2023 7th International Conference on Deep Learning Technologies (ICDLT 2023)

Publication
The ISBN number of ICDLT 2023 is 979-8-4007-0752-0. You are invited to submit manuscript to ICDLT 2023. The accepted paper will be included into ICDLT 2023 Conference Proceedings, which will be published in the International Conference Proceedings Series by ACM, which will be archived in  ACM Digital Library, and indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

- ICDLT has very credible publication index records via http://www.icdlt.org/pub.html

ICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | will be indexed soon
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
ICDLT 2017 Proceedings - 978-1-4503-5232-1 | ACM Digital Library | Ei & SCOPUS Index

Call for paper
Applications of Deep Learning in software.
Applications of Deep Learning in hardware.
Conceptual talks and cutting edge research on Deep Learning.
Building businesses with Deep Learning at the core.
More at: http://www.icdlt.org/cfp.html

Keynote Speakers
Prof. Dr. Yiu-Ming Cheung, FIEEE, FAAAS, FIET, FBCS, Hong Kong Baptist University, Hong Kong
Prof. Hua Huang, Beijing Normal University, China     
Prof. James Tin-Yau KWOK, IEEE Fellow, Hong Kong University of Science and Technology
Dr Hongying Meng, Brunel University London, UK

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/icdlt2023
or send it to [email protected]
Full paper submission template: http://www.icdlt.org/acm_template.docx
More detail about submission, please visit at http://www.icdlt.org/sub.html

Conference Venue
Hi Chance (Dalian) Science & Technology Center
Address: No.507 Huangpu Road, Ganjingzi District, Dalian, Liaoning, China
Phone：+86- 0411-62620777
Hi Chance Science & Technology Center is located in Ganjingzi District, a neighborhood in Dalian. The area's natural beauty can be seen at Xinghai Park and Ten Miles Gold Coast, while Dalian Modern Museum and Dalian Natural History Museum are cultural highlights. Sheng Ya Ocean World and Xinghai Bay Beach are also worth visiting.
The Hi Chance (Dalian) Science & Technology Center is an ideal spot for travelers wanting to discover the city. Visitors to Dalian will find that the Hi Chance (Dalian) Science & Technology Center is a fantastic accommodation choice.

Contact:
Ms. Gretchen Liu (Conference Secretary)
E-mail: [email protected]
Tel: +86-28-86527868
 (10am - 5pm, working day only)