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ORCIDFotis Psallidas
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2020 – today
- 2024
[j8]Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou:
Rapidash: Efficient Detection of Constraint Violations. Proc. VLDB Endow. 17(8): 2009-2021 (2024)- [c12]Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino:
NL2SQL is a solved problem... Not! CIDR 2024 - 2023
- [j7]Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan:
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. 16(12): 3662-3675 (2023) - [j6]Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez:
Optimizing Data Pipelines for Machine Learning in Feature Stores. Proc. VLDB Endow. 16(13): 4230-4239 (2023) - [c11]Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel:
Schema Matching using Pre-Trained Language Models. ICDE 2023: 1558-1571 - [c10]Fotis Psallidas
, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu:
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion 2023: 123-126 - [i8]Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou:
Rapidash: Efficient Constraint Discovery via Rapid Verification. CoRR abs/2309.12436 (2023) - 2022
- [j5]Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos:
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51(2): 30-37 (2022) - [i7]Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan:
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR abs/2210.14047 (2022) - 2021
- [j4]Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo:
SEIZE: Runtime Inspection for Parallel Dataflow Systems. IEEE Trans. Parallel Distributed Syst. 32(4): 842-854 (2021) - 2020
- [c9]Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu:
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR 2020 - [c8]Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino:
Extending Relational Query Processing with ML Inference. CIDR 2020 - [c7]Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo:
SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems. ICDCS 2020: 1199-1200 - [c6]Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer:
Vamsa: Automated Provenance Tracking in Data Science Scripts. KDD 2020: 1542-1551 - [i6]Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu:
Vamsa: Tracking Provenance in Data Science Scripts. CoRR abs/2001.01861 (2020)
2010 – 2019
- 2019
- [b1]Fotis Psallidas:
Physical Plan Instrumentation in Databases: Mechanisms and Applications. Columbia University, USA, 2019 - [i5]Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu:
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR abs/1909.00084 (2019) - [i4]Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino:
Extending Relational Query Processing with ML Inference. CoRR abs/1911.00231 (2019) - [i3]Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer:
Data Science through the looking glass and what we found there. CoRR abs/1912.09536 (2019) - 2018
- [j3]Fotis Psallidas, Eugene Wu:
Smoke: Fine-grained Lineage at Interactive Speed. Proc. VLDB Endow. 11(6): 719-732 (2018) - [c5]Fotis Psallidas, Eugene Wu:
Provenance for Interactive Visualizations. HILDA@SIGMOD 2018: 9:1-9:8 - [c4]Fotis Psallidas, Eugene Wu:
Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications. SIGMOD Conference 2018: 1781-1784 - [i2]Fotis Psallidas, Eugene Wu:
Smoke: Fine-grained Lineage at Interactive Speed. CoRR abs/1801.07237 (2018) - [i1]Fotis Psallidas, Eugene Wu:
Provenance for Interactive Visualizations. CoRR abs/1805.02622 (2018) - 2017
- [c3]Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig:
Combining Design and Performance in a Data Visualization Management System. CIDR 2017 - 2016
- [j2]Konstantinos Tsakalozos, Spiros Evangelatos, Fotis Psallidas, Marcos R. Vieira, Vassilis J. Tsotras, Alex Delis:
DiVA: Using Application-Specific Policies to 'Dive' into Vector Approximations. Comput. J. 59(9): 1363-1382 (2016) - 2015
- [c2]Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri:
S4: Top-k Spreadsheet-Style Search for Query Discovery. SIGMOD Conference 2015: 2001-2016 - 2013
- [j1]Fotis Psallidas, Hila Becker, Mor Naaman, Luis Gravano:
Effective Event Identification in Social Media. IEEE Data Eng. Bull. 36(3): 42-50 (2013) - [c1]Fotis Psallidas, Alexandros Ntoulas, Alex Delis:
Soc Web: Efficient Monitoring of Social Network Activities. WISE (2) 2013: 118-136
Coauthor Index
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