At Inome:

Wang X., Kardes H., Sun A., Chen L., Aggrawal S., Borthwick. A. Probabilistic Estimates for Attribute Statistics and Match Likelihood for People Entity Resolution

Kardes H., Agrawal S., Wang X., and Sun A. (2014) CCF: Fast and Scalable Connected Computation in MapReduce, IEEE International Conference on Computing, Networking and Communications, 2014

Sun A., Wang X., Xu S., Kiran Y., Shakthi P., Borthwick A., and Grishman, R. (2012) Intelius_NYU Cold Start System, KBP 2012

At MS:

Wang, X. and Sashi, R. (2007) Ink Annotations and their Anchoring in Heterogeneous Digital Documents Paper, ICDAR 2007

Wang, X., Biswas, M. and Sashi, R. (2007) Addressing Class Distribution Issues of the Drawing/Writing Classification in an Ink Stroke Sequence, Sketch-based Interface and Modelling Workshop 2007, (Paper selected for reprise at SIGGRAPH 2007, and invited for publication as a full-length journal paper in the Journal of Computer Graphics.

Wang, X. Shilman, M and Sashi, R (2006). Parsing Ink Annotations On Heterogeneous Documents, Sketch-based Interface and Modelling Workshop 2006

In Graduate School:

Wang, X. Model Based Approximation Methods for Reinforcement Learning (2006) Ph.D thesis.

Wang, X. and Dietterich, T. G. (2003). Model-based Policy Gradient Reinforcement Learning. International Conference on Machine Learning, ICML-2003, Washington, DC, 776-783.

Dietterich, T. G. and Wang, X. (2002). Batch value function approximation via support vectors. In Dietterich, T. G., Becker, S., Ghahramani, Z. (Eds.) Advances in Neural Information Processing Systems 14. (pp. 1491-1498). Cambridge, MA: MIT Press.

Wang, X. and Dietterich, T. G. (2002). Stabilizing value function approximation with the BFBP algorithm. In T. G., Becker, S., Ghahramani, Z. (Eds.) Advances in Neural Information Processing Systems 14. (pp. 1587-1594). Cambridge, MA: MIT Press.

Wang, X., Dietterich, T. G. (2000). Efficient value function approximation using regression trees. Pages 51-54 of collective article: J. Boyan, W. Buntine, and A. Jagota (Eds.), Statistical Machine Learning for Large Scale Optimization. Neural Computing Surveys, 3, 1-58.

Wang, X., Dietterich, T. G. (1999). Efficient Value Function Approximation Using Regression Trees. In Proceedings of the IJCAI Workshop on Statistical Machine Learning for Large-Scale Optimization, Stockholm, Sweden.

Wang, X. From Simplex Methods to Interior-Point Methods: A Brief Survey on Linear Programming algorithms (1999) (http://citeseer.ist.psu.edu/old/352670.html)