2 citations · 3 across the 5 of their papers we have counts for
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cs.DB2026
CACTUSDB: Unlock Co-Optimization Opportunities for SQL and AI/ML Inferences
Lixi Zhou, Kanchan Chowdhury, Lulu Xie +5
There is a growing demand for supporting inference queries that combine Structured Query Language (SQL) and Artificial Intelligence / Machine Learning (AI/ML) model inferences in d…
cs.DB2024
Declarative Privacy-Preserving Inference Queries
Hong Guan, Ansh Tiwari, Summer Gautier +8
Detecting inference queries running over personal attributes and protecting such queries from leaking individual information requires tremendous effort from practitioners. To tackl…
cs.DB2023★ 2 cited
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Ankita Sharma, Xuanmao Li, Hong Guan +9
Existing approaches to automatic data transformation are insufficient to meet the requirements in many real-world scenarios, such as the building sector. First, there is no conveni…