GACE: Graph-Attention-Network-Based Cardinality Estimator. - Daobing Zhu; Dongsheng He; Shu Huan Fan; Jianming Liao; Mengshu Hou (DEXA (2), 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 (ICCDA, 2021)

A Novel Hot-cold Data Identification Mechanism Based on Multidimensional Data. - Yuanfeng Song; Shu Huan Fan; Jiaxin Xu; Jianming Liao (DSIT, 2022)

A New Cardinality Estimation Method Based on Graph Neural Networks. - Yuanfeng Song; Xiao-Dong Li; Danni Zhang; Shu Huan Fan; Dongsheng He (FAIML, 2023)

Graph-Attention-Network-Based Cost Estimation Model in Materialized View Environment. - Daobing Zhu; Shu Huan Fan; Xiaoyang Zeng; Rui Xi; Mengshu Hou (ICPADS, 2023)

Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation. - Shuhuan Fan; Mengshu Hou; Rui Xi; Wenwen Ma (CIKM, 2024)

KnobTune: A Dynamic Database Configuration Tuning Strategy Leveraging Historical Workload Similarities. - Yueyang Zhan; Rui Xi; Jianming Liao; Shuhuan Fan; Mengshu Hou (CMLDS, 2024)

Judicial Text Relation Extraction Based on Prompt Tuning. - Xue Chen; Yi Li; Shuhuan Fan; Mengshu Hou (CVIPPR, 2024)

A Memory Optimization Method for High Cardinality Based on InfluxDB. - Zhuohan Hou; Qizhi Huang; Yuanfeng Song; Shuhuan Fan; Xiaowen Nie (ICBDT, 2024)

MLETune: Streamlining Database Knob Tuning via Multi-LLMs Experts Guided Deep Reinforcement Learning. - Wenlong Dong; Wei Liu; Rui Xi; Mengshu Hou; Shuhuan Fan (ICPADS, 2024)

Faper: Join Tree with Uncertainty Awareness for Faster, More Precise and Robust Cardinality Estimation. - Zihan Yan; Junxin Zhu; Jincan Xiong; Rui Xi; Shuhuan Fan; Mengshu Hou (PAKDD (1), 2025)