From 0b4206421d1772a8693e36bc9d3d7dabd4c19acb Mon Sep 17 00:00:00 2001 From: Hang Zheng <54340561+HangZheng98@users.noreply.github.com> Date: Tue, 10 Oct 2023 17:22:54 +0800 Subject: [PATCH] Update about.md --- _pages/about.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_pages/about.md b/_pages/about.md index 4e4993a365b..53a39a15bc4 100644 --- a/_pages/about.md +++ b/_pages/about.md @@ -20,7 +20,7 @@ redirect_from: I am a fifth-year Ph.D. student in the College of Information Science & Electronic Engineering (ISEE) at [Zhejiang University](https://www.zju.edu.cn/english/), Hangzhou, China, where I am jointly advised by Prof. [Zhiguo Shi](https://person.zju.edu.cn/shizg) (Vice dean of the College of ISEE), Prof. Quan Yu (Academician of the Chinese Academy of Engineering), and Prof. Chengwei Zhou. From Oct. 2022 to Oct. 2023, I am a joint training Ph.D. student in the Department of Acoustics & Signal Processing at [Aalto University](https://www.aalto.fi/en), Espoo, Finland, where I am supervised by Prof. [Sergiy Vorobyov](https://users.aalto.fi/~vorobys1/) (IEEE Fellow). -My research interest includes *array signal processing*, *tensor signal processing*, and *AI for signal processing*. To effectively process large-scale high-dimensional array signals in future communication and sensing systems, I developed the theories of sub-Nyquist tensor processing, efficient tensor optimization, and resource-efficient tensorized neural networks. The proposed methods facilitate direction-of-arrival (DOA) estimation, adaptive beamforming, and channel estimation with low system costs and competitive performance, laying the foundations for wireless communication, target localization, and anti-interference. +My research interest includes *array signal processing*, *tensor signal processing*, and *AI for signal processing*. To effectively process large-scale high-dimensional array signals in future communication and sensing systems, I developed the theories of sub-Nyquist tensor processing<\font>, efficient tensor optimization<\font>, and resource-efficient tensorized neural networks<\font>. The proposed methods facilitate direction-of-arrival (DOA) estimation, adaptive beamforming, and channel estimation with low system costs and competitive performance, laying the foundations for wireless communication, target localization, and anti-interference. I have published 20+ papers at top journals and international conferences with google citations .