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ORCIDNikolay Pavlovich Laptev
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2020 – today
- 2024
[i3]Chandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu, Peter C. Rigby:
AI-Assisted SQL Authoring at Industry Scale. CoRR abs/2407.13280 (2024)- 2023
- [j2]Sivaprasad Sudhir, Wenbo Tao, Nikolay Pavlovich Laptev, Cyrille Habis, Michael J. Cafarella, Samuel Madden:
Pando: Enhanced Data Skipping with Logical Data Partitioning. Proc. VLDB Endow. 16(9): 2316-2329 (2023) - 2022
- [c2]Nikolay Pavlovich Laptev, Wenbo Tao, Caner Komurlu, Jason Xu, Deke Sun, Thomas C. H. Lux, Luo Mi:
Smarter Warehouse. ICDE Workshops 2022: 1-8 - 2021
- [i2]Peiyi Zhang, Xiaodong Jiang, Ginger M. Holt, Nikolay Pavlovich Laptev, Caner Komurlu, Peng Gao, Yang Yu:
Self-supervised learning for fast and scalable time series hyper-parameter tuning. CoRR abs/2102.05740 (2021) - 2020
- [j1]Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 31:1-31:23 (2020) - [c1]Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. SIGMETRICS (Abstracts) 2020: 25-26
2010 – 2019
- 2019
- [i1]Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment. CoRR abs/1911.01225 (2019) - 2012
- [b1]Nikolay Pavlovich Laptev:
Support for Scalable Analytics over Databases and Data-Streams. University of California, Los Angeles, USA, 2012
Coauthor Index
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