I received my B.S. in computer science from Hebei University of Technology in 2006. Then after three years' study in LAMDA group, I received my M.S. from Nanjing Univeristy in 2009. My advisor was Prof. Jiang, Yuan. Then I worked in Aliyun for one year and a half. After that, I began to pursue my PhD in Oregon State University. My advisor is Prof. Dietterich.
My research is mainly focused on graphical model, e.g. collective graphical model, inference and learning. I am also interested in superset label learning problem and learning theory.
Liu, L.-P., Sheldon, D. and Dietterich, T.. Gaussian Approximation of Collective Graphical Models. In: The 31st International Conference on Machine Learning (ICML’2014). [code]
Liu, L.-P. and Dietterich, T.. Learnability of the Superset Label Learning Problem. In: The 31st International Conference on Machine Learning (ICML’2014).
Liu, L.-P. and Fern Z. X.. Constructing Training Set for Outlier Detection. In: Proceedings of the 12th SIAM International Conference on Data Mining (SDM’12). pp. 919-929.
Hutchinson, R., Liu, L.-P. and Dietterich, T.. Incorporating Boosted Regression Trees into Ecological Latent Variable Models. In: Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI’2011). pp. 1343-1348.
Liu, L.-P., Jiang, Y. and Zhou, Z.-H.. Least Square Incremental Linear Discriminant Analysis. In: Proceedings of the 9th IEEE International Conference on Data Mining (ICDM’09). pp.298-306.
Liu, L.-P., Yu, Y., Jiang, Y., and Zhou, Z.-H.. TEFE: A Time-Efficient Approach to Feature Extraction. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM’08). pp. 423-432.
Jiang, Y., Liu, L.-P.. Survey of Data Mining on Data Stream. Journal of Jiangnan University(Natural Science Edition). pp. 654-657.
In my research, some results are repeatedly used. I tidy up some of my notes and post it here. Hopefully it could benefit some others.
Link to my website