Section: Overview
Overview
Key publications
Research funding
Supervising & teaching
Career

Key details

Areas of expertise

  • Data mining
  • Data science
  • Artificial intelligence
  • Health informatics
  • Databases

Available to supervise research students

Not available for media queries

About Yanchun Zhang

Professor Zhang is an international research leader in databases, data mining, health informatics, web information systems, and web services. He has published over 300 research papers in international journals and conferences proceedings, and authored/edited 20 books.

His research has been supported by a number of Australian Research Council (ARC) linkage projects and discovery project grants. His research has made significant impacts on society. For example, the multidisciplinary research into e-health has produced software systems and mapping tools to assist relevant government/industry organisations establish health needs, allowing the development of policy based on firm evidence. Some of the organisations assisted include:

  • World Health Organization
  • Tasmanian Department of Health and Human Services
  • Royal Brisbane and Women's Hospital
  • Westgate General Practice Network, Melbourne.

 

Professor Zhang is the Editor-In-Chief of World Wide Web journal (Springer), and Health Information Science and Systems (Springer). He is Chairman of the International Web Information Systems Engineering Society (WISE Society.)

He won the VU's Medal for Excellence in Research in 2005, and the VU Vice Chancellor's Peak Award for Research and Research Training in Research Supervision in 2011, respectively.

He was a member of Australian Research Council's College of Experts (2008-2010), and serves as expert panel-member at various international funding agencies such as National Natural Science Fund of China (NSFC), 'National 1000 Talents Program' of China, the Royal Society of New Zealand Marsden Fund.

Qualifications

  • PhD, The University of Queensland (UQ), Australia, 1991

Key publications

Year Citation
2024 Xiao, F., Hong, W., Yin, J., Wang, H., Cao, J., & Zhang, Y. (240101). A Study onHistorical Behaviour Enabled Insider Threat Prediction (pp. 464-476).

doi: 10.1007/978-981-97-2387-4_31

Year Citation
2024 Ge, Y. -F., Wang, H., Cao, J., Zhang, Y., & Kambourakis, G. (240714). Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (pp. 749-758). ACM.

doi: 10.1145/3638529.3654200

Year Citation
2025 Zhang, J., Zhang, Y., Qiu, H., Wang, T., Li, X., Zhu, S., Huang, M., Zhuang, J., Shi, Y., & Xu, X. (250201). Constrained multi-scale dense connections for biomedical image segmentation. Pattern Recognition, 158

doi: 10.1016/j.patcog.2024.111031

2024 Zhang, X., Zhang, G., Qiu, X., Yin, J., Tan, W., Yin, X., Yang, H., Wang, H., & Zhang, Y. (241201). Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes. Biomarker Research, 12(1),

doi: 10.1186/s40364-024-00561-5

2024 Yin, J., Hong, W., Wang, H., Cao, J., Miao, Y., & Zhang, Y. (240731). A Compact Vulnerability Knowledge Graph for Risk Assessment. ACM Transactions on Knowledge Discovery from Data, 18(8),

doi: 10.1145/3671005

2024 Sun, L., Liang, J., Zhang, C., Wu, D., & Zhang, Y. (240301). Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, 25(3), (2757-2767).

doi: 10.1109/TITS.2023.3250962

2024 Zhang, X., Zhang, G., Qiu, X., Yin, J., Tan, W., Yin, X., Yang, H., Wang, H., & Zhang, Y. (240201). Non-invasive decision support for clinical treatment of non-small cell lung cancer using a multiscale radiomics approach. Radiotherapy and Oncology, 191

doi: 10.1016/j.radonc.2024.110082

2024 Qian, Y., Chen, K., Wang, B., Gu, Z., Ji, S., Wang, W., & Zhang, Y. (240101). Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs. IEEE Transactions on Information Forensics and Security, 19 (7633-7645).

doi: 10.1109/TIFS.2024.3430508

2024 Sun, L., Li, C., Ren, Y., & Zhang, Y. (240101). A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification. IEEE Transactions on Neural Networks and Learning Systems,

doi: 10.1109/TNNLS.2024.3369064

2024 Ge, Y. F., Wang, H., Bertino, E., Zhan, Z. H., Cao, J., Zhang, Y., & Zhang, J. (240101). Evolutionary Dynamic Database Partitioning Optimization for Privacy and Utility. IEEE Transactions on Dependable and Secure Computing, 21(4), (2296-2311).

doi: 10.1109/TDSC.2023.3302284

Research funding for the past 5 years

Please note:

  • Funding is ordered by the year the project commenced and may continue over several years.
  • Funding amounts for contact research are not disclosed to maintain commercial confidentiality.
  • The order of investigators is not indicative of the role they played in the research project.

Effective and Efficient Situation Awareness in Big Social Media Data
From: Victoria University, Australian Research Council - Discovery Project
For period: 2020-2022
$510,000

Deep Mining Neurological Abnormalities from Brain Signal Data
From: ARC - Linkage
Other investigators: Prof Hua Wang
For period: 2018-2021
$371,662
Increasing data quality with group associations in outsourcing environment
From: Australian Research Council - Discovery Project, College of Engineering and Science, PVC (Research and Research Training)
Other investigators: Prof Hua Wang
For period: 2018-2021
$754,989

Supervision of research students at VU

Available to supervise research students

Not available for media queries

Currently supervised research students at VU

No. of students Study level Role
3 PhD Integrated Associate supervisor
1 PhD Integrated Principal supervisor
2 PhD Associate supervisor
1 PhD Principal supervisor

Currently supervised research students at VU

Students & level Role
PhD Integrated (3) Associate supervisor
PhD Integrated (1) Principal supervisor
PhD (2) Associate supervisor
PhD (1) Principal supervisor

Completed supervision of research students at VU

No. of students Study level Role
7 PhD Associate supervisor
16 PhD Principal supervisor
1 PhD Acting supervisor
1 Masters by Research Associate supervisor
1 PhD Integrated Principal supervisor
4 Master of Research Associate supervisor

Completed supervision of research students at VU

Students & level Role
PhD (7) Associate supervisor
PhD (16) Principal supervisor
PhD (1) Acting supervisor
Masters by Research (1) Associate supervisor
PhD Integrated (1) Principal supervisor
Master of Research (4) Associate supervisor

Careers

Details of this Researcher's career are currently unavailable.