A minimax probability extreme machine framework and its application in pattern recognition. - Liming Yang; Boyan Yang; Shibo Jing; Qun Sun (Eng. Appl. Artif. Intell., 2019)

Arbitrary norm semi-supervised extreme learning machine. - Shibo Jing; Junyu Yang; Liming Yang; Min Zhang (J. Intell. Fuzzy Syst., 2019)

Selective ensemble of uncertain extreme learning machine for pattern classification with missing features. - Shibo Jing; Yidan Wang; Liming Yang (Artif. Intell. Rev., 2020)

A robust extreme learning machine framework for uncertain data classification. - Shibo Jing; Liming Yang (J. Supercomput., 2020)

Accurate and Robust Locomotion Mode Recognition Using High-Density EMG Recordings from a Single Muscle Group. - Shibo Jing; Hsien-Yung Huang; Ravi Vaidyanathan; Dario Farina (EMBC, 2022)

E-TRGAN: A Novel Transformer Generative Adversarial Network for High-Density Surface Electromyography Signal Reconstruction. - Yongkun Zhao; Shibo Jing; Haijun Wu; Honghan Li; Masahiro Todoh (IEEE Trans. Instrum. Meas., 2024)

A comprehensive sensorimotor control model emulating neural activities for planar human arm reaching movements. - Yongkun Zhao; Mingquan Zhang; Haijun Wu; Shibo Jing; Tianyu Zhou; Masahiro Todoh (Appl. Intell., 2024)

Leveraging High-Density EMG to Investigate Bipolar Electrode Placement for Gait Prediction Models. - Balint K. Hodossy; Annika S. Guez; Shibo Jing; Weiguang Huo; Ravi Vaidyanathan; Dario Farina (IEEE Trans. Hum. Mach. Syst., 2024)

Multi-source coordinated low-carbon optimal dispatching for interconnected power systems considering carbon capture. - Jiawen Sun; Dong Hua; Xinfu Song; Mengke Liao; Zhongzhen Li; Shibo Jing (Energy Inform., 2024)