Personal profile
Author IDs
ORCID iD: 0000-0002-6008-6614
Scopus Author ID: 23972818200
Impact
Qualifications (Brief)
BSc (USTC) PhD(Brown)
Qualifications/Experiences
- 2014 - 2016, Senior Lecturer, University of New South Wales.
- 2007 - 2014, Assistant Professor, Nanyang Technological University.
Biography
Dr. Lian got his PhD in Applied Mathematics from Brown University in 2007. He joined the city university of HK in 2016, after 7 years as an assistant professor in Nanyang Technological University and then 2 years as a senior lecturer at the university of New South Wales. His research interest include high-dimensional data analysis, Bayesian statistics and functional data analysis.
Research Interests/Areas
- high-dimensional data analysis
- Bayesian statistics
- functional data analysis
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities
Fingerprint
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Collaborations from the last five years
Research output
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Fixed effects Bayesian testing in high-dimensional linear mixed models
Liu, J., Liu, X., Lian, H. & Xu, W., Mar 2026, In: Scandinavian Journal of Statistics. 53, 1, p. 442-481 40 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Generalized functional additive models in reproducing kernel Hilbert spaces
Peng, L., Liu, X. H., Rizk, Z., Zhou, Y. W. & Lian, H., 2026, In: Statistics and Its Interface. 19, 1, p. 71-84 14 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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High-Dimensional Inference for Single-Index Models With Latent Factors
Shi, Y., Hao, M., Tang, Y., Lian, H. & Guo, X., Jun 2026, In: Scandinavian Journal of Statistics. 53, 2, p. 1001-1027 27 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Linear convergence of proximal gradient method for linear sparse SVM
Jiao, X., Lian, H., Liu, J. & Zhang, Y., Feb 2026, In: Neural Networks. 194, 8 p., 108162.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Link opens in a new tab Citation (Scopus) -
Randomized tensor decomposition and optimization in the tucker and tensor train formats
Lu, W., Lin, H. & Lian, H., 15 Aug 2026, In: Journal of Computational and Applied Mathematics. 482, 117344.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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SZNSFC-GP-SRI: 分布式运算环境中的稳健估计
LIAN, H. (Principal Investigator / Project Coordinator)
21/10/25 → …
Project: Research
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GRF: Decentralized Learning: Statistics Meets Optimization
LIAN, H. (Principal Investigator / Project Coordinator)
1/10/24 → …
Project: Research
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NSFC-GP-SRI: 再生核希尔伯特空间中的分布式随机投影估计方法
LIAN, H. (Principal Investigator / Project Coordinator)
1/01/24 → …
Project: Research
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GRF: Low-rank Nonparametric Regression and Application to Reinforcement Learning
LIAN, H. (Principal Investigator / Project Coordinator)
1/01/23 → …
Project: Research
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ResEngCtrs/Hubs: Liu Bie Ju Centre for Mathematical Sciences (LBJ) (University Fund)
LU, Y. Y. (Principal Investigator / Project Coordinator), CHAN, H. F. R. (Co-Investigator), DAI, D. (Co-Investigator), FENG, H. (Co-Investigator), HO, W. C. D. (Co-Investigator), LIAN, H. (Co-Investigator), LIU, H. (Co-Investigator), LO, W. C. (Co-Investigator), MOU, C. (Co-Investigator), QIU, W. (Co-Investigator), SMALE, S. (Co-Investigator), WONG, S. C. R. (Co-Investigator), WYLIE, J. J. (Co-Investigator), XIANG, W. (Co-Investigator), ZHANG, S. (Co-Investigator), ZHOU, X. (Co-Investigator) & ZHUANG, X. (Co-Investigator)
1/11/97 → …
Project: Research
Prizes
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Stanford's Top 2% most highly cited scientists 2025
LIAN, H. (Recipient), Sept 2025
Prize: RGC 64B - Prizes and awards
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Stanford's top 2% most highly cited scientists 2023
LIAN, H. (Recipient), Oct 2023
Prize: RGC 64B - Prizes and awards
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Stanford's top 2% most highly cited scientists 2021
LIAN, H. (Recipient), Oct 2021
Prize: RGC 64B - Prizes and awards