Yin Zhang is an associate professor in the College of Computer Science and Technology at Zhejiang University, Hangzhou, China. He graduated with his Bachelor's degree from Zhejiang University in Electrical Engineering in 2002, and received his PhD in computer science from Zhejiang University in 2009. His research interests lie in collaborative filtering, statistical learning, crowd-powered systems and their applications in digital libraries. He has been involved with “Chinese Academic Digital Associative Library (CADAL)” since 2004, responsible for million book search, recommendation and social annotation services. Currently, he focuses on applying emerging theories and methods of big data analysis to analyzing 2.6 million digital contents and billions user clicking behaviors in CADAL, and designing crowd-powered systems to encourage each person with spare time and specific expertise to contribute to CADAL project.
2003.9-2009.12, Ph.D. in Computer Science, Zhejiang University.
Thesis: Research on personalization techniques with their applications to digital library (Advisor: Yueting Zhuang, )
1998.9-2002.6, B.S. in Electrical Engineering, Zhejiang University.
2015.1-Present, Associate Professor, College of Computer Science and Technology, Zhejiang University.
2013.9-2014.9, Visiting Researcher, Computer Science Department, University of California, Santa Barbara.
2012.7-2014.12, Research Assistant Professor,
College of Computer Science and Technology, Zhejiang University.
2010.2-2012.6, Postdoctoral Researcher,
College of Computer Science and Technology, Zhejiang University.
Journal: IEEE Intelligent Systems, Information Retrieval
Conference: Asia Information Retrieval Societies Conference (AIRS) 2011, 2013
         Engineering Research Center of Digital Library, Ministry of Education, China.
         China Computer Federation
        Programming Language: Java, Python, C, Matlab
         Language: Chinese Mandarin (Native), English
         Designing, coding and running the website for the CADAL digital library, containing 2.6 million digital books and more than 270,000 registration users from 70+ universities across China. ( )


Research work

Collaborative Filtering, Crowd-Powered Systems, Digital Library, Machine Learning