Wenfeng Jing

According to our database, Wenfeng Jing authored at least 16 papers between 2005 and 2022.

Collaborative distances:

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

2022

Multiview deep learning based on tensor decomposition and its application in fault detection of overhead contact systems.

Xuewu Zhang, Yansheng Gong, Chen Qiao, Wenfeng Jing

Vis. Comput., 2022

Fault detection of overhead contact systems based on multi-view Faster R-CNN.

Xuewu Zhang, Wenfeng Jing

J. Intell. Fuzzy Syst., 2022

2021

Research on Distributed Search Technology of Multiple Data Sources Intelligent Information Based on Knowledge Graph.

Jihong Li, Zhiqiang Wang, Yuan Wang, Zhaoyun Hua, Wenfeng Jing

J. Signal Process. Syst., 2021

Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System.

Tong Chen, Shujuan Zhang, Yuan Wang, Zhengbo Chen, Wenfeng Jing

J. Signal Process. Syst., 2021

A Nested Residual Encoder-Decoder Network for Overhead Contact System Fastener Anomaly Detection.

Tiantian Wei, Qifan Guo, Xuewu Zhang, Cheng Zhang, Wenfeng Jing

IEEE Access, 2021

Feature Back-Tracking with Sparse Deep Belief Networks.

Chen Qiao, Jiajia Li, Xuewu Zhang, Cheng Zhang, Wenfeng Jing, Danglin Yang

Proceedings of the Fuzzy Systems and Data Mining VII, 2021

2020

An Improved Faster R-CNN for High-Speed Railway Dropper Detection.

Qifan Guo, Lei Liu, Wenjuan Xu, Yansheng Gong, Xuewu Zhang, Wenfeng Jing

IEEE Access, 2020

2017

Critical dynamical analysis for α-UAM RNNs without diagonal nonlinear requirements.

Chen Qiao, Ke-Feng Sun, Wenfeng Jing, Yan Shi

J. Intell. Fuzzy Syst., 2017

2016

The general critical analysis for continuous-time UPPAM recurrent neural networks.

Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang

Neurocomputing, 2016

2015

Towards establishing a meaningful and practical dynamics results for the unified RNN model.

Chen Qiao, Hai-Bao Chen, Wenfeng Jing, Ke-Feng Sun

Neurocomputing, 2015

2013

The UPPAM continuous-time RNN model and its critical dynamics study.

Chen Qiao, Wenfeng Jing, Zongben Xu

Neurocomputing, 2013

Sparse kernel logistic regression based on L 1/2 regularization.

Chen Xu, Zhiming Peng, Wenfeng Jing

Sci. China Inf. Sci., 2013

2009

When Does Online BP Training Converge?

Zongben Xu, Rui Zhang, Wenfeng Jing

IEEE Trans. Neural Networks, 2009

2006

A New Pre-processing Method for Regression.

Wenfeng Jing, Deyu Meng, Ming-Wei Dai, Zongben Xu

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

A New Approach for Classification: Visual Simulation Point of View.

Zongben Xu, Deyu Meng, Wenfeng Jing

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A New Approach for Regression: Visual Regression Approach.

Deyu Meng, Chen Xu, Wenfeng Jing

Proceedings of the Computational Intelligence and Security, International Conference, 2005