Real-time video watermarking based on extended m-sequences. - Fuhao Zou; Zhengding Lu; Hefei Ling; Yanwei Yu (ICME, 2006)

No-Reference Perceptual Quality Assessment of JPEG Images Using General Regression Neural Network. - Yanwei Yu; Zhengding Lu; Hefei Ling; Fuhao Zou (ISNN (2), 2006)

TGCR: An efficient algorithm for mining swarm in trajectory databases. - Yanwei Yu; Qin Wang 004; Jun Kuang; Jie He 001 (ICSDM, 2011)

A practical indoor TOA ranging error model for localization algorithm. - Jie He 001; Qin Wang 004; Qianxiong Zhang; Bingfeng Liu; Yanwei Yu (PIMRC, 2011)

A density-based clustering structure mining algorithm for data streams. - Huan Wang; Yanwei Yu; Qin Wang 004; Yadong Wan (BigMine, 2012)

Robust localized image watermarking based on invariant regions. - Yanwei Yu; Hefei Ling; Fuhao Zou; Zhengding Lu; Liyun Wang (Digit. Signal Process., 2012)

Online clustering for trajectory data stream of moving objects. - Yanwei Yu; Qin Wang 004; Xiaodong Wang; Huan Wang; Jie He 001 (Comput. Sci. Inf. Syst., 2013)

Modelling ranging error of indoor TOA-based position system based on receive signal strength. - Jie He 001; Qin Wang 004; Qianxiong Zhang; Yanwei Yu; Bingfeng Liu (Int. J. Sens. Networks, 2013)

RSS Assisted TOA-Based Indoor Geolocation. - Jie He 001; Yanwei Yu; Qin Wang 004 (Int. J. Wirel. Inf. Networks, 2013)

Scalable distance-based outlier detection over high-volume data streams. - Lei Cao 004; Di Yang 003; Qingyang Wang 004; Yanwei Yu; Jiayuan Wang; Elke A. Rundensteiner (ICDE, 2014)

Detecting moving object outliers in massive-scale trajectory streams. - Yanwei Yu; Lei Cao 004; Elke A. Rundensteiner; Qin Wang 004 (KDD, 2014)

Cludoop: An Efficient Distributed Density-Based Clustering for Big Data Using Hadoop. - Yanwei Yu; Jingdong Zhao; Xiaodong Wang; Qin Wang 004; Yonggang Zhang (Int. J. Distributed Sens. Networks, 2015)

K*-Means: An Effective and Efficient K-Means Clustering Algorithm. - Jianpeng Qi; Yanwei Yu; Lihong Wang; Jinglei Liu (BDCloud-SocialCom-SustainCom, 2016)

MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories Using MapReduce. - Yanwei Yu; Jianpeng Qi; Yunhui Lu; Yonggang Zhang; Zhaowei Liu (IDEAL, 2016)

Cross-corpus speech emotion recognition using transfer semi-supervised discriminant analysis. - Peng Song 002; Xinran Zhang; Shifeng Ou; Jingjing Liu; Yanwei Yu; Wenming Zheng (ISCSLP, 2016)

Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition. - Peng Song 002; Shifeng Ou; Xinran Zhang; Yun Jin; Wenming Zheng; Jinglei Liu; Yanwei Yu (IEICE Trans. Inf. Syst., 2016)

Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization. - Peng Song 002; Wenming Zheng; Shifeng Ou; Xinran Zhang; Yun Jin; Jinglei Liu; Yanwei Yu (Speech Commun., 2016)

Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams. - Ruoshan Lan; Yanwei Yu; Lei Cao 004; Peng Song 002; Yingjie Wang (MDM, 2017)

An effective and efficient hierarchical K-means clustering algorithm. - Jianpeng Qi; Yanwei Yu; Lihong Wang; Jinglei Liu; Yingjie Wang 002 (Int. J. Distributed Sens. Networks, 2017)

Outlier Detection over Massive-Scale Trajectory Streams. - Yanwei Yu; Lei Cao 004; Elke A. Rundensteiner; Qin Wang 004 (ACM Trans. Database Syst., 2017)

Representation Learning for Large-Scale Dynamic Networks. - Yanwei Yu; Huaxiu Yao; Hongjian Wang 002; Xianfeng Tang; Zhenhui Li (DASFAA (2), 2018)

Learning CP-Nets Structure From Preference Data Streams. - Zhaowei Liu; Zhaolin Zhong; Chenghui Zhang; Yanwei Yu; Jinglei Liu (IEEE Access, 2018)

A Parameter Space Framework for Online Outlier Detection Over High-Volume Data Streams. - Guanzhe Zhao; Yanwei Yu; Peng Song 002; Geng Zhao; Zhe Ji (IEEE Access, 2018)

Modeling Spatial-Temporal Dynamics for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Yanwei Yu; Zhenhui Li (CoRR, 2018)

Region compatibility based stability assessment for decision trees. - Lihong Wang; Qiang Li; Yanwei Yu; Jinglei Liu (Expert Syst. Appl., 2018)

Inferring Mobility Relationship via Graph Embedding. - Yanwei Yu; Hongjian Wang 002; Zhenhui Li (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. - Xianfeng Tang; Boqing Gong; Yanwei Yu; Huaxiu Yao; Yandong Li; Haiyong Xie 001; Xiaoyu Wang 002 (WWW, 2019)

Dynamic Representation Learning for Large-Scale Attributed Networks. - Zhijun Liu; Chao Huang 001; Yanwei Yu; Peng Song 002; Baode Fan; Junyu Dong (CIKM, 2020)

Fast Attributed Multiplex Heterogeneous Network Embedding. - Zhijun Liu; Chao Huang 001; Yanwei Yu; Baode Fan; Junyu Dong (CIKM, 2020)

Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow. - Yanwei Yu; Peng Lv; Xiangrong Tong; Junyu Dong (DASFAA (2), 2020)

Student Performance Prediction Based on Multi-view Network Embedding. - Jianian Li; Yanwei Yu; Yunhong Lu; Peng Song 002 (PRCV (3), 2020)

Ordering-Based Kalman Filter Selective Ensemble for Classification. - Kai Yu; Lihong Wang; Yanwei Yu (IEEE Access, 2020)

Shape-optimizing mesh warping method for stereoscopic panorama stitching. - Weiqing Yan; Guanghui Yue 001; Jindong Xu; Yanwei Yu; Kai Wang 014; Chang Tang; Xiangrong Tong (Inf. Sci., 2020)

Find you if you drive: Inferring home locations for vehicles with surveillance camera data. - Kai Chen; Yanwei Yu; Peng Song 002; Xianfeng Tang; Lei Cao 004; Xiangrong Tong (Knowl. Based Syst., 2020)

Scalable KDE-based top-n local outlier detection over large-scale data streams. - Fang Liu; Yanwei Yu; Peng Song 002; Yangyang Fan; Xiangrong Tong (Knowl. Based Syst., 2020)

Layer-constrained variational autoencoding kernel density estimation model for anomaly detection. - Peng Lv; Yanwei Yu; Yangyang Fan; Xianfeng Tang; Xiangrong Tong (Knowl. Based Syst., 2020)

Spatiotemporal Representation Learning for Taxi Pick-up Point Recommendation. - Yuyuan Huang; Yanwei Yu; Peng Jiang (CCIS, 2021)

Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Tie. - Shaojie Dai; Yanwei Yu; Hao Fan 004; Junyu Dong (DASFAA (1), 2021)

Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel. - Zhihao Wang; Yanwei Yu; Yibo Wang; Haixu Long; Fazheng Wang (ICDAR Workshops (2), 2021)

Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. - Shaojie Dai; Jinshuai Wang; Chao Huang 001; Yanwei Yu; Junyu Dong (ICDM, 2021)

Motif-Preserving Dynamic Attributed Network Embedding. - Zhijun Liu; Chao Huang 001; Yanwei Yu; Junyu Dong (WWW, 2021)

Speech Emotion Recognition Based on Robust Discriminative Sparse Regression. - Peng Song 002; Wenming Zheng; Yanwei Yu; Shifeng Ou (IEEE Trans. Cogn. Dev. Syst., 2021)

Citywide Traffic Volume Inference with Surveillance Camera Records. - Yanwei Yu; Xianfeng Tang; Huaxiu Yao; Xiuwen Yi; Zhenhui Li (IEEE Trans. Big Data, 2021)

Citywide Traffic Volume Inference using Traffic Sensing Data with Missing Values. - Jinshuai Wang; Bingqi Yan; Yanwei Yu (CCIS, 2022)

Cross-Modal Relation and Sketch Prototype Learning for Zero-Shot Sketch-Based Image Retrieval. - Yuanping Song; Yanwei Yu; Hao Tang; Junyuan Guo; Yibo Wang (CSAI, 2022)

Scalable Motif Counting for Large-scale Temporal Graphs. - Zhongqiang Gao; Chuanqi Cheng; Yanwei Yu; Lei Cao 004; Chao Huang 001; Junyu Dong (ICDE, 2022)

Mutual Distillation Learning Network for Trajectory-User Linking. - Wei Chen 070; Shuzhe Li; Chao Huang 001; Yanwei Yu; Yongguo Jiang; Junyu Dong (IJCAI, 2022)

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Yuxuan Liang; Yanwei Yu; Chenliang Li (KDD, 2022)

Multiplex Heterogeneous Graph Convolutional Network. - Pengyang Yu; Chaofan Fu; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (KDD, 2022)

Self-supervised Scene Text Segmentation with Object-centric Layered Representations Augmented by Text Regions. - Yibo Wang; Yunhu Ye; Yuanpeng Mao; Yanwei Yu; Yuanping Song (ACM Multimedia, 2022)

Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams. - Yanwei Yu; Ruoshan Lan; Lei Cao 004; Peng Song 002; Yingjie Wang (CoRR, 2022)

Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation. - Shaojie Dai; Yanwei Yu; Hao Fan 004; Junyu Dong (Data Sci. Eng., 2022)

Heterogeneous graph neural network for attribute completion. - Kai Wang 014; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (Knowl. Based Syst., 2022)

Graph Structure Learning on User Mobility Data for Social Relationship Inference. - Guangming Qin; Lexue Song; Yanwei Yu; Chao Huang 001; Wenzhe Jia; Yuan Cao 005; Junyu Dong (AAAI, 2023)

Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. - Zhanyu Liu; Guanjie Zheng; Yanwei Yu (CIKM, 2023)

ST-MoE: Spatio-Temporal Mixture of Experts for Multivariate Time Series Forecasting. - Hanwen Liu; Yibing Zhang; Ximeng Wang; Bin Wang; Yanwei Yu (ISKE, 2023)

DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation. - Binyu Tan; Junrui Shi; Bin Wang 045; Yanwei Yu; Feng Hong 001; Tianrui Li 001 (ISKE, 2023)

Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. - Chaofan Fu; Guanjie Zheng; Chao Huang 001; Yanwei Yu; Junyu Dong (KDD, 2023)

Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. - Yunfei Shi; Bin Wang 045; Yanwei Yu; Xianfeng Tang; Chao Huang 001; Junyu Dong (Knowl. Based Syst., 2023)

Structural regularization based discriminative multi-view unsupervised feature selection. - Shixuan Zhou; Peng Song 002; Yanwei Yu; Wenming Zheng (Knowl. Based Syst., 2023)

Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference. - Shaojie Dai; Jinshuai Wang; Chao Huang 001; Yanwei Yu; Junyu Dong (ACM Trans. Knowl. Discov. Data, 2023)

PreCLN: Pretrained-based contrastive learning network for vehicle trajectory prediction. - Bingqi Yan; Geng Zhao; Lexue Song; Yanwei Yu; Junyu Dong (World Wide Web (WWW), 2023)

Session-based recommendation with hypergraph convolutional networks and sequential information embeddings. - Chengxin Ding; Zhongying Zhao 001; Chao Li 022; Yanwei Yu; Qingtian Zeng (Expert Syst. Appl., 2023)

OSGNN: Original graph and Subgraph aggregated Graph Neural Network. - Yeyu Yan; Chao Li 022; Yanwei Yu; Xiangju Li; Zhongying Zhao 001 (Expert Syst. Appl., 2023)

Self-supervised contrastive representation learning for large-scale trajectories. - Shuzhe Li; Wei Chen; Bingqi Yan; Zhen Li; Shunzhi Zhu; Yanwei Yu (Future Gener. Comput. Syst., 2023)

Tensor-based consensus learning for incomplete multi-view clustering. - Jinshuai Mu; Peng Song 002; Yanwei Yu; Wenming Zheng (Expert Syst. Appl., 2023)

Hypergraph Hash Learning for Efficient Trajectory Similarity Computation. - Yuan Cao 005; Lei Li; Xiangru Chen; Xue Xu; Zuojin Huang; Yanwei Yu (CIKM, 2024)

MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs. - Jiantao Li; Jianpeng Qi; Yueling Huang; Lei Cao 004; Yanwei Yu; Junyu Dong (CIKM, 2024)

Efficient Joint Rectification of Photometric and Geometric Distortions in Document Images. - Hao Tang; Junyuan Guo; Teng Wang; Yanwei Yu; Chao Wang (ICASSP, 2024)

Globally Informed Graph Contrastive Learning for Recommendation. - Yixing Zheng; Chengxi Li 017; Junyu Dong; Yanwei Yu (ICIC (13), 2024)

Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data. - Guangming Qin; Jianpeng Qi; Bin Wang 045; Guiyuan Jiang; Yanwei Yu; Junyu Dong (IJCAI, 2024)

Dataset Condensation for Time Series Classification via Dual Domain Matching. - Zhanyu Liu; Ke Hao; Guanjie Zheng; Yanwei Yu (KDD, 2024)

Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation. - Changsheng Shui; Xiang Li 111; Jianpeng Qi; Guiyuan Jiang; Yanwei Yu (ECML/PKDD (6), 2024)

LumChromNet: A Dual-Path Neural Network Framework for Optical Measurement in VR Systems. - Zhaoqing Leng; Zhengang Zhao; Yanwei Yu; Xiaoyu Zhou; Xu Dong; Yican Zhang (SMC, 2024)

Dual-Channel Multiplex Graph Neural Networks for Recommendation. - Xiang Li 111; Chaofan Fu; Zhongying Zhao 001; Guanjie Zheng; Chao Huang 001; Junyu Dong; Yanwei Yu (CoRR, 2024)

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. - Wei Chen 070; Yuxuan Liang; Yuanshao Zhu; Yanchuan Chang; Kang Luo; Haomin Wen; Lei Li 003; Yanwei Yu; Qingsong Wen; Chao Chen 004; Kai Zheng 001; Yunjun Gao; et al. (CoRR, 2024)

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion. - Xiang Li 111; Changsheng Shui; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (CoRR, 2024)

TPAoI: Ensuring Fresh Service Status at the Network Edge in Compute-First Networking. - Haosheng He; Jianpeng Qi; Chao Liu; Junyu Dong; Yanwei Yu (CoRR, 2024)

Comprehensive multi-view self-representations for clustering. - Yuanbo Cheng; Peng Song 002; Jinshuai Mu; Yanwei Yu; Wenming Zheng (Expert Syst. Appl., 2024)

Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection. - Peng Song 002; Shixuan Zhou; Jinshuai Mu; Meng Duan; Yanwei Yu; Wenming Zheng (Inf. Sci., 2024)

DeepWind: a heterogeneous spatio-temporal model for wind forecasting. - Bin Wang 045; Junrui Shi; Binyu Tan; Minbo Ma; Feng Hong 001; Yanwei Yu; Tianrui Li 001 (Knowl. Based Syst., 2024)

Adaptive Spatiotemporal Graph Recurrent Network for Sea Surface Temperature Forecasting. - Xingyu Zhao 006; Zhongyu Wang; Zhihao Zhang; Fangbo Lu; Yanwei Yu; Junyu Dong (IEEE Trans. Geosci. Remote. Sens., 2024)

Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks. - Wei Chen 070; Chao Huang 001; Yanwei Yu; Yongguo Jiang; Junyu Dong (ACM Trans. Knowl. Discov. Data, 2024)

MHGCN+: Multiplex Heterogeneous Graph Convolutional Network. - Chaofan Fu; Pengyang Yu; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (ACM Trans. Intell. Syst. Technol., 2024)

MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation. - Shuzhe Li; Wei Chen 070; Bin Wang 045; Chao Huang 001; Yanwei Yu; Junyu Dong (ACM Trans. Inf. Syst., 2024)

A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network. - Yeyu Yan; Zhongying Zhao 001; Zhan Yang; Yanwei Yu; Chao Li 022 (IEEE Trans. Big Data, 2024)

Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting. - Lingxiao Cao; Bin Wang 045; Guiyuan Jiang; Yanwei Yu; Junyu Dong (AAAI, 2025)

Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data. - Ziang Yan; Xingyu Zhao 006; Hanqing Ma; Wei Chen 070; Jianpeng Qi; Yanwei Yu; Junyu Dong (AAAI, 2025)

Scalable Trajectory-User Linking with Dual-Stream Representation Networks. - Hao Zhang; Wei Chen 070; Xingyu Zhao 006; Jianpeng Qi; Guiyuan Jiang; Yanwei Yu (AAAI, 2025)

Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation. - Jinyu Zhang 002; Zhongying Zhao 001; Chao Li 054; Yanwei Yu (AAAI, 2025)

UMGAD: Unsupervised Multiplex Graph Anomaly Detection. - Xiang Li 111; Jianpeng Qi; Zhongying Zhao 001; Guanjie Zheng; Lei Cao 004; Junyu Dong; Yanwei Yu (ICDE, 2025)

Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration. - Hong Xia; Xiao Zhang; Yuan Cao 005; Lei Cao 004; Yanwei Yu; Junyu Dong (ICDE, 2025)

LeDA-GNN: Learnable dual augmentation for graph neural networks. - Gen Liu 001; Zhongying Zhao 001; Chao Li; Yanwei Yu (Expert Syst. Appl., 2025)

Weighted tensor-based consistent anchor graph learning for multi-view clustering. - Guanghao Du; Peng Song 002; Yuanbo Cheng; Zhaowei Liu; Yanwei Yu; Wenming Zheng (Neurocomputing, 2025)

Incorporating attributes and multi-scale structures for heterogeneous graph contrastive learning. - Ruobing Jiang; Yacong Li; Haobing Liu 001; Yanwei Yu (Inf. Fusion, 2025)

Local High-order Structure-aware Graph Neural Network for motif prediction. - Wen Yang; Xiang Li 111; Bin Wang 045; Jianpeng Qi; Zhongying Zhao 001; Peilan He; Yanwei Yu (Knowl. Based Syst., 2025)

Label completion based concept factorization for incomplete multi-view clustering. - Beihua Yang; Peng Song 002; Yuanbo Cheng; Zhaowei Liu 001; Yanwei Yu (Knowl. Based Syst., 2025)

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting. - Zhanyu Liu; Guanjie Zheng; Yanwei Yu (ACM Trans. Knowl. Discov. Data, 2025)

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. - Xiang Li 111; Haobing Liu 001; Jianpeng Qi; Yuan Cao; Guoqing Chao; Yanwei Yu (CoRR, 2025)

Efficient Information Updates in Compute-First Networking via Reinforcement Learning with Joint AoI and VoI. - Jianpeng Qi; Chao Liu; Chengxiang Xu; Rui Wang 013; Junyu Dong; Yanwei Yu (CoRR, 2025)

A Survey on Open-Source Edge Computing Simulators and Emulators: The Computing and Networking Convergence Perspective. - Jianpeng Qi; Chao Liu; Xiao Zhang; Lei Wang; Rui Wang 013; Junyu Dong; Yanwei Yu (CoRR, 2025)

Non-collective Calibrating Strategy for Time Series Forecasting. - Bin Wang 045; Yongqi Han 005; Minbo Ma; Tianrui Li 001; Junbo Zhang; Feng Hong 001; Yanwei Yu (CoRR, 2025)

Structure-Aware Automatic Channel Pruning by Searching with Graph Embedding. - Zifan Liu; Yuan Cao 005; Yanwei Yu; Heng Qi; Jie Gui (CoRR, 2025)

TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation. - Xiao Zhang; Xingyu Zhao 006; Hong Xia; Yuan Cao 005; Guiyuan Jiang; Junyu Dong; Yanwei Yu (CoRR, 2025)

Dual-Channel Multiplex Graph Neural Networks for Recommendation. - Xiang Li 111; Chaofan Fu; Zhongying Zhao 001; Guangjie Zheng; Chao Huang 001; Yanwei Yu; Junyu Dong (IEEE Trans. Knowl. Data Eng., 2025)

Closed-Form and Boundary Expressions for Task-Success Probability in Status-Driven Systems. - Jianpeng Qi; Chao Liu; Rui Wang 013; Junyu Dong; Yanwei Yu (CoRR, 2025)

MA2 Traj: Diffusion network with multi-attribute aggregation for trajectory generation. - Xingyu Zhao 006; Xiao Zhang; Bohan Zhang; Jianpeng Qi; Junyu Dong; Yanwei Yu (GeoInformatica, 2025)

Efficiently Counting Four-Node Motifs in Large-Scale Temporal Graphs. - Zhihao Zhang; Jianpeng Qi; Lei Cao 004; Junyu Dong; Yanwei Yu (VLDB J., 2025)

Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery. - Ruobing Jiang; Yang Liu; Haobing Liu 001; Yanwei Yu; Chunyang Wang 001 (CoRR, 2025)

Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification. - Ruobing Jiang; Mengzhe Liu; Haobing Liu 001; Yanwei Yu (CoRR, 2025)