Analysis on Structural Vulnerability Under the Asymmetric Information. - Mingshu He; Xiaojuan Wang; Jingwen You; Zhen Wang (HCC, 2017)

A Survey of Network Topology of Data Center. - Xin He; Mingshu He; Zhijie Han 001 (BigDataSecurity/HPSC/IDS, 2018)

Research on Data Visualization in Different Scenarios. - Xin Guo; Mingshu He; Mo Chen; Xiaojie Zhao; Ye Tian (HCC, 2018)

Toward PTNET Network Topology Analysis and Routing Algorithm Design. - Zhijie Han 001; Qingfang Zhang; Xiaoyu Du 001; Kun Guo 001; Mingshu He (ICDS, 2019)

Interpretability Framework of Network Security Traffic Classification Based on Machine Learning. - Mingshu He; Lei Jin 003; Mei Song (ICAIS (2), 2021)

An N-gram Based Deep Learning Method for Network Traffic Classification. - Xiaojuan Wang; Kaiwenlv Kacuila; Mingshu He (ICAIS (2), 2021)

Evolutionary Algorithm-Based and Network Architecture Search-Enabled Multiobjective Traffic Classification. - Xiaojuan Wang; Xinlei Wang; Lei Jin 003; Renjian Lv; Bingying Dai; Mingshu He; Tianqi Lv (IEEE Access, 2021)

Machine-Learning-Based User Position Prediction and Behavior Analysis for Location Services. - Haiyang Jiang 005; Mingshu He; Yuanyuan Xi; Jianqiu Zeng (Inf., 2021)

Deep-Feature-Based Autoencoder Network for Few-Shot Malicious Traffic Detection. - Mingshu He; Xiaojuan Wang; Junhua Zhou; Yuanyuan Xi; Lei Jin 003; Xinlei Wang (Secur. Commun. Networks, 2021)

Malicious Network Behavior Detection Using Fusion of Packet Captures Files and Business Feature Data. - Mingshu He; Xiaojuan Wang; Lei Jin 003; Bingying Dai; Kaiwenlv Kacuila; Xiaosu Xue (Sensors, 2021)

DRNet: A Depth-Based Regression Network for 6D Object Pose Estimation. - Lei Jin 003; Xiaojuan Wang; Mingshu He; Jingyue Wang (Sensors, 2021)

HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms. - Xiaojuan Wang; Xinlei Wang; Tianqi Lv; Lei Jin 003; Mingshu He (Sensors, 2021)

A Commodity Classification Framework Based on Machine Learning for Analysis of Trade Declaration. - Mingshu He; Xiaojuan Wang; Chundong Zou; Bingying Dai; Lei Jin 003 (Symmetry, 2021)

Network Intrusion Detection Based on an Efficient Neural Architecture Search. - Renjian Lyu; Mingshu He; Yu Zhang 165; Lei Jin 003; Xinlei Wang (Symmetry, 2021)

AdaptivePose: Human Parts as Adaptive Points. - Yabo Xiao; Xiaojuan Wang; Dongdong Yu; Guoli Wang 004; Qian Zhang 009; Mingshu He (AAAI, 2022)

between flow and bytes. - Yiqing Luo; Mingshu He; Xiaojuan Wang; Lei Jin 003 (BigDataService, 2022)

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. - Yabo Xiao; Kai Su; Xiaojuan Wang; Dongdong Yu; Lei Jin 003; Mingshu He; Zehuan Yuan (NeurIPS, 2022)

Topology analysis and routing algorithms design for PTNet network. - Zhijie Han 001; Qingfang Zhang; Xiaoyu Du 001; Kun Guo 001; Mingshu He (Concurr. Comput. Pract. Exp., 2022)

A Manifold Consistency Interpolation Method of Poisoning Attacks Against Semi-Supervised Model. - Xinlei Wang; Xiaojuan Wang; Mingshu He; Min Zhang 022; Zhao Zhang 023 (IEEE Trans. Inf. Forensics Secur., 2023)

CSK-CNN: Network Intrusion Detection Model Based on Two-Layer Convolution Neural Network for Handling Imbalanced Dataset. - Jiaming Song; Xiaojuan Wang; Mingshu He; Lei Jin 003 (Inf., 2023)

Global-To-Pixel Regression for Human Mesh Recovery. - Yabo Xiao; Mingshu He; Dongdong Yu (ECCV (16), 2024)

HeVulD: A Static Vulnerability Detection Method Using Heterogeneous Graph Code Representation. - Yuanming Huang; Mingshu He; Xiaojuan Wang; Jie Zhang 006 (IEEE Trans. Inf. Forensics Secur., 2024)

Supervised Representation Learning for Network Traffic With Cluster Compression. - Xiaojuan Wang; Yu Zhang 165; Mingshu He; Shize Guo; Liu Yang (IEEE Trans. Sustain. Comput., 2024)

A Lightweight and Efficient IoT Intrusion Detection Method Based on Feature Grouping. - Mingshu He; Yuanming Huang; Xinlei Wang; Peng Wei; Xiaojuan Wang (IEEE Internet Things J., 2024)

Spatial-Temporal Graph Model Based on Attention Mechanism for Anomalous IoT Intrusion Detection. - Xinlei Wang; Xiaojuan Wang; Mingshu He; Min Zhang 022; Zikui Lu (IEEE Trans. Ind. Informatics, 2024)

Reinforcement Learning Meets Network Intrusion Detection: A Transferable and Adaptable Framework for Anomaly Behavior Identification. - Mingshu He; Xiaojuan Wang; Peng Wei; Liu Yang; Yinglei Teng; Renjian Lyu (IEEE Trans. Netw. Serv. Manag., 2024)

Intrusion Detection for Encrypted Flows Using Single Feature Based on Graph Integration Theory. - Ying Han; Xinlei Wang; Mingshu He; Xiaojuan Wang; Shize Guo (IEEE Internet Things J., 2024)

Toward Efficient Neural Networks Through Predictor-Assisted NSGA-III for Anomaly Traffic Detection of IoT. - Xinlei Wang; Mingshu He; Jiaxuan Wang; Xiaojuan Wang (IEEE Trans. Cogn. Commun. Netw., 2024)

A Semantic Detection Method for Network Flows With Global and Generalized Nature. - Xiaojuan Wang; Yiqing Luo; Mingshu He; Xinlei Wang (IEEE Trans. Netw. Serv. Manag., 2024)

GETRF: A General Framework for Encrypted Traffic Identification With Robust Representation Based on Datagram Structure. - Xiaojuan Wang; Zikui Lu; Xinlei Wang; Mingshu He; Xiaojun Wang 001 (IEEE Trans. Cogn. Commun. Netw., 2024)

Analyzing the Semantic Structure of Network Flow: A Threat Detection Method With Independent Generalization Capabilities. - Yiqing Luo; Mingshu He; Xiaojuan Wang (IEEE Trans. Netw. Sci. Eng., 2025)

An Efficient DDoS Detection Method Based on Packet Grouping via Online Data Flow Processing. - Mingshu He; Xiaowei Zhao; Xiaojuan Wang (IEEE Trans. Sustain. Comput., 2025)

ACE: A Static Android Malware Detection Method Based on Supervised Contrastive Learning. - Yuanming Huang; Mingshu He; Xiaojuan Wang; Jie Zhang 006; Shize Guo (IEEE Internet Things J., 2025)

A clustering-based approach for classifying data streams using graph matching. - Yuxin Du; Mingshu He; Xiaojuan Wang (J. Big Data, 2025)