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%======================================================================
\begin{itemize}
\small
- \item \uline{Li,~W.}, Xu,~H., Ma,~Z., Zhu, R., Hu,~D., Zhu,~Z.
+ \item \uline{Li,~W.}, Xu,~H., Ma,~Z., Zhu, R., Hu,~D., Zhu,~Z.,
Shan,~C., Zhu, J. \& Wu, X.-P.,
- \enquote{\it Deep-learning-based Method to Separate the EoR Signal
- Using the Convolutional Denoising Autoencoder,}
+ \enquote{\it Separating the EoR Signal with a Convolutional Denoising
+ Autoencoder: a Deep-learning-based Method,}
2018, Monthly Notices of the Royal Astronomical Society Letters
- (submitted; SCI; IF=4.96)
+ (under review; SCI; IF=4.96)
\item \uline{Li,~W.}, Xu,~H., Ma,~Z., Hu,~D., Zhu,~Z., Shan,~C.,
Wang,~J., Gu,~J., Lian,~X., Zheng,~Q., Zhu, J. \& Wu, X.-P.,
\enquote{\it Contribution of Radio Halos to the Foreground for
SKA EoR Experiments,}
2018, The Astrophysical Journal (under review; SCI; IF=5.53)
- \item Ma,~Z., Xu,~H., \uline{Li,~W.}, Shan,~C., Hu,~D., Zhu,~Z.,
- Lian,~X., Zhang,~Z., Liu,~C. \& Wu,~X.-P.,
+ \item Ma,~Z., Xu,~H., Zhu,~J., Hu,~D., \uline{Li,~W.}, Shan,~C., Zhu,~Z.,
+ Lian,~X., Gu,~L., Liu,~C. \& Wu,~X.-P.,
\enquote{\it A Machine Learning Based Morphological Classification
- of 14,251 Radio Galaxies Selected from the Best-Heckman's Sample,}
+ of 14,251 Radio AGNs Selected from the Best--Heckman Sample,}
2018, The Astrophysical Journal Supplement Series
(in revision; SCI; IF=8.96)
\item Hu,~D., Xu,~H., Kang,~X., \uline{Li,~W.}, Zhu,~Z., Ma,~Z.,