Luming Sun
Senior R&D Engineer
KaiwuDB @ Inspur Group
Biography
Luming Sun (孙路明) receieved his PhD degree from Renmin University of China, under the supervision of professor Cuiping Li. His area of research is artificial intelligence for systems (AI4Sys), and he is particularly interested in providing traditional database systems with practical and reliable machine learning techniques for better performance (AI4DB). He maintains a paper list (ML4DB-paper-list) about the topic for people who might be interested in.
Interests
- AI4DB & AI4System
- Query Optimization
- Time Series Forecasting
Education
Master & PhD in Computer Science, 2017-2023
Renmin University of China
BSc in Computer Science, 2013-2017
Xi'an Jiaotong University
Publications
(2024).
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation.
arXiv.
(2023).
FOSS: A Self-Learned Doctor for Query Optimizer.
ICDE 2024.
(2023).
COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations .
In AIDB 2023@VLDB.
(2023).
SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning.
In ICDE ’23 (Industry and Applications Track).
(2022).
DeepO: A Learned Query Optimizer.
In SIGMOD ’22 (Demo Track).
(2022).
MOSE: A Monotonic Selectivity Estimator Using Learned CDF (Extended abstract).
In ICDE 2022 (Poster Track).
(2021).
SCVP:Multi-stage Method for Online Vertical Data Partitioning Based on Spectral Clustering (In Chinese).
In JOS.
(2021).
MOSE: A Monotonic Selectivity Estimator Using Learned CDF.
In TKDE.
Experience
Senior R&D Engineer
Inspur Group
Research and development in database autonomous platform.
R&D Intern
ByteDance Infra System Lab
Research and development in AI for systems, especially in resource usage forecasting.
Research Intern
Alibaba Damo Academy
Research in learning-based cardinality estimation, especially in deep learning model pruning and incremental/decremental learning.
Skills
Python
Data Science & Development
Deep Learning
Pytorch
Database
Query Optimization
Contact
- sunluming@ruc.edu.cn
- Zhongguancun Street, Beijing, 014900