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Dr. Yuede Ji

Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Yuede.Ji@unt.edu

Education

  • PhD, George Washington University, 2021
    Major: Computer Engineering
    Specialization: Cybersecurity and High-Performance Computing
    Dissertation: High-Performance Graph Computing and Application in Cybersecurity
  • MS, Jilin University, 2015
    Major: Computer Science
    Specialization: Cybersecurity
    Dissertation: Host-Based Botnet Detection
  • BE, Jilin University, 2012
    Major: Software Engineering
    Specialization: Software Engineering
    Dissertation: 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, 3 courses.
  • CSCE 6940 - Individual Research, 5 courses.

Directed Student Learning

  • Dissertation Committee Member, "Computer Architecture," Computer Science and Engineering. (September 2023).
  • Dissertation Committee Member, "Computer Architecture," Computer Science and Engineering. (September 2023).
  • Major Professor, "Applied Machine Learning for Cybersecurity," Computer Science and Engineering. (August 21, 2023).
  • Major Professor, "High Performance Computing for Graph Analytics," Computer Science and Engineering. (August 21, 2023).
  • Dissertation Committee Member, "Graph Analytics," Computer Science and Engineering. (July 2023).
  • Dissertation Committee Member, "High Performance Computing," Computer Science and Engineering. (July 2023).
  • Dissertation Committee Member, "Location Privacy," Computer Science and Engineering. (March 2023).
  • Dissertation Committee Member, "Homomorphic Encryption for Privacy-Preserving Data Collections," Computer Science and Engineering. (January 20, 2023).
  • Dissertation Committee Member, "Dynamic Networks: Benchmarks and Analysis," Computer Science and Engineering. (December 14, 2022).
  • Dissertation Committee Member, "Quantum Computing," Computer Science and Engineering. (December 13, 2022).
  • Dissertation Committee Member, "GPU-accelerated Computing Systems," Computer Science and Engineering. (August 31, 2022).
  • Major Professor, "High-Performance Computation for Graph Analytics," Computer Science and Engineering. (January 17, 2022).
  • 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 (Doctoral Qualifying Exam (Research Readiness)), "Accelerators for Graph Analytics," Computer Science and Engineering. (December 16, 2022).
  • Other (Doctoral Qualifying Exam (Proposal)), "INVESTIGATING THE RELATIONS BETWEEN HATEFUL AND COUNTER HATE CONTENTS ON SOCIAL MEDIA," Computer Science and Engineering. (April 28, 2022).
  • Other (Doctoral Qualifying Exam (Proposal)), "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).

Awards and Honors

  • Best Poster Award, 7th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC). (August 2023).
  • Best Paper Award, IFIP International Conference on Network and Parallel Computing (NPC). (2014).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Qiu, C., Yadav, S., Ji, Y., Squicciarini, A., 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, 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. (2024 - 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. (2023 - 2026).
  • Ji, Y., "Scalable and Efficient Computation of Graph Neural Networks on GPUs," sponsored by Google, Private, $5000 Funded. (2021 - 2022).

    • Grant - Teaching

  • Ji, Y., "Analysis of Computer Algorithms," sponsored by Google, Private, $5350 Funded. (2022 - 2023).
  • Ji, Y., "Analysis of Computer Algorithms," sponsored by Google, Private, $2900 Funded. (2021 - 2022).

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 (Publication Chair), 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).