[hpc-announce] CFP: First Workshop on Deep Learning for Science 2019

[Fu, Huansong]

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CALL FOR PAPERS - DL4Sci 2019

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DL4Sci 2019 - First Workshop on Deep Learning for Science

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https://www.mcs.anl.gov/events/workshops/dl4sci/

Monday January 14th, 2019

Guangzhou, China

Held in conjunction with HPC Asia 2019:  The International Conference
on High Performance Computing in Asia-Pacific Region

* Paper submission: November 23rd, 2018
* Author notification: December 15th, 2018
* Camera-Ready Copy: December 30th, 2018
* Workshop Dates: January 14th, 2019

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Deep Learning is an emerging field with numerous utilities in the real world,
ranging from commercial applications to traditional scientific domains.
Its ability to process large volumes of data to find interesting trends has found
a number of opportunities in practically all aspects of life.
The proposed workshop on Deep Learning for Science aims at bringing together
researchers studying both hardware and software aspects related to deep
learning as applied to science.  The workshop aims to serve as a forum to
discuss the most recent development on deep-learning based research and
its applications to science.


Topics of interest (but are not limited to)
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This workshop will cover researches in deep learning algorithm development
and its applications as applied to science.  Specific topics include:
* Deep learning algorithms
* Science applications using deep learning
* Deep Learning Chips / architecture
* Data-intensive sciences
* Mining big data
* Big Data analytics for science


Paper submission guidelines
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All submissions will be electronic via Easychair:
https://easychair.org/conferences/?conf=dl4sci
Authors are invited to submit technical papers of at most 10 pages
(regular paper) or 4 pages (short paper) in PDF format including figures,
tables and references. 
Papers should be formatted in the ACM Proceedings Style which can be
got in the following page:
https://www.acm.org/publications/proceedings-template.


Program Chairs
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Pavan Balaji, Argonne National Laboratory
James Lin, Shanghai Jiao Tong University
Yanjie Wei, Shenzhen Institute of Advanced Technologies, Chinese
  Academy of Sciences


Technical Program Committee
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Wesley Bland, Intel
Weiguo Liu, Shandong University
Min Si, Argonne National Lab
Tao Wang, Shanghai Supercomputer Center
Yi-Chao Wang, Shanghai Jiao Tong University
Wei Xue, Tsinghua University
Zhibin Yu, Shenzhen Institutes of Advanced Technology, Chinese
  Academy of Sciences
Amelie Chi Zhou, Shenzhen University
Huming Zhu, Xidian University

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Thanks,
The DL4Sci'19 Organizing Committee