Следене
Jiewen Huang
Jiewen Huang
Yale University
Няма потвърден имейл адрес
Заглавие
Позовавания
Позовавания
Година
Scalable SPARQL querying of large RDF graphs
J Huang, DJ Abadi, K Ren
Proceedings of the VLDB Endowment 4 (11), 1123-1134, 2011
6272011
Query execution systems and methods
D Abadi, J Huang
US Patent 8,886,631, 2014
3192014
MayBMS: a probabilistic database management system
J Huang, L Antova, C Koch, D Olteanu
Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009
1932009
Sprout: Lazy vs. eager query plans for tuple-independent probabilistic databases
D Olteanu, J Huang, C Koch
2009 IEEE 25th International Conference on Data Engineering, 640-651, 2009
1332009
HadoopDB in action: building real world applications
A Abouzied, K Bajda-Pawlikowski, J Huang, DJ Abadi, A Silberschatz
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
1092010
Approximate confidence computation in probabilistic databases
D Olteanu, J Huang, C Koch
2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 145-156, 2010
1032010
Leopard: Lightweight edge-oriented partitioning and replication for dynamic graphs
J Huang, DJ Abadi
Proceedings of the VLDB Endowment 9 (7), 2016
1022016
Using OBDDs for efficient query evaluation on probabilistic databases
D Olteanu, J Huang
International Conference on Scalable Uncertainty Management, 326-340, 2008
982008
Secondary-storage confidence computation for conjunctive queries with inequalities
D Olteanu, J Huang
Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009
562009
Anytime approximation in probabilistic databases
R Fink, J Huang, D Olteanu
The VLDB journal 22, 823-848, 2013
532013
Query optimization of distributed pattern matching
J Huang, K Venkatraman, DJ Abadi
2014 IEEE 30th International Conference on Data Engineering, 64-75, 2014
422014
Design and implementation of the SPROUT query engine for probabilistic databases
J Huang
Master's thesis, University of Oxford, 2009
52009
Maybms: A probabilistic database system. user manual
C Koch, D Olteanu, L Antova, J Huang
2009. http://maybms. sourceforge. net/manual, 2009
42009
Efficient Query Evaluation for Tuple-Independent Probabilistic Databases
J Huang
University of Oxford, 2008
2008
MayBMS: A Probabilistic DBMS
J Huang, L Antova, C Koch, D Olteanu
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