Ke Zhang

Ph.D student Information Engineering Research School of Information Sciences and Engineering College of Engineering and Computer Science Australian National University Canberra, ACT, Australia
Email: Phone:	ke.zhang@cecs.anu.edu.au (02) 6267 6287

Education & Research Background

8/2007 - Now
Ph.D student in Data Ming
Research School of Computer Sciences and Engineering, Australian National University Canberra/Australia

12/2006 - 5/2007
Summer scholar + visiting scholar in QUSE group, VISTA progam
Research School of Computer Sciences and Engineering, Australian National University Canberra/Australia

2/2006 - 12/2006
Master of Engineering (Honors) in Computer Vision
Australian National University, Canberra/Australia

2/2005 - 12/2005
Master of Engineering
Australian National University, Canberra/Australia
Graduated with Distinction Average.

9/2003 - 12/2005
Master of Engineering in telecommunication and information system
China University of Geosciences (CUG), Wuhan/China.
Top 1% student, average mark: 87.63/100.

9/1999 - 7/2003
Bachelor of Engineering in telecommunication and information system
China University of Geosciences (CUG), Wuhan/China.
The "Excellent Graduates" in CUG.

Research Interests

• Data Ming
  Anomaly/fraud/outlier detection
  　
• Computer Vision
  image denoising, image retrieval
  　

Professional Knowledge and Skills

· Data mining outlier detection techniques, e.g. distribution-based, depth-based (MVE), distance-based (KNN), density-based (LOF).

· Stochastic process and matrix theories.

· Machine learning and pattern recognition: graphical models, Markov random fields,dynamical Bayesian networks, neuralnetworks and genetic algorithm.

· Programming languages: C/C++, MATLAB.

Publications

Conference:

1. Ke Zhang, Marcus Hutter, Huidong Jin: A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. PAKDD 2009: 813-822

2. Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu: Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence 2008: 470-481

3. Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang: Soil Moisture Prediction with Feature Selection Using a Neural Network. DICTA 2008: 130-136

1. Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu: Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) 2007: 482-491.

2. Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli: Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops 2007: 99-109.

Other Materials

• Victoria J. Hodge, Jim Austin: A Survey of Outlier Detection Methodologies. Artif. Intell. Rev. 22(2): 85-126 (2004).
• Source code for submitted PAKDD2010 paper: An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data. Download(read_me, source_code).