ICDLT 2025 - 9th International Conference on Deep Learning Technologies (ICDLT 2025)
View: 283
Website https://icdlt.org/index.html |
Edit Freely
Category Deep Learning Technologies
Deadline: June 10, 2025 | Date: July 16, 2025-July 18, 2025
Venue/Country: Chengdu, China
Updated: 2025-04-16 15:52:15 (GMT+9)
Call For Papers - CFP
★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, China2025 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 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★ Accepted papers will be included in the ICDLT 2025 Conference Proceedings, published by ACM and archived in the ACM Digital Library. They will also be indexed by EI Compendex and Scopus, and submitted for review to theThomson Reuters Conference Proceedings Citation Index. 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 IndexICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS IndexICDLT 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: Deep Learning Model and Algorithm Track Chair: Hongping Gan, Northwestern Polytechnical University, ChinaTrack 2: Machine Learning Theory and Technology Track Chair: Liangjian Deng, University of Electronic Science and Technology of ChinaTrack 3: Deep and Machine Learning Applications Track Chair: Zhu Meng, Beijing University of Posts and Telecommunications, ChinaFor 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
young.ac.cnFull 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
young.ac.cnTel: +86-182-1565-4293 | +86-28-86527868(10am - 5pm, working day only)
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.