Ruikang Zhang — accepted AI-conference papers

2026

HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation

Jiajun Zhang, Shijia Luo, Ruikang Zhang, Qi Su

CVPR 2026

Humor, as both a creative human activity and a social binding mechanism, has long posed a major challenge for AI generation. Although producing humor requires complex cognitive reasoning and social understanding, theories of humor suggest that it follows learnable patterns and structures, making it

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2025

MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning

Guancheng Wan, Fengyuan Ran, Ruikang Zhang, Wenke Huang, Xuankun Rong, Guibin Zhang +3

NeurIPS 2025poster

Graph neural networks (GNNs) have achieved remarkable success in various domains but typically rely on centralized, static graphs, which limits their applicability in distributed, evolving environments. To address this limitation, we define the task of Federated Continual Graph Learning (FCGL), a pa…

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