Yizhou Sun

Yizhou Sun is a Professor in the Department of Computer Science at the University of California, Los Angeles. His research interests include data mining, database systems, information retrieval, machine learning, and network science. He is affiliated with the UCLA Samueli School of Engineering. Sun's work has been recognized with several awards, including the Data Mining Test of Time Award in 2024, the SDM / IBM Early Career Data Mining Research Award in 2023, and the IEEE Intelligent Systems Top 10 Rising Stars in 2023. He also received the VLDB Test of Time Award in 2022 and the Amazon Research Award in 2020. His contact information is available at yzsun@cs.ucla.edu, and his profile page can be accessed at https://samueli.ucla.edu/people/yizhou-sun/.

Yizhou Sun is a professor in the Department of Computer Science at UCLA, specializing in Information Networks, Knowledge Graphs, Graph Neural Networks, AI for Science, and AI for Chip Design. His research focuses on developing advanced methods for analyzing and leveraging heterogeneous information networks, including techniques for similarity search, entity recommendation, and network representation learning. He has contributed significantly to the field through works such as Heterogeneous Graph Transformer and SimGNN, which address challenges in graph-based machine learning. His publications also explore applications of AI in scientific domains and chip design, emphasizing the integration of deep learning with network analysis.