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Rui 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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last updated on 2025-11-22 05:23 CET by the dblp team
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