Understanding and Incentivizing Behavior in Emerging Decentralized Ecosystems

Vulnerability Detection: A Machine Learning Approach to Identifying Security Vulnerabilities In Code

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

Attention-enhanced Deep Learning Models for Data Cleaning and Integration

The Applications of Alternating Minimization Algorithms on Deep Learning Models

A Comparison Study on Low Rank Matrix Completion Algorithms in Image and Painting Restoration

Crowdsourcing and Semi Supervised Learning for Detection and Prediction of Hospital Acquired Pressure Ulcer Injury

Federated Tensor Factorization for Collaborative Health Data Analytics