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Zhenyu Liao副研究员（自然科学）

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... details>

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Professional Title:副研究员（自然科学）

Gender:Male

Status:Employed

Department:School of Electronic Information and Communications

Education Level:Postgraduate (Doctoral)

Degree:Doctoral Degree in Engineering

Discipline:
Signal and Information Processing
Signal and Information Processing

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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。

Educational 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-Postgraduate (Doctoral)-Doctoral Degree in Engineering

Work Experience

2020.1-2020.12

加州大学伯克利分校-统计系-博士后研究员

Research Projects | Paper Publications

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Zhenyu Liao副研究员（自然科学）

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。

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-Postgraduate (Doctoral)-Doctoral Degree in Engineering

2020.1-2020.12

加州大学伯克利分校-统计系-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), 124006.

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.

Zhenyu Liao副研究员（自然科学）

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。

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-Postgraduate (Doctoral)-Doctoral Degree in Engineering

2020.1-2020.12

加州大学伯克利分校-统计系-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), 124006.

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.

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。