Rui She

According to our database, Rui She authored at least 49 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Channel Capacity With Neural Mutual Information Estimator Based on Message Importance Measure.

Zhefan Li, Rui She, Pingyi Fan, Chenghui Peng, Khaled B. Letaief

IEEE Trans. Commun., March, 2024

Multi-armed linear bandits with latent biases.

Qiyu Kang, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuán-Ruì Yáng

Inf. Sci., March, 2024

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer.

Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber

IEEE Trans. Geosci. Remote. Sens., 2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations.

Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian

CoRR, 2024

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.

Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations.

Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study.

Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Security Energy Efficiency Analysis of CR-NOMA Enabled IoT Systems for Edge-cloud Environment.

Rui She, Mengyu Sun

Int. J. Comput. Intell. Syst., December, 2023

RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments.

Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay

IEEE Trans. Image Process., 2023

Image Patch-Matching With Graph-Based Learning in Street Scenes.

Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber

IEEE Trans. Image Process., 2023

The Effective Coverage of Homogeneous Teams with Radial Attenuation Models.

Yuán-Ruì Yáng, Qiyu Kang, Rui She

Sensors, 2023

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.

Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay

CoRR, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

CoRR, 2023

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks.

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay

CoRR, 2023

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.

Rui She, Phoenix K. H. Mo, Jibin Li, Xi Liu, Hong Jiang, Yonghua Chen, Le Ma, Joseph Tak Fai Lau

Comput. Hum. Behav., 2023

Evolutionary Game Theory-Based Optimal Scheduling Strategy for Heterogeneous Computing.

Rui She, Wei Zhao

IEEE Access, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Convection-Diffusion with Heterophily.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Robust Graph Neural Diffusion for Image Matching.

Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

Proceedings of the IEEE International Conference on Image Processing, 2023

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion.

Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments.

Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

From MIM-Based GAN to Anomaly Detection: Event Probability Influence on Generative Adversarial Networks.

Rui She, Pingyi Fan

IEEE Internet Things J., 2022

Building Facade Parsing R-CNN.

Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

CoRR, 2022

Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks.

Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Interpretable Generative Adversarial Networks With Exponential Function.

Rui She, Pingyi Fan, Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Signal Process., 2021

2020

An Importance Aware Weighted Coding Theorem Using Message Importance Measure.

Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief

IEEE Commun. Lett., 2020

Storage Space Allocation Strategy for Digital Data with Message Importance.

Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan

Entropy, 2020

MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection.

Rui She, Pingyi Fan

CoRR, 2020

2019

Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure.

Rui She, Shanyun Liu, Pingyi Fan

Entropy, 2019

Matching Users' Preference under Target Revenue Constraints in Data Recommendation Systems.

Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan

Entropy, 2019

Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems.

Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan

CoRR, 2019

Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy.

Rui She, Shanyun Liu, Pingyi Fan

CoRR, 2019

Security Energy Efficiency Maximization for Two-Way Relay Assisted Cognitive Radio NOMA Network With Self-Interference Harvesting.

Wei Zhao, Rui She, Hui Bao

IEEE Access, 2019

Energy Efficiency Maximization for Two-Way Relay Assisted CR-NOMA System Based on SWIPT.

Wei Zhao, Rui She, Hui Bao

IEEE Access, 2019

Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges.

Rui She, Shanyun Liu, Shuo Wan, Ke Xiong, Pingyi Fan

IEEE Access, 2019

2018

Non-Parametric Message Importance Measure: Storage Code Design and Transmission Planning for Big Data.

Shanyun Liu, Rui She, Pingyi Fan, Khaled Ben Letaief

IEEE Trans. Commun., 2018

Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data.

Rui She, Shanyun Liu, Pingyi Fan

Entropy, 2018

How Many Samples Required in Big Data Collection: A Differential Message Importance Measure.

Shanyun Liu, Rui She, Pingyi Fan

CoRR, 2018

Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization.

Shanyun Liu, Rui She, Pingyi Fan

IEEE Access, 2018

A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure.

Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Yunquan Dong

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm.

Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Capital Structure and Firm Performance: Empirical Research Based on Global E-Retailing Companies.

Rui She, Jingzhi Guo

Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

State Variation Mining: On Information Divergence with Message Importance in Big Data.

Rui She, Shanyun Liu, Pingyi Fan

Proceedings of the IEEE Global Communications Conference, 2018

2017

Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data.

Shanyun Liu, Rui She, Pingyi Fan, Khaled Ben Letaief

CoRR, 2017

Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures.

Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan

CoRR, 2017

Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data.

Rui She, Shanyun Liu, Pingyi Fan

IEEE Access, 2017

Focusing on a probability element: Parameter selection of message importance measure in big data.

Rui She, Shanyun Liu, Yunquan Dong, Pingyi Fan

Proceedings of the IEEE International Conference on Communications, 2017

Non-parametric message important measure: Compressed storage design for big data in wireless communication systems.

Shanyun Liu, Rui She, Pingyi Fan, Jiaxun Lu

Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017

2008

Construction and Application of Linux Virtual Server Cluster for Scientific Computing.

Hong Tang, Rui She, Chen He, Yusheng Dou

Proceedings of the IFIP International Conference on Network and Parallel Computing, 2008