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Joy Arulraj

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affiliation: Georgia Institute of Technology, Atlanta, GA, USA

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2020 – today

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2024
[j18]
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Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL: Video Moment Querying with a Visual Query Interface. Proc. ACM Manag. Data 2(4): 204:1-204:27 (2024)
[j17]
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Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. Proc. VLDB Endow. 17(12): 4429-4432 (2024)
[c21]
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Xinyu Liu, Joy Arulraj, Alessandro Orso:
A Framework For Inferring Properties of User-Defined Functions. ICSE 2024: 108:1-108:11
[i12]
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Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim:
Hydro: Adaptive Query Processing of ML Queries. CoRR abs/2403.14902 (2024)
[i11]
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Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR abs/2405.18334 (2024)
2023
[j16]
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Jaeho Bang, Gaurav Tarlok Kakkar, Pramod Chunduri, Subrata Mitra, Joy Arulraj:
SEIDEN: Revisiting Query Processing in Video Database Systems. Proc. VLDB Endow. 16(9): 2289-2301 (2023)
[j15]
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Gaurav Tarlok Kakkar, Aryan Rajoria, Myna Prasanna Kalluraya, Ashmita Raju, Jiashen Cao, Kexin Rong, Joy Arulraj:
Interactive Demonstration of EVA. Proc. VLDB Endow. 16(12): 4082-4085 (2023)
[j14]
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Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
GPU Database Systems Characterization and Optimization. Proc. VLDB Endow. 17(3): 441-454 (2023)
[c20]
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Gaurav Tarlok Kakkar, Jiashen Cao, Pramod Chunduri, Zhuangdi Xu, Suryatej Reddy Vyalla, Prashanth Dintyala, Anirudh Prabakaran, Jaeho Bang, Aubhro Sengupta, Kaushik Ravichandran, Ishwarya Sivakumar, Aryan Rajoria, Ashmita Raju, Tushar Aggarwal, Abdullah Shah, Sanjana Garg, Shashank Suman, Myna Prasanna Kalluraya, Subrata Mitra, Ali Payani, Yao Lu, Umakishore Ramachandran, Joy Arulraj:
EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD 2023: 8:1-8:5
[c19]
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Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100
[i10]
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  - journals/corr/abs-2302-00734
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Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
Revisiting Query Performance in GPU Database Systems. CoRR abs/2302.00734 (2023)
2022
[j13]
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Joy Arulraj:
Letter from the Rising Star Award Winner. IEEE Data Eng. Bull. 45(3): 145-146 (2022)
[c18]
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Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. ICDE 2022: 2735-2748
[c17]
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Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso:
Automatic Detection of Performance Bugs in Database Systems using Equivalent Queries. ICSE 2022: 225-236
[c16]
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  - conf/sigmod/ChunduriBLA22
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Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj:
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. SIGMOD Conference 2022: 545-558
[c15]
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Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference 2022: 559-572
[c14]
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Zhuangdi Xu, Gaurav Tarlok Kakkar, Joy Arulraj, Umakishore Ramachandran:
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views. SIGMOD Conference 2022: 602-616
2021
[j12]
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Joy Arulraj, Abhijit Chatterjee, Alexandros Daglis, Ashutosh Dhekne, Umakishore Ramachandran:
eCloud: A Vision for the Evolution of the Edge-Cloud Continuum. Computer 54(5): 24-33 (2021)
[j11]
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Arthita Ghosh, Arpit Narechania, Visweswara Sai Prashanth Dintyala, Su Timurturkan, Joy Arulraj, Deven Bansod:
Interactive Demonstration of SQLCHECK. Proc. VLDB Endow. 14(12): 2779-2782 (2021)
[j10]
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Joy Arulraj:
Accelerating Video Analytics. SIGMOD Rec. 50(4): 39-40 (2021)
[c13]
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Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SIA: Optimizing Queries using Learned Predicates. SIGMOD Conference 2021: 2169-2181
[c12]
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Xinjing Zhou, Joy Arulraj, Andrew Pavlo, David E. Cohen:
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. SIGMOD Conference 2021: 2195-2207
[i9]
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  - journals/corr/abs-2102-08481
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Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR abs/2102.08481 (2021)
[i8]
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  - journals/corr/abs-2104-01671
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Jaeho Bang, Pramod Chunduri, Joy Arulraj:
EKO: Adaptive Sampling of Compressed Video Data. CoRR abs/2104.01671 (2021)
[i7]
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  - journals/corr/abs-2104-06142
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Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj:
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. CoRR abs/2104.06142 (2021)
[i6]
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  - journals/corr/abs-2105-10016
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Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso:
Automated Performance Bug Detection in Database Systems. CoRR abs/2105.10016 (2021)
2020
[j9]
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  - journals/pvldb/SupremAPF20
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Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira:
ODIN: Automated Drift Detection and Recovery in Video Analytics. Proc. VLDB Endow. 13(11): 2453-2465 (2020)
[c11]
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  - conf/sigmod/DintyalaNA20
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Prashanth Dintyala, Arpit Narechania, Joy Arulraj:
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. SIGMOD Conference 2020: 2331-2345
[i5]
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  - journals/corr/abs-2004-00481
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Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SPES: A Two-Stage Query Equivalence Verifier. CoRR abs/2004.00481 (2020)
[i4]
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  - journals/corr/abs-2004-10232
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Visweswara Sai Prashanth Dintyala, Arpit Narechania, Joy Arulraj:
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. CoRR abs/2004.10232 (2020)
[i3]
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  - journals/corr/abs-2009-05440
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Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira:
ODIN: Automated Drift Detection and Recovery in Video Analytics. CoRR abs/2009.05440 (2020)

2010 – 2019

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2019
[b1]
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Joy Arulraj, Andrew Pavlo:
Non-Volatile Memory Database Management Systems. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00740-8
[j8]
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Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Dong Xu:
Automated Verification of Query Equivalence Using Satisfiability Modulo Theories. Proc. VLDB Endow. 12(11): 1276-1288 (2019)
[j7]
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Jinho Jung, Hong Hu, Joy Arulraj, Taesoo Kim, Woon-Hak Kang:
APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems. Proc. VLDB Endow. 13(1): 57-70 (2019)
[c10]
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Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
Video analytics from edge to server: work-in-progress. CODES+ISSS 2019: 14:1-14:2
[c9]
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Joy Arulraj:
Data Management on Non-Volatile Memory. SIGMOD Conference 2019: 1114
[i2]
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  - journals/corr/abs-1901-07064
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Joy Arulraj, Ran Xian, Lin Ma, Andrew Pavlo:
Predictive Indexing. CoRR abs/1901.07064 (2019)
[i1]
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  - journals/corr/abs-1901-10938
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Joy Arulraj, Andy Pavlo, Krishna Teja Malladi:
Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. CoRR abs/1901.10938 (2019)
2018
[j6]
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Joy Arulraj, Justin J. Levandoski, Umar Farooq Minhas, Per-Åke Larson:
BzTree: A High-Performance Latch-free Range Index for Non-Volatile Memory. Proc. VLDB Endow. 11(5): 553-565 (2018)
2017
[j5]
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Yingjun Wu, Joy Arulraj, Jiexi Lin, Ran Xian, Andrew Pavlo:
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control. Proc. VLDB Endow. 10(7): 781-792 (2017)
[j4]
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Kai Ren, Qing Zheng, Joy Arulraj, Garth Gibson:
SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data. Proc. VLDB Endow. 10(13): 2037-2048 (2017)
[c8]
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Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, Tieying Zhang:
Self-Driving Database Management Systems. CIDR 2017
[c7]
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Joy Arulraj, Andrew Pavlo:
How to Build a Non-Volatile Memory Database Management System. SIGMOD Conference 2017: 1753-1758
2016
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Peter Bailis, Joy Arulraj, Andrew Pavlo:
Research for practice: distributed consensus and implications of NVM on database management systems. Commun. ACM 59(11): 52-55 (2016)
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Joy Arulraj, Matthew Perron, Andrew Pavlo:
Write-Behind Logging. Proc. VLDB Endow. 10(4): 337-348 (2016)
[j1]
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Peter Bailis, Camille Fournier, Joy Arulraj, Andy Pavlo:
Research for Practice: Distributed Consensus and Implications of NVM on Database Management Systems. ACM Queue 14(3): 40 (2016)
[c6]
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Lin Ma, Joy Arulraj, Sam Zhao, Andrew Pavlo, Subramanya R. Dulloor, Michael J. Giardino, Jeff Parkhurst, Jason L. Gardner, Kshitij A. Doshi, Stanley B. Zdonik:
Larger-than-memory data management on modern storage hardware for in-memory OLTP database systems. DaMoN 2016: 9:1-9:7
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Joy Arulraj, Andrew Pavlo, Prashanth Menon:
Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads. SIGMOD Conference 2016: 583-598
2015
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Joy Arulraj, Andrew Pavlo, Subramanya Dulloor:
Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. SIGMOD Conference 2015: 707-722
2014
[c3]
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Joy Arulraj, Guoliang Jin, Shan Lu:
Leveraging the short-term memory of hardware to diagnose production-run software failures. ASPLOS 2014: 207-222
[c2]
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Justin A. DeBrabant, Joy Arulraj, Andrew Pavlo, Michael Stonebraker, Stanley B. Zdonik, Subramanya Dulloor:
A Prolegomenon on OLTP Database Systems for Non-Volatile Memory. ADMS@VLDB 2014: 57-63
2013
[c1]
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Joy Arulraj, Po-Chun Chang, Guoliang Jin, Shan Lu:
Production-run software failure diagnosis via hardware performance counters. ASPLOS 2013: 101-112

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