1 citations · 1 across the 7 of their papers we have counts for
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Efficient Query Rewrite Rule Discovery via Standardized Enumeration and Learning-to-Rank(extend)
Yuan Zhang, Yuxing Chen, Yuekun Yu +5
Query rewriting is essential for database performance optimization, but existing automated rule enumeration methods suffer from exponential search spaces, severe redundancy, and po…
ShapleyPipe: Hierarchical Shapley Search for Data Preparation Pipeline Construction
Jing Chang, Chang Liu, Jinbin Huang +3
Automated data preparation pipeline construction is critical for machine learning success, yet existing methods suffer from two fundamental limitations: they treat pipeline constru…
SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation
Jing Chang, Chang Liu, Jinbin Huang +3
Data preparation is a foundational yet notoriously challenging component of the machine learning lifecycle, characterized by a vast combinatorial search space. While reinforcement…
LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
Jing Chang, Chang Liu, Jinbin Huang +2
Automated data preparation is crucial for democratizing machine learning, yet existing reinforcement learning (RL) based approaches suffer from inefficient exploration in the vast…