Adaptive sliding bandlimited multiple fourier linear combiner for estimation of pathological tremor. - Shengxin Wang; Yongsheng Gao 002; Jie Zhao 003; Hegao Cai (Biomed. Signal Process. Control., 2014)

Analysis and simulation of the neural oscillator for tremor suppression by FES. - Shengxin Wang; Yongsheng Gao 002; Feiyun Xiao; Wei Xin; Jie Zhao 003 (ROBIO, 2015)

Prediction of joint angle by combining multiple linear regression with autoregressive (AR) model and Kalman filter. - Feiyun Xiao; Yongsheng Gao 002; Shengxin Wang; Jie Zhao 003 (ROBIO, 2015)

Estimation of tremor parameters and extraction tremor from recorded signals for tremor suppression. - Shengxin Wang; Yongsheng Gao 002; Feiyun Xiao; Xizhe Zang; Yanhe Zhu; Jie Zhao 003 (ICRA, 2016)

Prediction of pathological tremor using adaptive multiple oscillators linear combiner. - Feiyun Xiao; Yongsheng Gao 002; Shengxin Wang; Jie Zhao 003 (Biomed. Signal Process. Control., 2016)

Security redundancy gait pattern generator within the XKF-01 robotic gait-orthosis. - Dacheng Yu; Yaofeng Liu; Zheng Yang; Shengxin Wang; Ye Li; Jialin Zhang; Jie Wang (ROBIO, 2018)

Application of Analytical Hierarchy Process in Teaching Quality Analysis of English Writing. - Xiaoqin Zhang; Shengxin Wang; Yanling Cao; Guangqi Chen (Int. J. Emerg. Technol. Learn., 2020)

Multi-spectral remote sensing land-cover classification based on deep learning methods. - Tongdi He; Shengxin Wang (J. Supercomput., 2021)

Design and Implementation of a Robot System for High Efficiency Automatic Oropharyngeal Swab Sampling. - Mingyue Qin; Shengxin Wang; Nan Li; Juyi Li; Zhendong Jiang; Xiaoyu Ren; Lin Cheng; Jiangfeng Liu (ICARM, 2022)

Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. - Gang Xu; Shengxin Wang; Thomas Lukasiewicz; Zhenghua Xu 001 (ICME, 2023)

An improved PBFT consensus mechanism with trust value evaluation application in the agricultural product trusted traceability system. - Weiqing Sun; Shengxin Wang; Shen Wei; Pengfei Cao; Yan Zhao; Lechao Xi; Xinlu Liu; Lihua Wang (J. High Speed Networks, 2023)

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. - Zhenghua Xu 001; Shengxin Wang; Gang Xu; Yunxin Liu; Miao Yu; Hongwei Zhang; Thomas Lukasiewicz; Junhua Gu (Comput. Biol. Medicine, 2024)