Abhishek Roy

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Alekh JindalFounding Chief Architect, KeeboVerified email at keebo.ai
hiren patelProgram Manager, MicrosoftVerified email at microsoft.com
Rathijit SenMicrosoft CorporationVerified email at microsoft.com
Shi QiaoMicrosoftVerified email at microsoft.com
Subru KrishnanMicrosoftVerified email at microsoft.com
Ling Chenuniversity of technology sydneyVerified email at uts.edu.au
Yanlei DiaoProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Markus WeimerPrincipal Scientist; MicrosoftVerified email at microsoft.com
Carlo Aldo CurinoPrincipal Research Scientist Lead, Microsoft -- CISL/GSLVerified email at microsoft.com
Toby Bloom, Ph.D.Verified email at alum.mit.edu
Matteo InterlandiMicrosoftVerified email at microsoft.com
Yiwen ZhuMicrosoftVerified email at mit.edu
Jyoti LeekaSenior Research Scientist, Microsoft ResearchVerified email at microsoft.com
Olga PoppeMicrosoft SQL ServerVerified email at microsoft.com
Raghu RamakrishnanMicrosoftVerified email at microsoft.com
Fotis PsallidasSenior RSDE, MicrosoftVerified email at microsoft.com
Avrilia FloratouPrincipal Scientist at MicrosoftVerified email at microsoft.com
Ashvin AgrawalSr. Research Engineer, MicrosoftVerified email at microsoft.com
Arijit ChatterjeeMicrosoft Corporation,North Dakota State UniversityVerified email at microsoft.com
Konstantinos KaranasosData Infra at MetaVerified email at fb.com

Abhishek Roy

Keebo

Verified email at keebo.ai - Homepage

Database Systems Large-Scale Data Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Event detection from flickr data through wavelet-based spatial analysis L Chen, A Roy Proceedings of the 18th ACM conference on Information and knowledge …, 2009	286	2009
Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis. Y Diao, A Roy, T Bloom CIDR, 2015	26	2015
Peregrine: Workload Optimization for Cloud Query Engines A Jindal, H Patel, A Roy, S Qiao, Z Yin, R Sen, S Krishnan Proceedings of the ACM Symposium on Cloud Computing, 416-427, 2019	25	2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... CIDR, 2020	24	2020
Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study A Roy, Y Diao, U Evani, A Abhyankar, C Howarth, R Le Priol, T Bloom Proceedings of the 2017 ACM International Conference on Management of Data …, 2017	14	2017
Massive genomic data processing and deep analysis A Roy, Y Diao, E Mauceli, Y Shen, BL Wu Proceedings of the VLDB Endowment 5 (12), 1906-1909, 2012	10	2012
SparkCruise: handsfree computation reuse in Spark A Roy, A Jindal, H Patel, A Gosalia, S Krishnan, C Curino Proceedings of the VLDB Endowment 12 (12), 1850-1853, 2019	8	2019
Phoebe: A Learning-based Checkpoint Optimizer Y Zhu, M Interlandi, A Roy, K Das, H Patel, M Bag, H Sharma, A Jindal Proc. VLDB Endow. 14 (11), 2505-2518, 2021	5	2021
SparkCruise: workload optimization in managed spark clusters at Microsoft A Roy, A Jindal, P Gomatam, X Ouyang, A Gosalia, N Ravi, S Mann, ... Proceedings of the VLDB Endowment 14 (12), 3122-3134, 2021	4	2021
AutoExecutor: Predictive Parallelism for Spark SQL Queries R Sen, A Roy, A Jindal, R Fang, J Zheng, X Liu, R Li Proc. VLDB Endow. 14 (12), 2855-2858, 2021	3	2021
Production Experiences from Computation Reuse at Microsoft A Jindal, S Qiao, H Patel, A Roy, J Leeka, B Haynes Proceedings of the 24th International Conference on Extending Database …, 2021	3	2021
Predictive Price-Performance Optimization for Serverless Query Processing R Sen, A Roy, A Jindal arXiv preprint arXiv:2112.08572, 2021	1	2021
PerfGuard: deploying ML-for-systems without performance regressions, almost! R Ammerlaan, G Antonius, M Friedman, HMS Hossain, A Jindal, ... Proceedings of the VLDB Endowment 14 (13), 3362-3375, 2021	1	2021
PerfGuard: Deploying ML-for-Systems without Performance Regressions HMS Hossain, L Rosenblatt, G Antonius, I Shaffer, R Ammerlaan, A Roy, ... Workshop on MLOps Systems, 2020	1	2020
System and method for machine learning for system deployments without performance regressions IR Shaffer, RHL Ammerlaan, G Antonius, MT Friedman, ROY Abhishek, ... US Patent App. 16/840,205, 2021		2021
Cloud based query workload optimization CA Patel, Hiren S and Sen, Rathijit and Yin, Zhicheng and Shi, QIAO and ... US Patent App. 16/581,905, 2021		2021

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