Charles Sturt University
Graham Centre for Agricultural Innovation

Dr Xiaodi Huang

Dr Xiaodi Huang

BSCPhysics (Fujian Normal University, China), MEd (SCNU, China), PhD (Swinburne)

Xiaodi Huang received his Bachelor of Science in Physics in 1989, M.Phil. degree in Computers in Education in 1992, and a PhD  in 2004. He is a senior lecturer in the School of Computing and Mathematics at Charles Sturt University. His research areas include visualization, data mining, and web services. He has published over 100 scholar papers in international journals and conferences. Dr Huang is a regular reviewer for several international journals, and serves as the committee members of a number of international conferences. He is a senior member of IEEE Computer Society and member of the ACM.

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Research

  • Visual date analysis
  • Web services
  • Computer applications

Teaching

  • At CSU, Dr Huang has been teaching 17 subjects at different levels, including 11 as the subject coordinator.

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  • Data analysis
  • Mining and visualization of agricultural data

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  • Xiaodi Huang, Changqin Huang, NGD: Filtering Graphs for Visual Analysis, IEEE Transactions on Big Data ( in press)
  • Y. Wang, X. Lin, L. Wu, W. Zhang, Q. Zhang, Xiaodi Huang (2015), Robust Subspace Clustering for Multi-view Data by Exploiting Correlation Consensus, IEEE Transactions on Image Processing, Vol.24. No. 11, pp. 3939-3949.
  • Xiaodi Huang, X. Dai, W. Liang (2014), BulaPay: A Novel Web Service based Third-Party Payment System for e-Commerce, Electronic Commerce Research, Vol.14, No. 4, pp. 611-633.
  • Xiaodi Huang (2013), UsageQoS: Estimating the QoS of Web Services through Online User Communities, ACM Transactions on the Web, Vol. 8, No. 1, Article 1, pp. 1- 31.
  • Xiaodi Huang, Xiaodong Zheng, Wei Yuan, Fei Wang, Shanfeng Zhu (2011), Enhanced Clustering of Biomedical Documents Using Ensemble Non-negative Matrix Factorization, Information Sciences, Vol. 181, No.11, pp. 2293-2302.
  • Xiaodi Huang, Wei Lai, A.S.M. Sajeev, and Junbin Gao (2007), A New Algorithm to Remove Overlapping Nodes in Graph Layout, Information Sciences, Sciencedirect, Vol. 177, No. 14, pp. 2821-2844.
  • Xiaodi Huang, Wei Lai (2006), Clustering Graphs for Visualization via Node Similarities, Journal of Visual Languages and Computing, Vol .17, No.3, pp. 225-253.

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