Qingru Li

According to our database, Qingru Li authored at least 31 papers between 2017 and 2026.

Collaborative distances:

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

2026

Analysis of bio-plausible spiking neural networks for motor imagery recognition tasks.

Xiuqing Wang, Yunpeng Yang, Qingru Li, Xiaoya Ye, Yang An, Qiuting Li

Biomed. Signal Process. Control., 2026

Lightweight and robust multi-source domain generalization for classifying internet of things malware.

Fangwei Wang, Yanyan Li, Haibin Ma, Qingru Li, Changguang Wang, Yan Liu

Appl. Soft Comput., 2026

2025

Steganography via image dehazing: a Swin Transformer-based dual-task network for statistically undetectable hidden communication.

Qingru Li, Ruoyao Yang, Fangwei Wang, Changguang Wang, Xi Zhang

J. Electronic Imaging, 2025

Self-supervised contrastive representation learning for classifying Internet of Things malware.

Fangwei Wang, Yinhe Chen, Hongfeng Gao, Qingru Li, Changguang Wang

Eng. Appl. Artif. Intell., 2025

SRViT-MCNet: An IoT Malware Classification Model.

Changguang Wang, Hongxuan Wang, Xi Zhang, Qingru Li, Fangwei Wang

Proceedings of the Knowledge Science, Engineering and Management, 2025

2024

Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.

Fangwei Wang, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang

IEEE Trans. Emerg. Top. Comput., 2024

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.

Fangwei Wang, Xipeng Shi, Fang Yang, Ruixin Song, Qingru Li, Zhiyuan Tan, Changguang Wang

J. Inf. Secur. Appl., 2024

RootES: A Method for Generating Text Adversarial Examples Using Root Embedding Space.

Changguang Wang, Cong Wang, Qingru Li, Fangwei Wang

Proceedings of the Security and Privacy in Communication Networks, 2024

Graph Injection Attack Based on Node Similarity and Non-Linear Feature Injection Strategy.

Qingru Li, Yanan Gao, Fangwei Wang, Changguang Wang, Kehinde O. Babaagba, Zhiyuan Tan

Proceedings of the Security and Privacy in Communication Networks, 2024

SteDM: Efficient Image Steganography with Diffusion Models.

Changguang Wang, Haoyi Shi, Qingru Li, Dongmei Zhao, Fangwei Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

High-Capacity Image Hiding via Compressible Invertible Neural Network.

Changguang Wang, Haoyi Shi, Qingru Li, Dongmei Zhao, Fangwei Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Feature Augmented Meta-Learning on Domain Generalization for Evolving Malware Classification.

Fangwei Wang, Yinhe Chen, Ruixin Song, Qingru Li, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

2023

A Probability Mapping-Based Privacy Preservation Method for Social Networks.

Qingru Li, Yahong Wang, Fangwei Wang, Zhiyuan Tan, Changguang Wang

Proceedings of the Ubiquitous Security, 2023

Self-attention is What You Need to Fool a Speaker Recognition System.

Fangwei Wang, Ruixin Song, Zhiyuan Tan, Qingru Li, Changguang Wang, Yong Yang

Proceedings of the 22nd IEEE International Conference on Trust, 2023

A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features.

Fangwei Wang, Man Yan, Qingru Li, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2023

Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems.

Fangwei Wang, Ruixin Song, Qingru Li, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network.

Qingru Li, Yufei Zhang, Fangwei Wang, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection.

Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang

Symmetry, 2022

Do Listed Companies' Technological Innovations Make Institutional Investors' "Group Holdings" More Favorable?: Based on Network-Clustering.

Jia Liu, Qingru Li, Chunyan Lin

J. Organ. End User Comput., 2022

Toward machine intelligence that learns to fingerprint polymorphic worms in IoT.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan

Int. J. Intell. Syst., 2022

Network Security Situation Prediction Implemented by Attention and BiLSTM.

Dongmei Zhao, Yaxing Wu, Qingru Li

Proceedings of the International Conference on Networking and Network Applications, 2022

A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism.

Qingru Li, Xinru Wang, Fangwei Wang, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method.

Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang, Yonglei Bai

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021

Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection.

Fangwei Wang, Yuanyuan Lu, Changguang Wang, Qingru Li

Wirel. Commun. Mob. Comput., 2021

A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet.

Changguang Wang, Ziqiu Zhao, Fangwei Wang, Qingru Li

Secur. Commun. Networks, 2021

An internet of things malware classification method based on mixture of experts neural network.

Fangwei Wang, Shaojie Yang, Qingru Li, Changguang Wang

Trans. Emerg. Telecommun. Technol., 2021

2020

A Framework for Predicting Network Security Situation Based on the Improved LSTM.

Shixuan Li, Dongmei Zhao, Qingru Li

EAI Endorsed Trans. Collab. Comput., 2020

MagNet with Randomization Defense against Adversarial Examples.

Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2020

A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

A Feature-Based Detection System of Adversarial Sample Attack.

Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2017

An Intrusion Detection System Based on Polynomial Feature Correlation Analysis.

Qingru Li, Zhiyuan Tan, Aruna Jamdagni, Priyadarsi Nanda, Xiangjian He, Wei Han

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017