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
2022 Ge, Y. F., Orlowska, M., Cao, J., Wang, H., & Zhang, Y. (220901). MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation Paper presented at VLDB Journal (pp. 957-975).

doi: 10.1007/s00778-021-00718-w

Year Citation
2022 Pandey, D., Wang, H., Yin, X., Wang, K., Zhang, Y., & Shen, J. (221201). Automatic breast lesion segmentation in phase preserved DCE-MRIs. Health Information Science and Systems, 10(1),

doi: 10.1007/s13755-022-00176-w

2022 Zhang, X., Zhang, Y., Zhang, G., Qiu, X., Tan, W., Yin, X., & Liao, L. (221101). Prospective clinical research of radiomics and deep learning in oncology: A translational review. Critical Reviews in Oncology/Hematology, 179

doi: 10.1016/j.critrevonc.2022.103823

2022 Chen, X., Zhou, X., Chan, J., Chen, L., Sellis, T., & Zhang, Y. (221001). Event Popularity Prediction Using Influential Hashtags From Social Media. IEEE Transactions on Knowledge and Data Engineering, 34(10), (4797-4811).

doi: 10.1109/TKDE.2020.3048428

2022 Liu, F., Zhou, X., Cao, J., Wang, Z., Wang, T., Wang, H., & Zhang, Y. (220601). Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN. IEEE Transactions on Knowledge and Data Engineering, 34(6), (2626-2640).

doi: 10.1109/TKDE.2020.3014806

2022 Yin, X. X., Baghai-Wadji, A., & Zhang, Y. (220515). A Biomedical Perspective in Terahertz Nano-Communications-A Review. IEEE Sensors Journal, 22(10), (9215-9227).

doi: 10.1109/JSEN.2022.3161013

2022 Li, C., Tang, Y., Tang, Z., Cao, J., & Zhang, Y. (220301). Motif-based embedding label propagation algorithm for community detection. International Journal of Intelligent Systems, 37(3), (1880-1902).

doi: 10.1002/int.22759

2022 Sun, L., Zhou, R., Peng, D., Bouguettaya, A., & Zhang, Y. (220101). Automatically Building Service-Based Systems With Function Relaxation. IEEE Transactions on Cybernetics,

doi: 10.1109/TCYB.2022.3164767

2022 Yin, X. X., Miao, Y., & Zhang, Y. (220101). Time Series Based Data Explorer and Stream Analysis for Anomaly Prediction. Wireless Communications and Mobile Computing, 2022

doi: 10.1155/2022/5885904

2022 Sarki, R., Ahmed, K., Wang, H., Zhang, Y., & Wang, K. (220101). Convolutional Neural Network for Multi-class Classification of Diabetic Eye Disease. EAI Endorsed Transactions on Scalable Information Systems, 9(4),

doi: 10.4108/eai.16-12-2021.172436

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: Australian Research Council - Discovery Project, Victoria University
For period: 2020-2022
$510,000

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

Privacy preserving data sharing in electronic health environment
From: ARC - Linkage, PVC (Research and Research Training), Nexus Grant
Other investigators: Dr 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
1 PhD Principal supervisor
2 PhD Associate supervisor
3 PhD Integrated Associate supervisor
1 PhD Integrated Principal supervisor
2 Master of Research Associate supervisor
1 Master of Research Principal supervisor

Currently supervised research students at VU

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

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

Careers

Details of this Researcher's career are currently unavailable.