resume: Update publications

1 files changed, 10 insertions, 9 deletions

diff --git a/resume-en.tex b/resume-en.tex
index 2139924..31ef68d 100644
--- a/resume-en.tex
+++ b/resume-en.tex
@@ -219,9 +219,9 @@ company goals.
   \small
   \item \uline{Li,~W.}, Xu,~H., Ma,~Z., Zhu, R., Hu,~D., Zhu,~Z.
     Shan,~C., Zhu, J. \& Wu, X.-P.,
-    \enquote{\it EoR Signal Separation Using Convolutional Denoising
-      Autoencoder,}
-    2018, Monthly Notices of the Royal Astronomical Society
+    \enquote{\it Deep-learning-based Method to Separate the EoR Signal
+      Using the Convolutional Denoising Autoencoder,}
+    2018, Monthly Notices of the Royal Astronomical Society Letters
     (submitted; 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.,
@@ -234,16 +234,17 @@ company goals.
       of 14,251 Radio Galaxies Selected from the Best-Heckman's Sample,}
     2018, The Astrophysical Journal Supplement Series
     (in revision; SCI; IF=8.96)
-  \item Zheng,~Q., Johnston-Hollitt,~M., Duchesne,~S. \& \uline{Li,~W.},
-    \enquote{\it Detection of a Double Relic in the Torpedo Cluster:
-      SPT-Cl J0245-5302,}
-    2018, Monthly Notices of the Royal Astronomical Society
-    (in press; SCI; IF=4.96)
   \item Hu,~D., Xu,~H., Kang,~X., \uline{Li,~W.}, Zhu,~Z., Ma,~Z.,
     Shan,~C., Zhang,~Z., Gu,~L., Liu,~C. \& Wu,~X.-P.,
     \enquote{\it A Study of the Merger History of the Galaxy Group
       HCG~62 Based on X-ray Observations and SPH Simulations,}
-    2017, The Astrophysical Journal, (in revision; SCI; IF=5.53)
+    2017, The Astrophysical Journal
+    (in revision; SCI; IF=5.53)
+  \item Zheng,~Q., Johnston-Hollitt,~M., Duchesne,~S. \& \uline{Li,~W.},
+    \enquote{\it Detection of a Double Relic in the Torpedo Cluster:
+      SPT-Cl J0245-5302,}
+    2018, Monthly Notices of the Royal Astronomical Society, 479, 730
+    (SCI; IF=4.96)
   \item Ma,~Z., Zhu,~J., \uline{Li,~W.} \& Xu,~H.,
     \enquote{\it An Approach to Detect Cavities in X-ray Astronomical
       Images Using Granular Convolutional Neural Networks,}