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Zhen Tian

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Conference Aug 2026

Fine-Grained Threat Detection from Audit Logs via Dynamic Provenance Graph Learning

Advanced Persistent Threats (APTs) often involve long-term and multi-stage behaviors, making them difficult to detect from massive audit logs. Provenance graphs can capture causal relationships among system activities, but existing methods still face challenges in modeling entity-level temporal evolution and controllin...

Jian-Jin Zhao, Jian-Yu Wang, Jun Shan et al. · 0 citations
#artificial intelligence Book Open access Apr 2026

Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data

A credit risk early warning system based on heterogeneous information fusion that employs a model architecture integrating deep neural networks and attention mechanisms to extract multidimensional features from diverse data sources such as transaction behaviors and social networks, thereby establishing an early identif...

Li-Yang Wang, Z. Zhong, Zhen Tian et al. · 0 citations
2026

Dual-Mode SPL-SLAM: A Robust Semantic Point-Line SLAM System With Monocular Neural Depth and Sensor Fusion for Intelligent Transportation

Dual-Mode SPL-SLAM is proposed, a unified adaptive framework capable of adapting to different intelligent driving agents and achieves state-of-the-art accuracy and real-time performance across diverse sensor configurations.

Zhen Tian, Zhihao Lin, De-Zong Zhao et al. · 0 citations
Open access Jul 2026

H-PBFT: A Hierarchical and Credit-Aware PBFT Consensus Mechanism for Blockchain-Based Intelligent Transportation Systems

Simulation results show that compared with standard PBFT, Q-PBFT, and APBFT, H-PBFT exhibits significant advantages in consensus latency, throughput, and view switching recovery time, and maintains high system robustness even in complex network environments with malicious nodes.

Zhen-Hua Wang, Jiangang Hu, Xinmeng Wang et al. · 0 citations

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