Network Anomaly Detection Using Time Series Analysis. - Qingtao Wu; Zhiqing Shao (ICAS/ICNS, 2005)

Mitigating distributed denial-of-service attacks using network connection control charts. - Qingtao Wu; Haichao Zhang; Jiexin Pu (Infoscale, 2007)

Analysis and Application of Bio-Inspired Multi-Net Security Model. - Ruijuan Zheng; Qingtao Wu; Mingchuan Zhang (NCM (1), 2008)

A Service Self-Optimization Algorithm based on Autonomic Computing. - Ruijuan Zheng; Mingchuan Zhang; Qingtao Wu; Guanfeng Li; Wangyang Wei (GrC, 2009)

A System Service Optimization Model Based on Martingale Difference Approximation. - Ruijuan Zheng; Meiyu Xu; Jiexin Pu; Qingtao Wu (NCM, 2009)

Analysis and application of Bio-Inspired Multi-Net Security Model. - Ruijuan Zheng; Mingchuan Zhang; Qingtao Wu; Shibao Sun; Jiexin Pu (Int. J. Inf. Sec., 2010)

VPRS-Based Knowledge Discovery Approach in Incomplete Information System. - Shibao Sun; Ruijuan Zheng; Qingtao Wu; Tianrui Li 001 (J. Comput., 2010)

Evaluation of Network Connection Credibility based on Neural Network. - Qingtao Wu; Xintong Yang; Bin Hua; Ruijuan Zheng (J. Comput., 2011)

A Component Assembly Approach to Support Human-computer Interface Construction. - Qingtao Wu; Mingchuan Zhang; Ruijuan Zheng; Wangyang Wei (J. Softw., 2011)

Research on Grade Optimization Self-tuning Method for System Dependability Based on Autonomic Computing. - Mingchuan Zhang; Qingtao Wu; Ruijuan Zheng; Wangyang Wei; Guanfeng Li (J. Comput., 2012)

A Novel Multi-x Cooperative Decision-making Mechanism for Cognitive Internet of Things. - Mingchuan Zhang; Ruijuan Zheng; Qingtao Wu; Wangyang Wei (J. Networks, 2012)

P-iRP: Physarum-Inspired Routing Protocol for Wireless Sensor Networks. - Mingchuan Zhang; Changqiao Xu; Jianfeng Guan; Ruijuan Zheng; Qingtao Wu; Hongke Zhang (VTC Fall, 2013)

A Novel Physarum-Inspired Routing Protocol for Wireless Sensor Networks. - Mingchuan Zhang; Changqiao Xu; Jianfeng Guan; Ruijuan Zheng; Qingtao Wu; Hongke Zhang (Int. J. Distributed Sens. Networks, 2013)

A QoS-satisfied Prediction Model for Cloud-service Composition Based on Hidden Markov Model. - Qingtao Wu; Mingchuan Zhang; Ruijuan Zheng; Wangyang Wei (Int. J. Online Eng., 2013)

Probability-Symmetric Storage Allocation for Distributed Storage Systems Based on Network Coding. - Qingtao Wu; Xulong Zhang 001; Ruijuan Zheng; Mingchuan Zhang (Int. J. Online Biomed. Eng., 2013)

The Future Internet: Towards Convergence of Cognition, Cooperation, Cross-layer, Virtualization and Cloud-computing. - Ruijuan Zheng; Mingchuan Zhang; Qingtao Wu; Wangyang Wei; Guanfeng Li (J. Comput., 2013)

A smart hybrid routing protocol supporting multimedia delivery over mobile ad hoc networks. - Mingchuan Zhang; Changqiao Xu; Jianfeng Guan; Qingtao Wu; Ruijuan Zheng; Hongke Zhang (IWCMC, 2014)

B-iTRF: A novel bio-inspired trusted routing framework for wireless sensor networks. - Mingchuan Zhang; Changqiao Xu; Jianfeng Guan; Qingtao Wu; Ruijuan Zheng; Hongke Zhang (WCNC, 2014)

A Novel Bio-inspired Trusted Routing Protocol for Mobile Wireless Sensor Networks. - Mingchuan Zhang; Changqiao Xu; Jianfeng Guan; Ruijuan Zheng; Qingtao Wu; Hongke Zhang (KSII Trans. Internet Inf. Syst., 2014)

A Cloud Service Resource Classification Strategy Based on Feature Similarity. - Qingtao Wu; Min Cui; Mingchuan Zhang; Ruijuan Zheng; Ying Lou (J. Networks, 2014)

Network Security Situation Evaluation Strategy Based on Cloud Gravity Center Judgment. - Ruijuan Zheng; Wangyang Wei; Mingchuan Zhang; Qingtao Wu; Dan Zhang (J. Networks, 2014)

B-iTRS: A Bio-Inspired Trusted Routing Scheme for Wireless Sensor Networks. - Mingchuan Zhang; Ruijuan Zheng; Qingtao Wu; Wangyang Wei; Xiuling Bai; Haixia Zhao (J. Sensors, 2015)

R-bUCRP: A Novel Reputation-Based Uneven Clustering Routing Protocol for Cognitive Wireless Sensor Networks. - Mingchuan Zhang; Ruijuan Zheng; Ying Li; Qingtao Wu; Liang Song (J. Sensors, 2016)

Multiscale Sampling Based Texture Image Classification. - Yongsheng Dong; Jinwang Feng; Lingfei Liang; Lintao Zheng; Qingtao Wu (IEEE Signal Process. Lett., 2017)

An Anomaly Recognition and Autonomic Optimization Method to User's Sequence Behaviors for D2D Communications in MCC. - Ruijuan Zheng; Junlong Zhu; Mingchuan Zhang; Qingtao Wu; Ruoshui Liu; Kang Liu 018; Jing Chen (IEEE Access, 2018)

Stochastic Block-Coordinate Gradient Projection Algorithms for Submodular Maximization. - Zhigang Li; Mingchuan Zhang; Junlong Zhu; Ruijuan Zheng; Qikun Zhang; Qingtao Wu (Complex., 2018)

Smart perception and autonomic optimization: A novel bio-inspired hybrid routing protocol for MANETs. - Mingchuan Zhang; Meiyi Yang; Qingtao Wu; Ruijuan Zheng; Junlong Zhu (Future Gener. Comput. Syst., 2018)

A collaborative analysis method of user abnormal behavior based on reputation voting in cloud environment. - Ruijuan Zheng; Jing Chen; Mingchuan Zhang; Qingtao Wu; Junlong Zhu; Huiqiang Wang (Future Gener. Comput. Syst., 2018)

Method for detecting abnormal behaviour of users based on selective clustering ensemble. - Juan Du; Ping Xie; Junlong Zhu; Ruijuan Zheng; Qingtao Wu; Mingchuan Zhang (IET Networks, 2018)

On physical-layer security for primary system in underlay cognitive radio networks. - Ping Xie; Moli Zhang; Gaoyuan Zhang; Ruijuan Zheng; Ling Xing 001; Qingtao Wu (IET Networks, 2018)

Green city: An efficient task joint execution strategy for mobile micro-learning. - Li Yang; Ruijuan Zheng; Junlong Zhu; Mingchuan Zhang; Ruoshui Liu; Qingtao Wu (Int. J. Distributed Sens. Networks, 2018)

A Security Monitoring Method Based on Autonomic Computing for the Cloud Platform. - Jingjie Zhang; Qingtao Wu; Ruijuan Zheng; Junlong Zhu; Mingchuan Zhang; Ruoshui Liu (J. Electr. Comput. Eng., 2018)

SRAF: A Service-Aware Resource Allocation Framework for VM Management in Mobile Data Networks. - Kang Liu 018; Ruijuan Zheng; Mingchuan Zhang; Chao Han; Junlong Zhu; Qingtao Wu (Mob. Inf. Syst., 2018)

Dynamic multi-swarm differential learning particle swarm optimizer. - Yonggang Chen; Lixiang Li 001; Haipeng Peng; Jinghua Xiao; Qingtao Wu (Swarm Evol. Comput., 2018)

A Computing Offloading Game for Mobile Devices and Edge Cloud Servers. - Meiwen Li; Qingtao Wu; Junlong Zhu; Ruijuan Zheng; Mingchuan Zhang (Wirel. Commun. Mob. Comput., 2018)

A User Recognition Strategy Under Mobile Cloud Environment. - Ruijuan Zheng; Jing Chen; Kang Liu 018; Mingchuan Zhang; Junlong Zhu; Qingtao Wu; Huiqiang Wang (Wirel. Pers. Commun., 2018)

Safeguarding Against Active Routing Attack via Online Learning. - Meng Meng; Ruijuan Zheng; Mingchuan Zhang; Junlong Zhu; Qingtao Wu (ICA3PP (2), 2019)

Learned Bloom-Filter for an Efficient Name Lookup in Information-Centric Networking. - Qianyu Wang; Qingtao Wu; Mingchuan Zhang; Ruijuan Zheng; Junlong Zhu (WCNC, 2019)

A Rerouting Framework Against Routing Interruption for Secure Network Management. - Mengmeng He; Mingchuan Zhang; Xin Wang 087; Junlong Zhu; Ruxi Peng; Qingtao Wu (IEEE Access, 2019)

MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification. - Yangfan Zhou; Xin Wang 087; Mingchuan Zhang; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (IEEE Access, 2019)

Emotional component analysis and forecast public opinion on micro-blog posts based on maximum entropy model. - Mingchuan Zhang; Ruijuan Zheng; Jing Chen; Junlong Zhu; Ruoshui Liu; Shibao Sun; Qingtao Wu (Clust. Comput., 2019)

Stochastic resource scheduling via bilayer dynamic Markov decision process in mobile cloud networks. - Ruijuan Zheng; Kang Liu 018; Junlong Zhu; Mingchuan Zhang; Qingtao Wu (Comput. Commun., 2019)

Distributed Stochastic Subgradient Projection Algorithms Based on Weight-Balancing over Time-Varying Directed Graphs. - Junlong Zhu; Ping Xie; Mingchuan Zhang; Ruijuan Zheng; Ling Xing 001; Qingtao Wu (Complex., 2019)

Research on database watermarking based on Independent Component Analysis and multiple rolling. - Zaihui Cao; Ge Shi; Qingtao Wu (Int. J. Distributed Sens. Networks, 2019)

Sparse long short-term memory for information fusion in wireless sensor networks. - Yangfan Zhou; Mingchuan Zhang; Ping Xie; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (Int. J. Distributed Sens. Networks, 2019)

NCPP-based caching and NUR-based resource allocation for information-centric networking. - Mingchuan Zhang; Ping Xie; Junlong Zhu; Qingtao Wu; Ruijuan Zheng; Hongke Zhang (J. Ambient Intell. Humaniz. Comput., 2019)

Simplified hybrid fireworks algorithm. - Yonggang Chen; Lixiang Li 001; Xinchao Zhao; Jinghua Xiao; Qingtao Wu; Ying Tan 002 (Knowl. Based Syst., 2019)

ACCP: adaptive congestion control protocol in named data networking based on deep learning. - Tingting Liu; Mingchuan Zhang; Junlong Zhu; Ruijuan Zheng; Ruoshui Liu; Qingtao Wu (Neural Comput. Appl., 2019)

A Novel Construction of Constrained Verifiable Random Functions. - Muhua Liu; Ping Zhang 028; Qingtao Wu (Secur. Commun. Networks, 2019)

Multiscale Symmetric Dense Micro-Block Difference for Texture Classification. - Yongsheng Dong; Huangbin Wu; Xuelong Li 001; Chuanqi Zhou; Qingtao Wu (IEEE Trans. Circuits Syst. Video Technol., 2019)

A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective. - Ruijuan Zheng; Junlong Zhu; Mingchuan Zhang; Ruoshui Liu; Qingtao Wu; Li Yang (Wirel. Commun. Mob. Comput., 2019)

Completed Extremely Nonnegative DMD for Color Texture Classification. - Mingxin Jin; Yongsheng Dong; Mingchuan Zhang; Qingtao Wu; Lintao Zheng; Bin Song 007; Lei Zhang 134; Lin Wang 039 (IEEE Access, 2020)

Robust Manifold Embedding for Face Recognition. - Zhonghua Liu; Lingyun Xiang; Kaiming Shi; Kaibing Zhang; Qingtao Wu (IEEE Access, 2020)

Randomised block-coordinate Frank-Wolfe algorithm for distributed online learning over networks. - Jingchao Li; Qingtao Wu; Ruijuan Zheng; Junlong Zhu; Quanbo Ge; Mingchuan Zhang (Cogn. Comput. Syst., 2020)

A Distributed Conjugate Gradient Online Learning Method over Networks. - Cuixia Xu; Junlong Zhu; Youlin Shang; Qingtao Wu (Complex., 2020)

Profit-oriented cooperative caching algorithm for hierarchical content centric networking. - Meiyi Yang; Mingchuan Zhang; Junlong Zhu; Ruoshui Liu; Qingtao Wu; Ian J. Wassell (IET Commun., 2020)

Online Learning for IoT Optimization: A Frank-Wolfe Adam-Based Algorithm. - Mingchuan Zhang; Yangfan Zhou; Wei Quan 001; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (IEEE Internet Things J., 2020)

Smart collaborative video caching for energy efficiency in cognitive Content Centric Networks. - Mingchuan Zhang; Bowei Hao; Fei Song 001; Meiyi Yang; Junlong Zhu; Qingtao Wu (J. Netw. Comput. Appl., 2020)

ECRA: An Encounter-aware and Clustering-based Routing Algorithm for Information-centric VANETs. - Weina Zhang; Ruijuan Zheng; Mingchuan Zhang; Junlong Zhu; Qingtao Wu (Mob. Networks Appl., 2020)

A Randomized Block-Coordinate Adam online learning optimization algorithm. - Yangfan Zhou; Mingchuan Zhang; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (Neural Comput. Appl., 2020)

AFSndn: A novel adaptive forwarding strategy in named data networking based on Q-learning. - Mingchuan Zhang; Xin Wang 087; Tingting Liu; Junlong Zhu; Qingtao Wu (Peer-to-Peer Netw. Appl., 2020)

Safeguarding against prefix interception attacks via online learning. - Meng Meng; Ruijuan Zheng; Ruxi Peng; Junlong Zhu; Mingchuan Zhang; Qingtao Wu (Robotics Auton. Syst., 2020)

A randomized block policy gradient algorithm with differential privacy in Content Centric Networks. - Lin Wang 039; Xingang Xu; Xuhui Zhao; Baozhu Li; Ruijuan Zheng; Qingtao Wu (Int. J. Distributed Sens. Networks, 2021)

Domain-aware Stacked AutoEncoders for zero-shot learning. - Jianqiang Song; Guangming Shi; Xuemei Xie; Qingtao Wu; Mingchuan Zhang (Neurocomputing, 2021)

Synchronization of fractional-order spatiotemporal complex-valued neural networks in finite-time interval and its application. - Xiaona Song; Xiangliang Sun; Jingtao Man; Shuai Song; Qingtao Wu (J. Frankl. Inst., 2021)

Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks. - Junlong Zhu; Qingtao Wu; Mingchuan Zhang; Ruijuan Zheng; Keqin Li 001 (J. Mach. Learn. Res., 2021)

Flow control oriented forwarding and caching in cache-enabled networks. - Bingjie Wei; Lin Wang 039; Junlong Zhu; Mingchuan Zhang; Ling Xing 001; Qingtao Wu (J. Netw. Comput. Appl., 2021)

Learned Bloom-filter for the efficient name lookup in Information-Centric Networking. - Qingtao Wu; Qianyu Wang; Mingchuan Zhang; Ruijuan Zheng; Junlong Zhu; Jiankun Hu (J. Netw. Comput. Appl., 2021)

Stochastic Adaptive Forwarding Strategy Based on Deep Reinforcement Learning for Secure Mobile Video Communications in NDN. - Bowei Hao; Guoyong Wang; Mingchuan Zhang; Junlong Zhu; Ling Xing 001; Qingtao Wu (Secur. Commun. Networks, 2021)

Distributed Functional Signature with Function Privacy and Its Application. - Muhua Liu; Lin Wang 039; Qingtao Wu; Jianqiang Song (Secur. Commun. Networks, 2021)

A privacy-preserving decentralized randomized block-coordinate subgradient algorithm over time-varying networks. - Lin Wang 039; Mingchuan Zhang; Junlong Zhu; Ling Xing 001; Qingtao Wu (Expert Syst. Appl., 2022)

A non-asymptotic analysis of adaptive TD(λ) learning in wireless sensor networks. - Bing Li; Tao Li; Muhua Liu; Junlong Zhu; Mingchuan Zhang; Qingtao Wu (Int. J. Distributed Sens. Networks, 2022)

Robust sparse manifold discriminant analysis. - Jingjing Wang; Zhonghua Liu; Kaibing Zhang; Qingtao Wu; Mingchuan Zhang (Multim. Tools Appl., 2022)

Service placement strategy for joint network selection and resource scheduling in edge computing. - Junwei Xu; Ruijuan Zheng; Lei Yang; Muhua Liu; Jianqiang Song; Mingchuan Zhang; Qingtao Wu (J. Supercomput., 2022)

A computational resources scheduling algorithm in edge cloud computing: from the energy efficiency of users' perspective. - Jiaqi Zhang; Ruijuan Zheng; Xuhui Zhao; Junlong Zhu; Junwei Xu; Qingtao Wu (J. Supercomput., 2022)

Distributed Adaptive Subgradient Algorithms for Online Learning Over Time-Varying Networks. - Mingchuan Zhang; Bowei Hao; Quanbo Ge; Junlong Zhu; Ruijuan Zheng; Qingtao Wu (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Decentralized Randomized Block-Coordinate Frank-Wolfe Algorithms for Submodular Maximization Over Networks. - Mingchuan Zhang; Yangfan Zhou; Quanbo Ge; Ruijuan Zheng; Qingtao Wu (IEEE Trans. Syst. Man Cybern. Syst., 2022)

DP-RBAdaBound: A differentially private randomized block-coordinate adaptive gradient algorithm for training deep neural networks. - Qingtao Wu; Meiwen Li; Junlong Zhu; Ruijuan Zheng; Ling Xing 001; Mingchuan Zhang (Expert Syst. Appl., 2023)

Event-Triggered Fuzzy Adaptive Fixed-Time Output-Feedback Control for Nonlinear Systems With Multiple Objective Constraints. - Xiaona Song; Peng Sun; Shuai Song; Qingtao Wu; Junwei Lu (Int. J. Fuzzy Syst., 2023)

Decentralized multi-task reinforcement learning policy gradient method with momentum over networks. - Shi Junru; Wang Qiong; Muhua Liu; Zhihang Ji; Ruijuan Zheng; Qingtao Wu (Appl. Intell., 2023)

FedADT: An Adaptive Method Based on Derivative Term for Federated Learning. - Huimin Gao; Qingtao Wu; Xuhui Zhao; Junlong Zhu; Mingchuan Zhang (Sensors, 2023)

Provable distributed adaptive temporal-difference learning over time-varying networks. - Junlong Zhu; Bing Li; Lin Wang 039; Mingchuan Zhang; Ling Xing 001; Jiangtao Xi; Qingtao Wu (Expert Syst. Appl., 2023)

A joint entity Relation Extraction method for document level Traditional Chinese Medicine texts. - Wenxuan Xu; Lin Wang 039; Mingchuan Zhang; Junlong Zhu; Junqiang Yan; Qingtao Wu (Artif. Intell. Medicine, 2024)

Mobile edge computing based cognitive network security analysis using multi agent machine learning techniques in B5G. - Ying Duan; Qingtao Wu; Xuezhuan Zhao; Xiaoyu Li (Comput. Electr. Eng., 2024)

Multi-input dual-branch reverse distillation for screw surface defect detection. - Xueqi Wang; Ruijuan Zheng; Junlong Zhu; Zhihang Ji; Mingchuan Zhang; Qingtao Wu (Eng. Appl. Artif. Intell., 2024)

Diagnosis knowledge constrained network based on first-order logic for syndrome differentiation. - Meiwen Li; Lin Wang; Qingtao Wu; Junlong Zhu; Mingchuan Zhang (Artif. Intell. Medicine, 2024)

A Novel Intelligent Fault Diagnosis Method for Bearings with Multi-Source Data and Improved GASA. - Qingming Hu; Xinjie Fu; Yanqi Guan; Qingtao Wu; Shang Liu (Sensors, 2024)

Decentralized Adaptive TD(λ) Learning With Linear Function Approximation: Nonasymptotic Analysis. - Junlong Zhu; Tao Mao; Mingchuan Zhang; Quanbo Ge; Qingtao Wu; Keqin Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Federated Model-Agnostic Meta-Learning With Sharpness-Aware Minimization for Internet of Things Optimization. - Qingtao Wu; Yong Zhang; Muhua Liu; Junlong Zhu; Ruijuan Zheng; Mingchuan Zhang (IEEE Internet Things J., 2024)

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. - Jiakai Wang; Xianglong Liu 001; Zixin Yin; Yuxuan Wang; Jun Guo 009; Haotong Qin; Qingtao Wu; Aishan Liu (Int. J. Comput. Vis., 2024)

NFFNet: A Deep Learning Framework for Fault Diagnosis Using Classifier-Guided Graph Attention Networks and Blind Deconvolution. - Hongfei Yao; Qianzhe Xu; Qingtao Wu (IEEE Access, 2025)

A two-step deep learning approach for patent foramen ovale diagnosis based on spatiotemporal sequence information of contrast transthoracic echocardiography. - Mengjie Gu; Yingying Liu; Lin Wang 039; Yuanyuan Sheng; Junlong Zhu; Junqiang Yan; Mingchuan Zhang; Qingtao Wu (Biomed. Signal Process. Control., 2025)

A three-stage adaptive memetic algorithm for multi-objective optimization of flexible assembly job-shop scheduling problem. - Chenlu Zhang; Jiamei Feng; Mingchuan Zhang; Lei Yang; Lei Zhang; Lin Wang; Junlong Zhu; Qingtao Wu (Eng. Appl. Artif. Intell., 2025)

A flexible job shop scheduling method based on heterogeneous disjunctive graph and deep reinforcement learning. - Xuhui Zhao; Haokai Qu; Mingchuan Zhang; Jiamei Feng; Lin Wang; Qingtao Wu (Eng. Appl. Artif. Intell., 2025)

ZO-APFPG: a provably zeroth-order adaptive personalized federated policy gradient algorithm for reinforcement learning with environment heterogeneity. - Jiamei Feng; Gaofeng Chen; Meiyi Yang; Huimin Gao; Xuhui Zhao; Ruijuan Zheng; Qingtao Wu (Expert Syst. Appl., 2025)

A decentralized adaptive method with consensus step for non-convex non-concave min-max optimization problems. - Meiwen Li; Xinyue Long; Muhua Liu; Jing Guo; Xuhui Zhao; Lin Wang 039; Qingtao Wu (Expert Syst. Appl., 2025)

Provable causal distributed two-time-scale temporal-difference learning with instrumental variables. - Yanan Ma; Jiamei Feng; Qingtao Wu; Ruijuan Zheng; Junlong Zhu; Jiangtao Xi; Mingchuan Zhang (Expert Syst. Appl., 2025)

AttenStyler: Text-image style transfer based on attention mechanism. - Yongsheng Dong; Shichao Fan; Lintao Zheng; Mingchuan Zhang; Qingtao Wu (Neurocomputing, 2025)

DMANet: Dual-branch multiscale attention network for real-time semantic segmentation. - Yongsheng Dong; Chongchong Mao; Lintao Zheng; Qingtao Wu (Neurocomputing, 2025)

MD-LDA: a supervised LDA topic model for identifying mechanism of disease in TCM. - Meiwen Li; Liye Xia; Qingtao Wu; Lin Wang 039; Junlong Zhu; Mingchuan Zhang (Data Technol. Appl., 2025)

A Communication-Efficient Distributed Frank-Wolfe Online Algorithm with an Event-Triggered Mechanism. - Huimin Gao; Muhua Liu; Zhihang Ji; Ruijuan Zheng; Qingtao Wu (Cogn. Comput., 2025)

A Zeroth-Order Adaptive Frank-Wolfe Algorithm for Resource Allocation in Internet of Things: Convergence Analysis. - Muhua Liu; Yajie Zhu; Qingtao Wu; Zhihang Ji; Xuhui Zhao; Ruijuan Zheng (IEEE Internet Things J., 2025)

A ring signature scheme with linkability and traceability for blockchain-based medical data sharing system. - Yalong Yang 003; Muhua Liu; Lin Wang 039; Yi Pu; Ruijuan Zheng; Qingtao Wu; Jing Guo (Peer Peer Netw. Appl., 2025)

AFPN: Alignment feature pyramid network for real-time semantic segmentation. - Yongsheng Dong; Chongchong Mao; Lintao Zheng; Qingtao Wu; Mingchuan Zhang; Xuelong Li (Pattern Recognit., 2026)