A BP Neural Network-Based Communication Blind Signal Detection Method With Cyber-Physical-Social Systems. - Xin Liu 024; Yanju Zhou; Zongrun Wang; Xiaohong Chen 001 (IEEE Access, 2018)

Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases. - Xin Liu 024; Yan-ju Zhou; Xiaohong Chen 001 (Complex., 2018)

Acquisition method of users' browsing behavior preference based on the fusion of social network link and theme model. - Xin Liu 024; Yanju Zhou; Zongrun Wang (J. Intell. Fuzzy Syst., 2019)

Recognition and extraction of named entities in online medical diagnosis data based on a deep neural network. - Xin Liu 024; Yanju Zhou; Zongrun Wang (J. Vis. Commun. Image Represent., 2019)

Can the development of a patient's condition be predicted through intelligent inquiry under the e-health business mode? Sequential feature map-based disease risk prediction upon features selected from cognitive diagnosis big data. - Xin Liu 024; Yanju Zhou; Zongrun Wang (Int. J. Inf. Manag., 2020)

Deep neural network-based recognition of entities in Chinese online medical inquiry texts. - Xin Liu 024; Yanju Zhou; Zongrun Wang (Future Gener. Comput. Syst., 2021)

Preference access of users' cancer risk perception using disease-specific online medical inquiry texts. - Xin Liu 024; Yanju Zhou; Zongrun Wang (Inf. Process. Manag., 2022)

User's Cognitive-Behavior-Based Preference Access Under Disease-Specific Online Medical Inquiry Text Mining. - Xin Liu 024; Yanju Zhou; Zongrun Wang; Wei Wang 077; Ajay Kumar; Wei Wei 006 (IEEE Trans. Engineering Management, 2023)

Research on the influencing factors and the differences between the initial trust and continuous trust of online health community users. - Zongrun Wang; Lin Liang; Xin Liu 024; Minglong Liao (Neural Comput. Appl., 2024)

Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records. - Xin Liu 024; Yanju Zhou; Zongrun Wang; Ajay Kumar; Baidyanath Biswas (IEEE Trans. Engineering Management, 2024)