Introduction

Broad Learning (BL) has emerged as a powerful and efficient framework for feature learning and modeling, complementing and enhancing traditional intelligent data mining techniques by enabling fast training, flexible feature fusion, and low computational complexity. This track focuses on the latest theoretical breakthroughs, algorithmic innovations, and practical applications at the intersection of Broad Learning and Intelligent Data Mining. It aims to gather global academic achievements and industrial practices addressing key challenges such as efficient feature learning for data mining, Broad Learning-driven knowledge discovery, and robust mining of complex data.

Topics

• Advanced Broad Learning Algorithms for Data Mining
• Broad Learning-Enhanced Knowledge Discovery
• Efficient Data Mining with Lightweight Broad Learning Models
• Trustworthy and Robust Broad Learning for Data Mining
• Cross-Domain Intelligent Data Mining Based on Broad Learning

Important Dates

• Submission Deadline: February 15, 2026 (1st round), March 30, 2026 (2nd round)
• Notification of Acceptance: March 15, 2026 (1st round), April 10, 2026 (2nd round)
• Camera-Ready Deadline: April 15, 2026
• Conference Dates: May 8–10, 2026

Awards

ICI 2026 will present Best Paper, Best Student Paper, and Outstanding Contribution awards. All accepted papers will be considered based on originality, technical depth, presentation quality, and research impact.

Manuscript Guidelines

• Papers must be clearly presented in English, not exceed 14 pages  in Springer LNCS format. (Template: https://ici2026.intelligence-conf.com/Manuscript_Templates_ICI2026.zip)
• All accepted papers will be published by Springer  and will be indexed by EI Compendex. 
• Submit in PDF format via: https://easychair.org/conferences/?conf=ici2026
• Distinguished papers will be recommended to special issues of selected journals:

1. 1. IEEE Transactions on Consumer Electronics (SCI)
   2. Applied Sciences-Basel (SCI)
   3. 广州大学学报
   4. 通信学报
   5. International Journal of Embedded Systems (EI)
   6. International Journal of Computational Science and Engineering (EI)

We warmly welcome your submissions and look forward to your participation in ICI 2026 in beautiful Zhuhai, China