From 7925bd2173c057334ad5a7ef41007afa029e4ebf Mon Sep 17 00:00:00 2001
From: Hang Zheng <54340561+HangZheng98@users.noreply.github.com>
Date: Sun, 25 Aug 2024 20:58:33 +0800
Subject: [PATCH] Update about.md
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_pages/about.md | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/_pages/about.md b/_pages/about.md
index d34b331e63a..4201a85c69d 100644
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@@ -28,6 +28,7 @@ I have published 20+ papers at top journals and international conferences with g
I am an active reviewer for IEEE TSP, IEEE TAES, IEEE TVT, IEEE SPL, Signal Processing, and IET Signal processing.
# 🔥 News
+- *2024.08*: 🎉 Our paper [Deep tensor 2-D DOA estimation for URA](https://ieeexplore.ieee.org/document/10644148) is accepted to *IEEE Transactions on Signal Processing*
- *2023.11*: 🎉 Our paper received the Excellent Scientific Papers from *China Association for Science and Technology*
- *2023.08*: 🎉 Our paper [Sub-Nyquist tensor beamformer: A coprimality constrained design](https://ieeexplore.ieee.org/abstract/document/10232921) is accepted to *IEEE Transactions on Signal Processing*
- *2023.06*: 🎉 Our paper [Tensorized neural layer decomposition for 2-D DOA estimation](https://ieeexplore.ieee.org/abstract/document/10095288) is recognized as the Top 3% paper of all accepted papers at *IEEE ICASSP 2023*
@@ -37,6 +38,7 @@ I am an active reviewer for IEEE TSP, IEEE TAES, IEEE TVT, IEEE SPL, Signal Proc
# 📝 Publications
## **Journal papers**
+- **H. Zheng**, Z. Shi, C. Zhou, S. A. Vorobyov, and Y. Gu, "[Deep tensor 2-D DOA estimation for URA](https://ieeexplore.ieee.org/document/10644148)," IEEE Trans. Signal Process., 2024.
- **H. Zheng**, C. Zhou, Z. Shi, Y. Gu, and Y. D. Zhang, "[Coarray tensor direction-of-arrival estimation](https://ieeexplore.ieee.org/document/10078271)," IEEE Trans. Signal Process., vol. 71, pp. 1128-1142, 2023.
@@ -61,8 +63,7 @@ I am an active reviewer for IEEE TSP, IEEE TAES, IEEE TVT, IEEE SPL, Signal Proc
- C. Zhou, **H. Zheng**, Y. Gu, Y. Wang, and Z. Shi, "[Research progress on coprime array signal processing: Direction-of-arrival estimation and adaptive beamforming](https://radars.ac.cn/cn/article/doi/10.12000/JR19068)," (互质阵列信号处理研究进展：波达方向估计与自适应波束成形) Journal of Radars (《雷达学报》), vol. 8, no. 5, pp. 558-577, Oct. 2019. (in Chinese)
- B. Li, F. Cheng, **H. Zheng** \*, Z. Shi, and C. Zhou, "[Structural-missing tensor completion for robust DOA estimation with sensor failure](https://www.mdpi.com/2076-3417/13/23/12740)," Appl. Sci., vol. 13, no. 23, Art. no. 12740, 2023. (\*corresponding author)
-
-- **H. Zheng**, Z. Shi, C. Zhou, S. A. Vorobyov, and Y. Gu, "Deep tensor 2-D DOA estimation for URA," IEEE Trans. Signal Process., Under review.
+-
## **Conference papers**
@@ -169,4 +170,4 @@ 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 *robust performance in non-ideal situations* such as low signal-to-noise (SNR) ratio and limited snapshots
- Highly compress the parameters in tensorized neural layers, and *accelerate the training speed* of the tensorized neural network
-This work was presented at IEEE ICASSP 2023, and recognized as the Top 3% paper. The extended paper is submitted to IEEE TSP.
+This work was presented at IEEE ICASSP 2023, and recognized as the Top 3% paper. The extended paper is accepted to IEEE TSP.