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ORCIDRui She 0001
Person information
- affiliation: Beihang University, Beijing, China
- affiliation (2020 - 2024): Nanyang Technological University, Centre for Information Sciences and Systems, Singapore
- affiliation (PhD 2020): Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Beijing, China
Other persons with the same name
- Rui She — disambiguation page
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2020 – today
- 2025
[j19]Guangyao Cheng, Zhengchuan Chen
, Rui She, Min Liu, Tony Q. S. Quek:
From Monolingualism to Multilingualism: Deep Learning-Enhanced Multilingual Text Semantic Communication System. IEEE Commun. Lett. 29(6): 1461-1465 (2025)- [c17]Shangshu Yu, Xiaotian Sun, Wen Li, Qingshan Xu, Zhimin Yuan, Sijie Wang, Rui She, Cheng Wang:
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes. AAAI 2025: 9644-9652 - [c16]Sijie Wang, Rui She, Qiyu Kang, Siqi Li, Disheng Li, Tianyu Geng, Shangshu Yu, Wee Peng Tay:
Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs. CVPR 2025: 11717-11728 - [c15]Yaochen Han, Hongxu Jiang, Runhua Zhang, Rui She:
JOVS: Joint Optimization of Vectorization and Scheduling for DNN on AI DSPs. SPAA 2025: 487-498 - [i33]Sijie Wang, Siqi Li, Yawei Zhang, Shangshu Yu, Shenghai Yuan, Rui She, Quanjiang Guo, Jinxuan Zheng, Ong Kang Howe, Leonrich Chandra, Shrivarshann Srijeyan, Aditya Sivadas, Toshan Aggarwal, Heyuan Liu, Hongming Zhang, Chujie Chen, Junyu Jiang, Lihua Xie, Wee Peng Tay:
UAVScenes: A Multi-Modal Dataset for UAVs. CoRR abs/2507.22412 (2025) - [i32]Sijie Wang, Quanjiang Guo, Kai Zhao, Yawei Zhang, Xin Li, Xiang Li, Siqi Li, Rui She, Shangshu Yu, Wee Peng Tay:
CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL. CoRR abs/2508.05242 (2025) - [i31]Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay:
Personalized Subgraph Federated Learning with Sheaf Collaboration. CoRR abs/2508.13642 (2025) - 2024
- [j18]Qiyu Kang, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuán-Ruì Yáng:
Multi-armed linear bandits with latent biases. Inf. Sci. 660: 120103 (2024) - [j17]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): 1370-1384 (2024) - [j16]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: 1-15 (2024) - [j15]Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion. IEEE Trans. Intell. Transp. Syst. 25(12): 20523-20534 (2024) - [c14]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: 231-239 - [c13]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: 10377-10385 - [c12]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: 13049-13058 - [i30]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 abs/2401.03167 (2024) - [i29]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 abs/2401.04331 (2024) - [i28]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 abs/2404.14034 (2024) - [i27]Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay:
FedSheafHN: Personalized Federated Learning on Graph-structured Data. CoRR abs/2405.16056 (2024) - [i26]Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion. CoRR abs/2410.04939 (2024) - 2023
- [j14]Yuán-Ruì Yáng, Qiyu Kang, Rui She:
The Effective Coverage of Homogeneous Teams with Radial Attenuation Models. Sensors 23(1): 350 (2023) - [j13]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: 3465-3480 (2023) - [j12]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32: 5550-5563 (2023) - [c11]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: 6209-6216 - [c10]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: 5176-5185 - [c9]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: 311-315 - [c8]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. IJCAI 2023: 4656-4664 - [c7]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS 2023 - [i25]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay:
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR abs/2303.01030 (2023) - [i24]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 abs/2304.00932 (2023) - [i23]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. CoRR abs/2305.16780 (2023) - [i22]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR abs/2310.06396 (2023) - [i21]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR abs/2311.03904 (2023) - [i20]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 abs/2311.04617 (2023) - [i19]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 abs/2312.01546 (2023) - [i18]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 abs/2312.10616 (2023) - 2022
- [j11]Rui She, Pingyi Fan:
From MIM-Based GAN to Anomaly Detection: Event Probability Influence on Generative Adversarial Networks. IEEE Internet Things J. 9(19): 18589-18606 (2022) - [c6]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: 3032-3037 - [i17]Rui She, Pingyi Fan:
From MIM-Based GAN to Anomaly Detection: Event Probability Influence on Generative Adversarial Networks. CoRR abs/2203.13464 (2022) - [i16]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Building Facade Parsing R-CNN. CoRR abs/2205.05912 (2022) - [i15]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro:
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. CoRR abs/2211.11238 (2022) - 2021
- [j10]Rui She, Pingyi Fan, Xiao-Yang Liu, Xiaodong Wang:
Interpretable Generative Adversarial Networks With Exponential Function. IEEE Trans. Signal Process. 69: 3854-3867 (2021) - 2020
- [j9]Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan:
Storage Space Allocation Strategy for Digital Data with Message Importance. Entropy 22(5): 591 (2020) - [j8]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): 1598-1601 (2020) - [i14]Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan:
Storage Space Allocation Strategy for Digital Data with Message Importance. CoRR abs/2002.08428 (2020) - [i13]Rui She, Pingyi Fan:
MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection. CoRR abs/2003.11285 (2020) - [i12]Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
An Importance Aware Weighted Coding Theorem Using Message Importance Measure. CoRR abs/2005.10718 (2020)
2010 – 2019
- 2019
- [j7]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: 100363-100382 (2019) - [j6]Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan:
Matching Users' Preference under Target Revenue Constraints in Data Recommendation Systems. Entropy 21(2): 205 (2019) - [j5]Rui She, Shanyun Liu, Pingyi Fan:
Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure. Entropy 21(5): 439 (2019) - [i11]Rui She, Shanyun Liu, Pingyi Fan:
Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy. CoRR abs/1901.01137 (2019) - [i10]Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan:
Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems. CoRR abs/1901.10721 (2019) - [i9]Rui She, Shanyun Liu, Shuo Wan, Ke Xiong, Pingyi Fan:
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges. CoRR abs/1907.02652 (2019) - 2018
- [j4]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: 42851-42867 (2018) - [j3]Rui She, Shanyun Liu, Pingyi Fan:
Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data. Entropy 20(6): 401 (2018) - [j2]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): 5181-5196 (2018) - [c5]Rui She, Shanyun Liu, Pingyi Fan:
State Variation Mining: On Information Divergence with Message Importance in Big Data. GLOBECOM 2018: 1-6 - [c4]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: 1362-1367 - [c3]Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan:
Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm. IWCMC 2018: 1530-1535 - [i8]Shanyun Liu, Rui She, Pingyi Fan:
How Many Samples Required in Big Data Collection: A Differential Message Importance Measure. CoRR abs/1801.04063 (2018) - [i7]Rui She, Shanyun Liu, Pingyi Fan:
State Variation Mining: On Information Divergence with Message Importance in Big Data. CoRR abs/1801.04064 (2018) - [i6]Shanyun Liu, Rui She, Pingyi Fan:
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization. CoRR abs/1801.07083 (2018) - [i5]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 abs/1803.09467 (2018) - 2017
- [j1]Rui She, Shanyun Liu, Pingyi Fan:
Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data. IEEE Access 5: 24105-24119 (2017) - [c2]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: 1-6 - [c1]Rui She, Shanyun Liu, Yunquan Dong, Pingyi Fan:
Focusing on a probability element: Parameter selection of message importance measure in big data. ICC 2017: 1-6 - [i4]Rui She, Shanyun Liu, Yunquan Dong, Pingyi Fan:
Focusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data. CoRR abs/1701.03234 (2017) - [i3]Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan:
Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures. CoRR abs/1701.03237 (2017) - [i2]Rui She, Shanyun Liu, Pingyi Fan:
Amplifying Inter-message Distance: On Information Divergence Measures in Big Data. CoRR abs/1709.03690 (2017) - [i1]Shanyun Liu, Rui She, Pingyi Fan, Khaled Ben Letaief:
Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data. CoRR abs/1709.10280 (2017)
Coauthor Index
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