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
- 03-15: new preprint - “On the analysis of optimization with fixed-rank matrices: a quotient geometric view.”
- 02-21: new preprint - “Optimization flows landing on the Stiefel manifold.”
- 01-07: new paper acceptance in SIAM Journal on Scientific Computing - “An orthogonalization-free parallelizable framework for all-electron calculations in density functional theory.”
- 12-30: new paper acceptance in SIAM Journal on Matrix Analysis and Applications - “New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition.”
- 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.
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
