Yonghui Xu

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 88

Top Topics

Clinical Pathway

Domain Adaptation

Top Venues

Int. J. Crowd Sci.

Publications

Liyun Zuo, Jieguang He, Yonghui Xu, Lei Zhang
CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge-cloud collaboration. Clust. Comput. 27 (2) (2024)
Fanglin Zhu, Xu Zhang, Batuo Zhang, Yonghui Xu, Lizhen Cui
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Fanglin Zhu, Lizhen Cui, Yonghui Xu, Zhe Qu, Zhiqi Shen
A Survey of Personalized Medicine Recommendation. Int. J. Crowd Sci. 8 (2) (2024)
Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. 299 (2024)
Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao
Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238 (Part B) (2024)
Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan
TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. Expert Syst. Appl. 238 (Part E) (2024)
Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Multi-modal Food Recommendation using Clustering and Self-supervised Learning. CoRR (2024)
Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. ICDE (2023)
Zhida Shang, Hefeng Meng, Yibowen Zhao, Ronghua Xu, Yonghui Xu, Lizhen Cui
Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. Int. J. Crowd Sci. 7 (3) (2023)
Jia Gu, Youyang Du, Chi Zhang, Yunsen Tang, Huiguo Zhang, Yonghui Xu, Lizhen Cui
Music Intervention in Human Life, Work, and Disease: A Survey. Int. J. Crowd Sci. 7 (3) (2023)
Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. BIBM (2023)
Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI (2023)
Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu
Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) (2023)
Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui
A Survey on Federated Recommendation Systems. CoRR (2023)
Zhe Qu, Lizhen Cui, Yonghui Xu
DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. DASFAA (4) (2023)
Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE (2023)
Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN (2023)
Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) (2023)
Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI (2023)
Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao
CMT: Cross-modal Memory Transformer for Medical Image Report Generation. DASFAA (3) (2023)
Chenglin Qing, Xiu Jin, Yonghui Xu
The effect of creating shared value on enterprise image: focusing on mediating effects of environmental involvement. Kybernetes 52 (2) (2023)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Unsupervised Representation Learning for Time Series: A Review. CoRR (2023)
Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, Lei Liu
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM Trans. Knowl. Discov. Data 17 (9) (2023)
Chang'an Yi, Haotian Chen, Yonghui Xu, Yifan Zhang
Model-Contrastive Federated Domain Adaptation. CoRR (2023)
Yang Yi, Yuting Li, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang
BT-Duper: A Binomial-Tree Based Data Replication Offloading Method with Native RDMA Primitives. ISPA/BDCloud/SocialCom/SustainCom (2023)
Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui
Towards Distributed Graph Representation Learning. ChineseCSCW (1) (2023)
Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. CoRR (2023)
Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. BigData (2023)
Xu Zhang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui
A Comprehensive Review of the Oversmoothing in Graph Neural Networks. ChineseCSCW (1) (2023)
Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui
EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11 (1) (2023)
Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR (2023)
Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu
Logic Event Graph Enhanced Narrative Generation. CSCWD (2023)
Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. BIBM (2023)
Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. BIBM (2022)
Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM (2022)
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI (2022)
Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC (2022)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR (2022)
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR (2022)
Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu
Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) (2022)
Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) (2022)
Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) (2022)
Zhe Qu, Lizhen Cui, Yonghui Xu
Disease Risk Prediction via Heterogeneous Graph Attention Networks. BIBM (2022)
Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. BIBM (2022)
Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang'an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Xuejiao Zhao, Yong Liu, Yonghui Xu, Yonghua Yang, Xusheng Luo, Chunyan Miao
Heterogeneous star graph attention network for product attributes prediction. Adv. Eng. Informatics 51 (2022)
Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu
Towards AI-Empowered Crowdsourcing. CoRR (2022)
Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. CICAI (3) (2022)
Yue Huang, Yonghui Xu, Lanju Kong, Qingzhong Li, Lizhen Cui
Towards Heterogeneous Federated Learning. ChineseCSCW (1) (2022)
Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu
KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) (2022)
Chang'an Yi, Haotian Chen, Yonghui Xu, Yong Liu, Lei Jiang, Haishu Tan
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation. Knowl. Based Syst. 250 (2022)
Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu, Lizhen Cui
CK-Encoder: Enhanced Language Representation for Sentence Similarity. Int. J. Crowd Sci. 6 (1) (2022)
Bo Liu, Yong Liu, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, Chunyan Miao
Adaptive Power Iteration Clustering. Knowl. Based Syst. 225 (2021)
Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao
Personalized Clinical Pathway Recommendation via Attention Based Pre-training. BIBM (2021)
Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. BIBM (2021)
Yonghui Xu, Ruotong Meng, Xi Zhao
Research on a Gas Concentration Prediction Algorithm Based on Stacking. Sensors 21 (5) (2021)
Cristina Olmedilla, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Alfaro-Cortés, José L. Sánchez, Francisco J. Quiles, Wenhao Sun, Xiang Yu, Yonghui Xu, José Duato
DVL-Lossy: Isolating Congesting Flows to Optimize Packet Dropping in Lossy Data-Center Networks. IEEE Micro 41 (1) (2021)
Huiguo Zhang, Yonghui Xu, Jun Lin, Weiming Li, Zhiqi Shen
A Serious Mobile Game for Neurodegenerative Diseases Rehabilitation and Risk Estimation. ICCSE (2021)
Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui
A Survey on Knowledge Enhanced EHR Data Mining. ICCSE (2021)
Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. CoRR (2021)
Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui
Knowledge Distillation In Medical Data Mining: A Survey. ICCSE (2021)
Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui
Music Rhythm Matching Based on Dynamic Step Frequency. ICCSE (2021)
Kexin Liu, Chen Tian, Qingyue Wang, Hao Zheng, Peiwen Yu, Wenhao Sun, Yonghui Xu, Ke Meng, Lei Han, Jie Fu, Wanchun Dou, Guihai Chen
Floodgate: taming incast in datacenter networks. CoNEXT (2021)
Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin
Credit Default Prediction via Explainable Ensemble Learning. ICCSE (2021)
Bo Xu, Feng Zhou, Yonghui Xu, Haoran Xu, Kewen Xu
Improved NSGA-II for the minimum constraint removal problem. Int. J. Embed. Syst. 14 (1) (2021)
Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu
Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. 203 (2020)
Haobo Wang, Hang Hu, Xinyu Da, Lei Ni, Yu Pan, Yonghui Xu
Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation. WCSP (2020)
Yonghui Xu, Zixuan Yang, Yuqi Liu, Shouda Jiang
Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size. IEEE Access 8 (2020)
Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. CoRR (2020)
Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. CoRR (2020)
Cristina Olmedilla, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Alfaro-Cortés, Francisco J. Quiles, José L. Sánchez, Wenhao Sun, Xiang Yu, Yonghui Xu, José Duato
Optimizing Packet Dropping by Efficient Congesting-Flow Isolation in Lossy Data-Center Networks. Hot Interconnects (2020)
Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min
Kernel-target alignment based non-linear metric learning. Neurocomputing 411 (2020)
Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song
Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. IEEE Access 7 (2019)
Jie Wei Kong, Yonghui Xu, Han Yu
Deep Transfer Learning For Abnormality Detection. ICCSE (2019)
Yuqi Liu, Yonghui Xu, Jingli Yang, Shouda Jiang
A Polarized Random Fourier Feature Kernel Least-Mean-Square Algorithm. IEEE Access 7 (2019)
Chang'an Yi, Yonghui Xu, Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min
A Novel Transfer Metric Learning Approach Based on Multi-Group. ROBIO (2018)
Yonghui Xu, Xi Zhao, Yinsheng Chen, Wenjie Zhao
Research on a Mixed Gas Recognition and Concentration Detection Algorithm Based on a Metal Oxide Semiconductor Olfactory System Sensor Array. Sensors 18 (10) (2018)
Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. Neurocomputing 321 (2018)
Yinsheng Chen, Xiaodong Liu, Jingli Yang, Yonghui Xu
A gas concentration estimation method based on multivariate relevance vector machine using MOS gas sensor arrays. I2MTC (2017)
Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song
A Unified Framework for Metric Transfer Learning. IEEE Trans. Knowl. Data Eng. 29 (6) (2017)
Yinsheng Chen, Jingli Yang, Yonghui Xu, Shouda Jiang, Xiaodong Liu, Qi Wang
Status Self-Validation of Sensor Arrays Using Gray Forecasting Model and Bootstrap Method. IEEE Trans. Instrum. Meas. 65 (7) (2016)
Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida
Individual Judgments Versus Consensus: Estimating Query-URL Relevance. ACM Trans. Web 10 (1) (2016)
Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu
Multi-instance multi-label distance metric learning for genome-wide protein function prediction. Comput. Biol. Chem. 63 (2016)
Yonghui Xu, Jin Jiang
Optimal sensor location in closed-loop control systems for fault detection and isolation. ACC (2000)