Rui Wang - RankMe

46 papers A* 7B 5Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GrFormer: A novel Transformer on Grassmann manifold for infrared and visible image fusion. Inf. Fusion Huan Kang, Hui Li, Xiaojun Wu, Tianyang Xu, Rui Wang, Chunyang Cheng, Josef Kittler
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	—	`conf`	Geometry-Aware Self-attention Network with Adaptive Log-Euclidean Metric for EEG Decoding. PRCV (4) Zihao Bi, Rui Wang, Chen Hu, Tao Zhou, Xiaoning Song, Xiao-Jun Wu
2025	J	`jnl`	GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion. CoRR Huan Kang, Hui Li, Xiaojun Wu, Tianyang Xu, Rui Wang, Chunyang Cheng, Josef Kittler
2025	J	`jnl`	Hierarchical feature transformation attack: Generate transferable adversarial examples for face recognition. Appl. Soft Comput. Yuanbo Li, Cong Hu, Rui Wang, Xiaojun Wu
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	B	`conf`	Learning a Discriminative Grassmannian Neural Network for Visual Classification. IJCNN Yusheng Bao, Rui Wang, Tianyang Xu, Xiaojun Wu, Umapada Pal, 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	A*	`conf`	R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration. AAAI Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang, Wenjie Zhang, Xiaojun Wu
2025	J	`jnl`	Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws. CoRR Lin Guo, Xiaoqing Luo, Wei Xie, Zhancheng Zhang, Hui Li, Rui Wang, Zhenhua Feng, Xiaoning Song
2025	J	`jnl`	SMLNet: A SPD Manifold Learning Network for Infrared and Visible Image Fusion. Int. J. Comput. Vis. Huan Kang, Hui Li, Tianyang Xu, Xiaojun Wu, Rui Wang, Chunyang Cheng, Josef Kittler
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	B	`conf`	SymCL: Riemannian Contrastive Learning on the Symmetric Positive Definite Manifold for Visual Classification. IJCNN Yusheng Bao, Rui Wang, Tianyang Xu, Xiaojun Wu, Josef Kittler
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	B	`conf`	A Riemannian Residual Learning Mechanism for SPD Network. IJCNN Zhenyu Cai, Rui Wang, Tianyang Xu, Xiaojun Wu, Josef Kittler
2024	J	`jnl`	Deep Metric Learning on the SPD Manifold for Image Set Classification. IEEE Trans. Circuits Syst. Video Technol. Rui Wang, Xiaojun Wu, Tianyang Xu, Cong Hu, Josef Kittler
2024	J	`jnl`	Manifold-based multi-graph embedding for semi-supervised classification. Pattern Recognit. Lett. Cong Hu, Jiang-Tao Song, Jia-Sheng Chen, Rui Wang, Xiao-Jun Wu
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	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`	SPDFusion: An Infrared and Visible Image Fusion Network Based on a Non-Euclidean Representation of Riemannian Manifolds. CoRR Huan Kang, Hui Li, Tianyang Xu, Rui Wang, Xiaojun Wu, Josef Kittler
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 Self-Attention Mechanism for SPD Networks. CoRR Rui Wang, Xiao-Jun Wu, Hui Li, Josef Kittler
2023	J	`jnl`	U-SPDNet: An SPD manifold learning-based neural network for visual classification. Neural Networks Rui Wang, Xiaojun Wu, Tianyang Xu, Cong Hu, Josef Kittler
2022	J	`jnl`	Collaborative Representation for SPD Matrices with Application to Image-Set Classification. CoRR Li Chu, Rui Wang, Xiao-Jun Wu
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`	Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification. IEEE Trans. Cogn. Dev. Syst. Rui Wang, Xiaojun Wu, Zhen Liu, 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
2022	J	`jnl`	Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning. IEEE Trans. Big Data Rui Wang, Xiaojun Wu, Kai-Xuan Chen, Josef Kittler
2022	J	`jnl`	SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. Rui Wang, Xiaojun Wu, Josef Kittler
2021	J	`jnl`	Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features. IEEE Trans. Multim. Rui Wang, Xiao-Jun Wu, Josef Kittler
2020	J	`jnl`	GrasNet: A Simple Grassmannian Network for Image Set Classification. Neural Process. Lett. Rui Wang, Xiao-Jun Wu
2019	—	`conf`	More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation. ICCV Workshops Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler
2019	J	`jnl`	More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation. CoRR Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler
2019	J	`jnl`	Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning. CoRR Rui Wang, Xiaojun Wu, Josef Kittler
2018	J	`jnl`	Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification. CoRR Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler
2018	B	`conf`	Multiple Manifolds Metric Learning with Application to Image Set Classification. ICPR Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler
2018	J	`jnl`	Multiple Manifolds Metric Learning with Application to Image Set Classification. CoRR Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler
2018	B	`conf`	Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. ICPR Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler
2018	J	`jnl`	Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. CoRR Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler