ILWS - Charles Sturt University
ILWS - Charles Sturt University

Dr Xiaodi Huang

Dr Xiaodi Huang

Dr Xiaodi Huang, School of Computing & Mathematics, joined the University as a senior lecturer in 2007. He is also a distinguished professor (Jan 2012 to present) of South China Normal University, China.  Dr Huang has research interests in visualisation, web services, data mining and wireless networks. He is interested in "Exploring the complex relationship between poverty, economic development, resource use, livelihoods, agriculture, ecosystem services, environmental degradation and conservation" by using graph modelling and visualization.

Research Interests

  • Data Analysis
  • Vizualization
  • Computer Applications in Environments

PhD in Computer Science, School of Information Technology, Swinburne University of Technology


Membership of Advisory Boards and Panels

South China Normal University (Distinguished Professor)

Editorial Boards

Advances in Information Sciences and Service Sciences (Editor); Journal of Communications and Information Sciences (Editor); International Journal on Advances in Intelligent Systems (Editorial Board member); CAAI Transactions on Intelligence (Editorial Board member)


Selected Publications

Peer Reviewed Papers

Wu, l., Huang, X., Shepherd, J., Wang, Y. (2015) Multi-Query Augmentation-Based Web Landmark Photo Retrieval.  The Computer Journal  2015 58 (5) doi: 10.1093/comjnl/bxv033

Han, X., Cuevas, Á., Crespi, N., Cuevas, R., Huang, X. (2014) On Exploiting Social Relationship and Personal Background for Content Discovery in P2P Networks, Future Generation Computer Systems. Vol 40, pp 17-29 http://www.sciencedirect.com/science/article/pii/S0167739X14001290

Li, X., Huang, X., Deng, X., Zhu, S. (2014) Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information, Neurocomputing , Vol 142, pp 228-238 http://www.sciencedirect.com/science/article/pii/S092523121400647X

Wu, L., Huang, X., Zhang, C., Shepherd, J., Wang, Y. (2014) An Efficient Framework of Bregman Divergence Optimization for Co-Ranking Images and Tags in a Heterogeneous Network, Multimedia Tools and Applications 10.1007/s11042-014-1873-x  http://link.springer.com/article/10.1007%2Fs11042-014-1873-x

Miao, H., Huang, X. (2014) A Heuristic Field Navigation Approach for Autonomous Underwater Vehicles, Intelligent Automation and Soft Computing, Vol. 20, No. 1, pp.15-32, Taylor & Francis


Current Projects

PIT tag data analysis project.  Huang, X., Baumgartner, L., and Li, J. (2018-2019) Karltek Pty Ltd., $25,000 Project details