Danxin Wang — accepted AI-conference papers

2026

Retrieval-driven Reasoning for Deliberative Visual Classification

Jianye Xie, Lianyong Qi, Fan Wang, Anqi Wang, Wenjuan Gong, Danxin Wang +4

AAAI 2026technical

Vision-Language Models (VLMs) have demonstrated remarkable capabilities in visual classification tasks. Existing methods for enhancing VLMs on this task often rely heavily on direct category-to-image matching, which limits generalization and results in suboptimal performance. In addition, these meth

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2026

Revisiting Hypernetwork in Model Heterogeneous Personalized Federated Learning

Chen Zhang, Husheng Li, Xiang Liu, Linshan Jiang, Danxin Wang

IJCAI 2026

Recent personalized federated learning research focuses on heterogeneous models across clients. However, existing methods often rely on external data, model decoupling, and partial learning, which makes them sensitive to settings. In contrast, we revisit hypernetworks and leverage their strong gener

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