Chen, Ziheng

10 publications

IJCAI 2025 A Correlation Manifold Self-Attention Network for EEG Decoding Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen

ICLR 2025 Gyrogroup Batch Normalization Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

CVPR 2025 Learning to Normalize on the SPD Manifold Under Bures-Wasserstein Geometry Rui Wang, Shaocheng Jin, Ziheng Chen, Xiaoqing Luo, Xiao-Jun Wu

NeurIPS 2025 Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds Rui Wang, Chen Hu, Xiaoning Song, Xiaojun Wu, Nicu Sebe, Ziheng Chen

ICLR 2025 Understanding Matrix Function Normalizations in Covariance Pooling Through the Lens of Riemannian Geometry Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

IJCAI 2024 A Grassmannian Manifold Self-Attention Network for Signal Classification Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song

ICLR 2024 A Lie Group Approach to Riemannian Batch Normalization Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe

NeurIPS 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen, Yue Song, Rui Wang, Xiao-Jun Wu, Nicu Sebe

CVPR 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe

AAAI 2023 Riemannian Local Mechanism for SPD Neural Networks Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler