Oregon State University
Search Menu
  • All of OSU
  • selectedSchool of Electrical Engineering & Computer Science



Home ›

Weng-Keen Wong

Associate Professor
Computer Science
Web Page: 
http://eecs.oregonstate.edu/~wong
Learn more about Weng-Keen Wong
Education: 
  • Ph.D. from Carnegie Mellon University, 2004
  • M.S. from Carnegie Mellon University, 2001
  • B.S. from University of British Columbia, 1997
Biography: 

Weng-Keen Wong is an Assistant Professor of Computer Science at Oregon State University. He received his Ph.D. (2004) and M.S. (2001) in Computer Science at Carnegie Mellon University, and his B.Sc. (1997) from the University of British Columbia. His research areas are in data mining and machine learning, with specific interests in anomaly detection, surveillance algorithms, and mining large scale datasets. His Ph.D. thesis was entitled "Data Mining Algorithms for the Early Detection of Disease Outbreaks" and he is involved in the field of disease outbreak surveillance.

Research group: 
AI - Machine Learning - Algorithms
Research Interests: 

Research Areas

Artificial intelligence, machine learning, data mining, disease outbreak surveillance

Research Description

Weng-Keen Wong's research interests in data mining lie primarily in the area of anomaly detection. While much of data mining is currently concerned with discovering patterns in the data, there is also a growing interest in finding anomalies. These anomalies play a significant role in scientific discovery and also in surveillance systems. Surveillance systems have traditionally played an important role in domains such as fraud detection and computer security. An emerging field for the application of surveillance algorithms is syndromic surveillance, which has the goal of detecting disease outbreaks as early as possible by monitoring pre-diagnosis health-care data. Present challenges for anomaly detection algorithms include detecting anomalies in spatial and spatio-temporal domains, finding meaningful anomalies, and dealing with massive data sets. Dr. Wong is also interested in Bayesian network structure learning, hierarchical Bayesian approaches and clustering.

Teaching: 
CS 162 INTRO TO COMPUTER SCIENCE II
CS 507 SEM/ COLLOQUIUM

Publications

2011
Hochachka, W. M., D. Fink, R. A. Hutchinson, D. Sheldon, W. - K. Wong, and S. Kelling, "Data-intensive science applied to broad-scale citizen science", Trends in Ecology & Evolution, 12/2011. Abstract
Kulesza, T., S. Stumpf, W. - K. Wong, M. M. Burnett, S. Perona, A. J. Ko, and I. Oberst, "Why-Oriented End-User Debugging of Naive Bayes Text Classification", ACM Trans. Interact. Intell. Syst., vol. 1, issue 1, New York, NY, USA, ACM, pp. 2:1–2:31, 10/2011. Abstract
Shinsel, A., T. Kulesza, M. M. Burnett, W. Curran, A. Groce, S. Stumpf, and W. - K. Wong, "Mini-Crowdsourcing End-User Assessment of Intelligent Assistants: A Cost-Benefit Study", 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Pittsburgh, PA, IEEE, pp. 47 - 54, 09/2011. Abstract
Wong, W. - K., I. Oberst, S. Das, T. Moore, S. Stumpf, K. McIntosh, and M. M. Burnett, "End-User Feature Labeling via Locally Weighted Logistic Regression", Twenty-Fifth AAAI Conference on Artificial Intelligence (NECTAR Track), San Francisco, CA, AAAI Press, 08/2011. Abstract
Kulesza, T., M. M. Burnett, S. Stumpf, W. - K. Wong, S. Das, A. Groce, A. Shinsel, F. Bice, and K. McIntosh, "Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach", Third International Symposium on End-User Development (Lecture Notes in Computer Science 6654), Torre Canne (Brindisi), Italy, pp. 171-186, 06/2011. Abstract
Wong, W. - K., I. Oberst, S. Das, T. Moore, S. Stumpf, K. McIntosh, and M. M. Burnett, "End-user feature labeling", Proceedings of the 16th International Conference on Intelligent User Interfaces - IUI '11, Palo Alto, CA, ACM Press, pp. 115-124, 02/2011. Abstract
2010
Yu, J., W. - K. Wong, and R. A. Hutchinson, "Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling", 2010 IEEE 10th International Conference on Data Mining (ICDM), Sydney, Australia, IEEE, pp. 1157 - 1162, 12/2010. Abstract
Kulesza, T., S. Stumpf, M. M. Burnett, W. - K. Wong, Y. Riche, T. Moore, I. Oberst, A. Shinsel, and K. McIntosh, "Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs", 2010 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Leganes, Madrid, Spain, IEEE, pp. 41 - 48, 09/2010. Abstract
Bryant, D. W., R. Shen, H. D. Priest, W. - K. Wong, and T. C. Mockler, "Supersplat--spliced RNA-seq alignment", Bioinformatics, vol. 26, issue 12, pp. 1500 - 1505, 06/2010. Abstract
Bryant, D. W., S. E. Fox, E. R. Rowley, H. D. Priest, R. Shen, W. - K. Wong, and T. C. Mockler, "Discovery of SNP Markers in Expressed Genes of Hazelnut", ISHS Acta Horticulturae, vol. 859, issue 289-294, Corvallis, OR, pp. 859, 289-294, 04/2010. Abstract
Filichkin, S. A., H. D. Priest, S. A. Givan, R. Shen, D. W. Bryant, S. E. Fox, W. - K. Wong, and T. C. Mockler, "Genome-wide mapping of alternative splicing in Arabidopsis thaliana", Genome Research, vol. 20, issue 1, pp. 45 - 58, 01/2010. Abstract
2009
Zhang, X., S. Yoon, P. DiBona, D. S. Appling, L. Ding, J. R. Doppa, D. Green, J. K. Guo, U. Kuter, G. Levine, et al., "An Ensemble Learning and Problem-Solving Architecture for Airspace Management", Proceedings of Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-09), Pasadena, CA, pp. 203-210, 07/2009. Abstract
Burrows, E. H., W. - K. Wong, X. Fern, F. W. R. Chaplen, and R. L. Ely, "Optimization of pH and nitrogen for enhanced hydrogen production by Synechocystis sp. PCC 6803 via statistical and machine learning methods", Biotechnology Progress, vol. 25, issue 4, pp. 1009 - 1017, 07/2009. Abstract
Vatturi, P., and W. - K. Wong, "Category detection using hierarchical mean shift", Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Paris, France, ACM Press, pp. 847-856, 06/2009.
Stumpf, S., V. Rajaram, L. Li, W. - K. Wong, M. M. Burnett, T. G. Dietterich, E. Sullivan, and J. L. Herlocker, "Interacting meaningfully with machine learning systems: Three experiments", International Journal of Human-Computer Studies, vol. 67, issue 8, pp. 639 - 662, 06/2009. Abstract
Kulesza, T., W. - K. Wong, S. Stumpf, S. Perona, R. White, M. M. Burnett, I. Oberst, and A. J. Ko, "Fixing the Program My Computer Learned: Barriers for End Users, Challenges for the Machine", ACM Conference on Intelligent User Interfaces, Sanibel Island, Florida, ACM, pp. 187–196, 02/2009. Abstract
Bryant, D. W., W. - K. Wong, and T. C. Mockler, "QSRA – a quality-value guided de novo short read assembler", BMC Bioinformatics, vol. 10, issue 1, pp. 69, 02/2009. Abstract
2008
Natarajan, S., H. H. Bui, P. Tadepalli, K. Kersting, and W. - K. Wong, "Logical Hierarchical Hidden Markov Models for Modeling User Activities", Proceedings of the Eighteenth International Conference on Inductive Logic Programming, vol. 5194, Prague, Czech Republic, Springer Berlin Heidelberg, pp. 192 - 209, 09/2008. Abstract
Shen, J., L. Li, and W. - K. Wong, "Markov blanket feature selection for support vector machines", Proceedings of the 23rd national conference on Artificial intelligence - Volume 2, Chicago, IL, AAAI Press, pp. 696–701, 07/2008. Abstract
Hillier, M., W. - K. Wong, S. Sheehy, and J. A. Jones, "Google Earth as a visualization tool for understanding changing patterns of exotic plants along forest roads in western Oregon", Proceedings of the Annual Meeting of the Association of American Geographers, Boston, MA, 04/2008. Abstract
Stumpf, S., E. Sullivan, E. Fitzhenry, I. Oberst, W. - K. Wong, and M. M. Burnett, "Integrating rich user feedback into intelligent user interfaces", Proceedings of the 2008 International Conference on Intelligent User Interfaces, Gran Canaria, Spain, ACM Press, pp. 50-59, 01/2008. Abstract
2007
Shen, Y., W. - K. Wong, J. D. Levander, and G. F. Cooper, "An outbreak detection algorithm that efficiently performs complete Bayesian model averaging over all possible spatial distributions of disease", Advances in Disease Surveillance, vol. 4, pp. 113, 10/2007. Abstract
Mills-Price, C., W. - K. Wong, P. Tadepalli, and E. W. Dereszynski, "Bi-level Optimization for Learning Cost Functions from Demonstration", 2007 AAAI Workshop on Acquiring Planning Knowledge via Demonstration, Vancouver, BC, pp. 18-20, 07/2007. Abstract
Parker, C., P. Tadepalli, W. - K. Wong, T. G. Dietterich, and A. Fern, "Learning From Demonstrations via Structured Prediction", 2007 AAAI Workshop on Acquiring Planning Knowledge via Demonstration, Vancouver, BC, pp. 34-40, 07/2007. Abstract
Rolka, H., H. Burkom, G. F. Cooper, M. Kulldorff, D. Madigan, and W. - K. Wong, "Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs.", Statistics in Medicine, vol. 26, issue 8, pp. 1834-56, 04/2007. Abstract

Contact Info

Oregon State University
1148 Kelley Engineering Center
Corvallis, OR 97331-5501
Phone: (541) 737-3617
Fax: (541) 737-1300
Contact us with your comments and questions
Copyright ©  2012 Oregon State University
Disclaimer