Rui She

Publication Activity (10 Years)

Years Active: 2008-2025
Publications (10 Years): 67

Top Topics

Shannon Entropy

Energy Efficiency

Top Venues

Publications

Rui She, Yuting Wu, Enfang Cui, Mengyu Sun, Wei Zhao, Deji Fu
Energy-efficiency optimization for heterogeneous computing-assisted NOMA-MEC edge AI tasks. Future Gener. Comput. Syst. 162 (2025)
Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. AAAI (2024)
Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. CoRR (2024)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. CoRR (2024)
Zhefan Li, Rui She, Pingyi Fan, Chenghui Peng, Khaled B. Letaief
Learning Channel Capacity With Neural Mutual Information Estimator Based on Message Importance Measure. IEEE Trans. Commun. 72 (3) (2024)
Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay
FedSheafHN: Personalized Federated Learning on Graph-structured Data. CoRR (2024)
Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. CoRR (2024)
Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. AAAI (2024)
Qiyu Kang, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuan-Rui Yang
Multi-armed linear bandits with latent biases. Inf. Sci. 660 (2024)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. AAAI (2024)
Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
Robust Graph Neural Diffusion for Image Matching. ICIP (2023)
Yuan-Rui Yang, Qiyu Kang, Rui She
The Effective Coverage of Homogeneous Teams with Radial Attenuation Models. Sensors 23 (1) (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Graph Neural Convection-Diffusion with Heterophily. CoRR (2023)
Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CVPR (2023)
Rui She, Wei Zhao
Evolutionary Game Theory-Based Optimal Scheduling Strategy for Heterogeneous Computing. IEEE Access 11 (2023)
Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. CoRR (2023)
Zhefan Li, Rui She, Pingyi Fan, Chenghui Peng, Khaled B. Letaief
Learning Channel Capacity with Neural Mutual Information Estimator Based on Message Importance Measure. CoRR (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR (2023)
Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR (2023)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber
Image Patch-Matching With Graph-Based Learning in Street Scenes. IEEE Trans. Image Process. 32 (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Graph Neural Convection-Diffusion with Heterophily. IJCAI (2023)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber
Image Patch-Matching with Graph-Based Learning in Street Scenes. CoRR (2023)
Rui She, Phoenix K. H. Mo, Jibin Li, Xi Liu, Hong Jiang, Yonghua Chen, Le Ma, Joseph Tak Fai Lau
The double-edged sword effect of social networking use intensity on problematic social networking use among college students: The role of social skills and social anxiety. Comput. Hum. Behav. 140 (2023)
Rui She, Mengyu Sun
Security Energy Efficiency Analysis of CR-NOMA Enabled IoT Systems for Edge-cloud Environment. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CoRR (2023)
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. AAAI (2023)
Rui She, Qiyu Kang, Sijie Wang, Yuan-Rui Yang, Kai Zhao, Yang Song, Wee Peng Tay
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32 (2023)
Rui She, Qiyu Kang, Sijie Wang, Yuan-Rui Yang, Kai Zhao, Yang Song, Wee Peng Tay
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR (2023)
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. CoRR (2022)
Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. ITSC (2022)
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
Building Facade Parsing R-CNN. CoRR (2022)
Rui She, Pingyi Fan
From MIM-Based GAN to Anomaly Detection: Event Probability Influence on Generative Adversarial Networks. CoRR (2022)
Rui She, Pingyi Fan
From MIM-Based GAN to Anomaly Detection: Event Probability Influence on Generative Adversarial Networks. IEEE Internet Things J. 9 (19) (2022)
Rui She, Pingyi Fan, Xiao-Yang Liu, Xiaodong Wang
Interpretable Generative Adversarial Networks With Exponential Function. IEEE Trans. Signal Process. 69 (2021)
Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan
Storage Space Allocation Strategy for Digital Data with Message Importance. CoRR (2020)
Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief
An Importance Aware Weighted Coding Theorem Using Message Importance Measure. CoRR (2020)
Rui She, Pingyi Fan
MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection. CoRR (2020)
Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan
Storage Space Allocation Strategy for Digital Data with Message Importance. Entropy 22 (5) (2020)
Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief
An Importance Aware Weighted Coding Theorem Using Message Importance Measure. IEEE Commun. Lett. 24 (8) (2020)
Rui She, Shanyun Liu, Shuo Wan, Ke Xiong, Pingyi Fan
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges. IEEE Access 7 (2019)
Rui She, Shanyun Liu, Pingyi Fan
Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy. CoRR (2019)
Wei Zhao, Rui She, Hui Bao
Energy Efficiency Maximization for Two-Way Relay Assisted CR-NOMA System Based on SWIPT. IEEE Access 7 (2019)
Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan
Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems. CoRR (2019)
Rui She, Shanyun Liu, Pingyi Fan
Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure. Entropy 21 (5) (2019)
Rui She, Shanyun Liu, Shuo Wan, Ke Xiong, Pingyi Fan
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges. CoRR (2019)
Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan
Matching Users' Preference under Target Revenue Constraints in Data Recommendation Systems. Entropy 21 (2) (2019)
Wei Zhao, Rui She, Hui Bao
Security Energy Efficiency Maximization for Two-Way Relay Assisted Cognitive Radio NOMA Network With Self-Interference Harvesting. IEEE Access 7 (2019)
Rui She, Jingzhi Guo
Capital Structure and Firm Performance: Empirical Research Based on Global E-Retailing Companies. ICEBE (2018)
Shanyun Liu, Rui She, Pingyi Fan
How Many Samples Required in Big Data Collection: A Differential Message Importance Measure. CoRR (2018)
Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Yunquan Dong
A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure. CoRR (2018)
Rui She, Shanyun Liu, Pingyi Fan
Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data. Entropy 20 (6) (2018)
Shanyun Liu, Rui She, Pingyi Fan
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization. CoRR (2018)
Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Yunquan Dong
A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure. IWCMC (2018)
Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan
Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm. IWCMC (2018)
Shanyun Liu, Rui She, Pingyi Fan
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization. IEEE Access 6 (2018)
Shanyun Liu, Rui She, Pingyi Fan, Khaled Ben Letaief
Non-Parametric Message Importance Measure: Storage Code Design and Transmission Planning for Big Data. IEEE Trans. Commun. 66 (11) (2018)
Rui She, Shanyun Liu, Pingyi Fan
State Variation Mining: On Information Divergence with Message Importance in Big Data. CoRR (2018)
Rui She, Shanyun Liu, Pingyi Fan
State Variation Mining: On Information Divergence with Message Importance in Big Data. GLOBECOM (2018)
Rui She, Shanyun Liu, Yunquan Dong, Pingyi Fan
Focusing on a probability element: Parameter selection of message importance measure in big data. ICC (2017)
Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan
Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures. CoRR (2017)
Shanyun Liu, Rui She, Pingyi Fan, Khaled Ben Letaief
Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data. CoRR (2017)
Rui She, Shanyun Liu, Yunquan Dong, Pingyi Fan
Focusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data. CoRR (2017)
Rui She, Shanyun Liu, Pingyi Fan
Amplifying Inter-message Distance: On Information Divergence Measures in Big Data. CoRR (2017)
Rui She, Shanyun Liu, Pingyi Fan
Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data. IEEE Access 5 (2017)
Shanyun Liu, Rui She, Pingyi Fan, Jiaxun Lu
Non-parametric message important measure: Compressed storage design for big data in wireless communication systems. APCC (2017)
Hong Tang, Rui She, Chen He, Yusheng Dou
Construction and Application of Linux Virtual Server Cluster for Scientific Computing. NPC Workshops (2008)