An adaptive deep learning model to differentiate syndromes of infectious fever in smart medicine. - Zhuo Liu; Changchuan Bai; Hang Yu 014; Ying Zhu; Tai-Hua Wu; Fanyu Bu; Qingchen Zhang 001 (Future Gener. Comput. Syst., 2020)

A GPU-based residual network for medical image classification in smart medicine. - Qingchen Zhang 001; Changchuan Bai; Zhuo Liu; Laurence T. Yang; Hang Yu 014; Jingyuan Zhao; Hong Yuan (Inf. Sci., 2020)

An Edge-Cloud-Aided High-Order Possibilistic c-Means Algorithm for Big Data Clustering. - Fanyu Bu; Qingchen Zhang 001; Laurence T. Yang; Hang Yu 014 (IEEE Trans. Fuzzy Syst., 2020)

A deep residual computation model for heterogeneous data learning in smart Internet of Things. - Hang Yu 014; Laurence T. Yang; Xiangchao Fan; Qingchen Zhang 001 (Appl. Soft Comput., 2021)

Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing. - Qingchen Zhang 001; Changchuan Bai; Zhikui Chen; Peng Li 027; Hang Yu 014; Shuo Wang; He Gao (Concurr. Comput. Pract. Exp., 2021)

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives. - Hang Yu 014; Laurence T. Yang; Qingchen Zhang 001; David Armstrong; M. Jamal Deen (Neurocomputing, 2021)

A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. - Qingchen Zhang 001; Changchuan Bai; Laurence T. Yang; Zhikui Chen; Peng Li 027; Hang Yu 014 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays. - Hang Yu 014; Qingchen Zhang 001 (BIBM, 2022)

A Deep Reinforcement Computation Model for Sepsis Treatment. - Hang Yu 014; Qingchen Zhang 001 (BIBM, 2022)