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 |
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), |
2024 | Qian, Y., Lian, Z., Li, Y., Wang, W., Gu, Z., Wang, B., & Zhang, Y. (241101). Evading backdoor defenses: Concealing genuine backdoors through scapegoat strategy. Computers & Security, (104225-104225). |
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). |
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 |
2024 | Zhou, Q., Wu, J., Dai, H., Yang, G., & Zhang, Y. (240101). An Intelligent Ride-Sharing Recommendation Method Based on Graph Neural Network and Evolutionary Computation. IEEE Transactions on Intelligent Transportation Systems, |
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). |
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
Yanchun has over 547 publications, with a selection listed here.
A more comprehensive list of Yanchun's publications is available in the VU Research Repository.
Book chapter (showing 1)
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). |
Conference paper (showing 1)
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 GECCO 2024 - Proceedings of the 2024 Genetic and Evolutionary Computation Conference (pp. 749-758). |
Journal article (showing 8 of 247)
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.
2020
Effective and Efficient Situation Awareness in Big Social Media Data
From: Victoria University, Australian Research Council - Discovery Project
For period: 2020-2022
|
$510,000 |
2018
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 |