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Ziyu Li
Former PhD / Postdoc
Ziyu Li was a member of the Infinidata Lab, working on model selection over model zoos, graph learning, and the convergence of data integration and machine learning (Amalur).
Publications
Database as Runtime: Compiling LLMs to SQL for In-database Model Serving
Database is All You Need: Serving LLMs with Relational Queries
EDBT 2025 DOI
Amalur: The Convergence of Data Integration and Machine Learning
IEEE TKDE 2024 DOI
CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines
arXiv 2024 arXiv
LLM-PQA: LLM-enhanced Prediction Query Answering
Model Selection with Model Zoo via Graph Learning
Quantum Data Structures for Enhanced Database Performance
VLDB Workshop 2024 PDF
Amalur: Data Integration Meets Machine Learning
IEEE ICDE 2023 DOI
Macaroni: Crawling and Enriching Metadata from Public Model Zoos
Springer ICWE 2023 DOI
Metadata Representations for Queryable Repositories of Machine Learning Models
IEEE Access 2023 DOI
Optimizing ML Inference Queries Under Constraints
Springer ICWE 2023 DOI