Projects per year
Personal profile
Research interests
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High-dimensional learning: Variable selection and feature extraction for large-scale data.
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Statistical computing: Efficient MCMC and quasi-Monte Carlo methods for modern inference.
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Modelling and visualisation: Interpretable models and tools to reveal patterns in real-world data.
Short Bio: Dr. Houying Zhu received her PhD in Applied Mathematics from the University of New South Wales. Prior to joining Macquarie University, she held research positions at the City University of Hong Kong and the University of Melbourne, where she was a Maurice Belz Research Fellow in Statistics. Her research focuses on computational statistics, with an emphasis on developing innovative methodologies and efficient implementations to advance both theoretical and applied aspects of the field. As Co-Director of the Statistical Modelling Research Group, she provides research leadership and mentorship to early-career researchers and HDR students through regular meetings, collaborative discussions, and project supervision.
Community engagement
- Board of Directors, International Association for Statistical Computing Asian Regional Section (IASC-ARS), 2023-2027
- Statistical Society of Australia (SSA) NSW branch: council member (2021-2023) and workshop organizer (2022-2023)
- FSE Travel Scheme Panel Member, since 2024
- Department/School ECR rep, 2020-2022
- School Research Training Committee, HDR mentor, since 2022
- Research program organizer at MATRIX (Creswick Melbourne): Computational Mathematics for High-Dimensional Data in Statistical Learning.
Teaching
Undergraduate units at MQ:
- STAT1371: Statistical Data Analysis, 2020-2025
- STAT2173/6183: Introduction to Probability, 2022
- STAT2371: Statistics, 2021
- HLTH2110: Clinical Epidemiology and Biostatistics for Health Sciences, 2020
Postgraduate units at MQ:
- STAT7900: Research Frontiers in Statistics, 2022-2025
- STAT8111: Generalized Linear Models, 2025
- STAT8150: Bayesian Data Analysis, 2021-2025
- STAT8126: Visualisation and Analysis of Multivariate Data, 2024-2025
- STAT8123/7123: Statistical Graphics, 2021-2022
- MBB (Mathematical Background for Biostatistics), Biostatistics Collaboration of Australia (BCA), 2020
- PDT (Probability and Distribution Theory), BCA, 2022
Education/Academic qualification
Applied Mathematics, PhD, The University of New South Wales
Award Date: 17 Aug 2016
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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Outside Studies Program (OSP)
Zhu, H. (Primary Chief Investigator)
1/07/23 → 31/12/23
Project: Research
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Air-HOLP: adaptive regularized feature screening for high dimensional correlated data
Joudah, I., Muller, S. & Zhu, H., Jun 2025, In: Statistics and Computing. 35, 3, p. 1-11 11 p., 63.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Downloads (Pure) -
An enhanced network with parallel graph node diffusion and node similarity contrastive loss for hyperspectral image classification
Ye, H., Huang, X., Zhu, H. & Cao, F., Mar 2025, In: Digital Signal Processing: A Review Journal. 158, p. 1-11 11 p., 104965.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Enhanced multi-object tracking via embedded graph matching and differentiable Sinkhorn assignment: addressing challenges in occlusion and varying object appearances
Zhang, Y., Liang, Y., Wang, J., Zhu, H. & Wang, Z., Jun 2025, In: Visual Computer. 41, 8, p. 6067-6085 19 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Semantic-spatial feature-fused cortical surface parcellation: a scale-unified spatial learning network with boundary contrastive loss
Ye, H., Liu, S., Li, M., Zhu, H. & Cao, F., Apr 2025, In: Medical & Biological Engineering & Computing. 63, 4, p. 987-1000 14 p.Research output: Contribution to journal › Article › peer-review
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Wildfire loss modeling: A flexible semiparametric approach
Raveendran, N., Zhu, H., Li, H. & Sofronov, G., 2025, In: North American Actuarial Journal. 29, 2, p. 329-344 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)21 Downloads (Pure)
Prizes
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File
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, A. (Recipient), Mahmood, A. (Recipient), Beheshti, A. (Recipient), McIver, A. (Recipient), Bilgin, A. (Recipient), Liquet-Weiland, B. (Recipient), Svensson, C. (Recipient), Ramakrishnan, C. (Recipient), Smith, C. (Recipient), Molla-Aliod, D. (Recipient), Vatsalan, D. (Recipient), Xue, E. (Recipient), Gupta, G. (Recipient), Sofronov, G. (Recipient), Baker, G. (Recipient), Liu, G. (Recipient), Asghar, H. (Recipient), Doosti, H. (Recipient), Zhu, H. (Recipient), Jiang, I. (Recipient), Zheng, J. (Recipient), Lin, H. (Recipient), Wu, J. (Recipient), Ma, J. (Recipient), Binkowski, K. (Recipient), Dras, M. (Recipient), Manuguerra, M. (Recipient), Orgun, M. (Recipient), Lay, M. (Recipient), Zou, N. (Recipient), Kordzakhia, N. (Recipient), Busch, P. (Recipient), Graham, P. (Recipient), Schwitter, R. (Recipient), Chen, S. (Recipient), Smith, S. (Recipient), Cassidy, S. (Recipient), Prvan, T. (Recipient), Fung, T. (Recipient), Li, Y. (Recipient), Wang, Y. (Recipient), Zhang, Y. (Recipient) & Zhou, Y. (Recipient), 2023
Prize: Other distinction
Activities
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EcoSta 2025, Tokyo. Session: Statistical Innovations with Serial and Correlated Data
Zhu, H. (Speaker)
21 Aug 2025Activity: Talk or presentation › Presentation
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Hailiang Ye
Zhu, H. (Host)
1 Feb 2024 → 1 Aug 2024Activity: Hosting a visitor › Hosting an academic visitor
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New South Wales Branch Event
Zhu, H. (Speaker)
16 May 2024Activity: Talk or presentation › Invited talk
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Computational Mathematics for High-Dimensional Data in Statistical Learning
Dick, J. (Organiser), Feischl , M. (Organiser), Kritzer, P. (Organiser) & Zhu, H. (Organiser)
6 Feb 2023 → 17 Feb 2023Activity: Participating in or organising an event › Organising a conference, workshop or event series