Non-parametric message important measure: Compressed storage design for big data in wireless communication systems. - Shanyun Liu; Rui She 001; Pingyi Fan; Jiaxun Lu (APCC, 2017)

Focusing on a probability element: Parameter selection of message importance measure in big data. - Rui She 001; Shanyun Liu; Yunquan Dong; Pingyi Fan (ICC, 2017)

Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data. - Rui She 001; Shanyun Liu; Pingyi Fan (IEEE Access, 2017)

Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures. - Shanyun Liu; Rui She 001; Jiaxun Lu; Pingyi Fan (CoRR, 2017)

Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data. - Shanyun Liu; Rui She 001; Pingyi Fan; Khaled Ben Letaief (CoRR, 2017)

State Variation Mining: On Information Divergence with Message Importance in Big Data. - Rui She 001; Shanyun Liu; Pingyi Fan (GLOBECOM, 2018)

Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm. - Shanyun Liu; Rui She 001; Jiaxun Lu; Pingyi Fan (IWCMC, 2018)

A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure. - Shanyun Liu; Rui She 001; Shuo Wan; Pingyi Fan; Yunquan Dong (IWCMC, 2018)

Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization. - Shanyun Liu; Rui She 001; Pingyi Fan (IEEE Access, 2018)

How Many Samples Required in Big Data Collection: A Differential Message Importance Measure. - Shanyun Liu; Rui She 001; Pingyi Fan (CoRR, 2018)

Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data. - Rui She 001; Shanyun Liu; Pingyi Fan (Entropy, 2018)

Non-Parametric Message Importance Measure: Storage Code Design and Transmission Planning for Big Data. - Shanyun Liu; Rui She 001; Pingyi Fan; Khaled Ben Letaief (IEEE Trans. Commun., 2018)

Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges. - Rui She 001; Shanyun Liu; Shuo Wan; Ke Xiong 001; Pingyi Fan (IEEE Access, 2019)

Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy. - Rui She 001; Shanyun Liu; Pingyi Fan (CoRR, 2019)

Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems. - Shanyun Liu; Yunquan Dong; Pingyi Fan; Rui She 001; Shuo Wan (CoRR, 2019)

Matching Users' Preference under Target Revenue Constraints in Data Recommendation Systems. - Shanyun Liu; Yunquan Dong; Pingyi Fan; Rui She 001; Shuo Wan (Entropy, 2019)

Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure. - Rui She 001; Shanyun Liu; Pingyi Fan (Entropy, 2019)

MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection. - Rui She 001; Pingyi Fan (CoRR, 2020)

Storage Space Allocation Strategy for Digital Data with Message Importance. - Shanyun Liu; Rui She 001; Zheqi Zhu; Pingyi Fan (Entropy, 2020)

An Importance Aware Weighted Coding Theorem Using Message Importance Measure. - Zheqi Zhu; Shanyun Liu; Rui She 001; Shuo Wan; Pingyi Fan; Khaled B. Letaief (IEEE Commun. Lett., 2020)

Interpretable Generative Adversarial Networks With Exponential Function. - Rui She 001; Pingyi Fan; Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2021)

Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. - Qiyu Kang; Rui She 001; Sijie Wang; Wee Peng Tay; Diego Navarro Navarro; Andreas Hartmannsgruber (ITSC, 2022)

Building Facade Parsing R-CNN. - Sijie Wang; Qiyu Kang; Rui She 001; Wee Peng Tay; Diego Navarro Navarro; Andreas Hartmannsgruber (CoRR, 2022)

From MIM-Based GAN to Anomaly Detection: Event Probability Influence on Generative Adversarial Networks. - Rui She 001; Pingyi Fan (IEEE Internet Things J., 2022)

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. - Sijie Wang; Qiyu Kang; Rui She 001; Wee Peng Tay; Andreas Hartmannsgruber; Diego Navarro Navarro (AAAI, 2023)

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. - Sijie Wang; Qiyu Kang; Rui She 001; Wei Wang; Kai Zhao 010; Yang Song 012; Wee Peng Tay (CVPR, 2023)

Robust Graph Neural Diffusion for Image Matching. - Rui She 001; Qiyu Kang; Sijie Wang; Kai Zhao 010; Yang Song 012; Yi Xu 014; Tianyu Geng; Wee Peng Tay; Diego Navarro Navarro; Andreas Hartmannsgruber (ICIP, 2023)

Graph Neural Convection-Diffusion with Heterophily. - Kai Zhao 010; Qiyu Kang; Yang Song 012; Rui She 001; Sijie Wang; Wee Peng Tay (IJCAI, 2023)

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. - Kai Zhao 010; Qiyu Kang; Yang Song 012; Rui She 001; Sijie Wang; Wee Peng Tay (NeurIPS, 2023)

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Sijie Wang; Rui She 001; Wee Peng Tay (CoRR, 2023)

The Effective Coverage of Homogeneous Teams with Radial Attenuation Models. - Yuán-Ruì Yáng; Qiyu Kang; Rui She 001 (Sensors, 2023)

Image Patch-Matching With Graph-Based Learning in Street Scenes. - Rui She 001; Qiyu Kang; Sijie Wang; Wee Peng Tay; Yong Liang Guan 001; Diego Navarro Navarro; Andreas Hartmannsgruber (IEEE Trans. Image Process., 2023)

RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. - Rui She 001; Qiyu Kang; Sijie Wang; Yuán-Ruì Yáng; Kai Zhao 010; Yang Song 012; Wee Peng Tay (IEEE Trans. Image Process., 2023)

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Yihang Xie; Yanan Zhao 003; Sijie Wang; Rui She 001; Wee Peng Tay (AAAI, 2024)

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. - Rui She 001; Sijie Wang; Qiyu Kang; Kai Zhao 010; Yang Song 012; Wee Peng Tay; Tianyu Geng; Xingchao Jian (AAAI, 2024)

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. - Sijie Wang; Rui She 001; Qiyu Kang; Xingchao Jian; Kai Zhao 010; Yang Song 012; Wee Peng Tay (AAAI, 2024)

FedSheafHN: Personalized Federated Learning on Graph-structured Data. - Wenfei Liang; Yanan Zhao 003; Rui She 001; Yiming Li; Wee Peng Tay (CoRR, 2024)

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. - Rui She 001; Qiyu Kang; Sijie Wang; Wee Peng Tay; Kai Zhao 010; Yang Song 012; Tianyu Geng; Yi Xu 014; Diego Navarro Navarro; Andreas Hartmannsgruber (IEEE Trans. Geosci. Remote. Sens., 2024)

Multi-armed linear bandits with latent biases. - Qiyu Kang; Wee Peng Tay; Rui She 001; Sijie Wang; Xiaoqian Liu; Yuán-Ruì Yáng (Inf. Sci., 2024)

Learning Channel Capacity With Neural Mutual Information Estimator Based on Message Importance Measure. - Zhefan Li; Rui She 001; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (IEEE Trans. Commun., 2024)

PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion. - Sijie Wang; Qiyu Kang; Rui She 001; Kai Zhao 010; Yang Song 012; Wee Peng Tay (IEEE Trans. Intell. Transp. Syst., 2024)

STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes. - Shangshu Yu; Xiaotian Sun; Wen Li; Qingshan Xu; Zhimin Yuan; Sijie Wang; Rui She 001; Cheng Wang (AAAI, 2025)

Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs. - Sijie Wang; Rui She 001; Qiyu Kang; Siqi Li; Disheng Li; Tianyu Geng; Shangshu Yu; Wee Peng Tay (CVPR, 2025)

JOVS: Joint Optimization of Vectorization and Scheduling for DNN on AI DSPs. - Yaochen Han; Hongxu Jiang; Runhua Zhang 002; Rui She 001 (SPAA, 2025)

From Monolingualism to Multilingualism: Deep Learning-Enhanced Multilingual Text Semantic Communication System. - Guangyao Cheng; Zhengchuan Chen; Rui She 001; Min Liu; Tony Q. S. Quek (IEEE Commun. Lett., 2025)

UAVScenes: A Multi-Modal Dataset for UAVs. - Sijie Wang; Siqi Li; Yawei Zhang; Shangshu Yu; Shenghai Yuan; Rui She 001; Quanjiang Guo; Jinxuan Zheng; Ong Kang Howe; Leonrich Chandra; Shrivarshann Srijeyan; Aditya Sivadas; et al. (CoRR, 2025)

CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL. - Sijie Wang; Quanjiang Guo; Kai Zhao 010; Yawei Zhang; Xin Li; Xiang Li; Siqi Li; Rui She 001; Shangshu Yu; Wee Peng Tay (CoRR, 2025)

Personalized Subgraph Federated Learning with Sheaf Collaboration. - Wenfei Liang; Yanan Zhao 003; Rui She 001; Yiming Li; Wee Peng Tay (CoRR, 2025)