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Yingfeng Wang
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Publications
- 2022
- [j17]Myungjae Kwak, Kyungwoo Kang, Yingfeng Wang:
Methods of Metabolite Identification Using MS/MS Data. J. Comput. Inf. Syst. 62(1): 12-18 (2022) - 2021
- [j15]Yingfeng Wang, Biyun Xu, Myungjae Kwak, Xiaoqin Zeng:
A noise injection strategy for graph autoencoder training. Neural Comput. Appl. 33(10): 4807-4814 (2021) - 2020
- [c13]Yingfeng Wang, Biyun Xu, Myungjae Kwak, Xiaoqin Zeng:
A Simple Training Strategy for Graph Autoencoder. ICMLC 2020: 341-345 - 2018
- [j14]Xiaoqin Zeng, Yufeng Liu, Zhan Shi, Yingfeng Wang, Yang Zou, Jun Kong, Kang Zhang:
An Edge-based Graph Grammar Formalism and its Support System. J. Vis. Lang. Sentient Syst. 4: 11-19 (2018) - [c12]Yufeng Liu, Zhan Shi, Yingfeng Wang, Yang Zou, Jun Kong, Kang Zhang, Xiaoqin Zeng:
An Edge-based Graph Grammar Formalism and its Support System. DMSVIVA 2018: 101-108 - 2009
- [j6]Xiaoqin Zeng, Jing Shao, Yingfeng Wang, Shuiming Zhong:
A sensitivity-based approach for pruning architecture of Madalines. Neural Comput. Appl. 18(8): 957-965 (2009) - 2006
- [j3]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng:
Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Comput. 18(11): 2854-2877 (2006) - [j2]Xiaoqin Zeng, Yingfeng Wang, Kang Zhang:
Computation of Adalines' sensitivity to weight perturbation. IEEE Trans. Neural Networks 17(2): 515-519 (2006) - [c4]Yingfeng Wang, Xiaoqin Zeng:
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. IJCNN 2006: 771-777 - 2005
- [c3]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung:
Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC 2005: 822-831
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