Bingkun Wei

According to our database, Bingkun Wei authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Oversampling multi-label data based on natural neighbor and label correlation.

Bin Liu, Ao Zhou, Bingkun Wei, Jin Wang, Grigorios Tsoumakas

Expert Syst. Appl., 2025

2022

Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning.

Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Weighted K-NN Classification Method of Bearings Fault Diagnosis With Multi-Dimensional Sensitive Features.

Qingfeng Wang, Shuai Wang, Bingkun Wei, Wenwu Chen, Yufei Zhang

IEEE Access, 2021

Online Incipient Fault Detection Method Based on Improved ℓ₁ Trend Filtering and Support Vector Data Description.

Qingfeng Wang, Xiaojin Liu, Bingkun Wei, Wenwu Chen

IEEE Access, 2021

2020

Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications.

Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao

Sensors, 2020

Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application.

Qingfeng Wang, Bingkun Wei, Jiahe Liu, Wensheng Ma

IEEE Access, 2020

Investigating the Construction, Training, and Verification Methods of k-Means Clustering Fault Recognition Model for Rotating Machinery.

Qingfeng Wang, Jiahe Liu, Bingkun Wei, Wenwu Chen, Shujian Xu

IEEE Access, 2020

2019

Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization.

Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo

CoRR, 2019

Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning.

Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019