Call for Abstracts

HKIE Transactions

Call for Abstracts – Theme Issue on Advanced Machine Learning Methods for Information Technology Convergence

Extension of Deadline for Abstract Submissions: Friday, 26 July 2019 at 5:00pm (Hong Kong time)


The HKIE Transactions Committee (HTC) is honoured to have Prof Jucheng YANG, at the College of Computer Science and Information Engineering, Tianjin University of Science and Technology, China, to be the Guest Editor for HKIE Transactions – Theme Issue on Advanced Machine Learning Methods for Information Technology Convergence.  This Theme Issue will be published in HKIE Transactions Volume 27, Number 2, June 2020 issue.  The HTC is now inviting submission of manuscripts to this Theme Issue.  Detailed information is as follows:


Introduction

Entering the era of big data, machine learning can be used to analyse a deluge of data automatically. The aim of machine learning is to develop methods to automatically detect patterns in data, and then use the uncovered patterns to predict future data or other outcomes of interest.

Researchers have made efforts in all aspects of machine learning, including basic theories, optimisation design, machine learning models and so on. Particularly, many new models and algorithms are emerged in the field of deep learning face representation/recognition to the big data, such as the generative adversarial networks, variational autoencoders, and activity learning etc. Deep learning algorithms have made great achievements in big data applications, especially in the image proceeding, speech recognition, and natural language processing.

This theme issue welcomes a broad range of submissions of advanced machine learning for information technology convergence. By gathering a set of recent research outputs together, the editors expect to report on the progress, and to provide a forum for researchers to exchange their innovative ideas on advanced machine learning and its applications. Original papers in all these relevant areas will be considered.

Topics suitable for inclusion include:


  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Multi-outputs learning
  • Deep learning
  • Representation learning
  • Applications in all areas, such as image proceeding, speech recognition, natural language processing, automatic drive, biomedical, bioinformatics, information processing, etc.

Abstracts

Abstracts for proposed manuscripts should be 400-500 words in length.  Please submit the abstracts with the affiliation of the author(s) to hkietransactions@hkie.org.hk on or before Friday, 26 July 2019 at 5:00pm (Hong Kong time).


Final Manuscripts

The deadline for final manuscript submission is Friday, 1 November 2019.  All manuscripts should be submitted through the HKIE Transactions ScholarOne Manuscripts site.  New users should first create a login account.  Once logged on to the site, submissions should be made via the Author Centre.  For details of the manuscript submission, please refer to the ScholarOne Manuscripts site: http://mc.manuscriptcentral.com/thie.


Enquiries
Corporate Communications Section

Tel: +852 2830 9067

Email: hkietransactions@hkie.org.hk.


Remarks:

  1. The Editors reserve the right to withhold any or all of the manuscripts at their absolute discretion.
  2. The Editors’ decision is final and no correspondence will be entered into.

 

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