Update about.md

_pages/about.md

@@ -173,4 +173,4 @@ The algorithm for beamforming design and results are presented in our papers pub
 - Design tensorized neural networks to efficiently learn inherent features from multi-dimensional array signals, leading to *<font color=blue>robust performance in non-ideal situations</font>* such as low signal-to-noise (SNR) ratio and limited snapshots
 - Highly compress the parameters in tensorized neural layers, and *<font color=blue>accelerate the training speed</font>* of the tensorized neural network
 
-This work was presented at IEEE ICASSP 2023, and recognized as the Top 3% paper. The extended paper is accepted to IEEE TSP.
+This work was presented at IEEE ICASSP 2023, and recognized as the Top 3% paper. The extended work is published on IEEE TSP.