Hi, this
is Ruoming Jin's homepage!
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I
am an assistant professor in the Computer Science Department, Kent State University.
My research
focuses on Data Mining, Databases, Bioinformatics, and High Performance Computing.
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Education
Ph.D.
(2005) in
Computer Science: The Ohio State University
(Minors: Statistics and Theory of Computation)
M.S.
(2001) in Computer
Science: University of Delaware
M.E.
(1999), B.E. (1996) in Computer Engineering: Beihang University (BUAA), China
Selected Publications (Longer List)
Ruoming Jin, Yang Xiang, Ning Ruan, and Haixun Wang, Efficiently Answering Reachability Query in Very Large Directed Graphs, to appear in SIGMOD’08.
Ruoming Jin, Yuri Breitbart, and Chibuike Muoh, Data Discretization Unification, in ICDM'07.
Ruoming Jin and Gagan Agrawal, A Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases, in ICDE'06.
Ruoming Jin, Chao Wang, Dmitrii Polshako, Srinivasan Parthasarathy, and Gagan Agrawal, Discovering Frequent Topological Patterns from Graph Datasets, in KDD'05 (Technical Report).
Ruoming Jin, Ge Yang, and Gagan Agrawal, Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance, in the IEEE Transactions on Knowledge & Data Engineering (TKDE), Vol. 17, No. 1, January, 2005
Ruoming Jin, Anjan Goswami, and Gagan Agrawal, Fast and Exact Out-of-Core and Distributed K-Means Clustering, accepted in Knowledge and Information System (KAIS journal), an early version in ICDM'04.
Research Topics
Student
Recruiting
I am looking for highly motivated and dedicated Ph.D. and M.S. students to work
with me.
All students are expected to be self-motivated, hard-working, and creative team-players who are dedicated to quality research and willing to publish in
leading data mining, databases, and bioinformatics conferences and journals.
Preferences will be given to students who have
excellent programming skills, and/or good mathematics/statistics background. If
you have biology or bioinformatics background, that will be a big plus.
Interested students are encouraged to directly contact me (via email) to
pursuit this further.