FW: Presentation Requested for Apache MXNet Day

[apachemxnetday <ap...@nvidia.com>]

From: 王赫 <he...@mail.bnu.edu.cn>
Date: Sunday, November 8, 2020 at 11:03 PM
To: apachemxnetday <ap...@nvidia.com>
Subject: Re: Presentation Requested for Apache MXNet Day

I would like to give a presentation on my recent work. It relates on category of "research and applications" for Apache MXNet.


Title:
Matched-filtering Techniques and Deep Neural Networks —— Application for Gravitational Wave Astronomy

Abstract:
Deep learning is a neural-inspired pattern recognition technique that has been shown to be as effective as conventional signal processing. And It has been shown have considerable potential to identify gravitational-wave (GW) signals in highly noisy data. In this talk, I will first review some related works on the detection and characterization of GW signals and some fundamental background of GW data. I will then present our recent paper (DOI: 10.1103/physrevd.101.104003<https://journals.aps.org/prd/abstract/10.1103/PhysRevD.101.104003>) about the effect of matched-filtering convolutional neural networks (MFCNN) we proposed on the GW recognition and identifying generalization properties of gravitational waves. Powered by MXNet, a brand-new network architecture is presented. At last, some insights on the model are presented.


He Wang

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He WANG (王赫), Postdoc at ITP-CAS, Ph.D. from BNU.
Member of KAGRA collaboration.
Phone: +86 188 1155  7200
Email:  hewang@itp.ac.cn<ma...@itp.ac.cn>/ hewang@mail.bnu.edu.cn<ma...@mail.bnu.edu.cn>
My Site: https://iphysresearch.github.io/
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