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ORCIDXiaogang Li 0001
Person information
- affiliation: Ohio State University, Columbus, OH, USA
- affiliation (former): University of Delaware, Department of Computer and Information Sciences, Newark, USA
Other persons with the same name
- Xiaogang Li — disambiguation page
- Xiaogang Li 0002
![[0000-0001-9255-7559]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9255-7559")
— University of Science and Technology Beijing, School of Materials Science and Engineering, China (and 1 more) - Xiaogang Li 0003 — Alibaba Inc., San Mateo, CA, USA
- Xiaogang Li 0004 — Northwestern Polytechnical University, College of Aeronautics, Xi'an, China (and 1 more)
Other persons with a similar name
- Xiao-Gang Li (aka: XiaoGang Li, Xiao-gang Li) — disambiguation page
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2000 – 2009
- 2006
[c10]Xiaogang Li, Gagan Agrawal:
Parallelizing XQuery In a Cluster Environment. IDEAS 2006: 291-294- 2005
- [c9]Xiaogang Li, Gagan Agrawal:
Code Transformations for One-Pass Analysis. LCPC 2005: 377-396 - [c8]Xiaogang Li, Gagan Agrawal:
Efficient Evaluation of XQuery over Streaming Data. VLDB 2005: 265-276 - 2004
- [c7]Xiaogang Li, Swarup Kumar Sahoo, Gagan Agrawal:
XQuery Perspective: Using XML/XQuery for Scientific Applications and Applying Scientific Compilation Techniques. XIME-P 2004: 25-30 - 2003
- [c6]Xiaogang Li, Gagan Agrawal:
Using XQuery for Flat-File Based Scientific Datasets. DBPL 2003: 179-194 - [c5]Xiaogang Li, Renato Ferreira, Gagan Agrawal:
Compiler support for efficient processing of XML datasets. ICS 2003: 42-52 - [c4]Xiaogang Li, Ruoming Jin, Gagan Agrawal:
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS 2003: 7 - [c3]Xiaogang Li, Gagan Agrawal:
Supporting High-Level Abstractions through XML Technology. LCPC 2003: 127-146 - 2002
- [c2]Xiaogang Li, Ruoming Jin, Gagan Agrawal:
Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC 2002: 265-279 - 2001
- [c1]Gagan Agrawal, Ruoming Jin, Xiaogang Li:
Compiler and Middleware Support for Scalable Data Mining. LCPC 2001: 33-51
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