International Conference on Deep Learning Technologies on July 16-18, 2025 in Chengdu, China

International Conference on Deep Learning Technologies on July 16-18, 2025 in Chengdu, China

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 the Thomson Reuters Conference Proceedings Citation Index. ICDLT has very credible publication index records via https://icdlt.org/pub.html

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ICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS Index

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ICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS Index

 

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 [email protected]

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

 

Conference Schedule:

July 16, 2025---Sign-in for ICDLT 2025 (Conference Material Collection)

July 17, 2025 (Morning)---Opening Remarks & Keynote Speech

July 17, 2025 (Afternoon)---Parallel Sessions

July 18, 2025---Parallel Sessions

 

Contact:

Ms. Lesley Lei (Conference Secretary)

E-mail: [email protected]

Tel: +86-182-1565-4293 | +86-28-86527868

Wechat: iconf-cs-2 send ICDLT 2025

 

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, China

Track 2: Machine Learning Theory and Technology

Track Chair: Liangjian Deng, University of Electronic Science and Technology of China

Track 3: Deep and Machine Learning Applications

Track Chair: Zhu Meng, Beijing University of Posts and Telecommunications, China

For more topics, please visit at http://www.icdlt.org/cfp.html

 

Name: YOUNG

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