Yuede Ji

Previous Scheduled Teaching

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).

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. (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).