An epidemic model of computer viruses with vaccination and generalized nonlinear incidence rate. - Chenquan Gan; Xiaofan Yang; Wanping Liu; Qingyi Zhu; Xulong Zhang 002 (Appl. Math. Comput., 2013)

Epidemics of computer viruses: A complex-network approach. - Luxing Yang; Xiaofan Yang; Jiming Liu 001; Qingyi Zhu; Chenquan Gan (Appl. Math. Comput., 2013)

A propagation model of computer virus with nonlinear vaccination probability. - Chenquan Gan; Xiaofan Yang; Wanping Liu; Qingyi Zhu (Commun. Nonlinear Sci. Numer. Simul., 2014)

Propagation of computer virus both across the Internet and external computers: A complex-network approach. - Chenquan Gan; Xiaofan Yang; Wanping Liu; Qingyi Zhu; Jian Jin; Li He (Commun. Nonlinear Sci. Numer. Simul., 2014)

The combined impact of external computers and network topology on the spread of computer viruses. - Chenquan Gan; Xiaofan Yang; Qingyi Zhu; Jian Jin (Int. J. Comput. Math., 2014)

Theoretical and experimental analysis of the impacts of removable storage media and antivirus software on viral spread. - Chenquan Gan; Xiaofan Yang (Commun. Nonlinear Sci. Numer. Simul., 2015)

A Data Fusion Scheme for Wireless Sensor Networks Using Clustering and Prediction. - Xiulan Yu; Hongyu Li; Chenquan Gan; Zufan Zhang (CSPS (1), 2018)

Improved Performance of CDL Algorithm Using DDELM-AE and AK-SVD. - Xiulan Yu; Junwei Mao; Chenquan Gan; Zufan Zhang (CSPS (2), 2018)

Multimodality Fusion for Node Classification in D2D Communications. - Zu-Fan Zhang; Xieliang Li; Chenquan Gan (IEEE Access, 2018)

The optimally designed dynamic memory networks for targeted sentiment classification. - Zu-Fan Zhang; Lu Wang; Yang Zou; Chenquan Gan (Neurocomputing, 2018)

Textual sentiment analysis via three different attention convolutional neural networks and cross-modality consistent regression. - Zu-Fan Zhang; Yang Zou; Chenquan Gan (Neurocomputing, 2018)

The Vehicle-to-Vehicle Link Duration Scheme Using Platoon-Optimized Clustering Algorithm. - Zufan Zhang; Kun Xu; Chenquan Gan (IEEE Access, 2019)

A double auction scheme of resource allocation with social ties and sentiment classification for Device-to-Device communications. - Zufan Zhang; Zhangyi Wang; Chenquan Gan; Porui Zhang (Comput. Networks, 2019)

The optimally designed autoencoder network for compressed sensing. - Zufan Zhang; Yunfeng Wu; Chenquan Gan; Qingyi Zhu (EURASIP J. Image Video Process., 2019)

The Optimally Designed Variational Autoencoder Networks for Clustering and Recovery of Incomplete Multimedia Data. - Xiulan Yu; Hongyu Li; Zufan Zhang; Chenquan Gan (Sensors, 2019)

Automatic Modulation Classification Using Convolutional Neural Network With Features Fusion of SPWVD and BJD. - Zufan Zhang; Chun Wang; Chenquan Gan; Shaohui Sun; Mengjun Wang (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Dynamical Propagation Model of Malware for Cloud Computing Security. - Chenquan Gan; Qingdong Feng; Xulong Zhang 002; Zufan Zhang; Qingyi Zhu (IEEE Access, 2020)

A Two-Branch Convolution Residual Network for Image Compressive Sensing. - Chenquan Gan; Xiaoqin Yan; Yunfeng Wu; Zufan Zhang (IEEE Access, 2020)

Multi-entity sentiment analysis using self-attention based hierarchical dilated convolutional neural network. - Chenquan Gan; Lu Wang; Zufan Zhang (Future Gener. Comput. Syst., 2020)

Massive MIMO CSI reconstruction using CNN-LSTM and attention mechanism. - Zufan Zhang; Yue Zheng; Chenquan Gan; Qingyi Zhu (IET Commun., 2020)

A tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction. - Chenquan Gan; Junwei Mao; Zufan Zhang; Qingyi Zhu (Int. J. Distributed Sens. Networks, 2020)

Human action recognition using convolutional LSTM and fully-connected LSTM with different attentions. - Zufan Zhang; Zongming Lv; Chenquan Gan; Qingyi Zhu (Neurocomputing, 2020)

Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis. - Chenquan Gan; Lu Wang; Zufan Zhang; Zhangyi Wang (Knowl. Based Syst., 2020)

Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure. - Zufan Zhang; Hao Luo; Chun Wang; Chenquan Gan; Yong Xiang 001 (IEEE Trans. Veh. Technol., 2020)

Identifying influential nodes in social networks via community structure and influence distribution difference. - Zufan Zhang; Xieliang Li; Chenquan Gan (Digit. Commun. Networks, 2021)

Scalable multi-channel dilated CNN-BiLSTM model with attention mechanism for Chinese textual sentiment analysis. - Chenquan Gan; Qingdong Feng; Zufan Zhang (Future Gener. Comput. Syst., 2021)

An iterative MPD-CNN structure for massive MIMO detection under correlated noise channels. - Zufan Zhang; Di Zhang; Xiaoqin Yan; Chenquan Gan; Qingyi Zhu (IET Commun., 2021)

LMFNet: Human Activity Recognition Using Attentive 3-D Residual Network and Multistage Fusion Strategy. - Zufan Zhang; Yucheng Yang; Zongming Lv; Chenquan Gan; Qingyi Zhu (IEEE Internet Things J., 2021)

Blockchain-based access control scheme with incentive mechanism for eHealth systems: patient as supervisor. - Chenquan Gan; Akanksha Saini; Qingyi Zhu; Yong Xiang 001; Zufan Zhang (Multim. Tools Appl., 2021)

Reemergence Modeling of Intelligent Information Diffusion in Heterogeneous Social Networks: The Dynamics Perspective. - Yinxue Yi; Zufan Zhang; Laurence T. Yang; Chenquan Gan; Xianjun Deng; Lingzhi Yi (IEEE Trans. Netw. Sci. Eng., 2021)

Search-driven virus spreading on Social Internet of Things: A dynamical perspective. - Chenquan Gan; Yi Qian; Anqi Liu; Qingyi Zhu (Commun. Nonlinear Sci. Numer. Simul., 2022)

DHF-Net: A hierarchical feature interactive fusion network for dialogue emotion recognition. - Chenquan Gan; Yucheng Yang; Qingyi Zhu; Deepak Kumar Jain 001; Vitomir Struc (Expert Syst. Appl., 2022)

Edge-aided control dynamics for information diffusion in social Internet of Things. - Yinxue Yi; Zufan Zhang; Laurence T. Yang; Xiaokang Wang 001; Chenquan Gan (Neurocomputing, 2022)

Facial expression recognition using densely connected convolutional neural network and hierarchical spatial attention. - Chenquan Gan; Junhao Xiao; Zhangyi Wang; Zufan Zhang; Qingyi Zhu (Image Vis. Comput., 2022)

Dynamical Behavior of Hybrid Propagation of Computer Viruses. - Qingyi Zhu; Pingfan Xiang; Xuhang Luo; Chenquan Gan (Secur. Commun. Networks, 2022)

Blockchain-enabled Federated Learning: A Survey. - Youyang Qu; Md. Palash Uddin; Chenquan Gan; Yong Xiang 001; Longxiang Gao; John Yearwood (ACM Comput. Surv., 2023)

Multi-Label Speech Emotion Recognition via Inter-Class Difference Loss Under Response Residual Network. - Xiaoke Li; Zufan Zhang; Chenquan Gan; Yong Xiang 001 (IEEE Trans. Multim., 2023)

Separable 3D residual attention network for human action recognition. - Zufan Zhang; Yue Peng; Chenquan Gan; Andrea Francesco Abate; Lianxiang Zhu (Multim. Tools Appl., 2023)

An industrial virus propagation model based on SCADA system. - Qingyi Zhu; Gang Zhang; Xuhang Luo; Chenquan Gan (Inf. Sci., 2023)

Microblog sentiment analysis via user representative relationship under multi-interaction hybrid neural networks. - Chenquan Gan; Xiaopeng Cao; Qingyi Zhu (Multim. Syst., 2023)

HCSC: A Hierarchical Certificate Service Chain Based on Reputation for VANETs. - Qingyi Zhu; Ankui Jing; Chenquan Gan; Xinwei Guan; Yuze Qin (IEEE Trans. Intell. Transp. Syst., 2023)

CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network. - Junhao Xiao; Chenquan Gan; Qingyi Zhu; Ye Zhu 002; Gang Liu 021 (Appl. Soft Comput., 2023)

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes. - Deepak Kumar Jain 001; Xudong Zhao; Germán González-Almagro; Chenquan Gan; Ketan Kotecha (Inf. Fusion, 2023)

Speech emotion recognition via multiple fusion under spatial-temporal parallel network. - Chenquan Gan; Kexin Wang; Qingyi Zhu; Yong Xiang 001; Deepak Kumar Jain 001; Salvador García 001 (Neurocomputing, 2023)

An encrypted medical blockchain data search method with access control mechanism. - Chenquan Gan; Hongpeng Yang; Qingyi Zhu; Yiye Zhang; Akanksha Saini (Inf. Process. Manag., 2023)

Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications. - Chenquan Gan; Anqi Liu; Qingyi Zhu; Ye Zhu 002; Yong Xiang 001; Jun Liu (Comput. Networks, 2023)

The deep spatiotemporal network with dual-flow fusion for video-oriented facial expression recognition. - Chenquan Gan; Jinhui Yao; Shuaiying Ma; Zufan Zhang; Lianxiang Zhu (Digit. Commun. Networks, 2023)

Analysis of Computer Virus Propagation in Social Internet of Things. - Luis Martes Calderon; Chenquan Gan; Jiabin Lin; Wei Yang 006; Deepak Kumar Jain 001 (ADMA (1), 2024)

RSAFormer: A method of polyp segmentation with region self-attention transformer. - Xuehui Yin; Jun Zeng 007; Tianxiao Hou; Chao Tang; Chenquan Gan; Deepak Kumar Jain 001; Salvador García 001 (Comput. Biol. Medicine, 2024)

Malware containment with immediate response in IoT networks: An optimal control approach. - Mousa Tayseer Jafar; Lu-Xing Yang; Gang Li 009; Qingyi Zhu; Chenquan Gan; Xiaofan Yang (Comput. Commun., 2024)

Impact of cybersecurity awareness on mobile malware propagation: A dynamical model. - Qingyi Zhu; Xuhang Luo; Yuhang Liu; Chenquan Gan; Yu Wu 001; Lu-Xing Yang (Comput. Commun., 2024)

A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis. - Chenquan Gan; Xiang Fu; Qingdong Feng; Qingyi Zhu; Yang Cao 019; Ye Zhu 002 (Expert Syst. Appl., 2024)

Fusion-driven deep feature network for enhanced object detection and tracking in video surveillance systems. - Deepak Kumar Jain 001; Xudong Zhao; Chenquan Gan; Piyush Kumar Shukla; Amar Jain; Sourabh Sharma (Inf. Fusion, 2024)

Correlation filter based single object tracking: A review. - Ashish Kumar 009; Rubeena Vohra; Rachna Jain; Muyu Li; Chenquan Gan; Deepak Kumar Jain 001 (Inf. Fusion, 2024)

Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation. - Chenquan Gan; Yu Tang; Xiang Fu; Qingyi Zhu; Deepak Kumar Jain 001; Salvador García 001 (Knowl. Based Syst., 2024)

Transfer-learning enabled micro-expression recognition using dense connections and mixed attention. - Chenquan Gan; Junhao Xiao; Qingyi Zhu; Deepak Kumar Jain 001; Vitomir Struc (Knowl. Based Syst., 2024)

A survey of dialogic emotion analysis: Developments, approaches and perspectives. - Chenquan Gan; Jiahao Zheng 007; Qingyi Zhu; Yang Cao 019; Ye Zhu 002 (Pattern Recognit., 2024)

Cost-Effective Hybrid Control Strategies for Dynamical Propaganda War Game. - Xiaojuan Cheng; Lu-Xing Yang; Qingyi Zhu; Chenquan Gan; Xiaofan Yang; Gang Li 009 (IEEE Trans. Inf. Forensics Secur., 2024)

Minimizing Malware Propagation in Internet of Things Networks: An Optimal Control Using Feedback Loop Approach. - Mousa Tayseer Jafar; Lu-Xing Yang; Gang Li 009; Qingyi Zhu; Chenquan Gan (IEEE Trans. Inf. Forensics Secur., 2024)

Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance. - Chenquan Gan; Xiaopeng Cao; Qingyi Zhu; Deepak Kumar Jain 001; Salvador García 001 (Appl. Intell., 2024)

Equipment classification based differential game method for advanced persistent threats in Industrial Internet of Things. - Chenquan Gan; Jiabin Lin; Da-Wen Huang; Qingyi Zhu; Liang Tian; Deepak Kumar Jain 001 (Expert Syst. Appl., 2024)

A graph neural network with context filtering and feature correction for conversational emotion recognition. - Chenquan Gan; Jiahao Zheng 007; Qingyi Zhu; Deepak Kumar Jain 001; Vitomir Struc (Inf. Sci., 2024)

Analysis of attack-defense game for advanced malware propagation control in cloud. - Liang Tian; Chenquan Gan; Jiabin Lin; Fengjun Shang; Qingyi Zhu (Comput. Commun., 2025)

Advances in DeepFake detection algorithms: Exploring fusion techniques in single and multi-modal approach. - Ashish Kumar 009; Divya Singh; Rachna Jain; Deepak Kumar Jain 001; Chenquan Gan; Xudong Zhao (Inf. Fusion, 2025)

Timeliness-aware rumor sources identification in community-structured dynamic online social networks. - Da-Wen Huang; Wenjie Wu; Jichao Bi; Junli Li; Chenquan Gan; Wei Zhou (Inf. Sci., 2025)

An asynchronous federated learning-assisted data sharing method for medical blockchain. - Chenquan Gan; Xinghai Xiao; Yiye Zhang; Qingyi Zhu; Jichao Bi; Deepak Kumar Jain 001; Akanksha Saini (Appl. Intell., 2025)

Federated learning-driven dual blockchain for data sharing and reputation management in Internet of medical things. - Chenquan Gan; Xinghai Xiao; Qingyi Zhu; Deepak Kumar Jain 001; Akanksha Saini; Amir Hussain 001 (Expert Syst. J. Knowl. Eng., 2025)

Hybrid Rumor Debunking in Online Social Networks: A Differential Game Approach. - Chenquan Gan; Wei Yang 006; Qingyi Zhu; Meng Li; Deepak Kumar 008; Vitomir Struc; Da-Wen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2025)