Juliana Freire
Institute Professor and Professor of Computer Science; Professor of Data Science; Co-Director of the VIDA Center
Develops systems for large-scale data discovery, integration, provenance and visualization, including data search and AutoML tools for urban and biomedical data.
Juliana Freire's lab at NYU works on recommendation, search & web, time series, anomaly & spatio-temporal data and medical image analysis. 30 papers since 2023, 14 at top venues, mostly VLDB and VLDB Journal. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 47%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 10 papers2026 · T1 4 · collecting
- 9 papers2025 · T1 5
- 5 papers2024 · T1 3
- 6 papers2023 · T1 2
T1 venuesOtherVenues: VLDB, VLDB Journal, SIGMOD, ICDE, ICLR
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data8 papers
- Medical image analysis2 papers
- biomedical data1 paper
- Recommendation, search & web0 papers
- large-scale data0 papers
Paper list
From DBLP.
202610 papers
- SIGMOD (T1)AutoDDG: Automated Dataset Description Generation using Large Language Models (opens in a new tab)
- SIGMOD CompanionBDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization (opens in a new tab)
- PatternsBDI-Kit: An AI-powered toolkit for biomedical data harmonization (opens in a new tab)
- SIGMOD CompanionBDIViz in Action: Interactive Curation and Benchmarking for Schema Matching Methods (opens in a new tab)
- IEEE Trans. Vis. Comput. Graph.BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation (opens in a new tab)
- Inf. Syst.HILTS: Human-LLM collaboration for effective data labeling (opens in a new tab)
- VLDB (T1)Interoperability in Healthcare: A Primer and New Frontiers (opens in a new tab)
- VLDB (T1)MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery (opens in a new tab)
- VLDB (T1)Semantic Data Systems: From Data Management to Data Understanding (opens in a new tab)
- IEEE Trans. Vis. Comput. Graph.TiVy: Time Series Visual Summary for Scalable Visualization (opens in a new tab)
20259 papers
- SIGMOD (T1)A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces (opens in a new tab)
- VLDB (T1)Bridging Disciplines in Data Management Research to Solve Complex Data Problems (opens in a new tab)
- SDP@ACLData Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature (opens in a new tab)
- COMPASSDescriptive Analysis of Online Wildlife Products Using Vision Language Models (opens in a new tab)
- VLDB Journal (T1)Editorial for Special Issue: VLDB 2022 (opens in a new tab)
- HILDA@SIGMODHierarchical Table Semantics for Exploratory Table Discovery (opens in a new tab)
- IEEE Data Eng. Bull.Large Language Models for Data Discovery and Integration: Challenges and Opportunities (opens in a new tab)
- VLDB (T1)Magneto: Combining Small and Large Language Models for Schema Matching (opens in a new tab)
- ICLR (T1)Matrix Product Sketching via Coordinated Sampling (opens in a new tab)
20245 papers
- VLDB (T1)ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models (opens in a new tab)
- SIGMOD Rec.Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report (opens in a new tab)
- ICDE (T1)Efficiently Estimating Mutual Information Between Attributes Across Tables (opens in a new tab)
- VLDB (T1)Sampling Methods for Inner Product Sketching (opens in a new tab)
- SOSASimple Analysis of Priority Sampling (opens in a new tab)
20236 papers
- AutoMLAlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks (opens in a new tab)
- VLDB Journal (T1)BugDoc (opens in a new tab)
- VLDB Journal (T1)Correction to: BugDoc Iterative debugging and explanation of pipeline executions (opens in a new tab)
- SIGMOD Rec.Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report (opens in a new tab)
- DEEM@SIGMODUsing Pipeline Performance Prediction to Accelerate AutoML Systems (opens in a new tab)
- PODSWeighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
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