| Publications | Projects | Resources | Courses | Resume |
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Xing Wang (王星)
Data Mining Lab / Engineering Building 4416 Department of Computer Science George Mason University Fairfax, VA 22030
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I am a Ph.D. student at Department
of Computer Science at George
Mason University, advised by Prof.
Jessica Lin. My research focus is in the area of Data Mining and
Machine Learning. Specifically I am interested in Time Series Data
Mining including similarity search, motif discovery, symbolic
representation, visualization, anomaly detection, and grammar
induction.
NEWS
- 05/02/2017 Our new GrammarViz paper got accepted by TKDD
- 07/18/2016 Our time series anomaly detection paper got accepted by CIKM '16
- 06/20/2016 Research intern at HP Labs this summer
- 12/10/2015 Paper Finding Representative Patterns in Time Series for Classification got accepted by EDBT '16
PUBLICATIONS
- A Self-Learning and Online Algorithm for Time Series Anomaly
Detection, with Application in CPU Manufacturing
Xing Wang, Jessica Lin, Nital Patel, Martin Braun. The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016). - RPM: Representative Pattern
Mining for Efficient Time Series Classification
Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein. 19th International Conference on Extending Database Technology (EDBT). 2016. - A Machine Learning Approach to
False Alarm Detection for Critical Arrhythmia Alarms
Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, and Ranjeev Mittu. In Proceedings of the 14th International Conference on Machine Learning and Applications (ICMLA). 2015 - Time Series Anomaly Discovery with
Grammar-Based Compression
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein. 18th International Conference on Extending Database Technology (EDBT). 2015. - A Generative Model for Time Series
Discretization Based on Multiple Normal Distributions
Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang. PIKM workshop at International Conference on Information and Knowledge Management (CIKM). 2015. - GrammarViz
2.0: a Tool for Grammar-Based Pattern Discovery in Time Series.
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, and Manfred Lerner. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD). 2014. - Research and Implementation of a Universal ETL
Tool
Anjian Sun, Xing Wang, Xiaoyu Yan. Computer Applications and Software, 2012.
RESEARCH PROJECTS
- Temporal Pattern Discovery, 2015 - Present
- Finding and Exploiting Hierarchical Structure in Time Series Using Statistical Language Processing Methods, 2013 - 2015
- Contextual Anomaly Detection in Medical Applications, 2014 - 2015
RESOURCES
- GrammarViz 2.0 Our open source Java tool for time series mining.
COURSES
- CS700 Quantitative Methods & Experimental Design in CS, 2015 Spring
- MATH689 Nonlinear Optimization, 2014 Fall
- CS800 Computer Science Colloquium, 2014 Spring
- CS600 Theory of Computation, 2014 Spring
- CS757 Mining Massive Datasets, 2014 Spring
- CS688 Pattern Recognition, 2013 Fall
- CS780 Data Mining on Multimedia Data, 2013 Fall
- CS571 Operating Systems, 2013 Spring
- CS563 Fundamentals System Programming, 2013 Spring
- CS583 Analysis of Algorithms I, 2012 Fall
- CS580 Introduction Artificial Intelligence, 2012 Fall
- CS685 Intelligence Systems for Robotics
- INFS614 Database Management
- INFS760 Advanced Database Management
- SWE621 Software Model/architecture Design
- SWE642 Software Engineering for WWW
RESUME
- Please email me for an up-to-date resume.