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2010 – 2019
- 2019
[c4]Zhixian Ma, Jie Zhu, Yongkai Zhu, Haiguang Xu:
Radio Galaxy Morphology Simulation via Residual Conditional Variational Autoencoder. CIS 2019: 151-155- [c3]Zhixian Ma, Jie Zhu, Yongkai Zhu, Haiguang Xu:
Classification of Radio Galaxy Images with Semi-supervised Learning. DMBD 2019: 191-200 - [i3]Weitian Li, Haiguang Xu
, Zhixian Ma, Ruimin Zhu, Dan Hu, Zhenghao Zhu, Junhua Gu, Chenxi Shan, Jie Zhu, Xiang-Ping Wu:
Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method. CoRR abs/1902.09278 (2019) - 2018
- [c2]Zhixian Ma, Jie Zhu, Weitian Li, Haiguang Xu:
Radio Galaxy Morphology Generation using Residual Convolutional Autoencoder and Gaussian Mixture Models. ICIP 2018: 3044-3048 - [i2]Zhixian Ma, Jie Zhu, Weitian Li, Haiguang Xu:
Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models. CoRR abs/1806.00398 (2018) - 2017
- [j1]Zhixian Ma, Jie Zhu, Weitian Li, Haiguang Xu:
An Approach to Detect Cavities in X-Ray Astronomical Images Using Granular Convolutional Neural Networks. IEICE Trans. Inf. Syst. 100-D(10): 2578-2586 (2017) - [i1]Zhixian Ma, Weitian Li, Lei Wang, Haiguang Xu, Jie Zhu:
X-ray Astronomical Point Sources Recognition Using Granular Binary-tree SVM. CoRR abs/1703.02271 (2017) - 2016
- [c1]Lei Wang, Zhixian Ma, Haiguang Xu, Jie Zhu:
Classification of X-Ray Galaxy Clusters with Morphological Feature and Tree SVM. ICMLA 2016: 701-704
Coauthor Index
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