Sequential Data Modeling and Its Emerging Applications

Submission Deadline: 15 December 2017

IEEE Access invites manuscript submissions in the area of Sequential Data Modeling and Its Emerging Applications.

With the tremendous advance of technologies in data collection and storage, sequential data is becoming more and more ubiquitous in a wide spectrum of application scenarios. There are various embodiments of sequential data such as time series/video frames and event data, where the former is synchronous over time and the latter is often generated in an asynchronous fashion. It bears important practical utility for learning and understanding the dynamic behavior as well as the causality relationships across sequences, and it also calls for robust models to handle with noisy and incomplete sequence data in real-world settings.

The objective of this Special Section in IEEE Access is to bring together the state-of-the-art research contributions that address key aspects of sequential data modeling and their novel applications, such as sequence learning for clinical trials in healthcare, failure tickets in device maintenance, transactions in e-commerce, which will help identify the fundamental methodology and key technology for cross-discipline research and applications. All submitted articles will be peer-reviewed and selected on the basis of their quality and relevance to the theme of this Special Section.

The topics of interest include, but are not limited to:

  • Event data analysis theory and algorithms
  • Sequential data processing system and database
  • Sequential data modeling with deep learning
  • Sequential data modeling with reinforcement learning
  • Sequential data modeling with point process model
  • Sequential data modeling for time series
  • Sequential data modeling for bioinformatics
  • Sequential data modeling for multimedia and visual computing
  • Sequential data modeling for healthcare
  • Sequential data modeling for industry and reliability
  • Sequential data modeling for smart city
  • Sequential data modeling for environmental sustainability
  • Sequential data modeling for web and social network
  • Sequential data modeling for personalization and behavioral study
  • New emerging applications


We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor: Junchi Yan, IBM Research, China

Guest Editors:

  1. Xiaoyong Pan, Erasmus MC, Rotterdam, Netherlands
  2. Liangda Li, Yahoo Research, USA
  3. Changsheng Li, Alibaba Group, China
  4. Peng Cui, Tsinghua University, China
  5. Chao Ma, University of Adelaide, Australia


Relevant IEEE Access Special Sections:

  1. Big Data Analytics in Internet of Things and Cyber-Physical Systems
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Intelligent Systems for the Internet of Things


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: