Submission
The WSPML 2023 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 Authors are encouraged to submit original and previously unpublished papers.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
Paper Template Download:
Key Dates
Please pay attention to the following deadlines and submit your paper in time.
Abstract Submission: April 5, 2023
Full Submission: April 15, 2023
Registration: April 29, 2023
Main Conference: September 22-24, 2023
Welcome to WSPML 2023
On behalf of the Organizing Committee, we are delighted to welcome you to attend 2023 International Workshop on Signal Processing and Machine Learning (WSPML 2023) that will take place in Hangzhou, China during September 22-24, 2023.
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 Hangzhou, China.
On behalf of WSPML Organizing Committee
Publication
Accepted and presented papers of WSPML 2023 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 2023 will be recommended to be submitted for publication in journal.
Program
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.
September 22, 2023: Registration+Materials collection
September 23, 2023: Keynote Session+Parallel Sessions
September 24, 2023: Parallel Sessions+Social Network Event
CFP
The primary topic of WSPML 2023 is on Signal Processing and Machine Learning. Specifically, the conference has a broad scope of topics. Click the picture below to find more topics.
Membership Application
By joining HKSRA, you'll have the opportunity to keep in touch with the latest developments and technical advancements in your field. You’ll also enjoy the benefits of networking with fellow scientists and engineers and get special access to the many exclusive member-only services.
If you are interested in joining HKSRA as a member, please fill in and send the Membership Application Form, together with your CV to inquiry@wspml.org.
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 2023 Registration Form, then send your finished registration form and payment voucher to inquiry@wspml.org.
Contact us
Vicky J.Y Lau
Email: inquiry@wspml.org
Tel:+852-30697093 (English)
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