Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian TangICML 2022 Paper / Code
I am a final-year Ph.D. candidate at Mila - Quebec AI Institute, University of Montreal, advised by Prof. Jian Tang. Prior to that, I obtained my B.S. in Computer Science from Peking University.
My research focuses on machine learning and its applications on large-scale data, with an emphasis on structured and relational data like knowledge graphs and biomedical networks. I work on graph representation learning, machine learning systems and drug discovery. Besides, I also have a deep interest in computer vision and natural language processing, particularly in understanding how human and AI process information. See my CV for full details.
I believe that principles are more essential than solutions, and should come first in most cases. I also have a great fondness for elegant and efficient designs. These values motivated most of my works.
In my spare time, I enjoy photography a lot. Together with hiking, these hobbies drive me to explore the beauty of the land, as well as learn about myself and life.
Click the images to zoom in and browse more.