Yonghui Xu

According to our database, Yonghui Xu authored at least 95 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Conditional Potential User Mining framework via explainable surrogate models.

Yibowen Zhao, Yonghui Xu, Yong Liu, Luwei Yang, Wen Jiang, Wei Ning, Xiaofang Sun, Lizhen Cui

Expert Syst. Appl., 2025

2024

Efficient Asynchronous Multi-Participant Vertical Federated Learning.

Haoran Shi, Yonghui Xu, Yali Jiang, Han Yu, Lizhen Cui

IEEE Trans. Big Data, December, 2024

Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network.

Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

ACM Trans. Knowl. Discov. Data, June, 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, April, 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., April, 2024

Estimating package arrival time via heterogeneous hypergraph neural network.

Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao

Expert Syst. Appl., March, 2024

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan

Expert Syst. Appl., March, 2024

FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning.

Fenglong Cai, Dong Yuan, Zhe Yang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui

Parallel Comput., 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

A Survey of Personalized Medicine Recommendation.

Fanglin Zhu, Lizhen Cui, Yonghui Xu, Zhe Qu, Zhiqi Shen

Int. J. Crowd Sci., 2024

Multi-modal Food Recommendation Using Clustering and Self-supervised Learning.

Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?

Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Personalized Federated Learning for Cross-City Traffic Prediction.

Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network.

Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation.

Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2024

Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition.

Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2024

vBoost: A Lock-free Distributed Index Based on vEB Tree for Disaggregated Memory.

Yuting Li, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang

Proceedings of the IEEE International Conference on Cluster Computing, 2024

Multi-modal Food Recommendation with Health-aware Knowledge Distillation.

Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

EAPR: explainable and augmented patient representation learning for disease prediction.

Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui

Health Inf. Sci. Syst., December, 2023

Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation.

Shaowei Jiang, Wei He, Lizhen Cui, Yonghui Xu, Lei Liu

ACM Trans. Knowl. Discov. Data, November, 2023

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.

Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Multicomponent Adversarial Domain Adaptation: A General Framework.

Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph.

Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang

IEEE Trans. Knowl. Data Eng., 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

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

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

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation.

Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui

CoRR, 2023

Unsupervised Representation Learning for Time Series: A Review.

Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

CoRR, 2023

Model-Contrastive Federated Domain Adaptation.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yifan Zhang

CoRR, 2023

A Survey on Federated Recommendation Systems.

Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui

CoRR, 2023

Multi-View Graph Contrastive Learning for Urban Region Representation.

Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan

Proceedings of the International Joint Conference on Neural Networks, 2023

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.

Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.

Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion.

Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2023

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation.

Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen

Proceedings of the Database Systems for Advanced Applications, 2023

DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks.

Zhe Qu, Lizhen Cui, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2023

CMT: Cross-modal Memory Transformer for Medical Image Report Generation.

Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao

Proceedings of the Database Systems for Advanced Applications, 2023

Logic Event Graph Enhanced Narrative Generation.

Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Towards Distributed Graph Representation Learning.

Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

A Comprehensive Review of the Oversmoothing in Graph Neural Networks.

Xu Zhang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation.

Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen

Proceedings of the IEEE International Conference on Big Data, 2023

Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition.

Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks.

Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series.

Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation.

Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.

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

ACM Trans. Knowl. Discov. Data, 2022

ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yong Liu, Lei Jiang, Haishu Tan

Knowl. Based Syst., 2022

CK-Encoder: Enhanced Language Representation for Sentence Similarity.

Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu, Lizhen Cui

Int. J. Crowd Sci., 2022

Towards AI-Empowered Crowdsourcing.

Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu

CoRR, 2022

Heterogeneous star graph attention network for product attributes prediction.

Xuejiao Zhao, Yong Liu, Yonghui Xu, Yonghua Yang, Xusheng Luo, Chunyan Miao

Adv. Eng. Informatics, 2022

Enhancing Sequential Recommendation with Graph Contrastive Learning.

Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Balancing Supply and Demand for Mobile Crowdsourcing Services.

Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

SAER: Sentiment-Opinion Alignment Explainable Recommendation.

Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2022

Similarity-Aware Collaborative Learning for Patient Outcome Prediction.

Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2022

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer.

Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2022

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction.

Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse.

Jun Lin, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Towards Heterogeneous Federated Learning.

Yue Huang, Yonghui Xu, Lanju Kong, Qingzhong Li, Lizhen Cui

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Temporal Hypergraph for Personalized Clinical Pathway Recommendation.

Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Feature-Guided Logical Perception Network for Health Risk Prediction.

Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Disease Risk Prediction via Heterogeneous Graph Attention Networks.

Zhe Qu, Lizhen Cui, Yonghui Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis.

Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Research on a Gas Concentration Prediction Algorithm Based on Stacking.

Yonghui Xu, Ruotong Meng, Xi Zhao

Sensors, 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, Francisco J. Quiles, Wenhao Sun, Xiang Yu, Yonghui Xu, José Duato

IEEE Micro, 2021

Adaptive Power Iteration Clustering.

Bo Liu, Yong Liu, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, Chunyan Miao

Knowl. Based Syst., 2021

Improved NSGA-II for the minimum constraint removal problem.

Bo Xu, Feng Zhou, Yonghui Xu, Haoran Xu, Kewen Xu

Int. J. Embed. Syst., 2021

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks.

Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu

CoRR, 2021

A Survey on Knowledge Enhanced EHR Data Mining.

Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

A Serious Mobile Game for Neurodegenerative Diseases Rehabilitation and Risk Estimation.

Huiguo Zhang, Yonghui Xu, Jun Lin, Weiming Li, Zhiqi Shen

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Credit Default Prediction via Explainable Ensemble Learning.

Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Knowledge Distillation In Medical Data Mining: A Survey.

Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Music Rhythm Matching Based on Dynamic Step Frequency.

Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Floodgate: taming incast in datacenter networks.

Kexin Liu, Chen Tian, Qingyue Wang, Hao Zheng, Peiwen Yu, Wenhao Sun, Yonghui Xu, Ke Meng, Lei Han, Jie Fu, Wanchun Dou, Guihai Chen

Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting.

Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Personalized Clinical Pathway Recommendation via Attention Based Pre-training.

Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Multi-component transfer metric learning for handling unrelated source domain samples.

Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu

Knowl. Based Syst., 2020

Kernel-target alignment based non-linear metric learning.

Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min

Neurocomputing, 2020

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach.

Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao

CoRR, 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

Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation.

Haobo Wang, Hang Hu, Xinyu Da, Lei Ni, Yu Pan, Yonghui Xu

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

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, José L. Sánchez, Wenhao Sun, Xiang Yu, Yonghui Xu, José Duato

Proceedings of the IEEE Symposium on High-Performance Interconnects, 2020

2019

A Polarized Random Fourier Feature Kernel Least-Mean-Square Algorithm.

Yuqi Liu, Yonghui Xu, Jingli Yang, Shouda Jiang

IEEE Access, 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, Hengjie Song

IEEE Access, 2019

Deep Transfer Learning For Abnormality Detection.

Jie Wei Kong, Yonghui Xu, Han Yu

Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019

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

Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation.

Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu

Neurocomputing, 2018

A Novel Transfer Metric Learning Approach Based on Multi-Group.

Chang'an Yi, Yonghui Xu, Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2017

A Unified Framework for Metric Transfer Learning.

Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song

IEEE Trans. Knowl. Data Eng., 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 gas concentration estimation method based on multivariate relevance vector machine using MOS gas sensor arrays.

Yinsheng Chen, Xiaodong Liu, Jingli Yang, Yonghui Xu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016

Individual Judgments Versus Consensus: Estimating Query-URL Relevance.

Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida

ACM Trans. Web, 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

IEEE Trans. Instrum. Meas., 2016

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

2000

Optimal sensor location in closed-loop control systems for fault detection and isolation.

Yonghui Xu, Jin Jiang

Proceedings of the American Control Conference, 2000