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Ziyu Guan, Professor

School of Computer Science and Technology

Contact Information

Address: 2 South Taibai Road, Xi\'an, Shannxi, China

Email: zyguan@xidian.edu.cn

Biography

Ziyu Guan is currently a full professor in Xidian University. His research work is focused on social media computing, with an emphasis on developing novel machine learning and data mining techniques for exploiting the wisdom of crowd in social media, to solve application problems such as recommendation, retrieval, etc. He has published over 70 high quality journal/conference papers, out of which 41 papers were published in leading journals/conferences, such as IEEE TKDE, IEEE TIP, VLDB, SIGMOD, SIGIR, ICDE, CVPR, WWW, AAAI, IJCAI and SIGKDD. According to Google Scholar, his research work has been cited over 1600 times (h-index 21). In 2015, he acquired support from the National Excellent Youth Science Foundation (China). He is an associated editor for Neurocomputing and the International Journal of Machine Learning and Cybernetics. He has served or is serving as (senior) program committees members of related leading international conferences, e.g., SIGKDD, AAAI, IJCAI, NeurIPS, ICML, ICLR, SIGIR.

 

Full CV available at: CV

Working & Education Experience

2017 - present, Xidian University
                         Professor, School of Computer Science and Technology

2014 - 2017, Northwest University of China
                         Professor, College of Information Science and Technology

2012 - 2013, Northwest University of China
                         Researcher, College of Information Science and Technology

2010 - 2012, University of California at Santa Barbara
                         Assistant project scientist, Department of Computer Science
                         Advisor: Prof. Xifeng Yan

2004 - 2010, Zhejiang University
                         PhD in Computer Science and Technology
                         Advisor: Prof. Chun Chen

2000 - 2004, Zhejiang University
                         BS in Computer Science and Technology