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Renfeng Peng (彭任锋)
Ph.D. student at AMSS

     

Renfeng Peng

Renfeng Peng is a Ph.D. student of the Optimization Group at Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS), under the supervision of Prof. Ya-xiang Yuan. He received the Bachelor degree (2021) in mathematics and applied mathematics at School of Mathematical Sciences, Tongji University. His research interests include low-rank matrix and tensor optimization, manifold optimization, and machine learning.

Updates

Education
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    University of Chinese Academy of Sciences (2021.09--present)

    Academy of Mathematics and Systems Science

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    Tongji University (2017.09--2021.07)

    School of Mathematical Sciences

Refereed papers & preprints

  1. Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition
    Bin, Gao, Renfeng, Peng, and Ya-xiang, Yuan
    Computational Optimization and Applications 2024
  2. Low-rank optimization on Tucker tensor varieties
    Bin, Gao, Renfeng, Peng, and Ya-xiang, Yuan
    arXiv preprint arXiv:2311.18324 2023
  3. Optimization on product manifolds under a preconditioned metric
    Bin, Gao, Renfeng, Peng, and Ya-xiang, Yuan
    arXiv preprint arXiv:2306.08873 2023
  4. A second order numerical scheme for fractional option pricing models
    Ling-Xi, Zhang, Ren-Feng, Peng, and Jun-Feng, Yin
    East Asian J. Appl. Math 2021

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LRTCTR
A Matlab solver for low-rank tensor completion in tensor ring decomposition.
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popman
A Matlab solver for preconditioned Riemannian optimization methods on product manifolds.
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TRAM
Tucker rank-adaptive method for Tucker tensor completion.

Contact

  • pengrenfeng (.a.t.) lsec.cc.ac.cn
  • Office: LanBai Building - 101, No.55, ZhongGuanCun East Road, Beijing 100190, China

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