 28 (2), 1190-1248. [link]
Z. Liao, R. Couillet, “A Large Dimensional Analysis of Least Squares Support Vector Machines”, (submitted to) Journal of Machine Learning Research, 2017. [link]
I am a teaching assistant at CentraleSupélec, Signal and Statistics department, for the following courses: