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.

 

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

Year Citation
2020 Singh, R., Du, J., Zhang, Y., Wang, H., Miao, Y., Sianaki, O. A., & Ulhaq, A. (200101). A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing Paper presented at Advances in Intelligent Systems and Computing (pp. 484-495).

doi: 10.1007/978-3-030-22354-0_43

2019 Liu, F., Zhou, X., Cao, J., Wang, Z., Wang, H., & Zhang, Y. (190501). A LSTM and CNN Based Assemble Neural Network Framework for Arrhythmias Classification Paper presented at ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1303-1307).

doi: 10.1109/ICASSP.2019.8682299

2019 Zhou, X., Qin, D., Lu, X., Chen, L., & Zhang, Y. (190401). Online social media recommendation over streams Paper presented at Proceedings - International Conference on Data Engineering (pp. 938-949).

doi: 10.1109/ICDE.2019.00088

Year Citation
2019 Ding, S., Li, L., Li, Z., Wang, H., & Zhang, Y. (191101). Smart electronic gastroscope system using a cloud-edge collaborative framework. Future Generation Computer Systems, 100 (395-407).

doi: 10.1016/j.future.2019.04.031

2019 Joadder, M. AM., Siuly, S., Kabir, E., Wang, H., & Zhang, Y. (191001). A New Design of Mental State Classification for Subject Independent BCI Systems. IRBM, 40(5), (297-305).

doi: 10.1016/j.irbm.2019.05.004

2019 Zheng, H., He, J., Huang, G., Zhang, Y., & Wang, H. (190801). Dynamic optimisation based fuzzy association rule mining method. International Journal of Machine Learning and Cybernetics, 10(8), (2187-2198).

doi: 10.1007/s13042-018-0806-9

2019 Peng, M., Xie, Q., Wang, H., Zhang, Y., & Tian, G. (190601). Bayesian sparse topical coding. IEEE Transactions on Knowledge and Data Engineering, 31(6), (1080-1093).

doi: 10.1109/TKDE.2018.2847707

2019 Zheng, H., He, J., Zhang, Y., Huang, G., Zhang, Z., & Liu, Q. (190501). A general model for fuzzy decision tree and fuzzy random forest. Computational Intelligence, 35(2), (310-335).

doi: 10.1111/coin.12195

2019 Zhou, X., Qin, D., Chen, L., & Zhang, Y. (190411). Real-time context-aware social media recommendation. VLDB Journal, 28(2), (197-219).

doi: 10.1007/s00778-018-0524-7

2019 Liu, F., Zhou, X., Wang, Z., Cao, J., Wang, H., & Zhang, Y. (190401). Unobtrusive mattress-based identification of hypertension by integrating classification and association rule mining. Sensors (Switzerland), 19(7),

doi: 10.3390/s19071489

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.

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

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

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

Deep Data Mining for Anomaly Prediction from Sensor Data Streams
From: ARC - Discovery
For period: 2014-2016
$340,006

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

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
12 PhD Principal supervisor
3 PhD Associate supervisor

Currently supervised research students at VU

Students & level Role
Masters by Research (1) Principal supervisor
PhD (12) Principal supervisor
PhD (3) Associate supervisor

Completed supervision of research students at VU

No. of students Study level Role
1 PhD Associate supervisor
4 PhD Principal supervisor

Completed supervision of research students at VU

Students & level Role
PhD (1) Associate supervisor
PhD (4) Principal supervisor

Careers

Details of this Researcher's career are currently unavailable.