Yongchao Zhang — accepted AI-conference papers

2026

BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis

Jiajun Ma, Yongchao Zhang, Chao Zhang, Zhao Lv, Shengbing Pei

AAAI 2026technical

Graph Transformer shows remarkable potential in brain network analysis due to its ability to model graph structures and complex node relationships. Most existing methods typically model the brain as a flat network, ignoring its modular structure, and their attention mechanisms treat all brain region

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2026

Origami-Inspired 3-DoF Robotic Joint Design With Pneumatic Actuators

Yi Yu, Zhaoyan Deng, Hongbo Sun, Ning Zhao, Yongchao Zhang, Peng Chen +1

RA-L 2026

Soft pneumatic joints, as the core components of soft robotic manipulators, often face a trade-off between multiple degrees of freedom (DoF) mobility and load capacity. Inspired by the Yoshimura origami pattern, this paper presents a rigid–soft hybrid pneumatic joint. Through spatially ordered place

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