Short Bio
Bin Gao is a postdoc in the workgroup mathematical optimization of Prof. Benedikt Wirth at the University of Münster. He received the Bachelor degree (2014) in mathematics at Sichuan University and the PhD (2019) in applied mathematics at the University of Chinese Academy of Sciences. From 2019 to 2021, he was a post-doctoral fellow at UCLouvain. His research interests include numerical methods for optimization on manifolds and their applications. He is also interested in machine learning and parallel/distributed optimization stemming from various research and engineering areas.
Updates
- 10-28: new paper acceptance in Computational Optimization and Applications - “A Riemannian rank-adaptive method for low-rank matrix completion.”
- 09-15: new paper acceptance in SIAM Journal on Matrix Analysis and Applications - “Computing symplectic eigenpairs of symmetric positive-definite matrices via trace minimization and Riemannian optimization.”
- 09-01: I’m now working for University of Münster.
- 04-26: Our paper “Geometry of the symplectic Stiefel manifold endowed with the Euclidean metric” has been accepted to GSI’21.
- 03-30: Our preprint “A Riemannian rank-adaptive method for low-rank matrix completion” is available online.
- 03-23: Our paper “Riemannian optimization on the symplectic Stiefel manifold” has been accepted for publication in SIAM Journal on Optimization.
- 03-14: Our paper “Multipliers correction methods for optimization problems over the Stiefel manifold” has been accepted for publication in CSIAM Transactions on Applied Mathematics.
- 03-02: Our preprint “Geometry of the symplectic Stiefel manifold endowed with the Euclidean metric” has been submitted to the conference GSI’21.
- 01-26: Our preprint “New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition” is available online.
- 01-07: Our preprint “Symplectic eigenvalue problem via trace minimization and Riemannian optimization” is available online.
Interests
- Riemannian Optimization
- Parallel/Distributed Computing
- Machine Learning
Education
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Ph.D. in Applied Mathematics, 2019
University of Chinese Academy of Sciences
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B.Sc. in Mathematics, 2014
Sichuan University, China
