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Wenbo Sun
PhD Candidate
Wenbo Sun is a PhD candidate working on in-database machine learning and on serving large language models with relational queries (TranSQL, Database-as-Runtime).
Publications
Accelerating machine learning queries with linear algebra query processing
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
Ilargi: A GPU Compatible Factorized ML Model Training Framework
TranSQL +: Serving Large Language Models with SQL on Low-Resource Hardware
ACM SIGMOD 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
Cross-Source ML Model Training
IEEE ICDE 2024 DOI
Amalur: Data Integration Meets Machine Learning
IEEE ICDE 2023 DOI
Optimizing ML Inference Queries Under Constraints
Springer ICWE 2023 DOI