Zhenyu Liao副研究员（自然科学） Doctoral Degree in Engineering
廖振宇，于法国巴黎萨克雷大学获数学与计算机博士学位，后在美国加州大学伯克利分校从事博士后研究工作，于2021年起至今在华中科技大学电信学院工作，任副研究员。主要从事“面向高维数据的大规模机器学习的理论和方法”的研究，发展非线性高维统计学和随机矩阵理论以解决大规模机器学习中的基础理论问题，相关研究成果形成论文三十余篇，发表在ICML、NeurIPS、ICLR、COLT、SIGMOD、IEEE TKDE、IEEE TSP、AAP和JSTAT等机器学习...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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Social Affiliations
受邀任ICLR、ICML、IJCNN会议领域主席、Statistics and Computing期刊副主编。
受邀任加拿大CRM-Simons访问教授、法国自然科学基金ANR-CIMI访问教授。 -
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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