4 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Data-Efficient Symbolic Regression via Foundation Model Distillation
Wangyang Ying, Jinghan Zhang, Haoyue Bai +5
Discovering interpretable mathematical equations from observed data (a.k.a. equation discovery or symbolic regression) is a cornerstone of scientific discovery, enabling transparen…
Distribution Shift Aware Neural Tabular Learning
Wangyang Ying, Nanxu Gong, Dongjie Wang +5
Tabular learning transforms raw features into optimized spaces for downstream tasks, but its effectiveness deteriorates under distribution shifts between training and testing data.…
Evolutionary Large Language Model for Automated Feature Transformation
Nanxu Gong, Chandan K. Reddy, Wangyang Ying +2
Feature transformation aims to reconstruct the feature space of raw features to enhance the performance of downstream models. However, the exponential growth in the combinations of…
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
Chang Lu, Chandan K. Reddy, Ping Wang +1
Automatic coding of International Classification of Diseases (ICD) is a multi-label text categorization task that involves extracting disease or procedure codes from clinical notes…