News Update

August 12, 2019.
ICDLT 2019 conference proceedings has been archived in ACM Digital Library. Read More

June 21, 2019.
For your earlier arrangment, please refer to the brief program. Read More

June 3, 2019.
Keynote speaker Prof. Chin-Chen Chang released his speech title and abstract.

May 1, 2019.
Attention! Submission final call! The submission deadline has been extended till May 25, 2019.

April 6, 2019.
Cconference venue: Huaqiao University, Xiamen Campus: No.668 Jimei Avenue, Xiamen, Fujian, China 361021  Please refer to more details

March 26, 2019.
The submission deadline has been extended till April 30, 2019.

March 4, 2019. News!
The profile of keynote speaker Prof. Xinpeng Zhang from Fudan University, China has been updated online.

February 21, 2019. News!
The submission deadline has been extended till March 25, 2019.

November 16, 2018. News!
2019 3rd International Conference on Deep Learning Technologies will be held during July 5-7, 2019, Xiamen, China. Welcome to ICDLT 2019!

November 5, 2018. News!
ICDLT 2018 conference proceedings has been indexed by EI Compendex and Scopus already. It's completed about 5 months after the event.

June 30, 2018. News!
ICDLT 2018 was successfully held at Chongqing University of Posts and Telecommunications. Thanks for all of your supports!
感谢大家的支持,ICDLT 2018 在重庆邮电大学顺利召开

July 11, 2018. News!
ICDLT 2017 conference proceedings has been indexed by EI compendex and scopus.Please click here
ICDLT 2017 会议论文集已经被 Ei Compendex 检索, 被SCOPUS 检索

August 5, 2017. News!
Thanks for all the supports! ICDLT 2017 was successfully held in Chengdu. (Read More)

Dec 27, 2016. News!
ICDLT 2017 has been listed in Sciencemeeting Online, which is administrated by Ministry of Education of the People's Republic of China. Click
ICDLT 2017目前已经进入由中国教育部主管的中国学术会议在线会议列表, 点击查看

Sep 7, 2016. News!
2017 International Conference on Deep Learning Technologies will be held during June 2-4, 2017, Chengdu, China, in order to provide a valuable opportunity for researchers ,scholars and scientists to exchange their ideas face to face in DLT.
 
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