Zhenyu Liao副研究员（自然科学） Doctoral Degree in Engineering
廖振宇，现任华中科技大学电信学院副研究员，2014年本科毕业于华中科技大学，分别于2016年硕士、2019年博士毕业于法国巴黎萨克雷大学，2020年于美国加州大学伯克利分校从事博士后研究工作。2016年法国Supélec Foundation Ph.D. Fellowship获得者，2019年巴黎萨克雷大学ED STIC Ph.D. Student Award获得者，2021年湖北省武汉英才和华中科技大学东湖青年学者。研究方向为机器学习理论和应用，随机矩阵理论和高维统计学。在ICML、N...details>
副研究员（自然科学）
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Department:School of Electronic Information and Communications
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Research Focus
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Education Experience
2010/9-2014/6华中科技大学 Undergraduate (Bachelor’s degree)
2014/9-2019/12法国中央高等电力学校 Doctoral Degree in Engineering | Postgraduate (Doctoral)
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Work Experience
2020/1-2020/12统计系 | 加州大学伯克利分校 | 博士后研究员
- 1.Cosme Louart, Zhenyu Liao, and Romain Couillet. A Random Matrix Approach to Neural Networks. The Annals of Applied Probability 28(2) (Apr. 2018), 1190–1248.
- 2.Zhenyu Liao and Romain Couillet. A Large Dimensional Analysis of Least Squares Support Vector Machines. IEEE Transactions on Signal Processing 67(4) (Feb. 2019), 1065–1074.
- 3.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. Journal of Statistical Mechanics: Theory and Experiment 2021(12) (Dec. 2021),...
- 4.Zhenyu Liao and Romain Couillet. On the Spectrum of Random Features Maps of High Dimensional Data. International Conference on Machine Learning (ICML). Vol. 80. PMLR, July, 2018, pp.3063–3071.
- 5.Zhenyu Liao and Romain Couillet. The Dynamics of Learning: A Random Matrix Approach. International Conference on Machine Learning (ICML). Vol. 80. PMLR, July 2018, pp.3072–3081.
- 6.Michal Derezinski, Feynman T Liang, Zhenyu Liao, and Michael W. Mahoney. Precise expressions for random projections: Low-rank approximation and randomized Newton. Advances in Neural Information Processing Systems (NeurIPS). Vol. 33. Curran Associates, Inc., 2020, pp.18272–182...
Research Group
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