Call for Papers DSLW 2021 - Deadline: 15 October 2020

The DSLW team is inviting you to submit regular papers to the 2021 IEEE Data Science & Learning Workshop (DSLW 2021), a new workshop organized by the IEEE Signal Processing Society. The workshop aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science, learning theory and applications. DSLW 2021, will be co-located with ICASSP 2021, and will be held in Toronto, Canada on June 05 - 06, 2021.

 

The deadline for paper submission is - October 15, 2020. 

 

Prospective authors are invited to submit regular papers (6 pages of technical information + 1 page of reference, with optional supplemental material limited to 2 pages). DSLW 2021 will use double-blind review. Manuscripts should be original and written in accordance with the standard IEEE 2-column paper template. Accepted papers will be indexed on IEEE Xplore. 

 

Only high-quality papers will be accepted, and the targeted paper acceptance rate is 25%. Please visit DSLW 2021 website for more information, https://conferences.ece.ubc.ca/dslw2021.

 

We look forward to seeing you in Toronto for the meeting! 

 

 

Co-General Chairs: Stark Draper, Z. Jane Wang (zjanew@ece.ubc.ca)

Co-Technical Chairs: Purang Abolmaesum, Qiang Yang, Dong Yu