Mu Qiao

Ph.D. Candidate
Department of Computer Science and Engineering
The Pennsylvania State University
University Park
PA 16802
 
Email:  muq103 At cse dot psu dot edu
Phone:  (814) 321-5797
  
 

 

 


Biography

I am a Ph.D. student in the Department of Computer Science and Engineering at Penn State University since 2007. I am co-advised by Prof. Jia Li and Prof. James Z. Wang. Since 2009, I am also doing a concurrent M.S. in the Department of Statistics at Penn State. Prior to my Ph.D. studies, I received my B.S. (Highest Honor) degree in 2007 from the Department of Computer Science and Engineering at Harbin Institute of Technology. In 2006, I was an exchange student in the Department of Computer Science and Engineering at Hong Kong University of Science and Technology. My research interests are statistical machine learning, data mining, image annotations and retrieval, text mining, mobile vision, social network analysis, visual analytics, and services computing .


 

Publications

Journal Papers

[J1] Qiao, M., Li, J., "Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces", Journal of Machine Learning Research (JMLR), 2011 (under review, download).

[J2] Yao, L., Suryanarayan, P., Qiao, M., Wang, J. Z., Li, J., "OSCAR: On-Site Composition and Aesthetics Feedback through Exemplars for Photographers", International Journal of Computer Vision (IJCV), DOI: 10.1007/s11263-011-0478-3, 2011. [download, online demo]

[J3] Qiao, M., Li, J., "Two-way Gaussian Mixture Models for High Dimensional Classification", Journal of Statistical Analysis and Data Mining (SAM), 3(4), 259-271, 2010. [download] Winner of the 2010 American Statistical Association (ASA) Statistical Learning and Data Mining Section Student Paper Competition Award

Conference Papers

[C1] Yan, X., Qiao, M., Li, J., Simpson, T. W., Stump, G. M. and Zhang, X., "A Work-Centered Visual Analytics Model to Support Engineering Design", in Proceedings of Hawaii International Conference on System Sciences: HICSS 45 - Visual Analysis of Massive Data for Decision Support and Operational Management, IEEE Computer Society, 2012. (Best Paper Nomination)

[C2] Qiao, M., Akkiraju, R., Rembert, A. J., "Towards Efficient Business Process Clustering and Retrieval: Combining Language Modeling and Structure Matching", in Proceedings of the 9th International Conference on Business Process Management (BPM), pp. 199-214, Clermont-Ferrand, France, 2011. (full paper, acceptance rate 14%) [download]

[C3] Yan, X., Qiao, M., Simpson, T., Li, J., Zhang, X. L., "LIVE: A Work-centered Approach to Support Visual Analytics of Multi-dimensional Engineering Design Data with Interactive Visualization and Data-mining", in Proceedings of the ASME 2011 Design Engineering Technical Conferences - Design Automation Conference, Washington DC, 2011. [download, online demo]


Professional Services

Industrial Experience

Research Intern, Xerox Palo Alto Research Center (PARC), Knowledge Language and Interaction Group, Palo Alto, CA, June 2011- Aug 2011

Research Intern, IBM T.J. Watson Research Center, Business Informatics Group, Hawthorne, NY, June 2010- Aug 2010

 

 

Research Intern, eBay Research Labs, San Jose, CA, June 2009- Aug 2009

Consulting Experience

Consultant, Statistical Consulting Center, Department of Statistics, Penn State, Sept 2009-May 2010

Selected Awards

American Statistical Association (ASA) Statistical Learning and Data Mining Section Student Paper Competition Award, 2010

Nominee for IBM PhD Fellowship, Dept. of Computer Science and Engineering, Penn State University, 2010

Student Conference Travel Grant, Eberly College of Science, Penn State University, 2010

Graduation with highest honor (GPA ranked top 1%),  School of Computer Science, H.I.T., 2007

Outstanding College Student in Heilongjiang Province, H.I.T. (1/245), 2006

Top grade Merit-based Scholarship, Computer Science, H.I.T. (1/245), 2005

Fuji Xerox Fellowship, H.I.T. (3/245), 2004

Patents

Course Works

 


Useful Links
Hand Book of Computational Statistics
Schedule of courses at Penn State
Courses of Statistics at Penn State
Python
R Programming and Markov chain Monte Carlo (from Dr. Murali Haran)
Graph Models (video lectures)
Social Network Analysis (courses, seminar )
Information Retrieval Resources
Kernel Methods for pattern analysis
Advice Collections for PhD students (from Dr. Yuan Xie)

Locations of visitors to this page

Copyright 2007-2012 Maintained by Mu Qiao