Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation. - Shujie Hu; Jun Bai; Hongri Liu; Chao Wang; Bailing Wang (ISCID (1), 2017)

Research Notes: User Identification Model Based on Mouse Behaviors. - Bailing Wang; Hongri Liu; Kaixin Wang; Guodong Xin; Jia Song (Int. J. Softw. Eng. Knowl. Eng., 2018)

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 (DSC, 2019)

An Interactive Traffic Replay Method in a Scaled-Down Environment. - Hongri Liu; Lun An; Jiawei Ren; Bailing Wang (IEEE Access, 2019)

A Deep Learning Approach to Detect Anomaly in Software-Defined Network. - Xinshuo Bai; Jun Bai; Xu Yang; Hongri Liu; Bailing Wang; Yang Liu (ICAIT, 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 novel classification model of collective user web behaviour based on network traffic contents. - Hongri Liu; Shuo Wang; Yuliang Wei; Bailing Wang (IET Networks, 2021)

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)

Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder. - Chao Wang; Yunxiao Sun; Wenting Wang; Hongri Liu; Bailing Wang (Symmetry, 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., 2023)

GNN-based Advanced Feature Integration for ICS Anomaly Detection. - Shuaiyi L(y)u; Kai Wang 014; Yuliang Wei; Hongri Liu; Qilin Fan; Bailing Wang (ACM Trans. Intell. Syst. Technol., 2023)

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)

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)

TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph. - Wenhan Jiang; Tingting Chai; Hongri Liu; Kai Wang 014; Hongke Zhang (CoRR, 2025)