Dr. Songjie Niu

Postdoc

Tsinghua University

I am a postdoc at Department of Computer Science, Tsinghua University. My research interests are in graph data processing, artificial intelligence, and data management systems. I received my Ph.D. in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS), University of Chinese Academy of Sciences (UCAS) , and my B.E. from Beijing Institute of Technology.

 

During my Ph.D., I conduct in-depth research on performance modeling and optimization of large-scale distributed in-memory graph computation. My work includes performance analysis and modeling of graph computation, optimization of complex representative graph algorithms like second-order random walk, and graph computation optimizations combining storage hardware such as CPU caches and NVM persistence. I developed a lightweight general-purpose distributed in-memory graph computation platform named GraphLite, which is open-sourced on GitHub and has been used by over 1,000 users.

 

During my postdoctoral period, I have been engaged in research on the integration of graph data processing and large language models. I am currently working on the AI4EDU project at Tsinghua University. In the AI4EDU project, I investigate to develop innovative educational technologies that leverage artificial intelligence for personalized learning experiences. Knowledge graphs can provide a structured knowledge foundation for large language models. By integrating knowledge graphs with large language models, I aim to create systems that can better understand and respond to student needs, providing more accurate and context-aware educational content.