Support for Scalable Analytics over Databases and Data-Streams. - Nikolay Pavlovich Laptev (2012)

Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. - Fan Fred Lin; Keyur Muzumdar; Nikolay Pavlovich Laptev; Mihai-Valentin Curelea; Seunghak Lee; Sriram Sankar (Proc. ACM Meas. Anal. Comput. Syst., 2020)

Self-supervised learning for fast and scalable time series hyper-parameter tuning. - Peiyi Zhang; Xiaodong Jiang; Ginger M. Holt; Nikolay Pavlovich Laptev; Caner Komurlu; Peng Gao; Yang Yu (CoRR, 2021)

Smarter Warehouse. - Nikolay Pavlovich Laptev; Wenbo Tao; Caner Komurlu; Jason Xu; Deke Sun; Thomas C. H. Lux; Luo Mi (ICDE Workshops, 2022)

Pando: Enhanced Data Skipping with Logical Data Partitioning. - Sivaprasad Sudhir; Wenbo Tao; Nikolay Pavlovich Laptev; Cyrille Habis; Michael J. Cafarella; Samuel Madden 001 (Proc. VLDB Endow., 2023)

AI-Assisted SQL Authoring at Industry Scale. - Chandra Shekhar Maddila; Negar Ghorbani; Kosay Jabre; Vijayaraghavan Murali; Edwin Kim; Parth Thakkar; Nikolay Pavlovich Laptev; Olivia Harman; Diana Hsu; Rui Abreu 001; Peter C. Rigby (SEIP@ICSE, 2025)