Sen Wang

Safety Verification of Deep Neural Networks

2016 · arXiv (Cornell University)

Deep neural networks have achieved impressive experimental results in image classification, but can surprisingly be unstable with respect to adversarial perturbations, that is, minimal changes to the input image that cause the network to misclassify …

NeuRec: On Nonlinear Transformation for Personalized Ranking

2018

Modeling user-item interaction patterns is an important task for personalized recommendations. Many recommender systems are based on the assumption that there exists a linear relationship between users and items while neglecting the intricacy and non-linearity …

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning

2022 · IEEE Transactions on Multimedia

Generalized Zero-Shot Learning (GZSL) aims to recognize images not only for seen classes but also for unseen ones by transferring semantic-visual relationships from the seen to the unseen classes. It is an intuitive solution to …

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities

2023 · World Scientific Annual Review of Artificial Intelligence

Evidence-based Medicine (EBM) is facing a new challenge in applying Artificial Intelligence (AI) for better services. Here the fundamental question is: can AI be used as a human intelligence amplifier to make better evidence-based medical …

Learning Graph-based POI Embedding for Location-based Recommendation

2016

With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-based social networks (LBSNs), location-based recommendation has become an important means to help people discover attractive and interesting points of interest (POIs). …