Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Tasks. - Youzhi Qu; Xinyao Jian; Wenxin Che; Penghui Du; Kai Fu; Quanying Liu (HBAI@IJCAI, 2022)

Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network. - Ziyuan Ye; Youzhi Qu; Zhichao Liang; Mo Wang; Quanying Liu (CoRR, 2022)

A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. - Wenwei Luo; Wanguang Yin; Quanying Liu; Youzhi Qu (CoRR, 2022)

Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics. - Shuhan Zheng; Zhichao Liang; Youzhi Qu; Qingyuan Wu; Haiyan Wu; Quanying Liu (Int. J. Neural Syst., 2022)

HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. - Wanguang Yin; Youzhi Qu; Zhengming Ma; Quanying Liu (Neurocomputing, 2022)

Integration of cognitive tasks into artificial general intelligence test for large models. - Youzhi Qu; Chen Wei 006; Penghui Du; Wenxin Che; Chi Zhang; Wanli Ouyang; Yatao Bian; Feiyang Xu; Bin Hu 001; Kai Du; Haiyan Wu; Jia Liu; et al. (CoRR, 2024)

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction. - Youzhi Qu; Junfeng Xia; Xinyao Jian; Wendu Li; Kaining Peng; Zhichao Liang; Haiyan Wu; Quanying Liu (CoRR, 2024)