Yuhang Liu

Scientific Paper Recommendation Using Author's Dual Role Citation Relationship

2020 · IFIP International Conference on Intelligent Information Processing

Vector representations learning (also known as embeddings) for users (items) are at the core of modern recommendation systems. Existing works usually map users and items to low-dimensional space to predict user preferences for items and …

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning

2022 · arXiv (Cornell University)

Continual Learning (CL) methods aim to enable machine learning models to learn new tasks without catastrophic forgetting of those that have been previously mastered. Existing CL approaches often keep a buffer of previously-seen samples, perform …

A universal adversarial perturbations generation method based on feature aggregation

2024

Universal Adversarial Perturbations (UAP) is a sample-independent adversarial attack that can be added to all natural samples to change most of their predictive labels. Aiming at the problems of the existing universal adversarial attack methods …