Computational Structures as Neural Symbolic Representation

Enhancing Document Understanding through the Incorporation of Structural Inference

Interpretable and Interactive Representation Learning on Geometric Data

The Applications of Alternating Minimization Algorithms on Deep Learning Models

Mining User Generated Content: Addressing Data Scarcity in Filtering Tasks

Deep Learning with Differential Privacy and Adversarial Robustness

Temporal Irregular Tensor Factorization and Prediction for Health Data Analysis

Generating Traces of Application Behavior Using Generative Adversarial Networks