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Arun Kumar

Author ID
871
ORCID
-
Links
(found by gpt-5.2 on feb 8th, 2026)
Most Frequent Institution
University of California San Diego
Pagerank
0.34451867
Overall Rank
122 | 99.42%
Paper Count
42

Affiliation Timeline

Incoming Non-self Citations Over Time

Total yearly non-self incoming citations across all papers by this author.

Publications by Paper Pagerank

Showing 42 of 42 publications.

Rank Title Year Venue Pagerank
139 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042320525
638 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00018810785
684 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00018152321
758 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053915
901 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00015462938
1,172 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00013504249
1,283 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012826013
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
1,891 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.0001018452
2,197 Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra 2019 SIGMOD 9.3117431e-05
2,871 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.9800983e-05
2,892 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.9570135e-05
2,919 Brainwash: A Data System for Feature Engineering 2013 CIDR 7.9017482e-05
3,212 Panorama: A Data System for Unbounded Vocabulary Querying over Video 2020 VLDB 7.3772955e-05
3,640 Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 2017 SIGMOD 6.8886042e-05
3,953 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 6.5896733e-05
4,040 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 6.5052227e-05
4,123 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 6.4290005e-05
4,283 The future of data(base) education: Is the "cow book" dead? 2021 VLDB 6.2824978e-05
4,374 Understanding and Benchmarking the Impact of GDPR on Database Systems 2020 VLDB 6.2346849e-05
4,470 Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data 2019 SIGMOD 6.1525931e-05
4,601 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.05274e-05
4,794 Demonstration of Santoku: Optimizing Machine Learning over Normalized Data 2015 VLDB 5.910645e-05
5,244 Towards Benchmarking Feature Type Inference for AutoML Platforms 2021 SIGMOD 5.6021738e-05
5,448 SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference 2025 SIGMOD 5.4980173e-05
5,535 SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data 2020 SIGMOD 5.4552771e-05
6,535 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.0184189e-05
6,546 Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 5.0127399e-05
6,552 How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses 2024 VLDB 5.0109216e-05
6,885 Lotan: Bridging the Gap between GNNs and Scalable Graph Analytics Engines 2023 VLDB 4.8908367e-05
7,270 Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System 2013 VLDB 4.776491e-05
7,656 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 4.6826896e-05
8,125 Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? 2021 SIGMOD 4.5765541e-05
8,377 Probabilistic Management of OCR Data using an RDBMS 2012 VLDB 4.5277353e-05
8,593 Towards A Polyglot Framework for Factorized ML 2021 VLDB 4.4846362e-05
8,864 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 4.4283952e-05
9,225 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 4.3656789e-05
9,226 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 4.3656789e-05
9,603 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 4.3136057e-05
13,185 Reimagining Deep Learning Systems Through the Lens of Data Systems 2024 VLDB -
13,284 Errata for “Cerebro: A Data System for Optimized Deep Learning Model Selection” 2021 VLDB -
13,326 Demonstration of Krypton: Optimized CNN Inference for Occlusion-based Deep CNN Explanations 2019 VLDB -
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Frequent Co-authors

Co-authored at least 5 papers.

Co-author Shared Papers Rank Pagerank
Supun Nakandala 8 914 0.074358505
Jeffrey Naughton 6 7 1.0624938
Christopher Ré 6 62 0.50159228
Yuhao Zhang 6 1,686 0.04349018
Jignesh Patel 5 28 0.68764149
Lingjiao Chen 5 1,624 0.045230925
Vraj Shah 5 1,626 0.045116893
Side Li 5 1,640 0.044614962