Projects per year
Personal profile
Research interests
- Computational Statistics: Monte Carlo and quasi-Monte Carlo methods, Markov chain Monte Carlo.
- Data Analysis: statistical learning and machine learning algorithms.
- Data and Information Visualization.
Short Intro: Dr. Zhu joined the School of Mathematical and Physical Sciences as a Lecturer in Statistics in 2020. Her primary research is in computational statistics; in particular, she focuses on developing novel methodologies and efficient implementations to improve the understanding and advancement of computational statistics and data science in both theoretical and applied aspects.
Community engagement
- Statistical Society of Australia (SSA) NSW branch: council member (2021-2023) and workshop organizer (2022-2023).
- Department/School ECR rep (2020- May 2022), and deputy ECR rep of the School till Dec. 2022.
- School Research Training Committee member since May 2022.
- Research program organizer at MATRIX (Melbourne): Computational Mathematics for High-Dimensional Data in Statistical Learning.
Teaching
Undergraduate course:
- STAT1371: Statistical Data Analysis, 2020-2023, Macquarie Uni.
- STAT2173/6183: Introduction to Probability,2022, Macquarie Uni.
- STAT2371: Statistics, S2, 2021, Macquarie Uni.
- HLTH2110: Clinical Epidemiology and Biostatistics for Health Sciences, 2020, Macquarie Uni.
- MAST30034: Applied Data Science, The University of Melbourne, 2018.
Postgraduate course:
- STAT8150/7150: Bayesian Data Analysis, 2021-2023, Macquarie Uni.
- STAT8123/7123: Statistical Graphics, 2021, 2022 Macquarie Uni.
- Mathematical Background for Biostatistics (MBB), 2020 at BCA based at the University of Sydney.
- Probability and Distribution Theory (PDT）S1, 2022 at BCA.
Education/Academic qualification
Applied Mathematics, PhD, The University of New South Wales
Award Date: 17 Aug 2016
Applied Mathematics, Master of Research, China Jiliang University
Award Date: 25 Jun 2012
Applied Mathematics, Bachelor in Science, Shandong Normal University
Award Date: 21 Jun 2009
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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COMBSS: Best Subset Selection via Continuous Optimization
Moka, S., Liquet, B., Zhu, H. & Muller, S., 5 May 2022, (Submitted) arXiv.org, (arXiv).Research output: Working paper › Preprint
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Surface defect detection with modified real-time detector YOLOv3
Wang, Z., Zhu, H., Jia, X., Bao, Y. & Wang, C., 30 Jun 2022, In: Journal of Sensors. 2022, p. 1-10 10 p., 8668149.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)11 Downloads (Pure) -
A weighted discrepancy bound of quasi-Monte Carlo importance sampling
Dick, J., Rudolf, D. & Zhu, H., Jun 2019, In: Statistics and Probability Letters. 149, p. 100-106 7 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Analysis of framelet transforms on a simplex
Wang, Y. G. & Zhu, H., 2018, Contemporary computational mathematics - a celebration of the 80th birthday of Ian Sloan. Dick, J., Kuo, F. Y. & Woźniakowski, H. (eds.). Cham: Springer, Springer Nature, p. 1175-1189 15 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
2 Citations (Scopus) -
A discrepancy bound for deterministic acceptance-rejection samplers beyond N-1/2 in dimension 1
Zhu, H. & Dick, J., Jul 2017, In: Statistics and Computing. 27, 4, p. 901-911 11 p.Research output: Contribution to journal › Article › peer-review
Prizes
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