Wenhao Li

Orcid: 0000-0003-2268-7416

Affiliations:
  • China Telecom Company Ltd., Research Institute, Guangzhou, China
  • Chinese Academy of Sciences (CAS), Institute of Information Engineering, China
  • University of Chinese Academy of Sciences (UCAS), School of Cyber Security, China (PhD 2024)


According to our database1, Wenhao Li authored at least 23 papers between 2021 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Magnifier: Detecting Network Access via Lightweight Traffic-Based Fingerprints.
IEEE Trans. Inf. Forensics Secur., 2025

2024
Magnifier: Detecting Network Access via Lightweight Traffic-based Fingerprints.
CoRR, 2024

Stories behind decisions: Towards interpretable malware family classification with hierarchical attention.
Comput. Secur., 2024

metaNet: Interpretable unknown mobile malware identification with a novel meta-features mining algorithm.
Comput. Networks, 2024

Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection.
Proceedings of the ACM on Web Conference 2024, 2024

A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM.
Proceedings of the Computational Science - ICCS 2024, 2024

CAFE: Robust Detection of Malicious Macro based on Cross-modal Feature Extraction.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Poster: Enhancing Network Traffic Analysis with Pre-trained Side-channel Feature Imputation.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Poster: Towards Real-Time Intrusion Detection with Explainable AI-Based Detector.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Demo: Enhancing Smart Contract Security Comprehensively through Dynamic Symbolic Execution.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Poster: PGPNet: Classify APT Malware Using Prediction-Guided Prototype Network.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
VulHunter: Hunting Vulnerable Smart Contracts at EVM Bytecode-Level via Multiple Instance Learning.
IEEE Trans. Software Eng., November, 2023

ProGraph: Robust Network Traffic Identification With Graph Propagation.
IEEE/ACM Trans. Netw., June, 2023

Prism: Real-Time Privacy Protection Against Temporal Network Traffic Analyzers.
IEEE Trans. Inf. Forensics Secur., 2023

AST2Vec: A Robust Neural Code Representation for Malicious PowerShell Detection.
Proceedings of the Science of Cyber Security - 5th International Conference, 2023

Payload Level Graph Attention Network for Web Attack Traffic Detection.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Robust network traffic identification with graph matching.
Comput. Networks, 2022

High-Efficient and Few-shot Adaptive Encrypted Traffic Classification with Deep Tree.
Proceedings of the IEEE Military Communications Conference, 2022

GBLNet: Detecting Intrusion Traffic with Multi-granularity BiLSTM.
Proceedings of the Computational Science - ICCS 2022, 2022

AMDetector: Detecting Large-Scale and Novel Android Malware Traffic with Meta-learning.
Proceedings of the Computational Science - ICCS 2022, 2022

A Glimpse of the Whole: Detecting Few-shot Android Malware Encrypted Network Traffic.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
Mining Trojan Detection Based on Multi-dimensional Static Features.
Proceedings of the Science of Cyber Security - Third International Conference, 2021

HSLF: HTTP Header Sequence Based LSH Fingerprints for Application Traffic Classification.
Proceedings of the Computational Science - ICCS 2021, 2021


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