Courses Taken
- EECS 730 - Introduction to Bioinformatics
- EECS 738 - Machine Learning
- EECS 802 - EECS Colloquium
- EECS 730 - Mining patterns from data
- EECS 660 - Fundamental of Algorithms
- EECS 718 - Graph Algorithm
- EECS 841 - Computer Vision
Courses Taking in Spring 2009
- MATH 628 - Mathematical Theory of Statistics
- EECS 801 - Directed Reading on Statistical Learning
Research
My research interests are in Data mining, Machine learning and their applications. In general, My research mainly focuses on Data mining, machine learning and their application real world applications, with emphasize on modeling and mining graphs and networks in bioinformatics, Cheminformatics, social network and sensor network.
Past Projects
- Feature Selection on graphs
- Regularized graph classification and regression
Current Projects
- Anomaly Detection in Network
- Sensor Network data management and Security
Publications
- Brian Quanz, Hongliang Fei,Jun Huan and et. al. Anomaly Detection with Sensor Data for Distributed Security. The Second International Workshop on SensorNetworks (SN 2009) - in conjunction with International Conference on Computer Communications and Networks (ICCCN 2009). San Francisco, CA
- Hongliang Fei & Jun Huan. Structure Feature Selection For Graph Classification . ACM 17th International Conference of Knowledge Management 2008 (CIKM08). Napa Valley, California 2008.
- Hongliang Fei & Jun Huan. Feature Selection For Compound Classification . IEEE 8th International Conference of Bioinformatics and Bioengineering 2008 (BIBE08)
. Athens, Greece 2008.
Programming Languages
- C, C++
- Java
- Perl
- Python
- PHP
- Matlab
About me
I had my Bachelor at Harbin Institute of Technology (HIT) in July 2007. Now I attend University of Kansas to pursue my Ph.D degree under Dr. Luke Huan's guidance. I like singing, skating, traveling and making friends.
My friends' link
Last updated: March 12, 2009
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