Xiaoyu Wang (王小玉)
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Xiaoyu Wang |
Short Bio
Xiaoyu Wang is a post-doctoral fellow, working with Prof. Zhang Tong since Sept. 2022, in Department of Mathematics, The Hong Kong University of Science and Technology. She worked with Prof. Mikael Johansson at Division of Decision and Control Systems, Royal Institute of Technology (KTH) from Sept 2020 to Aug 2022. She recieved a Ph.D. degree in computational mathematics, from University of Chinese Academy of Sciences & Academy of Mathematics and System Science (AMSS), CAS, China, under the supervision of Prof. Ya-xiang Yuan, in 2020; and a B.S. degree, in mathematics, School of Mathematics and Statistics, from Wuhan University, China, in 2015.
She is particularly interested in the optimization algorithms and its application in large scale machine learning. The topics she has been working on includes:
First-Order and Stochastic Optimization Algorithm
Stochastic Second-Order (Newton, Quasi-Newton, or Trust-Region) Algorithm
Learning Rate Policy in Stochastic Optimization
Applications of Optimization Methods in Machine Learning