Ruoming Jin’s Publications 

Papers Under Review or In-Preparation 

• Ruoming Jin, Chao Wang, Dmitrii Polshako, Srinivasan Parthasarathy, and Gagan Agrawal, Discovering Frequent Topological Patterns from Graph Datasets, submitted for publication. 
• Ruoming Jin and Gagan Agrawal,  A Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases, submitted for publication.
• Ruoming Jin, Kaushik Sinhak, and Gagan Agrawal, Simultaneous Optimization of Complex Mining Tasks with a Knowledgeable Cache, submitted for publication. 
• Chao Wang, Ruoming Jin, and Srinivasan Parthasarathy, A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries, submitted for publication.   
• Ruoming Jin and Gagan Agrawal, An Algorithm for In-Core Frequent Itemset Mining on Streaming Data, in preparation.
• Ruoming Jin, Leo Glimcher, Chris Jermaine, and Gagan Agrawal, A New Robust Estimation Technique for Approximate Processing of OLAP Queries, in preparation.

 

Journal Publications

• 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).
• Ruoming Jin, Karthik Vaidyanathan, Ge Yang, and Gagan Agrawal, Communication and Memory Optimal Parallel Data Cube Construction, accepted in the IEEE transactions on Parallel and Distributed Systems (TPDS). 
• Ruoming Jin and Gagan Agrawal, A Methodology for Detailed Performance Modeling of Reduction Computations on SMP Machines, accepted in the special issue of "Performance Evaluation: An International Journal" on Performance Modeling and Evaluation of High-Performance Parallel and Distributed Systems.
• Ruoming Jin, Ge Yang, and Gagan Agrawal, Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance, to be appeared in the IEEE Transactions on Knowledge & Data Engineering (TKDE), Vol.17, No.1, Jan. 2005.
• Ge Yang, Ruoming Jin, Gagan Agrawal: Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Generation Computer System.19 (4): 533-550 (2003).
• Changai Sun, Maozhong Jin, Chao Liu, and Ruoming Jin, Research on Static Prediction and Visual Analysis of Program Execution Time, Journal of software, Vol. 14, No. 1, p: 68-75, 2003.
• Changai Sun, Ruoming Jin, Chao Liu, and Maozhong Jin, Testing Technology of Real-time and Embedded Software. Journal of Mini Micro Systems. Vol. 21, No. 9, p: 920-924, 2000.

 

Conference Publications

• Leo Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, and Raghu Machiraju, Parallelizing a Defect Detection and Categorization Application, in the Pro. of International Parallel and Distributd Processing Symposium (IPDPS), 2005
• Anjan Goswami, Ruoming Jin, and Gagan Agrawal,  Fast and Exact Out-of-Core K-Means Clustering, in the Proc. of International Conference on Data Mining (ICDM), Nov. 2004.
• Ruoming Jin, Karthik Vaidyanathan, Ge Yang, and Gagan Agrawal, Using Tiling to Scale Parallel Data Cube Construction,  in the Proc. of International Conference on Parallel Processing (ICPP), August 2004.  
• Ruoming Jin and Gagan Agrawal,  Efficient Decision Tree Construction on Streaming Data, in the Proc. of 9th International Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2003.
• Ruoming Jin and Gagan Agrawal,  Communication and Memory Efficient Parallel Decision Tree Construction, in the Proc. of Third SIAM International Conference on Data Mining (SDM), April 2003.
• Ruoming Jin, Ge Yang and Gagan Agrawal, Communication and Memory Optimal Parallel Data Cube Construction, in the Proc. of International Conference on Parallel Processing (ICPP), August 2003.
• Ge Yang, Ruoming Jin and Gagan Agrawal,  Impact of Data Distribution, Level of Parallelism and Communication Frequency on Parallel Data Cube Construction, in the Proc. of International Parallel and Distributed Processing Symposium (IPDPS), May, 2003.
• Xiaogang Li, Ruoming Jin and Gagan Agrawal, A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms, in the Proc. of International Parallel and Distributed Processing Symposium (IPDPS), May, 2003.
• Ruoming Jin and Gagan Agrawal, Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware, in EuroPar (EuroPar), August 2002.
• Ruoming Jin and Gagan Agrawal, Performance Prediction for Random Write Reduction: A Case Study in Modeling Shared Memory Programs, in ACM Sigmetrics (SIGMETRICS), June 2002.
• Ruoming Jin and Gagan Agrawal,  Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance, in the Proc. of Second SIAM International Conference on Data Mining (SDM) , April 2002.
• Ge Yang, Ruoming Jin and Gagan Agrawal, Implementing Data Cube Construction Using a Cluster Middleware: Algorithms, Implementation Experience and Performance Evaluation, in the Proc. of 2nd IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2002.
• Ruoming Jin and Gagan Agrawal,  A Middleware for Developing Parallel Data Mining Applications, in the Proc. of First SIAM Conference on Data Mining (SDM) , April 2001.

 

Referred Workshop Publications

• Ruoming Jin and Gagan Agrawal, Combining Distributed Memory and Shared Memory Parallelization for Data Mining Algorithms, in the 6^th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining (HPDM: PDS’03) in conjunction with Third SIAM International Conference on Data Mining, 2003.
• Xiaogang Li, Ruoming Jin, and Gagan Agrawal,  Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms, in proceedings of Languages and Compilers for Parallel Computing (LCPC), 2002.
• Gagan Agrawal, Ruoming Jin, and Xiaogang Li,  Compiler and Middleware Support for Scalable Data Mining, in 9th Workshop on Compilers for Parallel Computers, June 2001.
• Ruoming Jin and Gagan Agrawal,  An Efficient Association Mining Implementation on Cluster of SMPs, in 4th International Workshop on Parallel and Distributed Data Mining, April 2001.
• Renato Ferreira, Gagan Agrawal, Ruoming Jin, and Joel Saltz, Compiling Data Intensive Applications with Spatial Coordinates, in Proceedings of Languages and Compilers for Parallel Computing, pp.333-347, August 2000.
• Gagan Agrawal, Renato Ferreira, Joel Saltz, and Ruoming Jin, High-level Programming Methodologies for Data Intensive Computing, in Proceedings of Languages, Compilers and Runtime Systems for Scalable Machines, May 2000.

 

Technical Reports

• Ruoming Jin, Karthik Vaidyanathan, Ge Yang, and Gagan Agrawal, "Using Tiling to Scale Parallel Data Cube Construction," 23 pp. OSU-CISRC-5/04-TR35. Electronic report available under 2004/TR35.pdf OSU-CISRC-5/04--TR35.
• Ruoming Jin and Gagan Agrawal, "An Algorithm for In-Core Frequent Itemset Mining on Streaming Data," 10 pp. OSU-CISRC-2/04-TR14. Electronic report available under 2004/TR14.pdf OSU-CISRC-2/04--TR14.
• Ruoming Jin and Gagan Agrawal, "Efficient Decision Tree Construction on Streaming Data," 10 pp. OSU-CISRC-6/03-TR34. Electronic report under 2003/TR34.pdf OSU-CISRC-6/03--TR34.

 

Miscellaneous

• Gagan Agrawal, Ruoming Jin, Raghu Machiraju, and Srini Parthasarathy, Systems Support for High-Performance Scientific Data Mining,
  poster in the NSF Workshop on Next Generation Data Mining (NGDM02), Nov, 2002.
• Ruoming Jin and Gagan Agrawal,  Parallelizing Data Intensive Reductions on SMP Clusters  submitted for publication.
• Ruoming Jin and Gagan Agrawal,  Developing Data Intensive Applications on SMP Clusters, talk in the First SIAM Conference on Computational Science and Engineering, September 2000.
• Ruoming Jin,   Real time and Embedded Software Testing Techniques, Master's thesis, CSE Dept. Beijing University of Aeronautics and Astronautics, China, Feb. 1999.