Low-rank tensor as a Dimension Reduction Tool in Complex Data Analysis

Project: Research

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Research Output

  1. 2025
  2. Published

    Improved analysis of supervised learning in the RKHS with random features: Beyond least squares

    Liu, J., Wang, L. & Lian, H., Apr 2025, In: Neural Networks. 184, 107091.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  3. Online published

    Tensor train regression with convex regularization

    Peng, J., Lin, H. & Lian, H., 26 Mar 2025, (Online published) In: Statistics.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  4. 2024
  5. Online published

    Sample Efficient Nonparametric Regression via Low-Rank Regularization

    Jiang, J., Peng, J. & Lian, H., 22 Nov 2024, (Online published) In: Journal of Computational and Graphical Statistics.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  6. Published

    Locally adaptive sparse additive quantile regression model with TV penalty

    Wang, Y., Lin, H., Fan, Z. & Lian, H., Sept 2024, In: Journal of Statistical Planning and Inference. 232, 106144.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 5
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  7. Published

    Sparse multiple kernel learning: Minimax rates with random projection

    Lu, W., Zhu, Z., Li, R. & Lian, H., Jul 2024, In: Journal of Statistical Planning and Inference. 231, 106142.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  8. Published

    Linear convergence of decentralized estimation for statistical estimation using gradient method

    Xu, W., Wang, K. & Lian, H., 1 Jun 2024, In: Neurocomputing. 584, 127584.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  9. Published

    Sparse additive support vector machines in bounded variation space

    Wang, Y. & Lian, H., Mar 2024, In: Information and Inference. 13, 1, iaae003.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  10. Published

    Statistical performance of quantile tensor regression with convex regularization

    Lu, W., Zhu, Z., Li, R. & Lian, H., Mar 2024, In: Journal of Multivariate Analysis. 200, 105249.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 2
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  11. Published

    More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization

    Liu, X., Lian, H. & Huang, J., 2024, In: Journal of Machine Learning Research. 25, 27 p., 161.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  12. 2023
  13. Published

    Communication-efficient estimation of quantile matrix regression for massive datasets

    Yang, Y., Wang, L., Liu, J., Li, R. & Lian, H., Nov 2023, In: Computational Statistics and Data Analysis. 187, 107812.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 4
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  14. Published

    On Optimal Learning With Random Features

    Liu, J. & Lian, H., Nov 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 11, p. 9536-9541

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 4
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  15. Published

    Decentralized learning over a network with Nyström approximation using SGD

    Lian, H. & Liu, J., Sept 2023, In: Applied and Computational Harmonic Analysis. 66, p. 373-387

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 2
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  16. Published

    Properties of Standard and Sketched Kernel Fisher Discriminant

    Liu, J., Xu, W., Zhang, F. & Lian, H., Aug 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 8, p. 10596-10602 8 p.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  17. Published

    Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions

    Green, B., Lian, H., Yu, Y. & Zu, T., Jul 2023, In: Journal of Multivariate Analysis. 196, 105175.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  18. Published

    SPARSE AND LOW-RANK MATRIX QUANTILE ESTIMATION WITH APPLICATION TO QUADRATIC REGRESSION

    Lu, W., Zhu, Z. & Lian, H., Apr 2023, In: Statistica Sinica. 33, 2, p. 945-959

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 7
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  19. Published

    Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis

    Zu, T., Lian, H., Green, B. & Yu, Y., Mar 2023, In: Journal of the American Statistical Association. 118, 541, p. 97–108

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 7
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  20. Online published

    Distributed estimation of functional linear regression with functional responses

    Liu, J., Li, R. & Lian, H., 22 Feb 2023, (Online published) In: Metrika. 87, 1, p. 21-30

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  21. Published

    On Linear Convergence of ADMM for Decentralized Quantile Regression

    Wang, Y. & Lian, H., 2023, In: IEEE Transactions on Signal Processing. 71, p. 3945-3955

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
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  22. Published

    Sketched approximation of regularized canonical correlation analysis

    Liu, J., Xu, W., Lin, H. & Lian, H., 2023, In: Communications in Statistics - Theory and Methods. 52, 19, p. 6960-6971

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  23. 2022
  24. Published

    PARTIALLY LINEAR ADDITIVE FUNCTIONAL REGRESSION

    Liu, X., Lu, W., Lian, H., Liu, Y. & Zhu, Z., Oct 2022, In: Statistica Sinica. 32, 4, p. 2199-2216

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
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