# Liu, Li-Ping's
Research Page

## Brief CV

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.

## Research Interests

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.

## Publication

**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.

## Materials

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

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*last** updated on Feb. 9, 2015*