15 citations · 39 across the 11 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.IR2020★ 5 cited
GAN-based Recommendation with Positive-Unlabeled Sampling
Yao Zhou, Jianpeng Xu, Jun Wu +4
Recommender systems are popular tools for information retrieval tasks on a large variety of web applications and personalized products. In this work, we propose a Generative Advers…
cs.LG2020★ 2 cited
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
Yao Zhou, Jun Wu, Haixun Wang +1
Federated learning learns a neural network model by aggregating the knowledge from a group of distributed clients under the privacy-preserving constraint. In this work, we show tha…
cs.LG2020★ 6 cited
Continuous Transfer Learning with Label-informed Distribution Alignment
Jun Wu, Jingrui He
Transfer learning has been successfully applied across many high-impact applications. However, most existing work focuses on the static transfer learning setting, and very little i…