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Wenfeng Jing
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2020 – today
- 2022
- [j12]Xuewu Zhang, Wenfeng Jing:
Fault detection of overhead contact systems based on multi-view Faster R-CNN. J. Intell. Fuzzy Syst. 43(1): 397-407 (2022) - [j11]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): 1457-1467 (2022) - 2021
- [j10]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: 74959-74968 (2021) - [j9]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): 239-248 (2021) - [j8]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): 275-284 (2021) - [c4]Chen Qiao, Jiajia Li, Xuewu Zhang, Cheng Zhang, Wenfeng Jing, Danglin Yang:
Feature Back-Tracking with Sparse Deep Belief Networks. FSDM 2021: 386-396 - 2020
- [j7]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: 105622-105633 (2020)
2010 – 2019
- 2017
- [j6]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): 1677-1685 (2017) - 2016
- [j5]Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang:
The general critical analysis for continuous-time UPPAM recurrent neural networks. Neurocomputing 175: 40-46 (2016) - 2015
- [j4]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: 315-322 (2015) - 2013
- [j3]Chen Xu, Zhiming Peng, Wenfeng Jing:
Sparse kernel logistic regression based on L 1/2 regularization. Sci. China Inf. Sci. 56(4): 1-16 (2013) - [j2]Chen Qiao, Wenfeng Jing, Zongben Xu:
The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing 106: 158-166 (2013)
2000 – 2009
- 2009
- [j1]Zongben Xu, Rui Zhang, Wenfeng Jing:
When Does Online BP Training Converge? IEEE Trans. Neural Networks 20(10): 1529-1539 (2009) - 2006
- [c3]Wenfeng Jing, Deyu Meng, Ming-Wei Dai, Zongben Xu:
A New Pre-processing Method for Regression. ISNN (2) 2006: 765-770 - 2005
- [c2]Deyu Meng, Chen Xu, Wenfeng Jing:
A New Approach for Regression: Visual Regression Approach. CIS (1) 2005: 139-144 - [c1]Zongben Xu, Deyu Meng, Wenfeng Jing:
A New Approach for Classification: Visual Simulation Point of View. ISNN (2) 2005: 1-7
Coauthor Index
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