Tel No.+86-136 8834 9945 / +86-28-87555888

Special Session

ISKE 2023 Special Session on Explainable Deep Learning Techniques and Applications

The 2023 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2023) is the 18th in a series of ISKE conferences. The conference will be held in Fuzhou, a beautiful place in southeast of China.

The conference proceedings will be published by IEEE Press (sent to be EI indexed). Special issues of SCI indexed journals will be devoted to a strict refereed selection of extended papers presented at ISKE 2023.

Download CFP Flyer

Scope and Motivation

Deep learning is an artificial neural network-based frontier technique in artificial intelligence and has been widely used for speech processing, computer vision, and natural language processing. Focusing on this frontier technique and the era needs of developing explainable artificial intelligence (XAI), it is necessary and valuable to propose a series of new deep learning techniques based on advanced and explainable machine learning algorithms, so called explainable deep learning (XDL) techniques, which can foster the understanding of the underlying problem and the reasons behind decisions. Owing to XDL, it not only promotes the development of XAI, but also ensure that the current applications of deep learning are not merely accurate, but transparent and explainable.

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

  • XDL techniques based on data-driven, knowledge-driven, or both-driven modeling
  • XDL techniques with imbalanced learning
  • XDL techniques with big data
  • Rule base-based XDL techniques and its transparency, explainability and interpretability
  • XDL techniques for knowledge enhanced machine learning
  • Real-word applications with XDL techniques
  • XDL techniques for sensor-based smart home activity recognition

Important Dates

June 30, 2023 July 31, 2023

Full paper submission

July 31, 2023 August 31, 2023

Acceptance notification

Sept. 30, 2023 October 30, 2023

Camera-ready paper submission

Paper Submission

The authors are required to submit their papers to a Special Session following the steps below:

Submission by IEEE ISKE 2023 EasyChair Account selecting the name or the number of the Special Session.

Session Chairs

Long-Hao Yang, Fei-Fei Ye, Jun Liu, Yi-Xuan Lu

Contact Us

  • Long-Hao Yang
  • Email:
  • Address:Decision Sciences Institute
  • Fuzhou University, Fuzhou, China

Contact Us

  • Fei-Fei Ye
  • Email:
  • Address:School of Cultural Tourism and Public Administration
  • Fujian Normal University, Fuzhou, China

Contact Us

Contact Us

  • Yi-Xuan Lu
  • Email:
  • Address: School of Economics and Management
  • Fuzhou University, Fuzhou, China