265 citations · 1.9k across the 79 of their papers we have counts for
4 papers · 1 filter
Learning A Task-Specific Deep Architecture For Clustering
Zhangyang Wang, Shiyu Chang, Jiayu Zhou +2
While sparse coding-based clustering methods have shown to be successful, their bottlenecks in both efficiency and scalability limit the practical usage. In recent years, deep lear…
Self-Tuned Deep Super Resolution
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang +4
Deep learning has been successfully applied to image super resolution (SR). In this paper, we propose a deep joint super resolution (DJSR) model to exploit both external and self s…
Decentralized Recommender Systems
Zhangyang Wang, Xianming Liu, Shiyu Chang +3
This paper proposes a decentralized recommender system by formulating the popular collaborative filleting (CF) model into a decentralized matrix completion form over a set of users…
Learning Super-Resolution Jointly from External and Internal Examples
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang +3
Single image super-resolution (SR) aims to estimate a high-resolution (HR) image from a lowresolution (LR) input. Image priors are commonly learned to regularize the otherwise seri…