Wang Can

Can Wang is a faculty member at Zhejiang University, affiliated with the College of Computer Science and Technology. He holds the title of Professor and serves as a doctoral supervisor. His research interests are not explicitly detailed in the provided information. Wang's personal homepage, hosted at https://person.zju.edu.cn/en/wangcan, provides additional details about his academic profile and activities. His profile indicates a focus on academic and research contributions within the field of computer science.

Can Wang is a Professor of Computer Science at Zhejiang University, specializing in data mining, machine learning, and artificial intelligence. His research focuses on developing advanced techniques for knowledge distillation, graph-based modeling, and recommendation systems. Wang's work explores the integration of social media data with content analysis to enhance music and document recommendations. He has also contributed to the field of graph pooling and structure learning, aiming to improve the representation and analysis of complex data. His research emphasizes scalable solutions for large-scale data processing and AI-driven analysis in domains such as power grids. Wang's publications highlight the application of deep learning and neural networks for network representation and content-based retrieval.