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The WSPML 2021 conference is now in the process of soliciting submissions of original and innovative papers. Authors are encouraged to submit original and previously unpublished papers. The submitted papers must not be previously published or accepted for publication elsewhere.

***Kindly notice that if you are planning to submit a full paper for publishing, you do not need to submit the abstract firstly, and you can submit the full paper once you finished it.

Submission Methods/Templates

How to submit:

Submit through the online submission system

 Submit to the conference official email:

Paper Template Download:

1, Abstract Template

2, Full Paper Template

Key Dates

Please pay attention to the following deadlines and submit your paper in time.

Full Submission: April 10, 2021

Abstract Submission: May 15, 2021

Author Notification: June 15, 2021

Final Version: July 10 2021

Registration: July 10 2021

Main Conference: Dec 1-3, 2021

Welcome to WSPML 2021

2021 3rd International Workshop on Signal Processing and Machine Learning (WSPML 2021) will be held in Beijing, China during Dec 1-3, 2021.

WSPML 2021 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Signal Processing and Machine Learning can be shared and examined. The conference is dedicated to providing the platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will present the latest studies through papers and oral presentations.

The WSPML 2021 conference committee is excited to invite authors and scholars from all over the world to participate in this significant conference, to enhance our knowledge and create new knowledge to help promote the advances and changes of the joint academic researches. 

WSPML 2021 is organized by The Hong Kong Society of Robotics and Automation(HKSRA).


All accepted and registered papers of WSPML 2021 will be published in the digital conference proceedings which will be sent to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc. 

A selection of papers will be recommended to be published in journals.


The detailed conference program will be updated when it is available. Please find the following brief version of the timetable for your reference and make your schedule in advance. 

Dec 1, 2021: Registration+Materials collection

Dec 2, 2021: Keynote Session+Parallel Sessions

Dec 3, 2021: Parallel Sessions+Social Network Event


The primary topic of WSPML 2021 is on Signal Processing and Machine Learning. Specifically, the conference has a broad scope of topics. Click the picture below to find more topics.

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Join the Review Board

We sincerely welcome professors, associate professors, teachers and other experts in the areas of Signal Processing and Machine Learning to join the conference as a scientific committee member for helping review the papers submitted to our WSPML 2021 conference. 

If you are interested in joining us, please kindly send your latest CV to Your request will be processed in 5 working days.

WSPML 2020 Best Reviewer


Dr. Wong Ka Chun

City University of Hong Kong, Hong Kong

Join as a Listener

The WSPML is a global event focused on Signal Processing and Machine Learning. It is a good chance and an effective platform to meet many renowned experts and researchers in the common research fields. If you just want to attend the conference to communicate with other scholars and listen to their speeches, without publishing papers or doing presentations, you can join us as a listener.

For joining as the listener, you will be encouraged to download and fill in the WSPML 2021 Registration Form, then send your finished registration form and payment voucher to

Contact us

Ms. Willa P. P. Wong


Tel:+852-30697093 (English)

Supported by

WSPML 2021 will be held by HKSRA during Dec 3-5, 2021 in Beijing, China.

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