Fotis Psallidas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CIDR | NL2SQL is a solved problem... Not! | 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 |
| 2023 | ICDE | Schema Matching using Pre-Trained Language Models. | Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Mller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel |
| 2023 | SIGMOD | Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. | Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu |
| 2020 | CIDR | 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, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | CIDR | Extending Relational Query Processing with ML Inference. | 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 | ICDCS | SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems. | Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo |
| 2020 | KDD | Vamsa: Automated Provenance Tracking in Data Science Scripts. | Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer |
| 2018 | SIGMOD | Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications. | Fotis Psallidas, Eugene Wu |
| 2018 | SIGMOD | Provenance for Interactive Visualizations. | Fotis Psallidas, Eugene Wu |
| 2017 | CIDR | Combining Design and Performance in a Data Visualization Management System. | Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig |
| 2015 | SIGMOD | S4: Top-k Spreadsheet-Style Search for Query Discovery. | Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri |
| 2013 | WISE | Soc Web: Efficient Monitoring of Social Network Activities. | Fotis Psallidas, Alexandros Ntoulas, Alex Delis |