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 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 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

2023 Fang, U., Li, M., Li, J., Gao, L., Jia, T., & Zhang, Y. (231201). A Comprehensive Survey on Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering, 35(12), (12350-12368).

doi: 10.1109/TKDE.2023.3270311

2023 Chen, X., Zhou, X., Chan, J., Chen, L., Sellis, T., & Zhang, Y. (231101). Complex Event Summarization Using Multi-Social Attribute Correlation. IEEE Transactions on Knowledge and Data Engineering, 35(11), (11180-11195).

doi: 10.1109/TKDE.2022.3227906

2023 Sun, L., Li, C., Liu, B., & Zhang, Y. (231001). Class-Driven Graph Attention Network for Multi-Label Time Series Classification in Mobile Health Digital Twins. IEEE Journal on Selected Areas in Communications, 41(10), (3267-3278).

doi: 10.1109/JSAC.2023.3310064

2023 Ge, Y. F., Bertino, E., Wang, H., Cao, J., & Zhang, Y. (230906). Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency. ACM Transactions on Knowledge Discovery from Data, 18(1),

doi: 10.1145/3613962

2023 Zhang, X., Zhang, G., Qiu, X., Yin, J., Tan, W., Yin, X., Yang, H., Liao, L., Wang, H., & Zhang, Y. (230901). Radiomics under 2D regions, 3D regions, and peritumoral regions reveal tumor heterogeneity in non-small cell lung cancer: a multicenter study. Radiologia Medica, 128(9), (1079-1092).

doi: 10.1007/s11547-023-01676-9

2023 Dai, Y., Qian, Y., Lu, F., Wang, B., Gu, Z., Wang, W., Wan, J., & Zhang, Y. (230901). Improving adversarial robustness of medical imaging systems via adding global attention noise. Computers in Biology and Medicine, 164

doi: 10.1016/j.compbiomed.2023.107251

2023 Sun, L., Li, Y., Zheng, M., Zhong, Z., & Zhang, Y. (230701). MCnet: Multiscale visible image and infrared image fusion network. Signal Processing, 208

doi: 10.1016/j.sigpro.2023.108996

2023 Sun, L., Zhou, R., Peng, D., Bouguettaya, A., & Zhang, Y. (230501). Automatically Building Service-Based Systems with Function Relaxation. IEEE Transactions on Cybernetics, 53(5), (2703-2716).

doi: 10.1109/TCYB.2022.3164767

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

Privacy preserving data sharing in electronic health environment
From: Nexus Grant, PVC (Research and Research Training), ARC - Linkage
Other investigators: Prof Hua Wang, Prof Yuan Miao
For period: 2016-2019
$589,808

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 Associate supervisor
1 PhD Principal supervisor
3 PhD Integrated Associate supervisor
1 PhD Integrated Principal supervisor
1 Master of Research Associate supervisor

Currently supervised research students at VU

Students & level Role
PhD (3) Associate supervisor
PhD (1) Principal supervisor
PhD Integrated (3) Associate supervisor
PhD Integrated (1) Principal supervisor
Master of Research (1) Associate supervisor

Completed supervision of research students at VU

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

Completed supervision of research students at VU

Students & level Role
PhD (6) Associate supervisor
PhD (16) Principal supervisor
PhD (1) Acting supervisor
Masters by Research (1) Associate supervisor
PhD Integrated (1) Principal supervisor
Master of Research (3) Associate supervisor

Careers

Details of this Researcher's career are currently unavailable.