Long Cheng
Dr. Long Cheng
Wissenschaftlicher Mitarbeiter Knowledge Systems
- long.cheng@tu-dresden.de
- +49 351 463 38043
- +49 351 463 37959
- APB 3034
I am currently a Postdoc Researcher in the Knowledge Systems Group led by Dr. Markus Krötzsch at the Technische Universität Dresden. Before this, I was a PhD student at the National University of Ireland Maynooth (2011-2014).
I got my B.Eng degree from Harbin Insititute of Technology, China (2007) and received the M.Sc degree from Universität Duisburg-Essen, Germany (2010). Additionally, I worked as an Engineer in Huawei Technologies Germany (Düsseldorf) in 2011 and a Research Assistant in IBM Research Ireland (Dublin) during 2011-2014.
I joined in TU Dresden in June 2014. My research interests include High performance computing, Large-scale data processing, Distributed data management systems and Semantic web.
Neueste Publikationen
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Efficient Skew Handling for Outer Joins in a Cloud Computing Environment
IEEE Transactions on Cloud Computing, 6(2):558 - 571, 2018
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Design and Evaluation of Small-Large Outer Joins in Cloud Computing Environments
Journal of Parallel and Distributed Computing, 110:2-15, 2017
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Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems
Proc. 23rd IEEE International Conference on High Performance Computing (HiPC'16), 91-100, December 2016. IEEE
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Efficient Large Outer Joins over MapReduce
Proc. 22nd International European Conference on Parallel Processing (Euro-Par'16), 334-346, August 2016. Springer
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Fast Compression of Large Semantic Web Data using X10
IEEE Transactions on Parallel and Distributed Systems, 27(9):2603-2617, September 2016
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Scale-Out Processing of Large RDF Datasets
IEEE Transactions on Big Data, 1(4):138-150, December 2015
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High Throughput Indexing for Large-scale Semantic Web Data
Proc. 30th ACM/SIGAPP Symposium On Applied Computing (SAC'15), 416-422, April 2015. ACM
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Massively Parallel Reasoning under the Well-Founded Semantics using X10
Proc. 26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'14), 162-169, November 2014. IEEE
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A Two-tier Index Architecture for Fast Processing Large RDF Data over Distributed Memory
Proc. 25th ACM International Conference on Hypertext and Social Media (HT'14), 300-302, September 2014. ACM
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Efficient Parallel Dictionary Encoding for RDF Data
Proc. 17th International Workshop on the Web and Databases (WebDB'14), June 2014
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