| Year | Citation |
|---|---|
| 2020 | Yuan, Y., Chang, S., Zhang, Z., Li, Z., Li, S., Xie, P., Yau, W. P., Lin, H., Cai, W., & Zhang, Y. (200415). A novel strategy for prediction of human plasma protein binding using machine learning techniques. Chemometrics and Intelligent Laboratory Systems, 199 |
| 2020 | Gao, W., Peng, M., Wang, H., Zhang, Y., Han, W., Hu, G., & Xie, Q. (200328). Generation of topic evolution graphs from short text streams. Neurocomputing, 383 (282-294). |
| 2020 | Hassan, A. R., Subasi, A., & Zhang, Y. (200305). Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise. Knowledge-Based Systems, 191 |
| 2020 | Qin, D., Zhou, X., Chen, L., Huang, G., & Zhang, Y. (200301). Dynamic Connection-Based Social Group Recommendation. IEEE Transactions on Knowledge and Data Engineering, 32(3), (453-467). |
| 2020 | Yue, Z., Ding, S., Zhao, W., Wang, H., Ma, J., Zhang, Y., & Zhang, Y. (200301). Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM with Multistate CNN Features. IEEE Journal of Biomedical and Health Informatics, 24(3), (844-854). |
| 2020 | Zhang, J., Yang, C., Yang, Q., Lin, Y., & Zhang, Y. (200201). HGeoHashBase: an optimized storage model of spatial objects for location-based services. Frontiers of Computer Science, 14(1), (208-218). |
| 2020 | Yin, X., Irshad, S., & Zhang, Y. (200101). Classifiers fusion for improved vessel recognition with application in quantification of generalized arteriolar narrowing. Journal of Innovative Optical Health Sciences, 13(1), |
| 2020 | Han, W., Peng, M., Xie, Q., Hu, G., Gao, W., Wang, H., Zhang, Y., & Liu, Z. (200101). DTC: Transfer learning for commonsense machine comprehension. Neurocomputing, |
| 2020 | Hacid, H., Cellary, W., Wang, H., & Zhang, Y. (200101). Preface to the special issue on web information systems engineering (WISE 2018). World Wide Web, |
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.
Prof 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 387 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 of 193)
| Year | Citation |
|---|---|
| 2020 | Liang, S., Zhang, Y., & Ma, J. (200401). Active model selection for positive unlabeled time series classification Paper presented at Proceedings - International Conference on Data Engineering (pp. 361-372). |
Journal article (showing 9 of 153)
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: ARC - Discovery, Victoria University
For period: 2020-2022
|
$510,000 |
2018
|
Deep Mining Neurological Abnormalities from Brain Signal Data
From: ARC - Linkage
Investigators: Dr Hua Wang
For period: 2018-2021
|
$371,662 |
|
Increasing data quality with group associations in outsourcing environment
From: ARC - Discovery
Investigators: Dr Hua Wang
For period: 2018-2020
|
$377,725 |
2017
|
To Investigate the usability and value to Clinicians (Chinese Medicine Practitioners and Wester Medicine Practitioners) - Chinese Herbal Medicine Interaction.
From: UnityHealth Pty Ltd Fund
For period: 2017-2017
|
Not disclosed |
2016
|
Deep Learning for Automatic Anomaly Detection in Breast Magnetic Resonance Images.
From: EEC Bio-Tech (Guangzhou) Co., Ltd
Investigators: Prof Yuan Miao, Dr Xiaoxia Yin, Prof Hong Xu
For period: 2016-2017
|
$9,000 |
|
Privacy preserving data sharing in electronic health environment
From: ARC - Linkage, Nexus Grant
Investigators: Prof Yuan Miao, Dr Hua Wang
For period: 2016-2019
|
$406,892 |
2014
|
Deep Data Mining for Anomaly Prediction from Sensor Data Streams
From: ARC - Discovery
For period: 2014-2016
|
$340,006 |
2013
|
Measuring and mining genetic variation related to disbetes mellitus type II. (Nanjing Nandian funded.)
From: Nanjing Nandian Software Technology
Investigators: Prof Yuan Miao, Dr Xiaoxia Yin
For period: 2013-2017
|
$139,216 |
|
Using Data Mining Methods to Remove Uncertainties in Sensor Data Streams
From: ARC - Discovery
For period: 2013-2017
|
$284,299 |
2010
|
Real-time and Self-Adaptive Stream Data Analyser for Intensive Care Management
From: Royal Brisbane and Women's Hospital, Jiangsu Provincial Key Laboratory of E-Business, ARC - Linkage, Australian e-Health Research Centre
For period: 2010-2017
|
$503,824 |
|
Data Exchange and Service Integration with Applications in Health Information Systems
From: ARC - Linkage, Westgate General Practice Network
Investigators: Prof Yuan Miao
For period: 2010-2017
|
$517,543 |
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 | Masters by Research | Principal supervisor |
| 11 | PhD | Principal supervisor |
| 1 | PhD | Associate supervisor |
Currently supervised research students at VU
| Students & level | Role |
|---|---|
| Masters by Research (1) | Principal supervisor |
| PhD (11) | Principal supervisor |
| PhD (1) | Associate supervisor |
Completed supervision of research students at VU
| No. of students | Study level | Role |
|---|---|---|
| 3 | PhD | Associate supervisor |
| 5 | PhD | Principal supervisor |
Completed supervision of research students at VU
| Students & level | Role |
|---|---|
| PhD (3) | Associate supervisor |
| PhD (5) | Principal supervisor |
Careers
Details of this Researcher's career are currently unavailable.
