Dr Xuyun Zhang



Dr Xuyun (Sean) Zhang is a lecturer in the Department of Electrical & Computer Engineering at the University of Auckland, New Zealand. Prior to his current appointment, he worked as a postdoctoral fellow in the Machine Learning Research Group of NICTA (currently Data61, CSIRO) in Australia. He received his PhD degree from University of Technology, Sydney (UTS, Australia) in 2014, as well as his ME and BS degrees in Computer Science from Nanjing University (China) in 2011 and 2008, respectively.

His primary research interests include IoT and smart cities, big data, cloud computing, scalable machine learning & data mining, data privacy & security, and Web service technology.

Research | Current

His current research is mainly in big IoT data analytics with cloud computing infrastructure, specifically in outlier / anomaly detection, parallel and distributed algorithms design, scalable machine learning & data mining, and big data privacy preservation.

Research Groups

  • Embedded Systems group
  • Parallel and Reconfigurable Computing group

Teaching | Current

COMPSYS704 - Advanced embedded systems

SOFTENG753 - Bayesian Machine Learning


  • 2015 Chancellor's Award for best PhD thesis, UTS
  • 2012 Chinese Government Award for Outstanding Self-Financed Student Abroad

Committees/Professional groups/Services

PC co-chair

  • Australasian Information Security Conference (AISC 2017), as part of Australasian Computer Science Week (ACSW 2017)
  • International Symposium on MapReduce and Big Data Infrastructure (2012, 13, 14)

Guest editor

  • "Internet of Things (IoT) Management and Analytics with Cloud Infrastructure and Services" special issue on International Journal of Distributed Sensor Networks (SCIE indexed), 2016

Selected publications and creative works (Research Outputs)

  • He, Q., Zhou, R., Zhang, X., Wang, Y., Ye, D., Chen, F., ... Yang, Y. (2017). Keyword search for building service-based systems. IEEE Transactions on Software Engineering, 43 (7), 658-674. 10.1109/TSE.2016.2624293
    URL: http://hdl.handle.net/2292/41214
  • Zhang, X., Dou, W., He, Q., Zhou, R., Leckie, C., Kotagiri, R., & Salcic, Z. (2017). LSHiForest: A generic framework for fast tree isolation based ensemble anomaly analysis. Data Engineering (ICDE), 2017 IEEE 33rd International Conference on, 983-994. San Diego, USA. 10.1109/ICDE.2017.145
    URL: http://hdl.handle.net/2292/39794
    Other University of Auckland co-authors: Zoran Salcic
  • Zhang, X., Leckie, C., Dou, W., Chen, J., Kotagiri, R., & Salcic, Z. (2016). Scalable local-recoding anonymization using locality sensitive hashing for big data privacy preservation. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 1793-1802. Indianapolis, Indiana, USA: ACM. 10.1145/2983323.2983841
    Other University of Auckland co-authors: Zoran Salcic


Contact details

Primary office location

BUILDING 903 - Bldg 903
Level 3, Room 344
New Zealand

Web links