Ziheng Chen - RankMe

31 papers A* 10Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperbolic Busemann Neural Networks. CoRR Ziheng Chen, Bernhard Schölkopf, Nicu Sebe
2026	J	`jnl`	Intrinsic Lorentz Neural Network. CoRR Xianglong Shi, Ziheng Chen, Yunhan Jiang, Nicu Sebe
2026	A*	`conf`	Wasserstein-Aligned Hyperbolic Multi-View Clustering. AAAI Rui Wang, Yuting Jiang, Xiaoqing Luo, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen
2025	A*	`conf`	A Correlation Manifold Self-Attention Network for EEG Decoding. IJCAI Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen
2025	A*	`conf`	Gyrogroup Batch Normalization. ICLR Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe
2025	J	`jnl`	Learning a Better SPD Network for Signal Classification: A Riemannian Batch Normalization Method. IEEE Trans. Neural Networks Learn. Syst. Rui Wang, Shaocheng Jin, Zhenyu Cai, Ziheng Chen, Xiao-Jun Wu, Josef Kittler
2025	A*	`conf`	Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry. CVPR Rui Wang, Shaocheng Jin, Ziheng Chen, Xiaoqing Luo, Xiao-Jun Wu
2025	J	`jnl`	Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry. CoRR Rui Wang, Shaocheng Jin, Ziheng Chen, Xiaoqing Luo, Xiao-Jun Wu
2025	J	`jnl`	Riemannian Batch Normalization: A Gyro Approach. CoRR Ziheng Chen, Xiao-Jun Wu, Bernhard Schölkopf, Nicu Sebe
2025	J	`jnl`	Structural Topology Refinement Network for Skeleton-Based Action Recognition. IEEE Trans. Instrum. Meas. Rui Wang, Jiayao Jin, Ziheng Chen, Cong Wu, Xiao-Jun Wu, Nicu Sebe
2025	A*	`conf`	Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. ICLR Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe
2025	J	`jnl`	Wasserstein-Aligned Hyperbolic Multi-View Clustering. CoRR Rui Wang, Yuting Jiang, Xiaoqing Luo, Xiaojun Wu, Nicu Sebe, Ziheng Chen
2024	A*	`conf`	A Grassmannian Manifold Self-Attention Network for Signal Classification. IJCAI Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song
2024	A*	`conf`	A Lie Group Approach to Riemannian Batch Normalization. ICLR Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe
2024	J	`jnl`	A Lie Group Approach to Riemannian Batch Normalization. CoRR Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe
2024	J	`jnl`	Adaptive Log-Euclidean Metrics for SPD Matrix Learning. IEEE Trans. Image Process. Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiaojun Wu, Nicu Sebe
2024	J	`jnl`	Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds. CoRR Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe
2024	A*	`conf`	RMLR: Extending Multinomial Logistic Regression into General Geometries. NeurIPS Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe
2024	J	`jnl`	RMLR: Extending Multinomial Logistic Regression into General Geometries. CoRR Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe
2024	A*	`conf`	Riemannian Multinomial Logistics Regression for SPD Neural Networks. CVPR Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe
2024	J	`jnl`	SPD Manifold Deep Metric Learning for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. Rui Wang, Xiaojun Wu, Ziheng Chen, Cong Hu, Josef Kittler
2024	J	`jnl`	Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. CoRR Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe
2023	J	`jnl`	Adaptive Riemannian Metrics on SPD Manifolds. CoRR Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe
2023	J	`jnl`	Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification. IEEE Trans. Big Data Ziheng Chen, Tianyang Xu, Xiaojun Wu, Rui Wang, Josef Kittler
2023	A*	`conf`	Riemannian Local Mechanism for SPD Neural Networks. AAAI Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler
2023	J	`jnl`	Riemannian Multiclass Logistics Regression for SPD Neural Networks. CoRR Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe
2023	J	`jnl`	Scalable Affine Multi-view Subspace Clustering. Neural Process. Lett. Wanrong Yu, Xiao-Jun Wu, Tianyang Xu, Ziheng Chen, Josef Kittler
2022	—	`conf`	DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning. ACCV (6) Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler
2022	J	`jnl`	DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification. CoRR Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler
2022	J	`jnl`	Learning a discriminative SPD manifold neural network for image set classification. Neural Networks Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler
2022	J	`jnl`	MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. CoRR Ziheng Chen, Xiao-Jun Wu, Tianyang Xu, Rui Wang, Zhiwu Huang, Josef Kittler