Prof. LIAN Heng (練恒)
Research Output
- 2023
- Published
On Linear Convergence of ADMM for Decentralized Quantile Regression
Wang, Y. & Lian, H., 2023, In: IEEE Transactions on Signal Processing. 71, p. 3945-3955Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - 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. 6960-6971Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- 2022
- Published
Partially linear functional quantile regression in a reproducing kernel Hilbert space
Zhou, Y., Zhang, W., Lin, H. & Lian, H., Dec 2022, In: Journal of Nonparametric Statistics. 34, 4, p. 789–803 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - Published
Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated score
Di, F., Wang, L. & Lian, H., 10 Nov 2022, In: Statistics in Medicine. 41, 25, p. 5084-5101Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6 - Published
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
Lian, H., Nov 2022, Thirty-Sixth Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, 11 p. (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 4 - Online published
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Zhang, X., Wang, D., Lian, H. & Li, G., 10 Oct 2022, (Online published) In: Journal of Business & Economic Statistics .Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
PARTIALLY LINEAR ADDITIVE FUNCTIONAL REGRESSION
Liu, X., Lu, W., Lian, H., Liu, Y. & Zhu, Z., Oct 2022, In: Statistica Sinica. 32, 4, p. 2199-2216Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2 - Published
High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition
Wang, D., Zheng, Y., Lian, H. & Li, G., Sept 2022, In: Journal of the American Statistical Association. 117, 539, p. 1338-1356Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 36 - Published
High-dimensional quantile varying-coefficient models with dimension reduction
Zhao, W., Li, R. & Lian, H., Jan 2022, In: Metrika. 85, 1, p. 1–19Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2 - Published
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions
Lv, S. & Lian, H., 2022, In: Journal of Machine Learning Research. 23, 2.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10 - Published
Discussion of the paper ‘A review of distributed statistical inference’
Lian, H., 2022, In: Statistical Theory and Related Fields. 6, 2, p. 100-101 2 p.Research output: Journal Publications and Reviews › Comment/debate
- Published
High-Dimensional Dynamic Covariance Matrices With Homogeneous Structure
Ke, Y., Lian, H. & Zhang, W., 2022, In: Journal of Business & Economic Statistics . 40, 1, p. 96–110 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9 - Published
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification
Zhang, Y., Zhao, Y.-Y. & Lian, H., 2022, In: Journal of Machine Learning Research. 23, p. 1-24Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - 2021
- Published
Convergence rate for nonparametric quantile regression with a total variation penalty
Liu, J., Xu, W. & Lian, H., Dec 2021, In: Stat. 10, 1, e361.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - Published
Random projections for quantile ridge regression
Zhou, Y., Liang, J., Hu, Y. & Lian, H., Dec 2021, In: Stat. 10, 1, e386.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
Distributed learning for sketched kernel regression
Lian, H., Liu, J. & Fan, Z., Nov 2021, In: Neural Networks. 143, p. 368-376Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10 - Published
Sketched quantile additive functional regression
Zhang, Y. & Lian, H., 21 Oct 2021, In: Neurocomputing. 461, p. 17-26Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Published
Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces
Yang, G., Liu, X. & Lian, H., Oct 2021, In: Journal of Complexity. 66, 101568.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5 - Published
Ultra high-dimensional semiparametric longitudinal data analysis
Green, B., Lian, H., Yu, Y. & Zu, T., Sept 2021, In: Biometrics. 77, 3, p. 903-913Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6 - Published
Learning Rate for Convex Support Tensor Machines
Lian, H., Aug 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 8, p. 3755-3760 9174817.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5
