Optimal sensor location in closed-loop control systems for fault detection and isolation. - Yonghui Xu; Jin Jiang 001 (ACC, 2000)

Multi-instance multi-label distance metric learning for genome-wide protein function prediction. - Yonghui Xu; Huaqing Min; Hengjie Song; Qingyao Wu (Comput. Biol. Chem., 2016)

Status Self-Validation of Sensor Arrays Using Gray Forecasting Model and Bootstrap Method. - Yinsheng Chen; Jingli Yang; Yonghui Xu; Shouda Jiang; Xiaodong Liu; Qi Wang 034 (IEEE Trans. Instrum. Meas., 2016)

Individual Judgments Versus Consensus: Estimating Query-URL Relevance. - Hengjie Song; Yonghui Xu; Huaqing Min; Qingyao Wu; Wei Wei 002; Jianshu Weng; Xiaogang Han; Qiang Yang 001; Jialiang Shi; Jiaqian Gu; Chunyan Miao; Toyoaki Nishida (ACM Trans. Web, 2016)

A gas concentration estimation method based on multivariate relevance vector machine using MOS gas sensor arrays. - Yinsheng Chen; Xiaodong Liu; Jingli Yang; Yonghui Xu (I2MTC, 2017)

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. - Qingyao Wu; Hanrui Wu; Xiaoming Zhou; Mingkui Tan; Yonghui Xu; Yuguang Yan; Tianyong Hao (IEEE Trans. Knowl. Data Eng., 2017)

A Unified Framework for Metric Transfer Learning. - Yonghui Xu; Sinno Jialin Pan; Hui Xiong 001; Qingyao Wu; Ronghua Luo; Huaqing Min; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2017)

A Novel Transfer Metric Learning Approach Based on Multi-Group. - Chang'an Yi; Yonghui Xu; Bo Xu 019; Jingtang Zhong; Zhen Zhu; Pengshuai Yin; Huaqing Min (ROBIO, 2018)

Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. - Siyu Jiang; Yonghui Xu; Hengjie Song; Qingyao Wu; Michael K. Ng 001; Huaqing Min; Shaojian Qiu (Neurocomputing, 2018)

Research on a Mixed Gas Recognition and Concentration Detection Algorithm Based on a Metal Oxide Semiconductor Olfactory System Sensor Array. - Yonghui Xu; Xi Zhao; Yinsheng Chen; Wenjie Zhao (Sensors, 2018)

Deep Transfer Learning For Abnormality Detection. - Jie Wei Kong; Yonghui Xu; Han Yu 001 (ICCSE, 2019)

Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. - Siyu Jiang; Yonghui Xu; Tengyun Wang; Haizhi Yang; Shaojian Qiu; Han Yu 001; Hengjie Song (IEEE Access, 2019)

A Polarized Random Fourier Feature Kernel Least-Mean-Square Algorithm. - Yuqi Liu; Yonghui Xu; Jingli Yang; Shouda Jiang (IEEE Access, 2019)

Optimizing Packet Dropping by Efficient Congesting-Flow Isolation in Lossy Data-Center Networks. - Cristina Olmedilla; Jesús Escudero-Sahuquillo; Pedro Javier García; Francisco J. Alfaro-Cortés; Francisco J. Quiles 001; José L. Sánchez 002; Wenhao Sun; Xiang Yu; Yonghui Xu; José Duato (Hot Interconnects, 2020)

Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation. - Haobo Wang; Hang Hu 001; Xinyu Da; Lei Ni; Yu Pan 003; Yonghui Xu (WCSP, 2020)

Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size. - Yonghui Xu; Zixuan Yang; Yuqi Liu; Shouda Jiang (IEEE Access, 2020)

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. - Yonghui Xu; Shengjie Sun; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Hengjie Song; Chuanyan Miao (CoRR, 2020)

Kernel-target alignment based non-linear metric learning. - Yonghui Xu; Chunyan Miao; Yong Liu 020; Hengjie Song; Yi Hu; Huaqing Min (Neurocomputing, 2020)

Multi-component transfer metric learning for handling unrelated source domain samples. - Chang'an Yi; Yonghui Xu; Han Yu 001; Yuguang Yan; Yang Liu 165 (Knowl. Based Syst., 2020)

Personalized Clinical Pathway Recommendation via Attention Based Pre-training. - Xijie Lin; Yuan Li; Yonghui Xu; Wei Guo 017; Wei He 020; Honglu Zhang; Lizhen Cui; Chunyan Miao (BIBM, 2021)

Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. - Honglu Zhang; Yonghui Xu; Lei Liu 003; Xudong Lu; Xijie Lin; Zhongmin Yan; Lizhen Cui; Chunyan Miao (BIBM, 2021)

Floodgate: taming incast in datacenter networks. - Kexin Liu; Chen Tian 001; Qingyue Wang; Hao Zheng; Peiwen Yu; Wenhao Sun; Yonghui Xu; Ke Meng; Lei Han; Jie Fu; Wanchun Dou; Guihai Chen (CoNEXT, 2021)

Music Rhythm Matching Based on Dynamic Step Frequency. - Youyang Du; Chi Zhang; Escoffier Wang; Yunsen Tang; Yonghui Xu; Lizhen Cui (ICCSE, 2021)

Knowledge Distillation In Medical Data Mining: A Survey. - Hefeng Meng; Zhiqiang Lin; Fan Yang 068; Yonghui Xu; Lizhen Cui (ICCSE, 2021)

Credit Default Prediction via Explainable Ensemble Learning. - Ronghua Xu; Hefeng Meng; Zhiqiang Lin; Yonghui Xu; Lizhen Cui; Jun Lin 006 (ICCSE, 2021)

A Serious Mobile Game for Neurodegenerative Diseases Rehabilitation and Risk Estimation. - Huiguo Zhang; Yonghui Xu; Jun Lin 006; Weiming Li; Zhiqi Shen 001 (ICCSE, 2021)

A Survey on Knowledge Enhanced EHR Data Mining. - Jiancheng Zhang; Xiao Yang; Hefeng Meng; Zhiqiang Lin; Yonghui Xu; Lizhen Cui (ICCSE, 2021)

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. - Xiaofang Sun 003; Xiangwei Zheng 001; Yonghui Xu; Lizhen Cui; Bin Hu 001 (CoRR, 2021)

Improved NSGA-II for the minimum constraint removal problem. - Bo Xu 019; Feng Zhou; Yonghui Xu; Haoran Xu; Kewen Xu (Int. J. Embed. Syst., 2021)

Adaptive Power Iteration Clustering. - Bo Liu; Yong Liu 020; Huiyan Zhang; Yonghui Xu; Can Tang; Lianggui Tang; Huafeng Qin; Chunyan Miao (Knowl. Based Syst., 2021)

DVL-Lossy: Isolating Congesting Flows to Optimize Packet Dropping in Lossy Data-Center Networks. - Cristina Olmedilla; Jesús Escudero-Sahuquillo; Pedro Javier García; Francisco J. Alfaro-Cortés; José L. Sánchez 002; Francisco J. Quiles 001; Wenhao Sun; Xiang Yu; Yonghui Xu; José Duato (IEEE Micro, 2021)

Research on a Gas Concentration Prediction Algorithm Based on Stacking. - Yonghui Xu; Ruotong Meng; Xi Zhao (Sensors, 2021)

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Zhen Li 049; Yonghui Xu; Chunyan Miao (BIBM, 2022)

Disease Risk Prediction via Heterogeneous Graph Attention Networks. - Zhe Qu; Lizhen Cui; Yonghui Xu (BIBM, 2022)

Feature-Guided Logical Perception Network for Health Risk Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Fanglin Zhu; Yonghui Xu; Ning Liu 014 (BIBM, 2022)

Temporal Hypergraph for Personalized Clinical Pathway Recommendation. - Fanglin Zhu; Shunyu Chen; Yonghui Xu; Wei He 020; Fuqiang Yu; Xu Zhang; Lizhen Cui (BIBM, 2022)

Towards Heterogeneous Federated Learning. - Yue Huang; Yonghui Xu; Lanju Kong; Qingzhong Li; Lizhen Cui (ChineseCSCW (1), 2022)

XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. - Jun Lin 006; Yonghui Xu; Wei Guo 017; Lizhen Cui; Chunyan Miao (CICAI (3), 2022)

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. - Xiao Yang; Ning Liu 014; Jianbo Qiao; Haitao Yuan 002; Teng Ma 006; Yonghui Xu; Lizhen Cui (CICAI (2), 2022)

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. - Yiming Cao; Lizhen Cui; Fuqiang Yu; Lei Zhang 199; Zhen Li 049; Ning Liu 014; Yonghui Xu (DASFAA (3), 2022)

Similarity-Aware Collaborative Learning for Patient Outcome Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu (DASFAA (2), 2022)

SAER: Sentiment-Opinion Alignment Explainable Recommendation. - Xiaoning Zong; Yong Liu 020; Yonghui Xu; Yixin Zhang; Zhiqi Shen 001; Yonghua Yang; Lizhen Cui (DASFAA (2), 2022)

Balancing Supply and Demand for Mobile Crowdsourcing Services. - Zhaoming Li; Wei He 020; Ning Liu 014; Yonghui Xu; Lizhen Cui; Kaiyuan Qi (ICSOC, 2022)

Enhancing Sequential Recommendation with Graph Contrastive Learning. - Yixin Zhang; Yong Liu 020; Yonghui Xu; Hao Xiong; Chenyi Lei; Wei He 020; Lizhen Cui; Chunyan Miao (IJCAI, 2022)

Heterogeneous star graph attention network for product attributes prediction. - Xuejiao Zhao; Yong Liu 020; Yonghui Xu; Yonghua Yang; Xusheng Luo; Chunyan Miao (Adv. Eng. Informatics, 2022)

Towards AI-Empowered Crowdsourcing. - Shipeng Wang 001; Qingzhong Li; Lizhen Cui; Zhongmin Yan; Yonghui Xu; Zhuan Shi; Zhiqi Shen 001; Han Yu 001 (CoRR, 2022)

CK-Encoder: Enhanced Language Representation for Sentence Similarity. - Tao Jiang; Fengjian Kang; Wei Guo 017; Wei He 020; Lei Liu 003; Xudong Lu; Yonghui Xu; Lizhen Cui (Int. J. Crowd Sci., 2022)

ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Yong Liu 020; Lei Jiang; Haishu Tan (Knowl. Based Syst., 2022)

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. - Yonghui Xu; Shengjie Sun; Huiguo Zhang; Chang'an Yi; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Huaqing Min; Hengjie Song; Chuanyan Miao (ACM Trans. Knowl. Discov. Data, 2022)

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Zhen Li 049; Yonghui Xu (AAAI, 2023)

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. - Qianwen Meng; Hangwei Qian; Yong Liu 020; Lizhen Cui; Yonghui Xu; Zhiqi Shen 001 (AAAI, 2023)

BT-Duper: A Binomial-Tree Based Data Replication Offloading Method with Native RDMA Primitives. - Yang Yi; Yuting Li; Yun Xu; Pengcheng Wang; Yonghui Xu; Weiguang Wang (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. - Qianwen Meng; Yonghui Xu; Fanglin Zhu; Lizhen Cui (BIBM, 2023)

Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. - Xiaofang Sun 003; Wei He 020; Yonghui Xu; Yali Jiang; Xiangwei Zheng 001; Yongqing Zheng; Wei Guo 017; Lizhen Cui (BIBM, 2023)

FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. - Hongyu Qiu; Yongwei Wang; Yonghui Xu; Lizhen Cui; Zhiqi Shen 001 (IEEE Big Data, 2023)

A Comprehensive Review of the Oversmoothing in Graph Neural Networks. - Xu Zhang; Yonghui Xu; Wei He 020; Wei Guo 017; Lizhen Cui (ChineseCSCW (1), 2023)

Towards Distributed Graph Representation Learning. - Hanlin Zhang; Yue Zhang; Wei He 020; Yonghui Xu; Lizhen Cui (ChineseCSCW (1), 2023)

Logic Event Graph Enhanced Narrative Generation. - Caiyan Li; Lizhen Cui; Yonghui Xu; Ning Liu 014 (CSCWD, 2023)

CMT: Cross-modal Memory Transformer for Medical Image Report Generation. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Ziheng Cheng; Zhen Li 049; Yonghui Xu; Chunyan Miao (DASFAA (3), 2023)

DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. - Zhe Qu; Lizhen Cui; Yonghui Xu (DASFAA (4), 2023)

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. - Lei Zhang 199; Mingliang Wang; Xin Zhou 008; Xingyu Wu; Yiming Cao; Yonghui Xu; Lizhen Cui; Zhiqi Shen 001 (DASFAA (4), 2023)

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. - Kai Zhang; Daokun Zhang; Ning Liu 014; Yonghua Yang; Yonghui Xu; Zhongmin Yan; Hui Li 048; Lizhen Cui (DASFAA (2), 2023)

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. - Yixin Zhang; Yong Liu 020; Hao Xiong; Yi Liu 057; Fuqiang Yu; Wei He 020; Yonghui Xu; Lizhen Cui; Chunyan Miao (ICDE, 2023)

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. - Lei Zhang 199; Xin Zhou 008; Zhiwei Zeng; Yiming Cao; Yonghui Xu; Mingliang Wang; Xingyu Wu; Yong Liu 020; Lizhen Cui; Zhiqi Shen 001 (ICDE, 2023)

Multi-View Graph Contrastive Learning for Urban Region Representation. - Yu Zhang; Yonghui Xu; Lizhen Cui; Zhongmin Yan (IJCNN, 2023)

iWriter: An Offloading Method for Indirectly Writing Remote Data. - Yuting Li; Yang Yi; Yun Xu; Pengcheng Wang; Yonghui Xu; Weiguang Wang (IPCCC, 2023)

Model-Contrastive Federated Domain Adaptation. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Yifan Zhang 004 (CoRR, 2023)

Unsupervised Representation Learning for Time Series: A Review. - Qianwen Meng; Hangwei Qian; Yong Liu 020; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (CoRR, 2023)

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. - Chang'an Yi; Haotian Chen 002; Yifan Zhang 004; Yonghui Xu; Lizhen Cui (CoRR, 2023)

Music Intervention in Human Life, Work, and Disease: A Survey. - Jia Gu; Youyang Du; Chi Zhang; Yunsen Tang; Huiguo Zhang; Yonghui Xu; Lizhen Cui (Int. J. Crowd Sci., 2023)

Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. - Zhida Shang; Hefeng Meng; Yibowen Zhao; Ronghua Xu; Yonghui Xu; Lizhen Cui (Int. J. Crowd Sci., 2023)

The effect of creating shared value on enterprise image: focusing on mediating effects of environmental involvement. - Chenglin Qing; Xiu Jin; Yonghui Xu (Kybernetes, 2023)

Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. - Yong Liu 020; Susen Yang; Yonghui Xu; Chunyan Miao; Min Wu 008; Juyong Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Multicomponent Adversarial Domain Adaptation: A General Framework. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Huanhuan Chen; Yong Liu 020; Haishu Tan; Yuguang Yan; Han Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. - Fuqiang Yu; Lizhen Cui; Huanhuan Chen; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu; Hua Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. - Shaowei Jiang; Wei He 020; Lizhen Cui; Yonghui Xu; Lei Liu 003 (ACM Trans. Knowl. Discov. Data, 2023)

EAPR: explainable and augmented patient representation learning for disease prediction. - Jiancheng Zhang; Yonghui Xu; Bicui Ye; Yibowen Zhao; Xiaofang Sun 003; Qi Meng; Yang Zhang; Lizhen Cui (Health Inf. Sci. Syst., 2023)

Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation. - Haotian Chen 002; Yonghui Xu; Yanyu Xu; Yixin Zhang; Lizhen Cui (BIBM, 2024)

Multi-modal Food Recommendation with Health-aware Knowledge Distillation. - Yixin Zhang; Xin Zhou 008; Fanglin Zhu; Ning Liu 014; Wei Guo 017; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (CIKM, 2024)

vBoost: A Lock-free Distributed Index Based on vEB Tree for Disaggregated Memory. - Yuting Li; Yun Xu; Pengcheng Wang; Yonghui Xu; Weiguang Wang (CLUSTER Workshops, 2024)

SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. - Qianwen Meng; Hangwei Qian; Yonghui Xu; Lizhen Cui (DASFAA (2), 2024)

Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. - Xiaofang Sun 003; Yonghui Xu; Ning Liu 014; Yongqing Zheng; Lizhen Cui (DASFAA (7), 2024)

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. - Yibowen Zhao; Yonghui Xu; Yixin Zhang; Wei He 020; Lizhen Cui (DASFAA (6), 2024)

Counterfactual Reasoning and Cognitive Intelligence for Rational Robots. - Xuehong Tao; YuXin Miao; Yuan Miao 001; Guanhua Wang; Neda Aziz; Bruce Gu; Gongqi Lin; Lizhen Cui; Yonghui Xu; Wei Guo 017 (ICARCV, 2024)

Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. - Yibowen Zhao; Yonghui Xu; Ning Liu 014; Yixin Zhang; Wei Guo 017; Xudong Lu; Lizhen Cui (ICME, 2024)

Personalized Federated Learning for Cross-City Traffic Prediction. - Yu Zhang; Hua Lu 001; Ning Liu 014; Yonghui Xu; Qingzhong Li; Lizhen Cui (IJCAI, 2024)

AutoMP: A Tool to Automate Performance Testing for Model Placement on GPUs. - Zhe Yang; Wei He 020; Fenglong Cai; Yonghui Xu; Wei Guo 017; Lizhen Cui (ISPA, 2024)

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation? - Chang'an Yi; Haotian Chen 002; Yifan Zhang 004; Yonghui Xu; Yan Zhou; Lizhen Cui (ACM Multimedia, 2024)

Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. - Yixin Zhang; Xin Zhou 008; Qianwen Meng; Fanglin Zhu; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (PRICAI (1), 2024)

A Survey of Personalized Medicine Recommendation. - Fanglin Zhu; Lizhen Cui; Yonghui Xu; Zhe Qu; Zhiqi Shen 001 (Int. J. Crowd Sci., 2024)

Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. - Qianwen Meng; Hangwei Qian; Yonghui Xu; Lizhen Cui (Knowl. Based Syst., 2024)

FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning. - Fenglong Cai; Dong Yuan 001; Zhe Yang; Yonghui Xu; Wei He 020; Wei Guo 017; Lizhen Cui (Parallel Comput., 2024)

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Yan Zhou; Juan Du; Lizhen Cui; Haishu Tan (Expert Syst. Appl., 2024)

Estimating package arrival time via heterogeneous hypergraph neural network. - Lei Zhang 199; Xingyu Wu; Yong Liu 020; Xin Zhou 008; Yiming Cao; Yonghui Xu; Lizhen Cui; Chunyan Miao (Expert Syst. Appl., 2024)

CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge-cloud collaboration. - Liyun Zuo; Jieguang He; Yonghui Xu; Lei Zhang (Clust. Comput., 2024)

Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. - Fanglin Zhu; Xu Zhang; Batuo Zhang; Yonghui Xu; Lizhen Cui (IEEE J. Biomed. Health Informatics, 2024)

Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. - Lei Zhang 199; Yong Liu 020; Zhiwei Zeng; Yiming Cao; Xingyu Wu; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (ACM Trans. Knowl. Discov. Data, 2024)

Efficient Asynchronous Multi-Participant Vertical Federated Learning. - Haoran Shi 003; Yonghui Xu; Yali Jiang; Han Yu 001; Lizhen Cui (IEEE Trans. Big Data, 2024)

Effective test-time personalization for federated semantic segmentation. - Haotian Chen 002; Yonghui Xu; Yanyu Xu; Yibowen Zhao; Yixin Zhang; Lizhen Cui (Expert Syst. Appl., 2025)

A capsule-based reinforcement learning framework for supply-demand matching in mobile crowdsourcing. - Yiping Li; Wei He 020; Lizhen Cui; Yonghui Xu; Wei Guo 017; Zhen Feng (Expert Syst. Appl., 2025)

Conditional Potential User Mining framework via explainable surrogate models. - Yibowen Zhao; Yonghui Xu; Yong Liu 020; Luwei Yang; Wen Jiang; Wei Ning; Xiaofang Sun 003; Lizhen Cui (Expert Syst. Appl., 2025)

Survey on AI-Assisted Power Transmission Line Fault Detection. - Yue Zhang; Yonghui Xu; Lizhen Cui (Int. J. Crowd Sci., 2025)

A Self-Supervised Multiview Contrastive Learning Network for the Fault Diagnosis of Rotating Machinery Under Limited Annotation Information. - Yonghui Xu; Xiang Lu; Tianyu Gao 002; Ruotong Meng (IEEE Trans. Instrum. Meas., 2025)

A Survey on Federated Recommendation Systems. - Zehua Sun; Yonghui Xu; Yong Liu 020; Wei He 020; Lanju Kong; Fangzhao Wu; Yali Jiang; Lizhen Cui (IEEE Trans. Neural Networks Learn. Syst., 2025)

LexPro-1.0 Technical Report. - Haotian Chen 002; Yanyu Xu; Boyan Wang; Chaoyue Zhao; Xiaoyu Han; Fang Wang; Lizhen Cui; Yonghui Xu (CoRR, 2025)

A Lock-free RDMA-friendly Index in CPU-parsimonious Environments. - Yuting Li; Yun Xu; Pengcheng Wang; Yonghui Xu; Weiguang Wang (ACM Trans. Archit. Code Optim., 2025)

FDAC: Federated Domain Adaptation via Dual Contrastive Learning. - Chang'an Yi; Haotian Chen 002; Yifan Zhang 004; Yonghui Xu; Yan Zhou; Lizhen Cui; Han Yu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Cold-start User Recommendation via Heterogeneous Domain Adaptation. - Hanrui Wu; Yanxin Wu; Nuosi Li; Jia Zhang; Yonghui Xu; Michael K. Ng 001; Jinyi Long (ACM Trans. Inf. Syst., 2025)