Yuede Ji

Dr. 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 the George Washington University in 2021. He received M.S. and B.E. from Jilin University in 2015 and 2012, respectively. Yuede Ji’s curriculum vitae can be found here.


Dr. Ji is looking for fully funded self-motivated Ph.D. students to work on various cool projects in cybersecurity, high-performance computing, and graph AI. If you are interested, please drop me an email with your CV. According to CS ranking, UNT is ranked 46th among all the US universities in the area of high-performance computing (HPC) (as of Nov. 2023).


[Sep. 2023] : Welcome Dr. Xing Gao from University of Delaware to give us a talk and visit our lab!

[Sep. 2023] : Our paper on graph-based binary code similarity detection, HermesSim, is accepted to USENIX Security '24. Congrats to Haojie and other collaborators!

[Aug. 2023] : Our proposal on Efficient Graph Neural Network is funded by NSF SHF (total: $600k, my role: lead PI). Thanks NSF!

[Aug. 2023] : Our challenge paper on understanding nationwide power outage and restoration is accepted to the SMC Data Challenge '23. Congrats to Yasmeen, Isabelle, and our collaborators! We won the Best Poster Award!

[Aug. 2023] : Our challenge paper on visualizing HPC power and thermal dynamics is accepted to the SMC Data Challenge '23. Congrats to Joe and our collaborators!

[Aug. 2023] : Dr. Ji is invited to serve as an Associate Editor of IEEE Open Journal of the Communications Society (OJ-COMS).

[Aug. 2023] : Welcome Haiyan Sun to join our lab as a Ph.D. student.

[Jul. 2023] : Our proposal on Container Security in HPC is funded by NSF CICI program (total: $600k, my role: PI). Thanks NSF!

[Jun. 2023] : Dr. Ji started working as a summer visiting faculty at the Oak Ridge National Laboratory supported by DOE VFP program! Thanks DOE! Tennessee is astonishingly beautiful!

[Jun. 2023] : Our lab’s Ph.D. student Wang Feng’s first paper is accepted to SC '23! Congrats to Wang and our collaborators! Congrats to Wang for winning IEEE TCHPC Travel Award ($1,325)!

[Jun. 2023] : Our Tango paper is accepted to SC '23! Congrats to Shiyang and our collaborators!

[May. 2023] : Congrats to Lillian and Avik (TAMS students) for starting their undergraduate studies at MIT and UT Austin, respectively! Best wishes!

[Apr. 2023] : Our paper on malware detection with graph AI technique is accepted to ISSTA '23. Congrats to Jiancong and our collaborators!

[Feb. 2023] : Dr. Ji is invited to serve as PC for HPDC '23, Information Security Conference (ISC '23), Doctoral Showcase Poster at SC '23, Learning on Graphs Conference (LoG) '23, and Machine Learning with Graphs in HPC Environments (MLG-HPCE) '23.

Before 2023