Yuede Ji

Assistant Professor, University of North Texas

Yuede Ji is an Assistant Professor from the Department of Computer Science and Engineering at the University of North Texas. He directs the Graph Lab, which focuses on graph-centric security, learning, and computing.

The Graph Lab at UNT aims to build efficient systems to protect emerging data and computing devices from various layers, such as vulnerability detection, malware detection, and network threat detection. Furthermore, they aim to build high-performance computing systems with emerging hardware (e.g., GPU) to improve the scalability of cybersecurity techniques. The Graph Lab’s research works have frequently appeared at prestigious cybersecurity and high-performance computing conferences, including USENIX Security, SC, HPDC, EuroS&P, RAID, and AsiaCCS. His research won the best paper award at NPC 2014.

Yuede Ji received a Ph.D. degree from George Washington University in 2021. He received M.S. and B.E. from Jilin University in 2015 and 2012, respectively. He also worked as a senior intern at Kryptowire (a company that specializes in Mobile Security and Code Analysis) for seven months.


  • Cybersecurity
  • Software Security
  • Graph
  • Graph AI
  • High-Performance Computing