ICIP 2026 Satellite Workshop

Title: The Second Workshop On Learning Beyond Deep Learning (LBDL II)

Description:

There has been rapid development in artificial intelligence and machine learning technologies over the last decade. The core lies in large amounts of annotated training data and deep learning networks. Although deep learning networks have significantly impacted various application domains, they have several shortcomings. They are mathematically intractable, vulnerable to adversarial attacks, and require substantial training data. Furthermore, their large model sizes make deploying mobile and edge devices a significant challenge. Developing new learning paradigms beyond deep learning is desirable. Yet, progress in this direction remains slow and sparse, despite advancements in recent years. This workshop invites researchers of common interests to contribute and generate momentum for future breakthroughs. One or more characteristics will feature the new learning paradigm: interpretability, smaller model sizes, lower computational complexities, and high performance.

Submission Guidelines:

Please submit your work using the following link:
https://icip2026.exordo.com/

We invite authors to submit original, unpublished full papers to the workshop. All submissions must adhere to the 6-page format of the main ICIP conference. Accepted papers will be published in the IEEE Xplore ICIP 2026 Workshop Proceedings.

Organizers:

• C.-C. Jay Kuo, University of Southern California, USA, email: jckuo@usc.edu
• Ling Guan, Toronto Metropolitan Univ/Ryerson Univ, Canada, email: lguan@ee.ryerson.ca

Technical Program Committee Members:

• Gene Cheung (York University, Canada)
• Lei Gao (Wilfrid Laurier University, Canada)
• Dongwoo Kang (Hongik University, Korea)
• Jewon Kang (Ewha Womans University, Korea)
• Ivan Lee (Adelaide University, Australia)
• Ming-Sui Lee (National Taiwan University, Taiwan)
• Jianquan Liu (NEC Corporation, Japan)
• Xiaofeng Liu (Yale University, USA)
• Paisarn Muneesawang (Mahidol University, Thailand)
• Simon Pun (Chinese University of Hong Kong (Shenzhen), China)
• Yuzhuo Ren (Nvidia, USA)
• Xinchao Wang (National University of Singapore, Singapore)
• Harry Yang (Hong Kong University of Science and Technology, Hong Kong, China)
• Niclas Zeller (Hochschule Karlsruhe University of Applied Sciences, Germany)