Dr Xuan Nguyen

  • Room: Level: 07 Room: 14
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Data mining, machine learning, bioinformatics (Information theory)

Personal webpage



Dr. Vinh Nguyen is a scientist in the domains of data science, data mining and machine learning.  He has primarily devoted his research career to inter-disciplinary research, in particular, the development and application of novel data mining and machine learning techniques across diverse problems in medical research, bioinformatics, computational biology, transportation and social networks. His research has resulted in innovative methodologies and techniques that have attracted increasing attention. He has published in total 10 journal papers and 30 conference papers, many of which at top-tier venues in data mining and machine learning (ACM SIGKDD, AAAI, ICML, ICDM, ECML). His work has attracted more than 500 citations in total since 2010. Currently, his research focuses on big data analytics and deep learning.

Dr. Vinh Nguyen obtained a PhD degree in 2011 from UNSW. Prior to joining Melbourne University in June 2013, he spent 3 years at Monash University as a Research Fellow.

Recent publications

  1. Lei Y, Bezdek JC, Romano S, Nguyen X, Chan J, Bailey J. Ground truth bias in external cluster validity indices. Pattern Recognition. Pergamon-Elsevier Science. 2017, Vol. 65.
  2. Romano S, Nguyen X, Bailey J, Verspoor C. Adjusting for Chance Clustering Comparison Measures. JOURNAL OF MACHINE LEARNING RESEARCH. Journal of Machine Learning Research. 2016, Vol. 17.
  3. Nguyen X, Zhou S, Chan J, Bailey J. Can high-order dependencies improve mutual information based feature selection?. PATTERN RECOGNITION. Pergamon-Elsevier Science. 2016, Vol. 53.
  4. Nguyen X, Chan J, Romano S, Bailey J, Leckie C, Kotagiri R, Pei J. Discovering outlying aspects in large datasets. DATA MINING AND KNOWLEDGE DISCOVERY. Kluwer Academic Publishers. 2016, Vol. 30, Issue 6.
  5. Duan L, Tang G, Pei J, Bailey J, Dong G, Nguyen X, Campbell A, Tang C. Efficient discovery of contrast subspaces for object explanation and characterization. KNOWLEDGE AND INFORMATION SYSTEMS. Springer London. 2016, Vol. 47, Issue 1.
  6. Romano S, Chelly O, Nguyen X, Bailey J, Houle ME. Measuring Dependency via Intrinsic Dimensionality. 23rd International Conference on Pattern Recognition (ICPR). 2016.
  7. Lei Y, Nguyen X, Chan J, Bailey J. rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. Knowledge and Information Systems. Springer London. 2016.
  8. Amsaleg L, Bailey J, Monazam Erfani S, Furon T, Houle ME, Radovanović M, Nguyen X. The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. NII Technical Reports. 2016, Issue 5.
  9. Nguyen X, Monazam Erfani S, Paisitkriangkrai S, Bailey J, Leckie C, Kotagiri R. Training Robust Models with Random Projection. International Conference on Pattern Recognition. 2016.
  10. Krishnakumar S, Gaudana SB, Nguyen X, Viswanathan GA, Chetty M, Wangikar PP. Coupling of cellular processes and their coordinated oscillations under continuous light in Cyanothece sp. ATCC 51142, a diazotrophic unicellular cyanobacterium. PLoS ONE. Public Library of Science. 2015, Vol. 10, Issue 5.
  11. Nguyen X, Chan J, Bailey J, Leckie C, Kotagiri R, Pei J. Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Springer Verlag. 2015, Vol. 9078. Editors: Cao T, Lim EP, Zhou ZH, Ho TB, Cheung D, Motoda H.
  12. Schimbinschi F, Nguyen X, Bailey J, Leckie C, Vu H, Kotagiri R. Traffic Forecasting In Complex Urban Networks: Leveraging Big Data and Machine Learning. IEEE International Conference on Big Data. IEEE. 2015. Editors: Ho H, Ooi BC, Zaki MJ, Hu XH, Haas L, Kumar V, Rachuri S, Yu SP, Hsiao MHI, Li J, Luo F, Pyne S, Ogan K.
  13. Nguyen X, Chan J, Romano S, Bailey J. Effective global approaches for mutual information based feature selection. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2014.
  14. Chowdhury AR, Chetty M, Nguyen X. Evaluating influence of microRNA in reconstructing gene regulatory networks. Cognitive Neurodynamics. Springer. 2014, Vol. 8, Issue 3.
  15. Lei Y, Nguyen X, Chan J, Bailey J. FILTA: Better view discovery from collections of clusterings via filtering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2014, Vol. 8725 LNAI, Issue PART 2.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile