Precision Interfaces for Different Modalities
Summary: Precision Interfaces auto-generates data UIs from SQL logs by mining micro-variations into UI components via interaction graph. PILang, a DSL, bounds changes and selects a component set for 2D, gestural, and natural-language interfaces. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haoci Zhang (Columbia University)
- 2. Viraj Rai (Columbia University)
- 3. Thibault Sellam (Columbia University)
- 4. Eugene Wu (Columbia University)
BibTeX Citation
@inproceedings{zhang_sigmod18,
title = {{Precision Interfaces for Different Modalities}},
author = {Zhang, Haoci and Rai, Viraj and Sellam, Thibault and Wu, Eugene},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3193570},
url = {https://dl.acm.org/doi/10.1145/3183713.3193570},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,904 | Mining Precision Interfaces From Query Logs | 2019 | SIGMOD | 6.4503063e-05 |
| 7,921 | Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces | 2020 | SIGMOD | 5.5181056e-05 |
| 11,840 | CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation | 2019 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 555 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00016568053 |
| 2,160 | Automated Creation of a Forms-based Database Query Interface | 2008 | VLDB | 9.0607273e-05 |
| 3,381 | Ava: From Data to Insights Through Conversation | 2017 | CIDR | 7.4571963e-05 |
| 4,904 | Mining Precision Interfaces From Query Logs | 2019 | SIGMOD | 6.4503063e-05 |
| 6,892 | SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification | 2015 | VLDB | 5.7447134e-05 |
| 7,848 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB | 5.5327238e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,450 | Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook | 2022 | SIGMOD |
| 2 | 7,977 | Interactive Query Explanations Using Fine Grained Provenance | 2022 | SIGMOD |
| 3 | 3,497 | Interactive Analysis of Web-Scale Data | 2009 | CIDR |
| 4 | 6,048 | Visual Interfaces to Data | 2010 | SIGMOD |
| 5 | 4,602 | Provenance for Natural Language Queries | 2017 | VLDB |
| 6 | 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB |
| 7 | 1,866 | Predictive Interaction for Data Transformation | 2015 | CIDR |
| 8 | 7,921 | Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces | 2020 | SIGMOD |
| 9 | 5,919 | PI2: End-to-end Interactive Visualization Interface Generation from Queries | 2022 | SIGMOD |
| 10 | 4,904 | Mining Precision Interfaces From Query Logs | 2019 | SIGMOD |