Scope: easy and efficient parallel processing of massive data sets R Chaiken, B Jenkins, PÅ Larson, B Ramsey, D Shakib, S Weaver, J Zhou Proceedings of the VLDB Endowment 1 (2), 1265-1276, 2008 | 1036 | 2008 |
Apollo: Scalable and Coordinated Scheduling for {Cloud-Scale} Computing E Boutin, J Ekanayake, W Lin, B Shi, J Zhou, Z Qian, M Wu, L Zhou 11th USENIX symposium on operating systems design and implementation (OSDI …, 2014 | 416 | 2014 |
Implementing database operations using SIMD instructions J Zhou, KA Ross Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002 | 332 | 2002 |
Reoptimizing data parallel computing S Agarwal, S Kandula, N Bruno, MC Wu, I Stoica, J Zhou 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012 | 245 | 2012 |
Representation learning for attributed multiplex heterogeneous network Y Cen, X Zou, J Zhang, H Yang, J Zhou, J Tang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 230 | 2019 |
SCOPE: parallel databases meet MapReduce J Zhou, N Bruno, MC Wu, PA Larson, R Chaiken, D Shakib The VLDB Journal 21 (5), 611-636, 2012 | 180 | 2012 |
MTCache: Transparent mid-tier database caching in SQL server PA Larson, J Goldstein, J Zhou Proceedings. 20th International Conference on Data Engineering, 177-188, 2004 | 163 | 2004 |
Efficient exploitation of similar subexpressions for query processing J Zhou, PA Larson, JC Freytag, W Lehner Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007 | 143 | 2007 |
Aligraph: a comprehensive graph neural network platform R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou arXiv preprint arXiv:1902.08730, 2019 | 126 | 2019 |
Lazy maintenance of materialized views J Zhou, PA Larson, HG Elmongui Proceedings of the 33rd international conference on Very large data bases …, 2007 | 126 | 2007 |
Asynchronous database index maintenance PA Carlin, PA Larson, J Zhou US Patent 8,140,495, 2012 | 123 | 2012 |
Incorporating partitioning and parallel plans into the SCOPE optimizer J Zhou, PA Larson, R Chaiken 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010 …, 2010 | 117 | 2010 |
Improving database performance on simultaneous multithreading processors J Zhou, J Cieslewicz, KA Ross, M Shah | 116 | 2005 |
Distributed multi-phase batch job processing T Phan, J Zhou US Patent 8,966,486, 2015 | 107 | 2015 |
Buffering databse operations for enhanced instruction cache performance J Zhou, KA Ross Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004 | 107 | 2004 |
Buffering accesses to memory-resident index structures J Zhou, KA Ross Proceedings 2003 VLDB Conference, 405-416, 2003 | 100 | 2003 |
Optimizing Data Shuffling in {Data-Parallel} Computation by Understanding {User-Defined} Functions J Zhang, H Zhou, R Chen, X Fan, Z Guo, H Lin, JY Li, W Lin, J Zhou, ... 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012 | 99 | 2012 |
{StreamScope}: Continuous Reliable Distributed Processing of Big Data Streams W Lin, Z Qian, J Xu, S Yang, J Zhou, L Zhou 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2016 | 95 | 2016 |
Parallel computing execution plan optimization N Bruno, J Zhou, S Kandula, S Agarwal, MC Wu US Patent 9,235,446, 2016 | 88 | 2016 |
Partially materialized views PA Larson, J Zhou, J Goldstein US Patent App. 10/971,600, 2006 | 88 | 2006 |