99 citations · 329 across the 22 of their papers we have counts for
4 papers · 1 filter
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
Danrui Qi, Weiling Zheng, Jiannan Wang
Feature augmentation from one-to-many relationship tables is a critical but challenging problem in ML model development. To augment good features, data scientists need to come up w…
CleanAgent: Automating Data Standardization with LLM-based Agents
Danrui Qi, Zhengjie Miao, Jiannan Wang
Data standardization is a crucial part of the data science life cycle. While tools like Pandas offer robust functionalities, their complexity and the manual effort required for cus…
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
Danrui Qi, Jinglin Peng, Yongjun He +1
Classical machine learning models, such as linear models and tree-based models, are widely used in industry. These models are sensitive to data distribution, thus feature preproces…
Enabling SQL-based Training Data Debugging for Federated Learning
Yejia Liu, Weiyuan Wu, Lampros Flokas +2
How can we debug a logistical regression model in a federated learning setting when seeing the model behave unexpectedly (e.g., the model rejects all high-income customers' loan ap…