◕ 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.