Fotis Psallidas

32 papers A* 2A 5Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Nexus: Inferring Join Graphs from Metadata Alone via Iterative Low-Rank Matrix Completion.
CoRR
Tianji Cong, Yuanyuan Tian, Andreas Müller, Rathijit Sen, Yeye He, Fotis Psallidas, Shaleen Deep, H. V. Jagadish
2025 J jnl
Optimizing open-domain question answering with graph-based retrieval augmented generation.
CoRR
Joyce Cahoon, Prerna Singh, Nick Litombe, Jonathan Larson, Ha Trinh, Yiwen Zhu, Andreas Müller, Fotis Psallidas, Carlo Curino
2024 A conf
NL2SQL is a solved problem... Not!
CIDR
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
2024 J jnl
Rapidash: Efficient Detection of Constraint Violations.
Proc. VLDB Endow.
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
2024 J jnl
Sphinteract: Resolving Ambiguities in NL2SQL Through User Interaction.
Proc. VLDB Endow.
Fuheng Zhao, Shaleen Deep, Fotis Psallidas, Avrilia Floratou, Divy Agrawal, Amr El Abbadi
2023 — conf
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.
SIGMOD Conference Companion
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
2023 J jnl
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs.
Proc. VLDB Endow.
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2023 J jnl
Optimizing Data Pipelines for Machine Learning in Feature Stores.
Proc. VLDB Endow.
Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez
2023 J jnl
Rapidash: Efficient Constraint Discovery via Rapid Verification.
CoRR
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
2023 A* conf
Schema Matching using Pre-Trained Language Models.
ICDE
Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel
2022 J jnl
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.
SIGMOD Rec.
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
2022 J jnl
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs.
CoRR
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2021 J jnl
SEIZE: Runtime Inspection for Parallel Dataflow Systems.
IEEE Trans. Parallel Distributed Syst.
Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
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
2020 A conf
Extending Relational Query Processing with ML Inference.
CIDR
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
2020 A conf
SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems.
ICDCS
Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo
2020 A* conf
Vamsa: Automated Provenance Tracking in Data Science Scripts.
KDD
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
2020 J jnl
Vamsa: Tracking Provenance in Data Science Scripts.
CoRR
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
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
2019 J jnl
Data Science through the looking glass and what we found there.
CoRR
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
2019 J jnl
Extending Relational Query Processing with ML Inference.
CoRR
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
2019 — —
Physical Plan Instrumentation in Databases: Mechanisms and Applications.
Fotis Psallidas
2018 — conf
Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications.
SIGMOD Conference
Fotis Psallidas, Eugene Wu
2018 — conf
Provenance for Interactive Visualizations.
HILDA@SIGMOD
Fotis Psallidas, Eugene Wu
2018 J jnl
Provenance for Interactive Visualizations.
CoRR
Fotis Psallidas, Eugene Wu
2018 J jnl
Smoke: Fine-grained Lineage at Interactive Speed.
CoRR
Fotis Psallidas, Eugene Wu
2018 J jnl
Smoke: Fine-grained Lineage at Interactive Speed.
Proc. VLDB Endow.
Fotis Psallidas, Eugene Wu
2017 A conf
Combining Design and Performance in a Data Visualization Management System.
CIDR
Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig
2016 J jnl
DiVA: Using Application-Specific Policies to 'Dive' into Vector Approximations.
Comput. J.
Konstantinos Tsakalozos, Spiros Evangelatos, Fotis Psallidas, Marcos R. Vieira, Vassilis J. Tsotras, Alex Delis
2015 — conf
S4: Top-k Spreadsheet-Style Search for Query Discovery.
SIGMOD Conference
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
2013 J jnl
Effective Event Identification in Social Media.
IEEE Data Eng. Bull.
Fotis Psallidas, Hila Becker, Mor Naaman, Luis Gravano
2013 — conf
Soc Web: Efficient Monitoring of Social Network Activities.
WISE (2)
Fotis Psallidas, Alexandros Ntoulas, Alex Delis