Hongri Liu

According to our database, Hongri Liu authored at least 19 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

HunterAgent: Neuro-Symbolic Attack Trace Reconstruction under Anti-Forensics.

Guangze Zhao, Yongzheng Zhang, Weilin Gai, Hongri Liu, Yuliang Wei, Bailing Wang

CoRR, May, 2026

Exploitation prioritization and residual risk assessment based on hybrid MCDM model.

Zibo Wang, Yaofang Zhang, Sicai Lv, Yingzhou Wang, Hongri Liu, Bailing Wang

Turkish J. Electr. Eng. Comput. Sci., 2026

2025

Information-Dense Reasoning for Efficient and Auditable Security Alert Triage.

Guangze Zhao, Yongzheng Zhang, Changbo Tian, Dan Xie, Hongri Liu, Bailing Wang

CoRR, December, 2025

TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph.

Wenhan Jiang, Tingting Chai, Hongri Liu, Kai Wang, Hongke Zhang

CoRR, January, 2025

XIPHOS: Adaptive In-Vehicle Intrusion Detection via Unsupervised Graph Contrastive Learning.

Qiguang Jiang, Kai Wang, Yuliang Wei, Hongri Liu, Bailing Wang

IEEE Trans. Inf. Forensics Secur., 2025

A novel model on improving Chinese dialogue summarization with multi-perspective information enhancement.

Zhendong Wang, Kaikun Dong, Zongwei Du, Junheng Huang, Hongri Liu, Bailing Wang

Neural Networks, 2025

PPEIM: A preference path-based early-stage influence accumulation model for influential nodes identification in locally dense multi-core networks.

Yaofang Zhang, Zibo Wang, Yang Liu, Ruohan Zhao, Hongri Liu, Bailing Wang

J. Comput. Sci., 2025

Anomaly detection in industrial control systems: Leveraging adaptive multi-granularity anomaly correction for robust performance in noisy environments.

Yaofang Zhang, Sicai Lv, Yang Liu, Hongri Liu, Bailing Wang

Array, 2025

2023

GNN-based Advanced Feature Integration for ICS Anomaly Detection.

Shuaiyi L(y)u, Kai Wang, Yuliang Wei, Hongri Liu, Qilin Fan, Bailing Wang

ACM Trans. Intell. Syst. Technol., December, 2023

A risk assessment model for similar attack scenarios in industrial control system.

Yaofang Zhang, Zibo Wang, Yingzhou Wang, Kuan Lin, Tongtong Li, Hongri Liu, Chao Li, Bailing Wang

J. Supercomput., September, 2023

Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder.

Chao Wang, Yunxiao Sun, Wenting Wang, Hongri Liu, Bailing Wang

Symmetry, February, 2023

DegreEmbed: Incorporating entity embedding into logic rule learning for knowledge graph reasoning.

Haotian Li, Hongri Liu, Yao Wang, Guodong Xin, Yuliang Wei

Semantic Web, 2023

2021

A novel classification model of collective user web behaviour based on network traffic contents.

Hongri Liu, Shuo Wang, Yuliang Wei, Bailing Wang

IET Networks, 2021

2020

Anomaly Detection for Industrial Control System Based on Autoencoder Neural Network.

Chao Wang, Bailing Wang, Hongri Liu, Haikuo Qu

Wirel. Commun. Mob. Comput., 2020

A Deep Learning Approach to Detect Anomaly in Software-Defined Network.

Xinshuo Bai, Jun Bai, Xu Yang, Hongri Liu, Bailing Wang, Yang Liu

Proceedings of the 12th International Conference on Advanced Infocomm Technology, 2020

2019

An Interactive Traffic Replay Method in a Scaled-Down Environment.

Hongri Liu, Lun An, Jiawei Ren, Bailing Wang

IEEE Access, 2019

Analysis of the Influence of Individual Web Behavior Pattern on Group Behavior Simulation.

Jingjing Li, Yang Liu, Hongri Liu, Bailing Wang, Wei Wang, Lianhai Wang

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018

<i>Research Notes</i>: User Identification Model Based on Mouse Behaviors.

Bailing Wang, Hongri Liu, Kaixin Wang, Guodong Xin, Jia Song

Int. J. Softw. Eng. Knowl. Eng., 2018

2017

Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation.

Shujie Hu, Jun Bai, Hongri Liu, Chao Wang, Bailing Wang

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017