Qianyu Li

Orcid: 0000-0002-7137-999X

Affiliations:
  • National University of Defense Technology, College of Electronic Engineering, Hefei, China
  • Nanyang Technological University, Hardware and Embedded Systems Laboratory, School of Computer Science and Engineering, Singapore
  • Beijing University of Chemical Technology, College of Information Science and Technology, China


According to our database1, Qianyu Li authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MetaRAG: Identifying Website Owner Using Meta-Path-Guided Dynamic Graph Retrieval-Augmented Generation.
ACM Trans. Inf. Syst., May, 2026

CryptDNN: A Fast Privacy-Preserving Deep Neural Network Inference Architecture Based on Cloud-Edge-Client Collaboration.
IEEE Trans. Netw. Sci. Eng., 2026

Mimi: Dynamically Secure Multi-Keyword Retrieval Scheme With Two-Factor Verification.
IEEE Trans. Dependable Secur. Comput., 2026

2024
An Intelligent Penetration Testing Method Using Human Feedback.
IEEE Trans. Ind. Informatics, 2024

DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning.
IEEE Trans. Inf. Forensics Secur., 2024

2023
BD-CVSA: A Broadband Direction Finding Method Based on Constructing Virtual Sparse Arrays.
Signal Process., November, 2023

INNES: An intelligent network penetration testing model based on deep reinforcement learning.
Appl. Intell., November, 2023

A hierarchical deep reinforcement learning model with expert prior knowledge for intelligent penetration testing.
Comput. Secur., September, 2023

Sparse reward for reinforcement learning-based continuous integration testing.
J. Softw. Evol. Process., June, 2023

Tunter: Assessing Exploitability of Vulnerabilities with Taint-Guided Exploitable States Exploration.
Comput. Secur., 2023

AlphaEXP: An Expert System for Identifying Security-Sensitive Kernel Objects.
Proceedings of the 32nd USENIX Security Symposium, 2023

2020
Occurrence Frequency and All Historical Failure Information Based Method for TCP in CI.
Proceedings of the ICSSP '20: International Conference on Software and System Processes, 2020


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