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Wei Liu
B.Eng 2006, M.IT 2007, Ph.D 2011 (USYD)
Room 7.14,
Doug McDonell Building,
Dept. of Computer Science and Software Engineering,
The University of Melbourne,
VIC, 3010, Australia.
Tel: +61 3 9035 3956
Fax: +61 3 9349 4596
Email: wei.liu AT unimelb.edu.au
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Wei is a data mining Research Fellow working with
Prof Rao, A/Prof James Bailey, and A/Prof Chris Leckie, at the University of Melbourne.
Before joining the Uni of Melbourne, Wei completed his PhD in Prof
Sanjay Chawla's group at the University of Sydney.
Publications
- Jeffrey Chan, Wei Liu, Chris Leckie, James Bailey and Rao Kotagiri: Mining Multi-time Spanning Blockmodels in Dynamic Graphs. Accepted in the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012).
ERA ranking: A
- Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan and Xing Xie: Discovering Causal Interactions among Spatio-Temporal Outliers
from Traffic Data Streams. In Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), pages 1010–1018.
ERA ranking: A
- Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu and Yu Zheng: On Mining Emerging Patterns on Traffic Networks. Accepted in the 7th International Conference on Advanced Data Mining and Applications (ADMA 2011).
ERA ranking: B
- Wei Liu and Sanjay Chawla: Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets.
In Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Part II, pages 345–356.
ERA ranking: A
- Wei Liu and Sanjay Chawla: A Quadratic Mean based
Supervised Learning Model for Handling Data Skewness. In Proceedings of the 2011 SIAM International Conference on Data Mining (SDM 2011), pages 188–198.
ERA ranking: A
- Wei Liu and Sanjay Chawla: Mining Adversarial Patterns via Regularized Loss
Minimization. Machine
Learning (selected as one of the best seven papers from ECML PKDD 2010), vol. 81, num. 1, pages 69-83. (code)
ERA ranking: A*
- Wei Liu, Sanjay Chawla, David Cieslak
and Nitesh Chawla: A Robust Decision
Tree Algorithm for Imbalanced Data Sets. In Proceedings of the
Tenth SIAM International Conference on Data Mining (SDM 2010), pages 766-777. [code]
ERA ranking: A
- Wei Liu and Sanjay Chawla: A Game Theoretical Model for
Adversarial Learning. In Proceedings of the 2009 International Workshop on Domain Driven Data Mining (DDDM 2009) joint with IEEE ICDM 2009, pages 25-30.
ERA ranking: C
- Elizabeth Wu, Wei Liu, and Sanjay
Chawla: Spatio-Temporal Outlier
Detection in Precipitation Data. In Proceedings of SensorKDD 2008 workshop joint with KDD 2008. (I was in charge of the Approx-Grid algorithms in Section 4.2 and corresponding experiments. This paper won best paper award at SensorKDD 2008 workshop.)
- Wei Liu: Applying Conditional Random Fields
into Bioinformatics to Predict Alpha Helices in Transmembrane Proteins. Master of IT thesis, 2007. (This thesis is marked as equivalent to the quality of First Class Honors degree) [CRFs server]
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