activity
20092026
most citedLinkedCT: A Linked Data Space for Clinical Trials

61 citations · 72 across the 20 of their papers we have counts for

collaborators

21 papers

cs.DB2026

Semantic Views: Certified Reuse of LLM Labels Across Semantic Queries

Oktie Hassanzadeh, Dharmashankar Subramanian

Semantic query engines evaluate natural-language filters with a large language model, and every evaluation is a costly oracle call. Optimizers that reduce these calls face a dilemm…

cs.AI2026

SAGE: A Unified Algebra and Self-Adaptive Execution for AI Functions in SQL

Xiangqi Wang, Nhan H. Pham, Oktie Hassanzadeh +2

SQL systems increasingly expose AI functions for tasks such as classification, extraction, filtering, ranking, retrieval, joining, and summarization. Despite their diverse APIs, th…

cs.LG2026

Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks

Liane Vogel, Kavitha Srinivas, Niharika D'Souza +3

Tabular foundation models aim to learn universal representations of tabular data that transfer across tasks and domains, enabling applications such as table retrieval, semantic sea…

cs.DB2025

Evaluating Joinable Column Discovery Approaches for Context-Aware Search

Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati +4

Joinable Column Discovery is a critical challenge in automating enterprise data analysis. While existing approaches focus on syntactic overlap and semantic similarity, there remain…

cs.DB2025

TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search

Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati +4

One of the major challenges in enterprise data analysis is the task of finding joinable tables that are conceptually related and provide meaningful insights. Traditionally, joinabl…

cs.CL2025

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL

Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh +4

Text-to-SQL aims to translate natural language queries into SQL statements, which is practical as it enables anyone to easily retrieve the desired information from databases. Recen…