My research areas are data mining and reinforcement learning. I'm a member of the Auton Lab which is a data mining lab headed by Andrew Moore. Below are several projects that I'm currently working on and that I have worked on in the past.

I am currently working on the early detection of disease outbreaks. My main research project is WSARE (What's Strange About Recent Events), a non-specific early disease outbreak detection system. WSARE works by comparing recent events against a baseline and reports what the strangest group of events that it found for the recent period. More information can be obtained at the Auton lab. If you are looking for data that was used in the WSARE v3.0 paper, check out this link

My work on Disease Outbreak detection requires the use of Bayesian networks. Andrew Moore and I have worked on a fast structure learning algorithm called Optimal Reinsertion.

The Cuevas algorithm is a technique for estimating the number of clusters in a dataset. The algorithm can also be used for finding clusters against a noisy background. However, Cuevas' algorithm is too computationally expensive. We have implemented a modified version of Cuevas' algorithm that addresses the computational problems for lower dimensional but dense datasets (as opposed to text data which is high dimensional but sparse).

I spent the summer of 2000 working with the Information Economies Project at IBM in Hawthorne, NY. We had lots of fun creating bidding strategies for agents involved in a continuous double auction. I've also worked on an algorithm for finding epsilon Nash Equilibria for games with continuous payoff functions although this work is currently unpublished.

Jeff Schneider, Andrew Moore and I have worked on a distributed reinforcement learning algorithm which uses distributed value functions. This work was applied to a power grid simulator where power distributors decided how power from power plants were allocated to cities.

- Weng-Keen Wong, Andrew Moore, Gregory Cooper, Michael Wagner, Bayesian Network Anomaly Pattern Detection for Disease Outbreaks, ICML 2003.
- Andrew Moore and Weng-Keen Wong, "Optimal Reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning", ICML 2003
- Weng-Keen Wong, Andrew Moore, Gregory Cooper, Michael Wagner, What's Strange About Recent Events (WSARE), Journal of Urban Health, Vol 80, No. 2 Supplement 1, 2003.
- Weng-Keen Wong, Andrew Moore, Gregory Cooper, Michael Wagner, Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks, AAAI-2002
- Weng-Keen Wong, Andrew Moore, Efficient Algorithms for Non-Parametric Clustering with Clutter, Interface 2002
- Jeff Schneider, Weng-Keen Wong, Andrew Moore, Martin Riedmiller, Distributed Value Functions, International Conference on Machine Learning 1999

- CiteSeer
- Cora Research Paper Search
- Lecture notes for mathematical economics
- Convex Optimization
- Journal of Computational and Graphical Statistics

- Health Sciences Library System
- NYAM 2002 Syndromic Surveillance Conference
- Johns Hopkins Applied PHysics Laboratory
- ESSENCE
- Annotated Bibliography for Syndromic Surveillance
- Martin Kulldorff

- Nir Friedman
- Max Chickering
- Software Packages for Graphical Models (Maintained by Kevin Murphy)
- Bayesian Network Repository

- AUTON home page
- The Multi-Agent Systems Laboratory at UMass
- Automated Learning Group at NASA Ames Research Center
- Eric Baum's Home Page
- Michael Wellman's Page
- Michael Littman's Home Page
- Reinforcement Learning: An Introduction by Sutton and Barto
- Geoff Gordon's Home Page
- Manfred Warmuth's Home Page

- IBM's Information Economies Project Research Papers
- A Survey Of Auctions
- Gambit Game THeory Software
- Game Theory Forum
- Learning and Evolution in Games
- Al Roth's game theory and experimental economics page
- Combinatorial Game Theory
- Tuomas Sandholm's home page
- Lyle Ungar
- Richard McKelvey
- Amy Greenwald
- Makoto Yokoo