Name: Zhenyu Liao
Academic Title: (Research) Associate Professor
Email: zhenyu_liao@hust.edu.cn
Research Interests: (Statistical) Machine Learning, Signal Processing, Random Matrix Theory, High-dimensional Statistics
Education:
2010-2014B.Sc,Huazhong University of Science and Technology,Optical and Electronic Information.
2014-2016M. Sc,University of Paris-Saclay,Signal and Image Processing.Advised byProf.Romain Couillet
2016-2019Ph.D,University of Paris-Saclay,Math and Informatics. Advised by Prof.Romain Couillet
Employment and Work Experience:
2020-2021 Postdoctoral Researcher,University of California, Berkeley, Department of Statistics, hosted by Prof.Michael Mahoney
2021-now(Research) Associated Professor, Huazhong University of Science and Technology, School of Electronic Information and Communications
Teaching: Deep Learning and Computer Vision, with Prof. Xinggang Wang
Selected Publications:
Zhenyu Liao, Romain Couillet, and Michael W. Mahoney. Sparse Quantized Spectral Clustering. In:The Ninth International Conference on Learning Representations(ICLR). 2021.
Zhenyu Liao, Romain Couillet, and Michael W Mahoney. A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, A Precise Phase Transition, and the Corresponding Double Descent. In:Advances in Neural Information Processing Systems(NeurIPS). Vol. 33. 2020, pp.13939–13950.
Zhenyu Liaoand Romain Couillet. The Dynamics of Learning: A Random Matrix Approach. In:Proceedings of the 35th International Conference on Machine Learning(ICML). Vol. 80. PMLR, July 2018, pp.3072– 3081.
Zhenyu Liaoand Romain Couillet. On the Spectrum of Random Features Maps of High Dimensional Data. In:Proceedings of the 35th International Conference on Machine Learning(ICML). Vol. 80. PMLR, July 2018, pp.3063–3071.
Zhenyu Liaoand Romain Couillet. A Large Dimensional Analysis of Least Squares Support Vector Machines.IEEE Transactions on Signal Processing67(4) (Feb. 2019), 1065–1074.
Cosme Louart,Zhenyu Liao, and Romain Couillet. A Random Matrix Approach to Neural Networks.The Annals of Applied Probability28(2) (Apr. 2018), 1190–1248
Scientific Research Projects:
2018-2021:French Minister of Higher Education, Research and Innovation,GSTATS-IDEX DataScience Chairat University of Grenoble-Alpes, 300k(in euros)
2015-2017:French National Research Agency,ANR-14-CE28-0006:Random Matrix Theory for Large Dimensional Graphs, 300k(in euros)
Awards and Honors:
2021: Recipient of East Lake Youth Talent Program Fellowship, China.
2019: 2nd prize of ED STIC Ph.D. Student Award of University Paris-Saclay, France.
2016: Recipient of the Supélec Foundation Ph.D. Fellowship, France.
