ICDLT 2025 - 9th International Conference on Deep Learning Technologies (ICDLT 2025)
Date2025-07-16 - 2025-07-18
Deadline2025-03-01
VenueChengdu, China
KeywordsDeep Learning
Websitehttps://icdlt.org/index.html
Topics/Call fo Papers
★Full Name: 2025 9th International Conference on Deep Learning Technologies (ICDLT 2025)
★Abbreviation: ICDLT 2025
★Website: https://icdlt.org/index.html
★Time: July 16-18, 2025
★Place: Chengdu, China
2025 9th International Conference on Deep Learning Technologies will be held during July 16-18, 2025 in Chengdu, China. It's organized by Sichuan University and IEEE, and organized by the School of Electronics and Information Engineering of Sichuan University. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.
We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome.
★★ Publication
The accepted paper will be included into ICDLT 2025 Conference Proceedings and indexed by EI Compendex, Scopus.
- ICDLT has very credible publication index records via https://icdlt.org/pub.html
ICDLT 2024 Proceedings - 979-8-4007-1686-7 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS Index
★Call for paper★
Topics of interest include, but are not limited to:
Track 1: Applications of Deep Learning in software
Track 2: Applications of Deep Learning in hardware
Track 3: Conceptual talks and cutting edge research on Deep Learning
Track 4: Building businesses with Deep Learning at the core
For more topics, please visit at http://www.icdlt.org/cfp.html
★Submission★
1. Full paper (publication and presentation)
2. Abstract (presentation only)
For paper submission, please upload it to the Electronic Submission System: https://www.zmeeting.org/submission/icdlt2025
or send it to icdlt-AT-young.ac.cn
Full paper submission template: https://icdlt.org/acm_template.docx; https://icdlt.org/LaTeX-Templates.zip
More detail about submission, please visit at https://icdlt.org/sub.html
★★Contact
Ms. Lesley Lei (Conference Secretary)
E-mail: icdlt-AT-young.ac.cn
Tel: +86-180-1066-7294 | +86-28-86527868
(10am - 5pm, working day only)
★Abbreviation: ICDLT 2025
★Website: https://icdlt.org/index.html
★Time: July 16-18, 2025
★Place: Chengdu, China
2025 9th International Conference on Deep Learning Technologies will be held during July 16-18, 2025 in Chengdu, China. It's organized by Sichuan University and IEEE, and organized by the School of Electronics and Information Engineering of Sichuan University. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.
We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome.
★★ Publication
The accepted paper will be included into ICDLT 2025 Conference Proceedings and indexed by EI Compendex, Scopus.
- ICDLT has very credible publication index records via https://icdlt.org/pub.html
ICDLT 2024 Proceedings - 979-8-4007-1686-7 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS Index
★Call for paper★
Topics of interest include, but are not limited to:
Track 1: Applications of Deep Learning in software
Track 2: Applications of Deep Learning in hardware
Track 3: Conceptual talks and cutting edge research on Deep Learning
Track 4: Building businesses with Deep Learning at the core
For more topics, please visit at http://www.icdlt.org/cfp.html
★Submission★
1. Full paper (publication and presentation)
2. Abstract (presentation only)
For paper submission, please upload it to the Electronic Submission System: https://www.zmeeting.org/submission/icdlt2025
or send it to icdlt-AT-young.ac.cn
Full paper submission template: https://icdlt.org/acm_template.docx; https://icdlt.org/LaTeX-Templates.zip
More detail about submission, please visit at https://icdlt.org/sub.html
★★Contact
Ms. Lesley Lei (Conference Secretary)
E-mail: icdlt-AT-young.ac.cn
Tel: +86-180-1066-7294 | +86-28-86527868
(10am - 5pm, working day only)
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Last modified: 2024-11-07 16:10:02