Extreme learning machine for regression based on condition number and variance decomposition ratio. - Meiyi Li; Weibiao Cai; Qingshuai Sun (ICMAI, 2018)

Hybrid hierarchical extreme learning machine. - Meiyi Li; Changfei Wang; Qingshuai Sun (ICMAI, 2018)

Data Distribution Based Weighted Extreme Learning Machine. - Meiyi Li; Qingshuai Sun; Xingwang Liu (ICMLT, 2019)

Flow Measurement-Based Self-Adaptive Line Segment Clustering Model for Leakage Detection in Water Distribution Networks. - Qingshuai Sun; Yingjie Zhang; Bi-Liang Lu; Hualiang Liu (IEEE Trans. Instrum. Meas., 2022)

An Enhanced Adaptive Unscented Kalman Filter for Vehicle State Estimation. - Yingjie Zhang; Ming Li; Ying Zhang; Zuolei Hu; Qingshuai Sun; Bi-Liang Lu (IEEE Trans. Instrum. Meas., 2022)

A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery. - Bi-Liang Lu; Yingjie Zhang; Zhaohua Liu; Hua-Liang Wei; Qingshuai Sun (Reliab. Eng. Syst. Saf., 2023)

Knowledge Graph Based on Reinforcement Learning: A Survey and New Perspectives. - Qingfeng Huo; Huaqiao Fu; Caixia Song; Qingshuai Sun; Pengmin Xu; Kejia Qu; Huiyu Feng; Chuanqi Liu; Jiajia Ren; Yuanhong Tang; Tongwei Li (IEEE Access, 2024)

A Novel Multidomain Contrastive-Coding-Based Open-Set Domain Generalization Framework for Machinery Fault Diagnosis. - Bi-Liang Lu; Yingjie Zhang; Qingshuai Sun; Ming Li; Pude Li (IEEE Trans. Ind. Informatics, 2024)

Dynamic Meta-Decoupler-inspired Single-Universal Domain Generalization for Intelligent Fault Diagnosis. - Mengdi Xu; Yingjie Zhang; Biliang Lu; Zhaolin Liu; Qingshuai Sun (Expert Syst. Appl., 2025)

A novel domain-private-suppress meta-recognition network based universal domain generalization for machinery fault diagnosis. - Mengdi Xu; Yingjie Zhang; Biliang Lu; Zhaolin Liu; Qingshuai Sun (Knowl. Based Syst., 2025)

Advanced stacking models for machine fault diagnosis with ensemble trees and SVM. - Yuhua Liao; Ming Li; Qingshuai Sun; Pude Li (Appl. Intell., 2025)