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.**, Dietterich, T.G., Li, N. and Zhou, Z.-H..
Transductive Optimization of Top k Precision. *arXiv:1510.05976 [cs.LG]. 2015. *

**Liu, L.-P.**, Quanz, B., Xing, D., Deshpande, A. and Liu, X..
Predicting Weeks-Of-Supply via Sequence Aggregating. *
In: Proceedings of the 2015 INFORMS Workshop on Data Mining and Analytics. 2015.*

Pei, Y, **Liu, L.-P.** and Fern, X.. Bayesian Active Clustering with Pairwise Constraints.
*In: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'2015). *

**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
Dietterich, T.. A Conditional
Multinomial Mixture Model for Superset Label Learning. In: *2012
Conference on Neural Information Processing Systems (NIPS’2012). *[supp. marterial][code]

**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.

- Linear Transformation of Multivariate Normal
Distribution: Marginal, Joint and Posterior [pdf]

Link to my website