Yuede Ji

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 the 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 has won the best paper award at NPC 2014.

Yuede Ji received the Ph.D. degree from the 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.

Openings

I am looking for multiple self-motivated Ph.D. students (fully funded) to work with our Graph Lab on various cool projects in cybersecurity, high-performance computing, and graph analytics. If you are interested, please drop me an email with your CV.

News

[Nov. 2022] : Invited to serve as PC for HPDC 2023.

[Nov. 2022] : Welcome Qianjun Wei to join our group as a visiting Ph.D. student.

[Oct. 2022] : Congrats to Wang for being selected as a volunteer for SC 2022!

[Sep. 2022] : Our project on using TVM for sparse deep neural network is accepted as a poster for SC 2022. Congrats to Lillian and Avik!

[Aug. 2022] : Invited to serve as reviewer for the inaugural Learning on Graphs Conference (LoG) 2022.

[May 2022] : The extended version of iSpan on GPU is accepted to ACM TOPC.

[Feb. 2022] : Our paper on explaining GNN-based code analysis, Illuminati, is accepted to EuroS&P’22.

[Jan. 2022] : Welcome Wang Feng to join our group as Ph.D. students.

[Jan. 2022] : Our Nested Graph Neural Network (NestedGNN) paper is accepted to IEEE ICC’22.

[Oct. 2021] : My algorithm class (CSCE-5150) received Google Cloud Education Credits. Thanks Google!

[Sep. 2021] : Our lab received Google Cloud Research Credits Award. Thanks Google!

[Aug. 2021] : I started working as an assistant professor at the University of North Texas.

[June 2021] : Our paper on analyzing exposed Android Init routines, DEFInit, is accepted to USENIX Security’21.

[Mar. 2021] : Our paper on identifying the compilation provenance of binary code, Vestige, is accepted to ACNS’21.

[Feb. 2021] : Our paper on detecting unknown advanced persistent threat (APT) is accepted to Computer Networks.

[Oct. 2020] : Our paper on binary code vulnerability analysis with graph neural network, BugGraph, is accepted to AsiaCCS’21.

[Oct. 2020] : Our paper on large scale small graphs computation with GPUs, SwarmGraph, is accepted to HPCC’20.

[June 2020] : I started working as a senior intern at Kryptowire (a company that specializes in Mobile Security and Code Analysis) mentored by Dr. Mohamed Elsabagh.

[May 2020] : Our paper on lateral movement detection with unsupervised graph learning is accepted to RAID’20.

[Mar. 2020] : Our paper on graph connectivity computation framework, Aquila, is accepted to HPDC’20.

[June 2018] : Our paper on strongly connected component detection, iSpan, is accepted to SC’18.