Wenfeng Jing

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 9

Top Topics

Normal Behavior

Multiple Data Sources

Deep Belief Networks

Top Venues

J. Intell. Fuzzy Syst.

J. Signal Process. Syst.

Publications

Xuewu Zhang, Yansheng Gong, Chen Qiao, Wenfeng Jing
Multiview deep learning based on tensor decomposition and its application in fault detection of overhead contact systems. Vis. Comput. 38 (4) (2022)
Xuewu Zhang, Wenfeng Jing
Fault detection of overhead contact systems based on multi-view Faster R-CNN. J. Intell. Fuzzy Syst. 43 (1) (2022)
Chen Qiao, Jiajia Li, Xuewu Zhang, Cheng Zhang, Wenfeng Jing, Danglin Yang
Feature Back-Tracking with Sparse Deep Belief Networks. FSDM (2021)
Tong Chen, Shujuan Zhang, Yuan Wang, Zhengbo Chen, Wenfeng Jing
Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System. J. Signal Process. Syst. 93 (2-3) (2021)
Tiantian Wei, Qifan Guo, Xuewu Zhang, Cheng Zhang, Wenfeng Jing
A Nested Residual Encoder-Decoder Network for Overhead Contact System Fastener Anomaly Detection. IEEE Access 9 (2021)
Jihong Li, Zhiqiang Wang, Yuan Wang, Zhaoyun Hua, Wenfeng Jing
Research on Distributed Search Technology of Multiple Data Sources Intelligent Information Based on Knowledge Graph. J. Signal Process. Syst. 93 (2-3) (2021)
Qifan Guo, Lei Liu, Wenjuan Xu, Yansheng Gong, Xuewu Zhang, Wenfeng Jing
An Improved Faster R-CNN for High-Speed Railway Dropper Detection. IEEE Access 8 (2020)
Chen Qiao, Ke-Feng Sun, Wenfeng Jing, Yan Shi
Critical dynamical analysis for α-UAM RNNs without diagonal nonlinear requirements. J. Intell. Fuzzy Syst. 33 (3) (2017)
Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang
The general critical analysis for continuous-time UPPAM recurrent neural networks. Neurocomputing 175 (2016)
Chen Qiao, Hai-Bao Chen, Wenfeng Jing, Ke-Feng Sun
Towards establishing a meaningful and practical dynamics results for the unified RNN model. Neurocomputing 157 (2015)
Chen Xu, Zhiming Peng, Wenfeng Jing
Sparse kernel logistic regression based on L 1/2 regularization. Sci. China Inf. Sci. 56 (4) (2013)
Chen Qiao, Wenfeng Jing, Zongben Xu
The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing 106 (2013)
Zongben Xu, Rui Zhang, Wenfeng Jing
When Does Online BP Training Converge? IEEE Trans. Neural Networks 20 (10) (2009)
Wenfeng Jing, Deyu Meng, Ming-Wei Dai, Zongben Xu
A New Pre-processing Method for Regression. ISNN (2) (2006)
Deyu Meng, Chen Xu, Wenfeng Jing
A New Approach for Regression: Visual Regression Approach. CIS (1) (2005)
Zongben Xu, Deyu Meng, Wenfeng Jing
A New Approach for Classification: Visual Simulation Point of View. ISNN (2) (2005)