Selected Publications

Here is the full publication list. The students advised by me are underlined.

• [EuroSys '25] BINGO: Radix-based Bias Factorization for Random Walk on Dynamic Graphs.
  Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu
  ACM EuroSys 2025

• [USENIX Security '24] Code is not Natural Language: Unlock the Power of Semantics-Oriented Graph Representation for Binary Code Similarity Detection.
  Haojie He, Xingwei Lin, Ziang Weng, Ruijie Zhao, Shuitao Gan, Libo Chen, Yuede Ji, Jiashui Wang, Zhi Xue
  The 33rd USENIX Security Symposium
  

• [ACSAC '24] CloudCover: Enforcement of Multi-Hop Network Connections in Microservice Deployments.[PDF][Slides]
  Dalton A. Brucker-Hahn, Wang Feng, Shanchao Li, Matthew Petillo, Alexandru G. Bardas, Drew Davidson, Yuede Ji
  The 40th Annual Computer Security Applications Conference (ACSAC)
  

• [TSE] API2Vec++: Boosting API Sequence Representation for Malware Detection and Classification. [PDF][Code]
  Lei Cui, Junan Yin, Jiancong Cui, Yuede Ji, Peng Liu, Zhiyu Hao, Xiaochun Yun
  IEEE Transactions on Software Engineering
  

• [SC '23] PeeK: A Prune-Centric Approach for K Shortest Path Computation.[PDF][Code]
  Wang Feng, Shiyang Chen, Hang Liu, and Yuede Ji
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
  

• [SC '23] Tango: Re-Thinking Quantization for Graph Neural Network Training on GPUs.[PDF]
  Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, and Hang Liu
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
  

• [ISSTA '23] API2vec: Learning Representations of API Sequences for Malware Detection. [PDF][Code]
  Lei Cui^*, Jiancong Cui^*, Yuede Ji, Zhiyu Hao, Lun Li, Zhenquan Ding (^* equal contributions).
  ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
  

• [HPDC '22] TLPGNN: A Lightweight Two-Level Parallelism Paradigm for Graph Neural Network Computation on GPU. [PDF][Code]
  Qiang Fu, Yuede Ji, and H. Howie Huang
  ACM International Symposium on High-Performance Parallel and Distributed Computing
  

• [EuroS&P '22] Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis. [PDF][Code]
  Haoyu He, Yuede Ji, and H. Howie Huang
  IEEE European Symposium on Security and Privacy, 2022
  

• [USENIX Security '21] DEFInit: An Analysis of Exposed Android Init Routines. [PDF][PPT]
  Yuede Ji, Mohamed Elsabagh, Ryan Johnson, and Angelos Stavrou
  Tthe 30th USENIX Security Symposium
  

• [AsiaCCS '21] BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network. [PDF][PPT]
  Yuede Ji, Lei Cui, and H. Howie Huang
  The ACM Asia Conference on Computer and Communications Security
  

• [RAID '20] Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph AI. [PDF]
  Benjamin Bowman, Craig Laprade, Yuede Ji, and H. Howie Huang
  The 23rd International Symposium on Research in Attacks, Intrusions and Defenses
  

• [HPDC '20] Aquila: Adaptive Parallel Computation of Graph Connectivity Queries. [PDF][PPT][Video][Code]
  Yuede Ji and H. Howie Huang
  The 29th International Symposium on High-Performance Parallel and Distributed Computing
  

• [SC '18] iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees. [PDF][PPT][Code]
  Yuede Ji, Hang Liu, and H. Howie Huang,
  International Conference for High Performance Computing, Networking, Storage, and Analysis