Event detection from flickr data through wavelet-based spatial analysis. - Ling Chen 006; Abhishek Roy 008 (CIKM, 2009)

Massive Genomic Data Processing and Deep Analysis. - Abhishek Roy 008; Yanlei Diao; Evan Mauceli; Yiping Shen; Bai-Lin Wu (Proc. VLDB Endow., 2012)

Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis. - Yanlei Diao; Abhishek Roy 008; Toby Bloom (CIDR, 2015)

Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study. - Abhishek Roy 008; Yanlei Diao; Uday Evani; Avinash Abhyankar; Clinton Howarth; Rémi Le Priol; Toby Bloom (SIGMOD Conference, 2017)

Peregrine: Workload Optimization for Cloud Query Engines. - Alekh Jindal; Hiren Patel; Abhishek Roy 008; Shi Qiao 001; Zhicheng Yin; Rathijit Sen; Subru Krishnan (SoCC, 2019)

SparkCruise: Handsfree Computation Reuse in Spark. - Abhishek Roy 008; Alekh Jindal; Hiren Patel; Ashit Gosalia; Subru Krishnan; Carlo Curino (Proc. VLDB Endow., 2019)

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. - Ashvin Agrawal; Rony Chatterjee; Carlo Curino; Avrilia Floratou; Neha Godwal; Matteo Interlandi; Alekh Jindal; Konstantinos Karanasos; Subru Krishnan; Brian Kroth; Jyoti Leeka; Kwanghyun Park 001; et al. (CIDR, 2020)

Production Experiences from Computation Reuse at Microsoft. - Alekh Jindal; Shi Qiao 001; Hiren Patel; Abhishek Roy 008; Jyoti Leeka; Brandon Haynes (EDBT, 2021)

PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! - H. M. Sajjad Hossain; Marc T. Friedman; Hiren Patel; Shi Qiao 001; Soundar Srinivasan; Markus Weimer; Remmelt Ammerlaan; Lucas Rosenblatt; Gilbert Antonius; Peter Orenberg; Vijay Ramani; Abhishek Roy 008; et al. (Proc. VLDB Endow., 2021)

SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft. - Abhishek Roy 008; Alekh Jindal; Priyanka Gomatam; Xiating Ouyang; Ashit Gosalia; Nishkam Ravi; Swinky Mann; Prakhar Jain (Proc. VLDB Endow., 2021)

AutoExecutor: Predictive Parallelism for Spark SQL Queries. - Rathijit Sen; Abhishek Roy 008; Alekh Jindal; Rui Fang; Jeff Zheng; Xiaolei Liu; Ruiping Li (Proc. VLDB Endow., 2021)

Phoebe: A Learning-based Checkpoint Optimizer. - Yiwen Zhu; Matteo Interlandi; Abhishek Roy 008; Krishnadhan Das; Hiren Patel; Malay Bag; Hitesh Sharma; Alekh Jindal (Proc. VLDB Endow., 2021)

Predictive Price-Performance Optimization for Serverless Query Processing. - Rathijit Sen; Abhishek Roy 008; Alekh Jindal (EDBT, 2023)

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. - Barzan Mozafari; Radu Alexandru Burcuta; Alan Cabrera; Andrei Constantin; Derek Francis; David Grömling; Alekh Jindal; Maciej Konkolowicz; Valentin Marian Spac; Yongjoo Park; Russell Razo Carranzo; Nicholas Richardson; et al. (SIGMOD Conference Companion, 2023)