Projects per year
Personal profile
Research interests
- Computational Statistics: High-dimensional data analysis, Bayesian computation, statistical learning and machine learning
- Applied Statistics: Data visualization and statistical modelling
Short Bio: Dr. Houying Zhu received her PhD in Applied Mathematics from the University of New South Wales. Before joining Macquarie University, she was a Research Associate at the City University of Hong Kong and a Maurice Belz Research Fellow in Statistics at the University of Melbourne. Her primary research lies in computational statistics, focusing on developing methodologies and efficient implementations to advance both the theoretical and applied aspects of computational statistics and data science.
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).
- Department/School ECR rep (2020-2022).
- 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 units at MQ:
- STAT1371: Statistical Data Analysis, 2020-2024
- STAT2173/6183: Introduction to Probability, 2022
- STAT2371: Statistics, 2021
- HLTH2110: Clinical Epidemiology and Biostatistics for Health Sciences, 2020
Postgraduate units at MQ:
- STAT8126/7126: Visualisation and Analysis of Multivariate Data, 2024
- STAT7900: Research Frontiers in Statistics, 2023, 2024, Macquarie Uni.
- STAT8150/7150: Bayesian Data Analysis, 2021-2024
- STAT8123/7123: Statistical Graphics, 2021, 2022
- Mathematical Background for Biostatistics (MBB), 2020 at BCA based at the University of Sydney.
- Probability and Distribution Theory (PDT） 2022 at BCA.
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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Cause-specific hazard Cox models with partly interval censoring - Penalized likelihood estimation using Gaussian quadrature
Descallar, J., Ma, J., Zhu, H., Heritier, S. & Wolfe, R., 25 Jul 2024, (E-pub ahead of print) In: Statistical Methods in Medical Research.Research output: Contribution to journal › Article › peer-review
Open Access -
COMBSS: best subset selection via continuous optimization
Moka, S., Liquet, B., Zhu, H. & Muller, S., Apr 2024, In: Statistics and Computing. 34, 2, p. 1-22 22 p., 75.Research output: Contribution to journal › Article › peer-review
Open AccessFile53 Downloads (Pure) -
ProteinEngine: Empower LLM with domain knowledge for protein engineering
Shen, Y., Lv, O., Zhu, H. & Wang, Y. G., 2024, Artificial intelligence in medicine : 22nd International Conference, AIME 2024 Salt Lake City, UT, USA, July 9–12, 2024 Proceedings, Part I. Finkelstein, J., Moskovitch, R. & Parimbelli, E. (eds.). Cham: Springer, p. 373-383 11 p. (Lecture Notes in Artificial Intelligence; vol. 14844).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Wildfire loss modeling: A flexible semiparametric approach
Raveendran, N., Zhu, H., Li, H. & Sofronov, G., 16 Sept 2024, (E-pub ahead of print) In: North American Actuarial Journal. 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive importance sampling and quasi-Monte Carlo methods for 6G URLLC systems
Ke, X., Zhu, H., Yi, K., He, G., Yang, G. & Wang, Y. G., 2023, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. Zorzi, M., Tao, M. & Saad, W. (eds.). Rome, Italy: Institute of Electrical and Electronics Engineers (IEEE), p. 5272-5278 7 p. (IEEE International Conference on Communications).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Prizes
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, Abhaya (Recipient), Mahmood, Adnan (Recipient), Beheshti, Amin (Recipient), McIver, Annabelle (Recipient), Bilgin, Ayse (Recipient), Liquet-Weiland, Benoit (Recipient), Svensson, Carl (Recipient), Ramakrishnan, Charanya (Recipient), Smith, Connor (Recipient), Molla-Aliod, Diego (Recipient), Vatsalan, Dinusha (Recipient), Xue, Emma (Recipient), Gupta, Gaurav (Recipient), Sofronov, Georgy (Recipient), Baker, Greg (Recipient), Liu, Guanfeng (Recipient), Asghar, Hassan (Recipient), Doosti, Hassan (Recipient), Zhu, Houying (Recipient), Jiang, Iris (Recipient), Zheng, James (Recipient), Lin, Huan (Recipient), Wu, Jia (Recipient), Ma, Jun (Recipient), Binkowski, Karol (Recipient), Dras, Mark (Recipient), Manuguerra, Maurizio (Recipient), Orgun, Mehmet (Recipient), Lay, Michael (Recipient), Zou, Nan (Recipient), Kordzakhia, Nino (Recipient), Busch, Peter (Recipient), Graham, Petra (Recipient), Schwitter, Rolf (Recipient), Chen, Shan (Recipient), Smith, Stephen (Recipient), Cassidy, Steve (Recipient), Prvan, Tania (Recipient), Fung, Thomas (Recipient), Li, Yan (Recipient), Wang, Yan (Recipient), Zhang, Yang (Recipient) & Zhou, Yipeng (Recipient), 2023
Prize: Other distinction
Activities
- 1 Organising a conference, workshop or event series
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Computational Mathematics for High-Dimensional Data in Statistical Learning
Josef Dick (Organiser), Michael Feischl (Organiser), Peter Kritzer (Organiser) & Houying Zhu (Organiser)
6 Feb 2023 → 17 Feb 2023Activity: Participating in or organising an event › Organising a conference, workshop or event series