Biography

Yu Guan is a post-doctoral fellow in the ICTEAM institute at UCLouvain working with Prof. Pierre-Antoine Absil. Her research interests include tensor decomposition, tensor completion and machine learning. She got her PHD degree at National University of Singapore under the supervisor Prof. Delin Chu. She had a visiting exprience working with Prof. Moody T. Chu.

Interests

  • Tensor Problem
  • Machine Learning
  • Optimization

Education

  • PhD in Applied Mathematics, 2018

    National University of Singapore

  • MSc in Applied Mathematics, 2014

    Shanghai University

  • BSc in Mathematics, 2011

    Shanghai University

Publications

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Thesis

Yu Guan, Convergence Aanalysis on SVD-based Algorithms for Tensor Low Rank Approximations, Ph.D. thesis, National University of Singapore, (2018). PDF Slides

Journal Papers

Yu Guan, Moody T Chu, Delin Chu. Convergence analysis of an SVD-based algorithm for the best rank-1 tensor approximation. Linear Algebra and its Applications, 555(2018), 53-69.

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Yu Guan, Delin Chu. Numerical computation for orthogonal low-rank approximation of tensors. SIAM Journal on Matrix Analysis and Applications, 40(2019), 1047-1065.

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Yu Guan, Zhaojia Tong. Solutions of minus partial ordering equations over von Neumann regular rings. Open Mathematics, 13(2015), 229-238.

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Yu Guan, Moody T Chu, Delin Chu. SVD-based algorithms for the best rank-1 approximation of a symmetric tensor. SIAM Journal on Matrix Analysis and Applications, 39(2018), 1095-1115.

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Research

Long-term Collaborators & Groups

Selected Presentations

Academic Visits

Duration Place Host
July 2017-Jan 2018 North Carolina State University Prof. Moody T. Chu

Selected Awards
2014-2018 NUS Research Scholarship, National University of Singapore
2014 Honor Gradute Student Award, Shanghai University
2013 National Scholarship, awarded by Ministry of Education of China
2009 Academic Scholarship, Shanghai University

Contact

  • ricky7guanyu@gmail.com
  • Avenue Georges Lemaître, 4 - bte L4.05.01, Louvain-la-Neuve, 1348