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The WSPML 2022 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 Authors are encouraged to submit original and previously unpublished papers.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 and 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.

Abstract Submission: December 5, 2022

Full Submission: December 10, 2022

Registration: December 15, 2022

Main Conference: December 16-18, 2022 (online)

Welcome to WSPML 2022

On behalf of the Organizing Committee, we are delighted to welcome you to attend 2022 4th International Workshop on Signal Processing and Machine Learning (WSPML 2022) that will take place in Beijing (online), China during December 16-18, 2022.

We live in an ever-changing world combined with the boost of technological innovations and expansion of science discoveries. WSPML aims to provide an open forum for researchers, engineers, scientists and industrial delegates working in signal processing and machine leaning, where the latest insights and research findings can be shared through invited speeches, oral and poster sessions as well as networking events. 

The Organizing Committee is excited to invite authors and scholars from all over the world to come together for this wonderful event to enhance our knowledge and create new knowledge to help promote the advances and changes of the joint academic researches. 

Beijing, as one of the metropolitans in the world, is a beautiful part of the world full of some of the most striking sceneries such as Great Wall, Hutong and the Forbidden City, not to mention delicate Chinese cuisines. We believe all of these will leave you with precious memories and experiences.

We cannot wait to meet you all in Beijing, China.

On behalf of WSPML Organizing Committee


Accepted and presented papers of WSPML 2022 will be published in the digital conference proceedings which will submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.

Selected Papers from WSPML 2022 will be recommended to be submitted for publication in journal. 


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

Dec 16, 2022: Registration+Materials collection

Dec 17, 2022: Keynote Session+Parallel Sessions

Dec 18, 2022: Parallel Sessions+Social Network Event


The primary topic of WSPML 2022 is on Signal Processing and Machine Learning. Specifically, the conference has a broad scope of topics. Click the picture below to find more topics.


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 2022 conference. 

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

Join as a Listener

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 2022 Registration Form, then send your finished registration form and payment voucher to

Contact us

Ms. Willa P. P. Wong


Tel:+852-30697093 (English)

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