Signal Processingartificial intelligenceComputer Science and Technologies

SPML 2026 information:
1. SPML 2026 is co-organized by Hangzhou Dianzi University and China University of Mining and Technology, China.
2. The accepted and registered papers can be published in conference proceedings, which will be submitted to EI Compendex and Scopus for indexing.
3. Prof. Jie Lu AO from University of Technology Sydney, Australia (IEEE Fellow) will be the keynote speaker.
4. Prof. Miao Hu from Hangzhou Dianzi University, China and Prof. Wei Chen from China University of Mining and Technology, China are the conference chairs.
5. Publication:
All the accepted and registered papers in SPML 2020 have been published into ACM conference proceedings (ISBN: 978-1-4503-7573-3), which have been indexed by EI Compendex and Scopus.
All the accepted and registered papers in SPML 2021 have been published into ACM conference proceedings (ISBN: 978-1-4503-9017-0), which have been indexed by EI Compendex and Scopus.
All the accepted and registered papers in SPML 2022 have been published into ACM conference proceedings (ISBN: 978-1-4503-9691-2), which have been indexed by EI Compendex and Scopus.
All the accepted and registered papers in SPML 2023 have been published into ACM conference proceedings (ISBN: 979-8-4007-0757-5), which have been indexed by EI Compendex and Scopus.
All the accepted and registered papers in SPML 2024 have been published into ACM conference proceedings (ISBN: 979-8-4007-1719-2), which have been indexed by EI Compendex and Scopus.
All the accepted and registered papers in SPML 2025 have been published into IEEE conference proceedings (ISBN: 979-8-3315-1369-6).

Conference Venue:
Hangzhou Dianzi University, Hangzhou, China
Address: No. 1158, 2nd Street, Baiyang Street, Qiantang District, Hangzhou City

Submission and Contact Methods:
Submission Methods: https://www.zmeeting.org/submission/SPML2026
Conference Specialist: Ms. Willow Wong
Wechat: 18149749902

SPML 2026 can provide a better platform for academic communication in Signal Processing and Machine Learning in theoretical and practical aspects.
For more conference information, please visit the conference website: http://www.spml.net