Rui She

Orcid: 0000-0002-5211-1664

Affiliations:
  • Beihang University, Beijing, China
  • Nanyang Technological University, Centre for Information Sciences and Systems, Singapore (2020 - 2024)
  • Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Beijing, China (PhD 2020)


According to our database1, Rui She authored at least 47 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL.
CoRR, August, 2025

UAVScenes: A Multi-Modal Dataset for UAVs.
CoRR, July, 2025

From Monolingualism to Multilingualism: Deep Learning-Enhanced Multilingual Text Semantic Communication System.
IEEE Commun. Lett., June, 2025

JOVS: Joint Optimization of Vectorization and Scheduling for DNN on AI DSPs.
Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures, 2025

Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion.
IEEE Trans. Intell. Transp. Syst., December, 2024

Learning Channel Capacity With Neural Mutual Information Estimator Based on Message Importance Measure.
IEEE Trans. Commun., March, 2024

Multi-armed linear bandits with latent biases.
Inf. Sci., March, 2024

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer.
IEEE Trans. Geosci. Remote. Sens., 2024

FedSheafHN: Personalized Federated Learning on Graph-structured Data.
CoRR, 2024

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments.
IEEE Trans. Image Process., 2023

Image Patch-Matching With Graph-Based Learning in Street Scenes.
IEEE Trans. Image Process., 2023

The Effective Coverage of Homogeneous Teams with Radial Attenuation Models.
Sensors, 2023

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks.
CoRR, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Robust Graph Neural Diffusion for Image Matching.
Proceedings of the IEEE International Conference on Image Processing, 2023

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments.
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.
IEEE Internet Things J., 2022

Building Facade Parsing R-CNN.
CoRR, 2022

Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Interpretable Generative Adversarial Networks With Exponential Function.
IEEE Trans. Signal Process., 2021

2020
An Importance Aware Weighted Coding Theorem Using Message Importance Measure.
IEEE Commun. Lett., 2020

Storage Space Allocation Strategy for Digital Data with Message Importance.
Entropy, 2020

MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection.
CoRR, 2020

2019
Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure.
Entropy, 2019

Matching Users' Preference under Target Revenue Constraints in Data Recommendation Systems.
Entropy, 2019

Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems.
CoRR, 2019

Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy.
CoRR, 2019

Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges.
IEEE Access, 2019

2018
Non-Parametric Message Importance Measure: Storage Code Design and Transmission Planning for Big Data.
IEEE Trans. Commun., 2018

Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data.
Entropy, 2018

How Many Samples Required in Big Data Collection: A Differential Message Importance Measure.
CoRR, 2018

Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization.
IEEE Access, 2018

A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

State Variation Mining: On Information Divergence with Message Importance in Big Data.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data.
CoRR, 2017

Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures.
CoRR, 2017

Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data.
IEEE Access, 2017

Focusing on a probability element: Parameter selection of message importance measure in big data.
Proceedings of the IEEE International Conference on Communications, 2017

Non-parametric message important measure: Compressed storage design for big data in wireless communication systems.
Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017


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