activity
20222026
most citedTREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning

24 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance

Xuebo Qiu, Mingqi Lv, Yimei Zhang +2

Advanced Persistent Threats (APTs) remain difficult to detect due to their stealthy nature and long-term persistence. To tackle this challenge, provenance-based threat hunting has…

cs.CR2025

APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training

Xuebo Qiu, Mingqi Lv, Yimei Zhang +4

Provenance-based threat hunting identifies Advanced Persistent Threats (APTs) on endpoints by correlating attack patterns described in Cyber Threat Intelligence (CTI) with provenan…

cs.AI2025

Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision

Yimei Zhang, Guojiang Shen, Kaili Ning +4

Region representation learning plays a pivotal role in urban computing by extracting meaningful features from unlabeled urban data. Analogous to how perceived facial age reflects a…

cs.CR2024★ 24 cited

TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning

Mingqi Lv, HongZhe Gao, Xuebo Qiu +4

APT (Advanced Persistent Threat) with the characteristics of persistence, stealth, and diversity is one of the greatest threats against cyber-infrastructure. As a countermeasure, e…

cs.SE2022★ 1 cited

Kellect: a Kernel-Based Efficient and Lossless Event Log Collector for Windows Security

Tieming Chen, Qijie Song, Xuebo Qiu +3

Recently, APT attacks have frequently happened, which are increasingly complicated and more challenging for traditional security detection models. The system logs are vital for cyb…