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2020 – today
- 2025
[j7]Bin Liu
, Ao Zhou, Bingkun Wei, Jin Wang, Grigorios Tsoumakas:
Oversampling multi-label data based on natural neighbor and label correlation. Expert Syst. Appl. 259: 125257 (2025)- 2022
- [j6]Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong:
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7806-7817 (2022) - 2021
- [j5]Qingfeng Wang, Xiaojin Liu, Bingkun Wei, Wenwu Chen:
Online Incipient Fault Detection Method Based on Improved ℓ1 Trend Filtering and Support Vector Data Description. IEEE Access 9: 30043-30059 (2021) - [j4]Qingfeng Wang, Shuai Wang, Bingkun Wei, Wenwu Chen, Yufei Zhang:
Weighted K-NN Classification Method of Bearings Fault Diagnosis With Multi-Dimensional Sensitive Features. IEEE Access 9: 45428-45440 (2021) - 2020
- [j3]Qingfeng Wang, Jiahe Liu, Bingkun Wei, Wenwu Chen, Shujian Xu:
Investigating the Construction, Training, and Verification Methods of k-Means Clustering Fault Recognition Model for Rotating Machinery. IEEE Access 8: 196515-196528 (2020) - [j2]Qingfeng Wang, Bingkun Wei, Jiahe Liu, Wensheng Ma:
Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application. IEEE Access 8: 197134-197146 (2020) - [j1]Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao:
Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications. Sensors 20(17): 4902 (2020)
2010 – 2019
- 2019
- [c1]Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu:
Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. CIKM 2019: 881-890 - [i1]Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo:
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization. CoRR abs/1912.00858 (2019)
Coauthor Index
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