Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management

Learning Structured Knowledge from Real-World Data without Excessive Annotations

Cell type identification in single-cell genomics and its applications

Large scale neuronal type classification using graph neural networks

Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis

Interpretable and Interactive Representation Learning on Geometric Data

The Applications of Alternating Minimization Algorithms on Deep Learning Models

Understanding spatial-temporal trends using communication-efficient federated tensor factorization for incomplete data

Unsupervised, Context-Aware Emotion Classification of College-Related Reddit Posts