1.6k citations · 7.3k across the 231 of their papers we have counts for
8 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…
Learning Deep Encoders
Zhangyang Wang, Qing Ling, Thomas S. Huang
Despite its nonconvex nature, sparse approximation is desirable in many theoretical and application cases. We study the sparse approximation problem with the tool…
DeepFont: Identify Your Font from An Image
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers. We study t…
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…
Real-World Font Recognition Using Deep Network and Domain Adaptation
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
We address a challenging fine-grain classification problem: recognizing a font style from an image of text. In this task, it is very easy to generate lots of rendered font examples…
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…