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Ruoming Jin
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Publications
- 2023
- [c106]Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath:
Scalable Deep Metric Learning on Attributed Graphs. CSoNet 2023: 385-397 - 2022
- [c103]Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal:
Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM 2022: 88-95 - 2021
- [c99]Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal:
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet 2021: 79-92 - [i13]Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath:
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR abs/2112.15530 (2021) - 2020
- [c89]Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren:
Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. ICS 2020: 11:1-11:13 - 2019
- [i10]Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren:
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! CoRR abs/1906.12018 (2019) - 2014
- [p3]Victor E. Lee, Ruoming Jin, Gagan Agrawal:
Frequent Pattern Mining in Data Streams. Frequent Pattern Mining 2014: 199-224 - 2008
- [j7]Leonid Glimcher, Ruoming Jin, Gagan Agrawal:
Middleware for data mining applications on clusters and grids. J. Parallel Distributed Comput. 68(1): 37-53 (2008) - [j6]Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal:
MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explor. 10(2): 61-65 (2008) - [c38]Fan Wang, Gagan Agrawal, Ruoming Jin:
Query Planning for Searching Inter-dependent Deep-Web Databases. SSDBM 2008: 24-41 - 2007
- [c37]Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska:
SNPMiner: A Domain-Specific Deep Web Mining Tool. BIBE 2007: 192-199 - [c36]Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska:
Graph and Topological Structure Mining on Scientific Articles. BIBE 2007: 1318-1322 - [p1]Ruoming Jin, Gagan Agrawal:
Frequent Pattern Mining in Data Streams. Data Streams - Models and Algorithms 2007: 61-84 - 2006
- [j5]Ruoming Jin, Anjan Goswami, Gagan Agrawal:
Fast and exact out-of-core and distributed k-means clustering. Knowl. Inf. Syst. 10(1): 17-40 (2006) - [c33]Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska:
Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE 2006: 81-85 - [c32]Xuan Zhang, Ruoming Jin, Gagan Agrawal:
Assigning Schema Labels Using Ontology And Hueristics. BIBE 2006: 269-280 - [c30]Ruoming Jin, Gagan Agrawal:
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE 2006: 17 - [c29]Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal:
New Sampling-Based Estimators for OLAP Queries. ICDE 2006: 18 - [c28]Leonid Glimcher, Ruoming Jin, Gagan Agrawal:
FREERIDE-G: Supporting Applications that Mine Remote. ICPP 2006: 109-118 - 2005
- [j4]Ruoming Jin, Gagan Agrawal:
A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Evaluation 60(1-4): 73-105 (2005) - [j3]Ruoming Jin, Ge Yang, Gagan Agrawal:
Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Trans. Knowl. Data Eng. 17(1): 71-89 (2005) - [j2]Ruoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal:
Communication and Memory Optimal Parallel Data Cube Construction. IEEE Trans. Parallel Distributed Syst. 16(12): 1105-1119 (2005) - [c27]Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal:
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE 2005: 177-184 - [c26]Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal:
Learning Layouts of Biological Datasets Semi-automatically. DILS 2005: 31-45 - [c25]Ruoming Jin, Gagan Agrawal:
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM 2005: 210-217 - [c24]Leonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju:
Parallelizing a Defect Detection and Categorization Application. IPDPS 2005 - [c23]Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
A framework to support multiple query optimization for complex mining tasks. MDM@KDD 2005: 23-32 - [c22]Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD 2005: 600-605 - [c21]Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal:
Discovering frequent topological structures from graph datasets. KDD 2005: 606-611 - 2004
- [c20]Anjan Goswami, Ruoming Jin, Gagan Agrawal:
Fast and Exact Out-of-Core K-Means Clustering. ICDM 2004: 83-90 - [c19]Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal:
Using Tiling to Scale Parallel Data Cube Construction. ICPP 2004: 365-372 - 2003
- [j1]Ge Yang, Ruoming Jin, Gagan Agrawal:
Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Gener. Comput. Syst. 19(4): 533-550 (2003) - [c18]Ruoming Jin, Ge Yang, Gagan Agrawal:
Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC 2003: 74-84 - [c17]Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal:
Communication and Memory Optimal Parallel Data Cube Construction. ICPP 2003: 573-580 - [c16]Xiaogang Li, Ruoming Jin, Gagan Agrawal:
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS 2003: 7 - [c15]Ge Yang, Ruoming Jin, Gagan Agrawal:
Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS 2003: 66 - [c14]Ruoming Jin, Gagan Agrawal:
Efficient decision tree construction on streaming data. KDD 2003: 571-576 - [c13]Ruoming Jin, Gagan Agrawal:
Communication and Memory Efficient Parallel Decision Tree Construction. SDM 2003: 119-129 - 2002
- [c12]Ge Yang, Ruoming Jin, Gagan Agrawal:
Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID 2002: 84-92 - [c11]Ruoming Jin, Gagan Agrawal:
Runtime support for parallelizing data mining algorithms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 212-223 - [c10]Ruoming Jin, Gagan Agrawal:
Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par 2002: 346-354 - [c9]Ruoming Jin, Gagan Agrawal:
Design and Evaluation of a High-Level Interface for Data Mining. IPDPS 2002 - [c8]Xiaogang Li, Ruoming Jin, Gagan Agrawal:
Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC 2002: 265-279 - [c7]Ruoming Jin, Gagan Agrawal:
Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM 2002: 77-94 - [c6]Ruoming Jin, Gagan Agrawal:
Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS 2002: 117-128 - 2001
- [c5]Ruoming Jin, Gagan Agrawal:
An efficient association mining implementation on clusters of SMP. IPDPS 2001: 156 - [c4]Gagan Agrawal, Ruoming Jin, Xiaogang Li:
Compiler and Middleware Support for Scalable Data Mining. LCPC 2001: 33-51 - [c3]Ruoming Jin, Gagan Agrawal:
A Middleware for Developing Parallel Data Mining Applications. SDM 2001: 1-18 - 2000
- [c2]Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz:
Compiling Data Intensive Applications with Spatial Coordinates. LCPC 2000: 339-354 - [c1]Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz:
High Level Programming Methodologies for Data Intensive Computations. LCR 2000: 32-43
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