IEEE 2026 International Conference of Granular-Ball Computing (ICGBC 2026) will be held grandly in Chongqing, China, from October 16 to 18, 2026.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://ais.cn/u/RJR7fm

---𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀---
The topics of interest include, but are not limited to:
◕Fundamental Theories of Granular-Ball Computing
Granular ball representation modeling and generation optimization mechanisms
Neuropsychological cognitive mechanisms and performance analysis of granular-ball computing
Mathematical theories of granular-ball computing
Granular-ball ranking
Etc.

◕Supervised Granular Ball Learning
Optimization of supervised granular ball generation
Granular ball abductive learning
Granular ball rough sets
Granular ball fuzzy sets
Granular ball concept cognition
Granular ball classifiers
A principle of justifiable granularity for granular balls
Granular ball support vector machine
Granular ball neighborhood relations
Granular ball multi-label learning
Granular ball continual and open learning
Granular ball sampling
Granular ball cloud models
Granular ball kernel learning
Granular ball regression
Granular ball fault detection
etc.

◕ Unsupervised Granular Ball Learning
Optimization of unsupervised granular ball generation
Granular ball clustering methods
Granular ball kernel learning
A principle of justifiable granularity for granular balls
Granular ball anomaly and outlier detection and other unsupervised granular ball learning methods.

◕ Granular Ball Image Representation and Visual Computing
Granular ball image representation and its applications to image classification, image retrieval, and object recognition; granular ball image-text retrieval
Granular ball superpixel learning
Granular ball image data augmentation
Applications of granular balls in multimodal reasoning, compression, and retrieval augmentation
Granular ball image-text alignment, cross-modal matching, and semantic modeling
Granular ball multimodal large models
Granular ball visual coding and decoding
Granular ball 3D modeling
Granular ball point cloud computing
Granular ball style alignment
etc.

◕Granular Ball Deep Learning
Robust deep learning based on latent-space granular-ballization, together with its applications to granular-ball-based image classification, granular ball reinforcement learning, granular ball natural language processing, granular ball temporal analysis, granular ball object detection, granular ball domain generalization crowd counting, and other end-to-end granular ball deep learning solutions.

◕Granular Ball Graph Learning
Supervised and unsupervised granular-ball graph representation
Granular ball graph coarsening
Granular ball graph node classification
Granular ball graph classification
Granular ball graph clustering
Granular ball graph contrastive learning
Granular ball graph link prediction
Granular ball graph rewriting
Granular ball graph augmentation
Large-scale granular ball graph learning
Interpretable granular ball graph learning and other graph learning methods based on granular-ball computing.

◕Granular Ball Computing Theories in Other Related Fields
Granular ball semantic communications
Granular ball three-way decision
Guantum granular ball machine learning
Granular ball swarm intelligence
Granular ball evolutionary computation
Granular ball blockchain
Granular ball federated learning
Granular ball privacy-preserving computing
Granular ball spatial intelligence
Granular ball world models
Granular ball databases
Granular ball signal processing
Granular ball edge computing
Granular-ball computing for science and interdisciplinary studies combining granular-ball computing with other related fields.

◕Fundamental Theories of Granular-Ball Computing
Granular ball representation modeling and generation optimization mechanisms
Neuropsychological cognitive mechanisms and performance analysis of granular-ball computing
Mathematical theories of granular-ball computing
Granular-ball ranking
Etc.

--- 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
Prof. Qinghua Hu,Tianjin University, China
Prof. Jiye Liang, IEEE/ CAAI Fellow,Shanxi University, China
Prof. Duoqian Miao, IRSS/CAAI Fellow,Tongji University, China
Prof. Yuhua Qian,Shanxi University, China
Prof. Shuo Shang, University of Electronic Science And Technology of China, China

---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All accepted full papers will be published in IEEE (ISBN:979-8-3195-4462-9) and will be submitted to IEEE Xplore, EI Compendex, Scopus and Inspec for indexing.

---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Full paper submission date: September 1, 2026
Final paper submission date: September 16, 2026
Registration Deadline: October 1, 2026
Conference Dates: October 16-18, 2026

--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the full paper(word+pdf) to Submission System:
https://ais.cn/u/RJR7fm