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Shuhuan Fan
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2020 – today
- 2024
- [c10]Shuhuan Fan
, Mengshu Hou
Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation. CIKM 2024: 581-590 - [c9]Yueyang Zhan
KnobTune: A Dynamic Database Configuration Tuning Strategy Leveraging Historical Workload Similarities. CMLDS 2024: 9:1-9:8 - [c8]Xue Chen
Judicial Text Relation Extraction Based on Prompt Tuning. CVIPPR 2024: 44 - [c7]Zhuohan Hou
A Memory Optimization Method for High Cardinality Based on InfluxDB. ICBDT 2024: 51-57 - [c6]Wenlong Dong, Wei Liu, Rui Xi, Mengshu Hou, Shuhuan Fan:
MLETune: Streamlining Database Knob Tuning via Multi-LLMs Experts Guided Deep Reinforcement Learning. ICPADS 2024: 226-235 - 2023
- [c5]Yuanfeng Song
A New Cardinality Estimation Method Based on Graph Neural Networks. FAIML 2023: 153-159 - [c4]Daobing Zhu, Shu Huan Fan, Xiaoyang Zeng, Rui Xi, Mengshu Hou:
Graph-Attention-Network-Based Cost Estimation Model in Materialized View Environment. ICPADS 2023: 1388-1396 - 2022
- [c3]Yuanfeng Song, Shu Huan Fan, Jiaxin Xu, Jianming Liao:
A Novel Hot-cold Data Identification Mechanism Based on Multidimensional Data. DSIT 2022: 1-5 - 2021
- [c2]Daobing Zhu, Dongsheng He
GACE: Graph-Attention-Network-Based Cardinality Estimator. DEXA (2) 2021: 332-345 - [c1]Charles Roland Haruna, Jian Yang, Mengshu Hou, Lei Gou, Shu Huan Fan, Barbie Eghan-Yartel:
Incorporating Knowledge Bases and Databases to an Effective Repair of Data Errors. ICCDA 2021: 36-45
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