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2023年第四届信号处理与机器学习国际研讨会(WSPML 2023)
会议日期:2023-9-22 至 2023-9-24
会议地点:杭州市(线上+线下会议)
收录检索:EI,Scopus
会议简介

2023年第四届信号处理与机器学习国际研讨会(WSPML 2023)

 

重要信息

会议网址:www.wspml.org

会议时间:20239月22-24

召开地点:中国杭州

截稿时间:2023年9月15日

录用通知:投稿后1

收录检索:EI,Scopus


主办单位:西安交通大学、重庆大学光电技术及系统教育部重点实验室

承办单位:华南理工大学


Committee


Conference Chairs





                  


Tapio Saram?ki

Tampere University, Finland 


Yang Yue

Xi'an Jiaotong University, China

SPIE Fellow


Chenwei Deng

Beijing Institute of Technology, China





Hong Huang

Chongqing University, China






Conference Co-Chairs







Linlin Shen

Shenzhen University, China


Haiquan Zhao

Southwest Jiaotong University, China


Huiping Zhuang

South China University of Technology, China


Program Chairs





            
  
  

Victor S. Sheng

Texas Tech University, USA       


Peng Lei

Beihang University, China


Speakers 2023

Keynote Speaker Ⅰ

Prof. Michalis Matthaiou

Queen’s University Belfast, United Kingdom

IEEE Fellow


Speech Title: Cell-free massive MIMO for next generation multiple access

Abstract: The next generation multiple access (NGMA) techniques are expected to achieve massive and ubiquitous access for a large number of devices and provide high spectral efficiency in ultra-dense networks. To meet these unprecedented mobile traffic demands, a paradigm shift from the conventional cellular networks towards distributed communication systems is required. Cell-free massive multiple-input multiple-output (CF-mMIMO) is considered as a practical and scalable embodiment of the distributed/ network MIMO systems, which inherits not only the key benefits from colocated massive MIMO systems, but also the macro-diversity gain from the distributed systems. In this paper, we provide an overview of current research efforts on the CF-mMIMO systems and their promising future application scenarios. Then, we elaborate on the new requirements for CF-mMIMO networks and propose a unifying framework for NGMA based on virtual full-duplex and CF-mMIMO.

A brief introduction to Prof. Michalis Matthaiou

Michalis Matthaiou is the Chair Professor of Communications Engineering and Signal Processing and Deputy Director of the Centre for Wireless Innovation (CWI) at Queen’s University Belfast, U.K. Dr. Matthaiou and his coauthors received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2017. He currently holds the ERC Consolidator Grant BEATRICE (2021-2026) focused on the interface between information and electromagnetic theories. He was awarded the prestigious 2018/2019 Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship and also received the 2019 EURASIP Early Career Award. His team was also the Grand Winner of the 2019 Mobile World Congress Challenge. He is currently the Editor-in-Chief of Elsevier Physical Communication, a Senior Editor for IEEE Wireless Communications Letters and IEEE Signal Processing Magazine, and an Associate Editor for IEEE Transactions on Communications.  He is an IEEE Fellow.


Keynote Speaker Ⅱ

Prof. Chik Patrick Yue

The Hong Kong University of Science and Technology, China

Member of ACM, Fellow of IEEE and OSA


Speech Title: Enabling Technologies for Multi-robot Human Collaboration

A brief introduction to Prof. Chik Patrick Yue: 

C. Patrick Yue (S’93–M’98–SM’05–F’15) received the BS degree in Electronic and Computer Engineering (Highest Hons.) from the University of Texas at Austin in 1992, the MS and PhD degrees in Electrical Engineering from Stanford University in 1994 and 1998, respectively. Based on his PhD thesis work, he co-founded Atheros Communications in 1998 and contributed to the development and deployment of the world's first IEEE802.11a CMOS Wi-Fi transceiver system-on-chip (SoC). In 2002, he joined Aeluros to work on CMOS high-speed PHY/SerDes IC design and signal integrity issues in chip packaging. Between 2001 and 2003, while working at the start-ups, he served as a Consulting Assistant Professor at Stanford in the EE Department focusing on research in the area of high-frequency CMOS IC design and RF device modeling. In 2003, he joined Carnegie Mellon University in Pittsburgh, PA as an Assistant Professor in the Department of Electrical and Computer Engineering. In 2006, he moved to the University of California, Santa Barbara and was promoted to full professor in 2010. Since 2011, he has been a Professor at the Hong Kong University of Science and Technology (HKUST) in the Department of Electronic and Computer Engineering. From 2014 to 2015, he served as the first Associate Provost for Knowledge Transfer at HKUST. In 2016, he took a sabbatical leave from HKUST to Tsinghua University, Beijing, PRC as a Visiting Chair Professor in the Institute of Microelectronics. In 2017, he founded LiPHY Communications to commercialize visible light communication (VLC) technology for smart building and IoT market. Currently, he is the Director of the HKUST Integrated Circuit Design Center (ICDC), the Optical Wireless Lab (OWL), and the HKUST-Qualcomm Joint Innovation and Research Lab. His research interest includes optical wireless physical layer circuits and systems, high-speed wireline communication SoC, millimeter-wave communication and sensing circuits, indoor positioning and image processing technologies for robotic applications, and edge computing accelerator design for IoT applications. Prof. Yue has contributed to more than 200 peer-reviewed articles, 20 granted patents, and 2 book chapters. He was awarded the eleventh Guanghua Engineering Science and Technology Youth Award by the Chinese Academy of Engineering (CAE) in 2016. He and his students received the IEEE International Solid-State Circuits Conference (ISSCC) Best Student Paper Award in 2003, the IEEE International Wireless Symposium (IWS) Best Student Paper Award in 2016, and the IEEE Circuits and Systems Society Outstanding Young Author Award in 2017. He has served on the technical program committees of the ISSCC, the IEEE Symposium on VLSI Circuits (VLSI-Circuits), the IEEE RFIC Symposium (RFIC), the IEEE European Solid-State Circuits Conference (ESSCIRC), the IEEE IWS, and the IEEE Asian Solid-State Circuits Conference (A-SSCC). He was an Editor for IEEE Electron Device Letters and IEEE Solid-State Circuits Magazine, and a Guest Editor for the IEEE Transactions on Microwave Theory and Techniques. Since 2018, he has been an Editor of the Proceedings of the IEEE. He was an Elected AdCom Member from 2015 to 2017 for the IEEE Solid-State Circuit Society (SSCS) and was a SSCS Distinguished Lecturer between 2017 and 2018. He served as the Vice-President of Membership of the IEEE SSCS between 2016 to 2021. Prof. Yue is a Member of ACM and a Fellow of IEEE and OSA.


更多主旨报告人正在邀请中。。。


会议简介

★2023年第四届信号处理与机器学习国际研讨会(WSPML 2023)---Ei Compendex&Scopus-Call for papers

20239月22-24,中国杭州|网址: www.wspml.org

 

★WSPML 2023将围绕“信号处理与机器学习”的研究领域而展开,为研究人员,工程师和学者,以及行业专业人士提供一个平台并介绍他们新的研究成果以及今后开发的活动,为参会人员们交流新的思想和应用经验建立业务或研究关系。本次会议将于2023年9月22-24日在中国杭州召开,在会议期间您将有机会聆听到前沿的学术报告,见证该领域的成果与进步。

 

议日程预览

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注册+接待

会议时间

内容

2023年9月22日

2023年9月23日

开幕式+KN演讲+分会场报告

2023年9月24日

分会场报告+实验室参观

 

 

关于出版和索引

所有接受的论文将将发表在SPIE会议论文集上独立出版,将被Ei Compendex,SCOPUS,Google Scholar,Cambridge Scientific Abstracts(CSA),Inspec, ISTP等检索,优秀论文将在国际期刊上发表。



 

征稿主题/会议征稿

自适应滤波与信号处理、adhoc网络与传感器网络、模拟和混合信号处理、应用(生物医学信号、生物计量学、生物信息学)、多通道自适应信号处理、阵列信号处理、人工神经网络、调制和信道编码、音频和电声学、自然语言处理、从序列中挖掘运动、音频/语音处理和编码.......

 

更多征稿主题请访问 http://www.wspml.org/cfp.htmls

 

投稿方式

CMT在线投稿:https://cmt3.research.microsoft.com/WSPML2023

请作者按照官网模板格式进行排版。排版好的论文全文(word+pdf版)发送至CMT在线系统。

 

投稿注意事项:

1.大会官方语言为英语,必须为全英文稿件;

2.保证文章原创性,未在国内外公开刊物或其它学术会议上发表过。

3.文章篇幅一般在5-12页之间,不少于5页,超过5页将收取超页费;

4.请按照官网上模板的格式编排。审稿周期约为3-7个工作日;

5.稿件不允许有剽窃行为,涉嫌抄袭的文章将不会送审。

6.提交摘要:即只参会做报告,不出版文章;

提交全文:即做参会做报告,并且出版文章;

听众:则不需要提交稿件,注册成功的听众可以参加会议的所有分会;

联系我们

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会议邮箱:inquiry@wspml.org

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