| Year | Citation |
|---|---|
| 2023 | Zhu, X., Huang, X., Choi, B., Xu, J., Cheung, W. K., Zhang, Y., & Liu, J. (230301). Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies. IEEE Transactions on Knowledge and Data Engineering, 35(3), (2500-2514). |
| 2023 | Sun, L., Li, Y., Zheng, M., Zhong, Z., & Zhang, Y. (230301). MCnet:Multiscale Visible Image and Infrared Image Fusion Network. Signal Processing, (108996-108996). |
| 2023 | Yang, F., Xue, F., Zhang, Y., & Karypis, G. (230201). Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions. IEEE Transactions on Knowledge and Data Engineering, 35(2), (1681-1694). |
| 2023 | Sun, L., Liang, J., Zhang, C., Wu, D., & Zhang, Y. (230101). Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, (1-11). |
| 2023 | Supriya, S., Siuly, S., Wang, H., & Zhang, Y. (230101). Epilepsy Detection From EEG Using Complex Network Techniques: A Review. IEEE Reviews in Biomedical Engineering, 16 (292-306). |
| 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), |
| 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 |
| 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). |
| 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). |
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 453 publications, with a selection listed here.
A more comprehensive list of Yanchun's publications is available in the VU Research Repository.
Conference paper (showing 1)
| 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). |
Journal article (showing 9 of 191)
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: Australian Research Council - Discovery Project, Victoria University
For period: 2020-2022
|
$510,000 |
2018
|
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 |
2016
|
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 |
| 4 | 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 (4) | 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 |
| 1 | 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 (1) | Associate supervisor |
Careers
Details of this Researcher's career are currently unavailable.
