Dr. Yuede Ji
University of North Texas
Computer Science and Engineering
Email:

Education

PhD, George Washington University, 2021.
Major: Computer Engineering
Degree Specialization: Cybersecurity and High-Performance Computing
Dissertation Title: High-Performance Graph Computing and Application in Cybersecurity
MS, Jilin University, 2015.
Major: Computer Science
Degree Specialization: Cybersecurity
Dissertation Title: Host-Based Botnet Detection
BE, Jilin University, 2012.
Major: Software Engineering
Degree Specialization: Software Engineering
Dissertation Title: Research of Host-based Bot Detection

Professional Memberships

Association for Computing Machinery. (September 28, 2021 – Present).

Institute of Electrical and Electronics Engineers. (September 28, 2021 – Present).

The Advanced Computing Systems Association. (July 21, 2021 – Present).

Teaching

Teaching Experience

University of North Texas
CSCE 4890, Directed Study, 4 courses.
CSCE 5150, Analysis of Computer Algorithms, 3 courses.
CSCE 5565, Secure Software Development, 2 courses.
CSCE 5934, Directed Study, 1 course.
CSCE 6933, Advanced Topics in Computer Science and Engineering, 2 courses.
CSCE 6940, Individual Research, 5 courses.

Directed Student Learning

Dissertation Committee Member,"Computer Architecture," Computer Science and Engineering. (September 2023 – Present).

Dissertation Committee Member,"Computer Architecture," Computer Science and Engineering. (September 2023 – Present).

Major Professor,"Applied Machine Learning for Cybersecurity," Computer Science and Engineering. (August 21, 2023 – Present).

Major Professor,"High Performance Computing for Graph Analytics," Computer Science and Engineering. (August 21, 2023 – Present).

Dissertation Committee Member,"Graph Analytics," Computer Science and Engineering. (July 2023 – Present).

Dissertation Committee Member,"High Performance Computing," Computer Science and Engineering. (July 2023 – Present).

Dissertation Committee Member,"Location Privacy," Computer Science and Engineering. (March 2023 – Present).

Dissertation Committee Member,"Homomorphic Encryption for Privacy-Preserving Data Collections," Computer Science and Engineering. (January 20, 2023 – Present).

Dissertation Committee Member,"Dynamic Networks: Benchmarks and Analysis," Computer Science and Engineering. (December 14, 2022 – Present).

Dissertation Committee Member,"Quantum Computing," Computer Science and Engineering. (December 13, 2022 – Present).

Dissertation Committee Member,"GPU-accelerated Computing Systems," Computer Science and Engineering. (August 31, 2022 – Present).

Major Professor,"High-Performance Computation for Graph Analytics," Computer Science and Engineering. (January 17, 2022 – Present).

Dissertation Committee Member,"Interaction Dynamics between Hate and Counter Users on Twitter," Computer Science and Engineering. (December 7, 2021 – May 2023).

Dissertation Defense Committee Member,"Interaction Dynamics between Hate and Counter Users on Twitter," Computer Science and Engineering. (February 2023 – February 2023).

Other,"Accelerators for Graph Analytics," Computer Science and Engineering. (December 16, 2022).

Other,"INVESTIGATING THE RELATIONS BETWEEN HATEFUL AND COUNTER HATE CONTENTS ON SOCIAL MEDIA," Computer Science and Engineering. (April 28, 2022).

Other,"IMPROVING THE PERFORMANCE OF DEEP LEARNING METHODS FOR VISUAL RECOGNITION FROM FREQUENCY PERSPECTIVE," Computer Science and Engineering. (April 21, 2022).

Master's Thesis Committee Member,"Autonomic Zero Trust Framework for Network Protection," Computer Science and Engineering. (March 23, 2022).

Dissertation Committee Member,"An Investigation of Scale Factor in Deep Networks for Scene Recognition," Computer Science and Engineering. (December 1, 2021).

Research

Published Intellectual Contributions

Conference Proceeding
Qiu, C., Yadav, S., Ji, Y., Squicciarini, ., Dantu, R., Zhao, J., Xu, C. Fine-Grained Geo-Obfuscation to Protect Workers’ Location Privacy in Large-Scale Time-Sensitive Spatial Crowdsourcing. 27th International Conference on Extending Database Technology (EDBT) 2024.
Feng, W., Chen, S., Liu, H., Ji, Y. (2023). PeeK: A Prune-Centric Approach for Shortest Path Computation. Denver, CO: International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).
Chen, S., Zheng, D., Ding, C., Huan, C., Ji, Y., Liu, H. (2023). TANGO: re-thinking quantization for graph neural network training. International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).
Caldwell, J., Feng, W., Byun, M., Albert, M. V., Shu, T., Ji, Y. (2023). Exploring Power and Thermal Dynamics in the Summit Supercomputer: A Data Visualization Study. 7th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC).
Haleem, Y., Wagenvoord, I., Wei, Q., Xiao, T., Shu, T., Ji, Y. (2023). Understanding Nationwide Power Outage and Restoration for Future Prediction. 7th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC).
Cui, L., Cui, J., Ji, Y., Hao, Z., Li, L., Ding, Z. (2023). API2vec: Learning Representations of API Sequences for Malware Detection. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'23).
Fu, Q., Ji, Y., Huang, H. (2022). TLPGNN: A Lightweight Two-Level Parallelism Paradigm for Graph Neural Network Computation on GPU. ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC). https://dl.acm.org/doi/abs/10.1145/3502181.3531467
He, H., Ji, Y., Huang, H. (2022). Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis. IEEE European Symposium on Security and Privacy. https://ieeexplore.ieee.org/document/9797387
Ji, Y., Huang, H. NestedGNN: Detecting Malicious Network Activity with Nested Graph Neural Networks. IEEE.
Ji, Y., Elsabagh, M., Johnson, R., Stavrou, A. (2021). DEFInit: An Analysis of Exposed Android Init Routines. USENIX Security.
Ji, Y., Cui, L., Huang, H. (2021). Vestige: Identifying Binary Code Provenance for Vulnerability Detection. The 19th International Conference on Applied Cryptography and Network Security (ACNS).
Ji, Y., Cui, L., H. (2021). BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network. The ACM Asia Conference on Computer and Communications Security (AsiaCCS).
Journal Article
Ji, Y., Liu, H., Hu, Y., Huang, H. iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees. ACM.
Shang, L., Guo,, Ji, Y., Li, Q. (2021). Discovering Unknown Advanced Persistent Threat Using Shared Features Mined by Neural Networks. Computer Networks.
Poster
Wang, L., Malladi, A., Ji, Y. Efficient Sparse Deep Neural Network Computation on GPU. ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).

Presentations Given

Invited Talk

Ji, Y. (Author & Presenter), CS595 Trustworthy Machine Learning at Illinois Institute of Technology, Graph Neural Network Explanation for Cybersecurity Applications, Illinois Institute of Technology, Virtual, United States of America. (2022 – ).

Ji, Y. (Author & Presenter), UNT CSE Seminar, Graph-Centric Security, Learning, and Computing, United States of America. (2023 – 2023).

Ji, Y. (Author & Presenter), Mathematics in Computation (MiC) seminar at Oak Ridge National Laboratory, Graph-Centric Security, Learning, and Computing, Oak Ridge National Laboratory, Oak Ridge, TN, United States of America. (2023 – 2023).

Ji, Y. (Author & Presenter), Illinois Institute of Technology, Basics of Software Security, Illinois Institute of Technology, Virtual, United States of America. (2023 – 2023).

Ji, Y. (Author & Presenter), UNT CSE Seminar, Graph-Centric Security, Learning, and Computing, United States of America. (2023 – 2023).

Ji, Y. (Author & Presenter), UNT Cybersecurity Symposium, Graph AI for Cybersecurity, UNT G. Brint Ryan College of Business, G. Brint Ryan College of Business, United States of America. (2022 – 2022).

Ji, Y. (Author & Presenter), Professional Seminars in Cybersecurity at University of Guelph, Code Vulnerability Detection with Graph Algorithm and Learning, University of Guelph, Virtual, Canada. (2022 – 2022).

Ji, Y. (Author & Presenter), CS584 Machine Learning at Illinois Institute of Technology, Graph-Centric Machine Learning for Cybersecurity, Illinois Institute of Technology, Virtual, United States of America. (2022 – 2022).

Oral Presentation

Ji, Y. (Author & Presenter), Digital Divas 2023, Graph Algorithms, United States of America. (2023 – 2023).

Panel Presentation

Ji, Y. (Coordinator/Organizer), Tunc, C. (Panelist), Qiu, C. (Panelist), Feng, Y. (Panelist), Texas CSTA Chapters Conference 2023, Recent Advances in Security and Privacy, United States of America. (2023 – 2023).

Paper

Ji, Y. (Author & Presenter), ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), API2Vec: Learning Representations of API Sequences for Malware, United States of America. (2023 – 2023).

Contracts, Grants and Sponsored Research

Grant - Research
Ji, Y. (Principal), Bhowmick, S. (Co-Principal), "Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale," Sponsored by National Science Foundation, Federal, $308739 Funded. (January 1, 2024 – December 31, 2026).
Ji, Y. (Principal), Gao, X. (Co-Principal), "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure," Sponsored by National Science Foundation, Federal, $600000 Funded. (August 1, 2023 – July 31, 2026).
Ji, Y., "Scalable and Efficient Computation of Graph Neural Networks on GPUs," Sponsored by Google, Private, $5000 Funded. (September 1, 2021 – August 31, 2022).
Grant - Teaching
Ji, Y., "Analysis of Computer Algorithms," Sponsored by Google, Private, $5350 Funded. (August 27, 2022 – August 29, 2023).
Ji, Y., "Analysis of Computer Algorithms," Sponsored by Google, Private, $2900 Funded. (October 1, 2021 – August 23, 2022).

Awards and Honors

Best Poster Award, 7th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC). (August 2023 – Present).

Best Paper Award, IFIP International Conference on Network and Parallel Computing (NPC). (2014 – Present).

Service

University Service

Committee Member, PhD Admission Committee. (September 27, 2022 – Present).

Professional Service

Editorial Review Board Member, IEEE Transactions on Parallel and Distributed Systems (TPDS). (November 2023 – Present).

Editor, Associate Editor, IEEE Open Journal of the Communications Society (OJ-COMS). (August 2023 – Present).

Reviewer, Grant Proposal, National Science Foundation. (December 8, 2023 – January 30, 2024).

Committee Member, Learning on Graphs Conference (LoG) 2023. (August 2023 – December 2023).

Reviewer, Grant Proposal, National Science Foundation. (October 5, 2023 – November 30, 2023).

Committee Member, 26th Information Security Conference (ISC). (May 2023 – November 2023).

Other, Second Annual Workshop on Cyber Security in High Performance Computing (S-HPC’23). (April 2023 – November 2023).

Committee Member, SC 2023 Doctoral Showcase Poster Track. (December 13, 2022 – November 18, 2023).

Reviewer, Grant Proposal, National Center For Transportation Cybersecurity and Resiliency (TraCR). (October 9, 2023 – October 30, 2023).

Committee Member, SC Workshop on Machine Learning with Graphs in High Performance Computing Environments (MLG-HPCE). (July 2023 – September 2023).

Reviewer, Grant Proposal, National Science Foundation. (May 9, 2023 – June 30, 2023).

Committee Member, ACM HPDC 2023. (November 29, 2022 – May 2023).

Committee Member, Workshop on High Performance Computational Biology (HiCOMB) in conjunction with IPDPS 2023. (January 2, 2023 – May 15, 2023).

Reviewer, Journal Article, ACM Transactions on Sensor Networks (TOSN). (January 23, 2023 – March 31, 2023).

Reviewer, Grant Proposal, National Science Foundation. (December 24, 2022 – January 31, 2023).

Reviewer, Journal Article, Knowledge-Based Systems. (July 5, 2022 – December 16, 2022).

Committee Member, Inaugural Learning on Graphs Conference (LoG) 2022. (August 8, 2022 – December 12, 2022).

Reviewer, Journal Article, ACM Transactions on Sensor Networks (TOSN). (September 6, 2022 – October 31, 2022).

Reviewer, Journal Article, International Journal of Information and Computer Security. (February 14, 2022 – July 31, 2022).

Reviewer, Journal Article, IEEE Transactions on Parallel and Distributed Systems. (June 3, 2022 – July 10, 2022).

Session Chair, IEEE International Conference on Communications (ICC 2022). (April 26, 2022 – May 20, 2022).

Reviewer, Grant Proposal, National Science Foundation. (December 14, 2021 – February 28, 2022).

Reviewer, Conference Paper, DAC. (December 15, 2021 – February 15, 2022).

Reviewer, Journal Article, IEEE Transactions on Industrial Informatics. (December 17, 2021).

Reviewer, Journal Article, Cybersecurity. (December 9, 2021).

Guest Speaker, SC 2021 BoF Early Career, St Louis, MO. (November 18, 2021).

Committee Member, SC 2021 Research Posters Judge, St Louis, MO. (November 18, 2021).

Reviewer, Journal Article, ACM TOPC. (October 2, 2021).