Liyi Zeng

Orcid: 0009-0009-1627-5811

According to our database1, Liyi Zeng authored at least 20 papers between 2021 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
Nontargeted Delay Attacks on Blockchain P2P Network: Feasibility and Financial Implications.
IEEE Trans. Cybern., June, 2026

ContrastMatcher: Adaptive Contrastive Provenance Graph Matching for Host-Based Attack Detection.
IEEE Internet Things J., 2026

VDM-IoT: Context Enhanced Knowledge Graph-Prompted LLMs for Internet of Things Vulnerability Description Mappings.
IEEE Internet Things J., 2026

An interpretable intrusion detection framework based on ensemble neural networks for dynamic network environments.
Expert Syst. Appl., 2026

Pyramid graph neural network knowledge distillation with pre-trained language model for medical question answering.
Eng. Appl. Artif. Intell., 2026

2025
IL-IDS: an incremental learning approach with confined data streams for intrusion detection.
Cybersecur., December, 2025

RED-Scenario: A Resource-Efficient Deployment Framework for Scenarios through Dependency Package Management.
IEEE Commun. Mag., September, 2025

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM.
CoRR, June, 2025

Uncovering multi-step attacks with threat knowledge graph reasoning.
Secur. Saf., 2025

GBFKAN: An Adaptive Multilayer Interpretable Architecture for Intrusion Detection in Various Internet of Things Scenarios.
IEEE Internet Things J., 2025

An Empirical Study of Proposer-Builder Separation (PBS) Effects on the Ethereum Ecosystem.
Big Data Cogn. Comput., 2025

ADMatcher: Self-supervised Subgraph Matching via Adaptive Dense-Aware Graph Contrastive Learning.
Proceedings of the Database Systems for Advanced Applications, 2025

From IPs to Threat Groups: Community Detection on Rule-Enhanced Homology Graphs.
Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

Credibility-Driven Quality Assessment of Multi-source Cyber Threat Intelligence.
Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024
Threat intelligence named entity recognition techniques based on few-shot learning.
Array, 2024

CIL4EMTD: A Novel Class Incremental Learning Method for Encrypted Malware Traffic Detection.
Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

Vehicle Network Intrusion Detection Based on K-nearest Neighbor Variational Autoencoder Using Contrastive Learning.
Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

FreqAT: An Adversarial Training Based on Adaptive Frequency-Domain Transform.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023
Mercury: Fast Transaction Broadcast in High Performance Blockchain Systems.
Proceedings of the IEEE INFOCOM 2023, 2023

2021
Characterizing Ethereum's Mining Power Decentralization at a Deeper Level.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021


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