Aboue Me
My name is Shumin Guo (郭树民), I am from Shandong, China. I joined Kno.e.sis center of Wright State University as a Ph.D student in June 2010. Currently, I am working with Dr. Keke Chen at the DIAC Lab.
Here are my CV.
I am and was doing research in the following areas:
- Social Network Privacy Computing
- Privacy aware computing for data outsourcing in the cloud.
- Machine Learning
- Cloud Computing
Contact:
Email:[my-last-name][dot]18[at]wright[dot]edu Technical Blog: http://shumin-guo.blogspot.com/
Research projects
- PerturBoost: Boosting over Perturbed private data sets.
- PUTS: Privacy Utility Tradeoff in social network privacy settings.
- Cresp: Cloud resource provisioning for large scale MapReduce programs.
- CloudVista: Interactive visual data analytics for extreme scale data in the cloud.
- RASP: RAndom SPace encryption for efficient multidimensional range query on encrypted databases
Teaching Assistances
Office Hours: 5pm-6pm Tuesday and Thursday @ Joshi 364
- CS1160-01/02 Introduction to computer programming (java), Spring Semester 2013.
- CS1160-03 Introduction to Computer Programming (java), Fall Semester 2012.
- CEG220 C programming for Engineers, Spring Quarter 2012.
- CEG220 C programming for Engineers, Winter Quarter 2012.
Publications
Shumin
Guo, Keke Chen.
"POSTER: Privacy Preserving Boosting in the Cloud with Secure Half-Space Queries”
CCS 2012, Raleigh, NC [pdf] [poster]- Shumin Guo, Keke Chen.
"Mining Privacy Settings to Find Optimal Privacy Utility Tradeoffs for Social Networks Services."
PASSAT 2012, Amsterdam, The Netherlands [pdf][ppt] - Huiqi Xu, Zhen Li, Shumin Guo, and Keke Chen.
"CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud".
Demo VLDB 2012, Istanbul, Turkey [pdf][poster] - Keke Chen, Ramakanth Kavuluru, Shumin Guo.
"RASP: Efficient Multidimensional Range Query on Attack-Resilient Encrypted Databases"
CODASPY 2011 [pdf] - Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo.
"CloudVista: visual cluster exploration for extreme scale data in the cloud".
Scientific and Statistical Database Management Conference, Portland OR, 2011 [pdf]