Cai Deng

Cai Deng is a full professor in the College of Computer Science at Zhejiang University, China. He received his PhD degree from the University of Illinois at Urbana-Champaign. His research interests include machine learning, computer vision, data mining, and information retrieval. His work is accessible through his profile page, which includes links to publications, codes, and data. His website is http://www.cad.zju.edu.cn/home/dengcai/.

Deng Cai is a Professor of Computer Science at Zhejiang University, specializing in Machine learning, Computer vision, Data mining, and Information retrieval. His research focuses on developing advanced techniques for data representation, feature selection, and pattern recognition. Key contributions include Laplacian score for feature selection, Graph regularized nonnegative matrix factorization, and Neighborhood preserving embedding. He has also explored semi-supervised learning, document clustering, and image representation through methods like locality preserving indexing and constrained nonnegative matrix factorization. His work emphasizes the integration of visual, textual, and link information for improved data analysis and retrieval.