Qingru Li

31 papers B 1C 1Journal 13Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analysis of bio-plausible spiking neural networks for motor imagery recognition tasks.
Biomed. Signal Process. Control.
Xiuqing Wang, Yunpeng Yang, Qingru Li, Xiaoya Ye, Yang An, Qiuting Li
2026 J jnl
Lightweight and robust multi-source domain generalization for classifying internet of things malware.
Appl. Soft Comput.
Fangwei Wang, Yanyan Li, Haibin Ma, Qingru Li, Changguang Wang, Yan Liu
2025 — conf
SRViT-MCNet: An IoT Malware Classification Model.
KSEM (5)
Changguang Wang, Hongxuan Wang, Xi Zhang, Qingru Li, Fangwei Wang
2025 J jnl
Self-supervised contrastive representation learning for classifying Internet of Things malware.
Eng. Appl. Artif. Intell.
Fangwei Wang, Yinhe Chen, Hongfeng Gao, Qingru Li, Changguang Wang
2025 J jnl
Steganography via image dehazing: a Swin Transformer-based dual-task network for statistically undetectable hidden communication.
J. Electronic Imaging
Qingru Li, Ruoyao Yang, Fangwei Wang, Changguang Wang, Xi Zhang
2024 — conf
Feature Augmented Meta-Learning on Domain Generalization for Evolving Malware Classification.
ICA3PP (2)
Fangwei Wang, Yinhe Chen, Ruixin Song, Qingru Li, Changguang Wang
2024 — conf
Graph Injection Attack Based on Node Similarity and Non-Linear Feature Injection Strategy.
SecureComm (4)
Qingru Li, Yanan Gao, Fangwei Wang, Changguang Wang, Kehinde O. Babaagba, Zhiyuan Tan
2024 — conf
High-Capacity Image Hiding via Compressible Invertible Neural Network.
ICA3PP (2)
Changguang Wang, Haoyi Shi, Qingru Li, Dongmei Zhao, Fangwei Wang
2024 J jnl
MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.
J. Inf. Secur. Appl.
Fangwei Wang, Xipeng Shi, Fang Yang, Ruixin Song, Qingru Li, Zhiyuan Tan, Changguang Wang
2024 J jnl
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.
IEEE Trans. Emerg. Top. Comput.
Fangwei Wang, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang
2024 — conf
RootES: A Method for Generating Text Adversarial Examples Using Root Embedding Space.
SecureComm (1)
Changguang Wang, Cong Wang, Qingru Li, Fangwei Wang
2024 — conf
SteDM: Efficient Image Steganography with Diffusion Models.
ICA3PP (6)
Changguang Wang, Haoyi Shi, Qingru Li, Dongmei Zhao, Fangwei Wang
2023 — conf
A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features.
NaNA
Fangwei Wang, Man Yan, Qingru Li, Changguang Wang
2023 — conf
A Probability Mapping-Based Privacy Preservation Method for Social Networks.
UbiSec
Qingru Li, Yahong Wang, Fangwei Wang, Zhiyuan Tan, Changguang Wang
2023 — conf
An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network.
ICA3PP (3)
Qingru Li, Yufei Zhang, Fangwei Wang, Changguang Wang
2023 — conf
Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems.
ICA3PP (5)
Fangwei Wang, Ruixin Song, Qingru Li, Changguang Wang
2023 B conf
Self-attention is What You Need to Fool a Speaker Recognition System.
TrustCom
Fangwei Wang, Ruixin Song, Zhiyuan Tan, Qingru Li, Changguang Wang, Yong Yang
2022 — conf
A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method.
DSC
Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang, Yonglei Bai
2022 C conf
A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism.
ICA3PP
Qingru Li, Xinru Wang, Fangwei Wang, Changguang Wang
2022 J jnl
An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection.
Symmetry
Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang
2022 J jnl
Do Listed Companies' Technological Innovations Make Institutional Investors' "Group Holdings" More Favorable?: Based on Network-Clustering.
J. Organ. End User Comput.
Jia Liu, Qingru Li, Chunyan Lin
2022 — conf
Network Security Situation Prediction Implemented by Attention and BiLSTM.
NaNA
Dongmei Zhao, Yaxing Wu, Qingru Li
2022 J jnl
Toward machine intelligence that learns to fingerprint polymorphic worms in IoT.
Int. J. Intell. Syst.
Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan
2021 J jnl
A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet.
Secur. Commun. Networks
Changguang Wang, Ziqiu Zhao, Fangwei Wang, Qingru Li
2021 J jnl
An internet of things malware classification method based on mixture of experts neural network.
Trans. Emerg. Telecommun. Technol.
Fangwei Wang, Shaojie Yang, Qingru Li, Changguang Wang
2021 J jnl
Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection.
Wirel. Commun. Mob. Comput.
Fangwei Wang, Yuanyuan Lu, Changguang Wang, Qingru Li
2020 — conf
A Feature-Based Detection System of Adversarial Sample Attack.
ML4CS (2)
Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang
2020 J jnl
A Framework for Predicting Network Security Situation Based on the Improved LSTM.
EAI Endorsed Trans. Collab. Comput.
Shixuan Li, Dongmei Zhao, Qingru Li
2020 — conf
A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning.
ML4CS (1)
Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li
2020 — conf
MagNet with Randomization Defense against Adversarial Examples.
NaNA
Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang
2017 — conf
An Intrusion Detection System Based on Polynomial Feature Correlation Analysis.
TrustCom/BigDataSE/ICESS
Qingru Li, Zhiyuan Tan, Aruna Jamdagni, Priyadarsi Nanda, Xiangjian He, Wei Han