Weng-Keen Wong

Associate Professor
Computer Science
  • Ph.D. from Carnegie Mellon University, 2004
  • M.S. from Carnegie Mellon University, 2001
  • B.S. from University of British Columbia, 1997

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 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.

Kulesza, T., S. Stumpf, M. Burnett, S. Yang, I. Kwan, and W. - K. Wong, "Too much, too little, or just right? Ways explanations impact end users' mental models", 2013 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), San Jose, CA, IEEE, pp. 3 - 10, 09/2013. Abstract
Senator, T. E., H. G. Goldberg, A. Memory, W. T. Young, B. Rees, R. Pierce, D. Huang, M. Reardon, D. A. Bader, E. Chow, et al., "Detecting insider threats in a real corporate database of computer usage activity", Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining - KDD '13, Chicago, Illinois, ACM Press, pp. 1393, 08/2013. Abstract
Chen, Y., A. Groce, C. Zhang, W. - K. Wong, X. Z. Fern, E. Eide, and J. Regehr, "Taming compiler fuzzers", ACM SIGPLAN Conference on Programming Language Design and Implementation: Seattle, Washington, pp. 197-208, 06/2013. Abstract
Yu, J., S. Kelling, J. Gerbracht, and W. - K. Wong, "Automated data verification in a large-scale citizen science project: A case study", 2012 IEEE 8th International Conference on E-Science (e-Science), Chicago, IL, USA, IEEE, pp. 1 - 8, 10/2012. Abstract
Kelling, S., J. Gerbracht, D. Fink, C. Lagoze, W. - K. Wong, J. Yu, T. Damoulas, and C. Gomes, "eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research", The Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, Toronto, Ontario, Canada, 07/2012. Abstract

IAAI 2012 Deployed Application Award

Stumpf, S., M. Burnett, V. Pipek, and W. - K. Wong, "End-user interactions with intelligent and autonomous systems", CHI '12 Extended Abstracts on Human Factors in Computing Systems , Austin, Texas, ACM Press, pp. 2755-2758, 05/2012. Abstract
Trost, S. G., W. - K. Wong, K. A. Pfeiffer, and Y. Zheng, "Artificial Neural Networks to Predict Activity Type and Energy Expenditure in Youth", Medicine & Science in Sports & Exercise, vol. 44, issue 9, pp. 1801 - 1809, 04/2012. Abstract
Curran, W., T. Moore, T. Kulesza, W. - K. Wong, S. Todorovic, S. Stumpf, R. White, and M. M. Burnett, "Towards recognizing "cool"", 2012 ACM international conference on Intelligent User Interfaces - IUI '12, Lisbon, Portugal, ACM Press, pp. 285-288, 03/2012. 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 Transactions on Interactive Intelligent Systems, vol. 1, issue 1, pp. 1 - 31, 10/2011. Abstract
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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
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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", Proceedings of the Third international conference on End-user development, Berlin, Heidelberg, Springer-Verlag, pp. 171–186, 06/2011. Abstract
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Wong, W. - K., I. Oberst, S. Das, T. Moore, S. Stumpf, K. McIntosh, and M. M. Burnett, "End-user feature labeling", Proceedings of the 15th international conference on Intelligent user interfaces - IUI '11, Palo Alto, CA, ACM Press, pp. 115-124, 02/2011. Abstract

Best Paper Nominee

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., 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