ICDLT 2026 - 10th International Conference on Deep Learning Technologies (ICDLT 2026)

Website https://www.icdlt.org/index.html | Edit Freely

Category Deep Learning

Deadline: June 10, 2026 | Date: July 17, 2026-July 19, 2026

Venue/Country: Kunming, China

Updated: 2025-11-28 16:00:25 (GMT+9)

Call For Papers - CFP

Official Website | https://www.icdlt.org/index.html

Date | July 17–19, 2026

Location | Kunming, China

Organizer | Kunming University of Science and Technology, Faculty of Information Engineering and Automation

Publication | ACM International Conference Proceedings, indexed by Ei Compendex and Scopus

ICDLT 2026 will be held in Kunming, China, during July 17-19, 2026. Organized by Kunming University of Science and Technology and hosted by the Faculty of Information Engineering and Automation, the conference aims to provide a high-level academic exchange platform for researchers, scholars, and engineers worldwide in the field of deep learning and related areas. Participants will have the opportunity to present cutting-edge research findings, discuss emerging trends, and promote academic and industrial collaboration.

We cordially invite experts from academia and industry to submit contributions, participate in oral presentations, poster sessions, and thematic discussions, and jointly advance innovation in deep learning theory and applications.

Publication

All accepted papers of ICDLT 2026 will be published in the ACM International Conference Proceedings and submitted for indexing in Ei Compendex and Scopus.

The ICDLT series has maintained a consistent record of successful indexing in previous years:

ICDLT 2025 Proceedings - 979-8-4007-1852-6 | ACM Digital Library | Ei & SCOPUS Index

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

For more details, please visit: https://www.icdlt.org/pub.html

Call for paper

Track 1: Deep Learning Model and Algorithm

Track 2: Machine Learning Theory and Technology

Track 3: Deep and Machine Learning Applications

Track 4: Responsible AI, Security, and Governance

Full topic list available at: http://www.icdlt.org/cfp.html

Submission

Full Paper Submission (Author Participation): Accepted papers will be published in the conference proceedings. Authors must present their work orally or via poster at the conference.

Abstract Submission (Presenter Participation): Presentation only (no publication).

Listener Participation: Attend all sessions and receive a listener certificate.

Submission System: https://www.zmeeting.org/submission/icdlt2026

Submission Email: icdltyoung.ac.cn

Templates: https://icdlt.org/acm_template.docx; https://icdlt.org/LaTeX-Templates.zip

For detailed submission guidelines, visit: https://icdlt.org/sub.html

Contact

Conference Secretary: Ms. Wu

Email: icdltyoung.ac.cn

Phone: +86-132-9000-0002