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Li-Jie Zheng

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Preprint Sep 2026

Know the Normal, Track the Attack: Context-Grounded and Stateful LLM Investigation over System Provenance

Provenance-based intrusion detection systems (PIDSs) identify suspicious activity in audit streams, but their outputs remain difficult to turn into coherent attack narratives. Direct LLM analyses of local anomalous subgraphs lack deployment-specific normal-behavior knowledge and validated attack state across evidence f...

Li-Jie Zheng, Ji He, Ying Wang et al. · 0 citations
Preprint Sep 2026

One Pipeline Does Not Fit All: TAILOR, a Type- and State-Aware Framework for CVE Reproduction

TAILOR broadens the coverage of automated CVE reproduction and provides auditable evidence for vulnerability diagnosis and defense and ablation experiments show that the two control levels respectively mitigate execution-path mismatch and missing Web prerequisite state.

Ji He, Huang Zhang, Li-Jie Zheng et al. · 0 citations
Review Open access 2026

A Multi-Agent DevSecOps Framework for Intelligent Vulnerability Detection and Auto-Remediation

This paper presents a multi-agent DevSecOps framework that integrates static code scanning, large language model (LLM) based security reasoning, automated repair generation, policy-as-code enforcement, and runtime monitoring into a unified event-driven pipeline. Five specialized agents collaborate through LangGraph sha...

Hai-Ning Fan, Li-Jie Zheng, Chen-Hao Han et al. · 0 citations
#machine learning Preprint Sep 2026

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

RECAL is presented, an unsupervised framework using relation-balanced masked graph learning to better capture rare interaction patterns and calibrates reconstruction errors against each relation's benign error distribution to produce comparable anomaly evidence, helping distinguish attacks from benign behavior and redu...

Li-Jie Zheng, Ji He, Zhi-Wei Zhang et al. · 0 citations
Preprint Jul 2026

From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networks

Integrated sensing and communications (ISAC) is moving from proof-of-concept demonstrations to system-level deployment in sixth-generation (6G) networks. Because sensing and communication share hardware, spectrum, and waveform resources, ISAC design now involves many tightly coupled choices, including waveform selectio...

Lijie Zheng, Xudong Zhong, Baoquan Ren et al. · 0 citations

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