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
2025 Xu, P., Yin, J., Cao, J., & Zhang, Y. (250101). The Impact ofCOVID-19 onGlobal GMAT Test-Taking Patterns: A Statistical Analysis (pp. 303-312). Springer Nature Singapore.

doi: 10.1007/978-981-96-5597-7_27

2025 Qiao, X., Zhou, X., Zhou, C., Wang, H., & Zhang, Y. (250101). EBUD: Evolving Disaster Burst Detection overSocial Streams (pp. 105-115).

doi: 10.1007/978-981-96-0567-5_9

Year Citation
2025 Zhou, X., Chen, L., He, C., Wu, J., Zhou, W., Shao, J., & Zhang, Y. (250508). A Responsible and Extendable Context-Aware Recommender System Paper presented at Companion Proceedings of the ACM on Web Conference 2025 (pp. 2955-2958). ACM.

doi: 10.1145/3701716.3715164

Year Citation
2025 Zhang, X., Qiu, X., Zhang, Y., Lai, Q., Zhang, Y., & Zhang, G. (251201). Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach. Cancer Imaging, 25(1),

doi: 10.1186/s40644-025-00824-w

2025 Qian, Y., Lian, Z., Li, Y., Wang, W., Gu, Z., Wang, B., & Zhang, Y. (250301). Evading backdoor defenses: Concealing genuine backdoors through scapegoat strategy. Computers and Security, 150

doi: 10.1016/j.cose.2024.104225

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

2025 Sun, L., Liu, S., Qu, Z., & Zhang, Y. (250101). A Federated Learning-based Zero-trust Model with Secure Dynamic Trust Evaluation and Knowledge Transfer. IEEE Journal on Selected Areas in Communications,

doi: 10.1109/JSAC.2025.3560041

2025 Zhou, Q., Wu, J., Dai, H., Yang, G., & Zhang, Y. (250101). An Intelligent Ride-Sharing Recommendation Method Based on Graph Neural Network and Evolutionary Computation. IEEE Transactions on Intelligent Transportation Systems, 26(1), (569-578).

doi: 10.1109/TITS.2024.3485985

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

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
2 PhD Associate supervisor
1 PhD Principal supervisor

Currently supervised research students at VU

Students & level Role
PhD Integrated (3) Associate 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.