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| -rw-r--r-- | resume-en.tex | 14 | ||||
| -rw-r--r-- | resume-zh.tex | 14 |
2 files changed, 14 insertions, 14 deletions
diff --git a/resume-en.tex b/resume-en.tex index e6bb49e..9368bb1 100644 --- a/resume-en.tex +++ b/resume-en.tex @@ -217,21 +217,21 @@ company goals. %====================================================================== \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., diff --git a/resume-zh.tex b/resume-zh.tex index 2843491..f3acd7c 100644 --- a/resume-zh.tex +++ b/resume-zh.tex @@ -197,21 +197,21 @@ %====================================================================== \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., |