Study on Circle Maps Mechanism of Neural Spikes Sequence. - Hong Zhang; Luping Fang; Qinye Tong (ICNC (1), 2005)

Controlling the Inspiration/Expiration Ratio Benefits the Deceleration Capacity Index of Heart Rate in Assessing the Sympatho-vagal Balance. - Qing Pan; Chenglong Gao; Gongzhan Zhou; Ruofan Wang; Yihua Yu; Luping Fang; Gangmin Ning (CinC, 2016)

The degree of heart rate asymmetry is crucial for the validity of the deceleration and acceleration capacity indices of heart rate: A model-based study. - Qing Pan; Gongzhan Zhou; Ruofan Wang; Yihua Yu; Feng Li 008; Luping Fang; Jing Yan 002; Gangmin Ning (Comput. Biol. Medicine, 2016)

Do the deceleration/acceleration capacities of heart rate reflect cardiac sympathetic or vagal activity? A model study. - Qing Pan; Gongzhan Zhou; Ruofan Wang; Guolong Cai; Jing Yan 002; Luping Fang; Gangmin Ning (Medical Biol. Eng. Comput., 2016)

Resampling the RR tachogram enhances the deceleration capacity of heart rate in the assessment of chronic heart failure. - Linghui Yang; Qing Pan; Gongzhan Zhou; Luping Fang; Ping Cao 002; Gangmin Ning (CISP-BMEI, 2017)

A novel data augmentation method to enhance deep neural networks for detection of atrial fibrillation. - Ping Cao 002; Xinyi Li; Kedong Mao; Fei Lu 020; Gangmin Ning; Luping Fang; Qing Pan (Biomed. Signal Process. Control., 2020)

Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network. - Lingwei Zhang; Kedong Mao; Kailiang Duan; Siqi Fang; Yunfei Lu; Qiang Gong; Fei Lu 020; Ye Jiang; Liuqing Jiang; Wenyao Fang; Xiaolin Zhou; Jimei Wang; et al. (Comput. Biol. Medicine, 2020)

Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls. - Ping Cao 002; Bailu Ye; Linghui Yang; Fei Lu 020; Luping Fang; Guolong Cai; Qun Su; Gangmin Ning; Qing Pan (Comput. Math. Methods Medicine, 2020)

An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation. - Qing Pan; Lingwei Zhang; Mengzhe Jia; Jie Pan; Qiang Gong; Yunfei Lu; Zhongheng Zhang; Huiqing Ge; Luping Fang (Comput. Methods Programs Biomed., 2021)

Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning. - Qing Pan; Mengzhe Jia; Qijie Liu; Lingwei Zhang; Jie Pan; Fei Lu 020; Zhongheng Zhang; Luping Fang; Huiqing Ge (Sensors, 2021)

Directional Adversarial Training for Robust Ownership-Based Recommendation System. - Zhefu Wu; Agyemang Paul; Junzhuo Cao; Luping Fang (IEEE Access, 2022)

Ownership Recommendation via Iterative Adversarial Training. - Agyemang Paul; Xunming Zhao; Luping Fang; Zhefu Wu (Neural Process. Lett., 2022)

Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation. - Qing Pan; Haoyuan Zhang; Mengting Jiang; Gangmin Ning; Luping Fang; Huiqing Ge (Comput. Biol. Medicine, 2023)

WiDFF-ID: Device-Free Fast Person Identification Using Commodity WiFi. - Zhefu Wu; Xinyu Xiao; Chao Lin; Shufeng Gong; Luping Fang (IEEE Trans. Cogn. Commun. Netw., 2023)

Reinforcement Learning Model for Managing Noninvasive Ventilation Switching Policy. - Xue Feng; Daoyuan Wang; Qing Pan; Molei Yan; Xiaoqing Liu; Yanfei Shen; Luping Fang; Guolong Cai; Gangmin Ning (IEEE J. Biomed. Health Informatics, 2023)

Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning. - Agyemang Paul; Zhefu Wu; Kai Luo; Yuhang Ma; Luping Fang (Int. J. Mach. Learn. Cybern., 2023)

Style-aware adversarial pairwise ranking for image recommendation systems. - Zhefu Wu; Song Zhang; Agyemang Paul; Luping Fang (Int. J. Multim. Inf. Retr., 2023)

Class activation map-based slicing-concatenation and contrastive learning: A novel strategy for record-level atrial fibrillation detection. - Qiang Zhu; Lingwei Zhang; Fei Lu 020; Luping Fang; Qing Pan (Expert Syst. Appl., 2025)

Interpretable adversarial neural pairwise ranking for academic network embedding. - Agyemang Paul; Zhefu Wu; Boyu Chen; Kai Luo; Luping Fang (Knowl. Inf. Syst., 2025)