Lixin Duan

Learning User Dependencies for Recommendation

2017

Social recommender systems exploit users' social relationships to improve recommendation accuracy. Intuitively, a user tends to trust different people regarding with different scenarios. Therefore, one main challenge of social recommendation is to exploit the most …

Domain Adversarial Reinforcement Learning for Partial Domain Adaptation

2019 · arXiv (Cornell University)

Partial domain adaptation aims to transfer knowledge from a label-rich source domain to a label-scarce target domain which relaxes the fully shared label space assumption across different domains. In this more general and practical scenario, …

Region Comparison Network for Interpretable Few-shot Image Classification

2020 · arXiv (Cornell University)

While deep learning has been successfully applied to many real-world computer vision tasks, training robust classifiers usually requires a large amount of well-labeled data. However, the annotation is often expensive and time-consuming. Few-shot image classification …