Worm Propagation Modeling and Analysis on Network. - Yunkai Zhang 001; Fangwei Wang; Changguang Wang; Jianfeng Ma 001 (CIS (2), 2005)

Modeling Malicious Code Spread in Scale-Free Networks of Moving Agents. - Changguang Wang; Xu Bai; Shuai Fu; Jianfeng Ma 001 (CSSE (3), 2008)

Predators Combat Good Point Set Scanning-Based Self-Learning Worms. - Fangwei Wang; Yunkai Zhang 001; Changguang Wang; Jianfeng Ma 001 (CIS (1), 2009)

Risk Perception in Modeling Malware Propagation in Networks. - Changguang Wang; Shuai Fu; Xu Bai; Li-jing Bai (CSIE (3), 2009)

Image Watermarking Based on an Improved Subsampling Framework. - Zhicheng Wei; Puping Zhang; Changguang Wang (CSIE (7), 2009)

Combating self-learning worms by using predators. - Fangwei Wang; Yunkai Zhang 001; Honggang Guo; Changguang Wang (WCNIS, 2010)

Stability analysis of a SEIQV epidemic model for rapid spreading worms. - Fangwei Wang; Yunkai Zhang 001; Changguang Wang; Jianfeng Ma 001; Sang-Jae Moon (Comput. Secur., 2010)

The Research of Security Technology in the Internet of Things. - Xiangyu Sun; Changguang Wang (CSISE (2), 2011)

Energy-Balanced Separating Algorithm for Cluster-Based Data Aggregation in Wireless Sensor Networks. - Shuai Fu; Jianfeng Ma 001; Hongtao Li; Changguang Wang (Int. J. Distributed Sens. Networks, 2013)

Combating Good Point Set Scanning-based Self-learning Worms by Using Predators. - Fangwei Wang; Yunkai Zhang 001; Honggang Guo; Changguang Wang (Int. J. Netw. Secur., 2013)

Stability analysis of an e-SEIAR model with point-to-group worm propagation. - Fangwei Wang; Yunkai Zhang 001; Changguang Wang; Jianfeng Ma 001 (Commun. Nonlinear Sci. Numer. Simul., 2015)

An Improved Algorithm of Node Credibility Management for Lightweight WSN. - Liye Peng; Fangwei Wang; Changguang Wang (NaNA, 2016)

Analysis of an SEIVR Epidemic Model with Partial Immunization and Nonlinear Infection Rate. - Fangwei Wang; Changguang Wang; Dongmei Zhao; Yunkai Zhang 001 (NaNA, 2016)

Stability Analysis of a Worm Propagation Model with Quarantine and Vaccination. - Fangwei Wang; Fang Yang; Changguang Wang; Dongmei Zhao; Yunkai Zhang 001 (Int. J. Netw. Secur., 2016)

Analysis of SVEIR worm attack model with saturated incidence and partial immunization. - Fangwei Wang; Wen-Yan Huang; Yulong Shen; Changguang Wang (J. Commun. Inf. Networks, 2016)

An SVEIR Defending Model with Partial Immunization for Worms. - Fangwei Wang; Hongfeng Gao; Yong Yang; Changguang Wang (Int. J. Netw. Secur., 2017)

An Automatic Signature-Based Approach for Polymorphic Worms in Big Data Environment. - Fangwei Wang; Shaojie Yang; Dongmei Zhao; Changguang Wang (NaNA, 2019)

Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism. - Xing Wei 002; Shaofan Liu; Changguang Wang; Yaoci Xiang; Xuanyuan Qiao; Zhangling Duan; Chong Zhao; Yang Lu 015 (3DV, 2020)

A Feature-Based Detection System of Adversarial Sample Attack. - Fangwei Wang; Yuanyuan Lu; Qingru Li; Changguang Wang (ML4CS (2), 2020)

A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning. - Fangwei Wang; Shaojie Yang; Changguang Wang; Qingru Li (ML4CS (1), 2020)

MagNet with Randomization Defense against Adversarial Examples. - Fangwei Wang; Guofang Chai; Qingru Li; Changguang Wang (NaNA, 2020)

Non-pre-trained Mine Pedestrian Detection Based on Automatic Generation of Anchor Box. - Xing Wei 002; Changguang Wang; Haitao Zhang; Shaofan Liu; Yang Lu 015 (WASA (2), 2020)

A Novel Identity-based Authentication Scheme for IoV Security. - Changguang Wang; Zimeng Dai; Dongmei Zhao; Fangwei Wang (Int. J. Netw. Secur., 2020)

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)

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)

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)

An Improved K -Means Clustering Intrusion Detection Algorithm for Wireless Networks Based on Federated Learning. - Bin Xie; Xinyu Dong; Changguang Wang (Wirel. Commun. Mob. Comput., 2021)

A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method. - Fangwei Wang; Yuanyuan Lu; Qingru Li; Changguang Wang; Yonglei Bai (DSC, 2022)

A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism. - Qingru Li; Xinru Wang; Fangwei Wang; Changguang Wang (ICA3PP, 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 001 (Int. J. Intell. Syst., 2022)

An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection. - Fangwei Wang; Guofang Chai; Qingru Li; Changguang Wang (Symmetry, 2022)

An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network. - Qingru Li; Yufei Zhang 009; Fangwei Wang; Changguang Wang (ICA3PP (3), 2023)

Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems. - Fangwei Wang; Ruixin Song; Qingru Li; Changguang Wang (ICA3PP (5), 2023)

A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features. - Fangwei Wang; Man Yan; Qingru Li; Changguang Wang (NaNA, 2023)

Self-attention is What You Need to Fool a Speaker Recognition System. - Fangwei Wang; Ruixin Song; Zhiyuan Tan 001; Qingru Li; Changguang Wang; Yong Yang (TrustCom, 2023)

A Probability Mapping-Based Privacy Preservation Method for Social Networks. - Qingru Li; Yahong Wang; Fangwei Wang; Zhiyuan Tan 001; Changguang Wang (UbiSec, 2023)

Feature Augmented Meta-Learning on Domain Generalization for Evolving Malware Classification. - Fangwei Wang; Yinhe Chen; Ruixin Song; Qingru Li; Changguang Wang (ICA3PP (2), 2024)

High-Capacity Image Hiding via Compressible Invertible Neural Network. - Changguang Wang; Haoyi Shi; Qingru Li; Dongmei Zhao; Fangwei Wang (ICA3PP (2), 2024)

SteDM: Efficient Image Steganography with Diffusion Models. - Changguang Wang; Haoyi Shi; Qingru Li; Dongmei Zhao; Fangwei Wang (ICA3PP (6), 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 001; Changguang Wang (J. Inf. Secur. Appl., 2024)

Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. - Fangwei Wang; Meiyun Xie; Zhiyuan Tan 001; Qingru Li; Changguang Wang (IEEE Trans. Emerg. Top. Comput., 2024)

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)

FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things. - Fangwei Wang; Jiashuai Huo; Wei Wang; Xi Zhang; Yan Liu 014; Zhiyuan Tan 001; Changguang Wang (IEEE Internet Things J., 2025)