Shuhuan Fan

According to our database, Shuhuan Fan authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MLETune: Streamlining Database Knob Tuning via Multi-LLMs Experts Guided Deep Reinforcement Learning.

Wenlong Dong, Wei Liu, Rui Xi, Mengshu Hou, Shuhuan Fan

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

A Memory Optimization Method for High Cardinality Based on InfluxDB.

Zhuohan Hou, Qizhi Huang, Yuanfeng Song, Shuhuan Fan, Xiaowen Nie

Proceedings of the 7th International Conference on Big Data Technologies, 2024

Judicial Text Relation Extraction Based on Prompt Tuning.

Xue Chen, Yi Li, Shuhuan Fan, Mengshu Hou

Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

KnobTune: A Dynamic Database Configuration Tuning Strategy Leveraging Historical Workload Similarities.

Yueyang Zhan, Rui Xi, Jianming Liao, Shuhuan Fan, Mengshu Hou

Proceedings of the International Conference on Computing, 2024

Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation.

Shuhuan Fan, Mengshu Hou, Rui Xi, Wenwen Ma

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Graph-Attention-Network-Based Cost Estimation Model in Materialized View Environment.

Daobing Zhu, Shu Huan Fan, Xiaoyang Zeng, Rui Xi, Mengshu Hou

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

A New Cardinality Estimation Method Based on Graph Neural Networks.

Yuanfeng Song, Xiao-Dong Li, Danni Zhang, Shu Huan Fan, Dongsheng He

Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

2022

A Novel Hot-cold Data Identification Mechanism Based on Multidimensional Data.

Yuanfeng Song, Shu Huan Fan, Jiaxin Xu, Jianming Liao

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021

Incorporating Knowledge Bases and Databases to an Effective Repair of Data Errors.

Charles Roland Haruna, Jian Yang, Mengshu Hou, Lei Gou, Shu Huan Fan, Barbie Eghan-Yartel

Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021

GACE: Graph-Attention-Network-Based Cardinality Estimator.

Daobing Zhu, Dongsheng He, Shu Huan Fan, Jianming Liao, Mengshu Hou

Proceedings of the Database and Expert Systems Applications, 2021