All people
Wenbo Sun
Lecturer @ The University of Hong Kong
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
QEC lake: Data Lake for AI-enhanced Quantum Error Correction
PVLDB 2026
TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware
ACM SIGMOD 2026 DOI
Accelerating machine learning queries with linear algebra query processing
Springer DAPD 2025 DOI
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
Springer WISE 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