Wang Can

Wang Can is a Professor and Doctoral Supervisor at Zhejiang University's School of Computer Science and Technology, with research focusing on artificial intelligence, data mining, and large-scale graph intelligence algorithms. His work bridges theoretical innovation and practical applications in critical domains.

His research interests span Artificial Intelligence, Data Mining, Machine Learning, and Large-Scale Graph Intelligence Algorithms, with significant contributions to intelligent barrier-free technology, financial risk systems, and big data analytics. His methodologies emphasize scalable algorithm design for real-world industrial applications.

Notable scientific awards include:

• Best Paper Award at AAAI 2012 (landmark achievement for Chinese scholars)
• Best Paper Award at WSDM 2025
• Triple First Prizes in Zhejiang Science and Technology Awards (2011, 2018, 2019)
• National and Provincial Teaching Achievement Awards (2014)

As an educator, he led Zhejiang University's ACM International Collegiate Programming Contest team to World Finals victories in 2009 (Stockholm silver) and 2011 (Orlando gold), establishing 21 consecutive years of World Finals qualifications through 2024. He served as Zhejiang Provincial Special Representative for the China Computer Federation (2021-2022), organizing algorithm competitions nationwide.

His research leadership includes over 20 projects: National Natural Science Foundation general/joint projects, Zhejiang Provincial Key Projects, National Science and Technology Support Program sub-projects, and international corporate collaborations. He holds more than 20 authorized invention patents.