Yun Yang

According to our database, Yun Yang authored at least 97 papers between 2006 and 2024.

Collaborative distances:

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

2024

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.

Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang

IEEE Trans. Knowl. Data Eng., October, 2024

Guest Editorial: AutoML for Nonstationary Data.

Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang

IEEE Trans. Artif. Intell., June, 2024

A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction.

Yan Kang, Bin Pu, Yongqi Kou, Yun Yang, Jianguo Chen, Khan Muhammad, Po Yang, Lida Xu, Mohammad Hijji

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Human Body Impact and Error Correction for Indoor UWB Ranging.

Xueping Li, Yue Gao, Yuan Yang, Wei Xiang, Xiaolin Jiang, Yun Yang, Xiaoling Zhang

IEEE Trans. Consumer Electron., February, 2024

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data.

Yan Kang, Luhan Peng, Jing Guo, Yuhuan Lu, Yun Yang, Baochen Fan, Bin Pu

IEEE Trans. Consumer Electron., February, 2024

Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge.

Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang

Knowl. Based Syst., 2024

HICL: Hierarchical Intent Contrastive Learning for sequential recommendation.

Yan Kang, Yancong Yuan, Bin Pu, Yun Yang, Lei Zhao, Jing Guo

Expert Syst. Appl., 2024

Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence.

Dongxiao Hu, Dapeng Lan, Yu Liu, Jiahong Ning, Jia Wang, Yun Yang, Zhibo Pang

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction.

Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation.

Pei Wang, Yun Yang, Zhenyu Yu

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

An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors.

Mingchang Xu, Xiyang Peng, Po Yang, Jun Qi, Yun Yang

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging.

Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

Efficient multi-task learning with adaptive temporal structure for progression prediction.

Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang

Neural Comput. Appl., August, 2023

Efficient Perturbation Inference and Expandable Network for continual learning.

Fei Du, Yun Yang, Ziyuan Zhao, Zeng Zeng

Neural Networks, February, 2023

Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation.

Pei Wang, Yun Yang, Yuelong Xia, Kun Wang, Xingyi Zhang, Song Wang

IEEE Trans. Multim., 2023

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.

Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang

IEEE Internet Things J., 2023

A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy.

Shifeng Li, Ruoling Peng, Po Yang, Yun Yang

Proceedings of the 22nd IEEE International Conference on Trust, 2023

A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor.

Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.

Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.

Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment.

Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions.

Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare.

Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Temporal Smoothness in Multi-Task Learning.

Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

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

2022

Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification.

Yun Yang, Yuanyuan Hu, Xingyi Zhang, Song Wang

IEEE Trans. Cybern., 2022

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.

Yun Yang, Yulong Rao, Minghao Yu, Yan Kang

Neural Networks, 2022

Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis.

Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model.

Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Material Calculation Collaborates with Grain Morphology Knowledge Graph for Material Properties Prediction.

Ziwen Pan, Chao Shu, Zhuoran Xin, Cheng Xie, Qi Shen, Yun Yang

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression.

Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images.

Qi Jia, Jing Guo, Fei Du, Peng Yang, Yun Yang

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

2021

A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks.

Fan Cheng, Congtao Wang, Xingyi Zhang, Yun Yang

IEEE/ACM Trans. Netw., 2021

Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.

Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu

Neural Networks, 2021

A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods.

Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang

Mob. Networks Appl., 2021

Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data.

Yun Yang, Fengtao Nan, Po Yang

J. Ind. Inf. Integr., 2021

Reservoir hosts prediction for COVID-19 by hybrid transfer learning model.

Yun Yang, Jing Guo, Pei Wang, Yaowei Wang, Minghao Yu, Xiang Wang, Po Yang, Liang Sun

J. Biomed. Informatics, 2021

Multi-label classification with weighted classifier selection and stacked ensemble.

Yuelong Xia, Ke Chen, Yun Yang

Inf. Sci., 2021

Multilayer Internet-of-Things Middleware Based on Knowledge Graph.

Cheng Xie, Beibei Yu, Zuoying Zeng, Yun Yang, Qing Liu

IEEE Internet Things J., 2021

A novel word similarity measure method for IoT-enabled Healthcare applications.

Dehai Zhang, Xiaoqiang Xia, Yun Yang, Po Yang, Cheng Xie, Menglong Cui, Qing Liu

Future Gener. Comput. Syst., 2021

A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view.

Fengtao Nan, Yahui Tang, Po Yang, Zhenli He, Yun Yang

Future Gener. Comput. Syst., 2021

Class knowledge overlay to visual feature learning for zero-shot image classification.

Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu

Comput. Vis. Image Underst., 2021

Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning.

Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang

CoRR, 2021

A weighted multi-feature transfer learning framework for intelligent medical decision making.

Yun Yang, Jing Guo, Qiongwei Ye, Yuelong Xia, Po Yang, Amin Ullah, Khan Muhammad

Appl. Soft Comput., 2021

MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.

Jin Li, Tao Liu, Jingru Wang, Qing Li, Chenxi Ning, Yun Yang

Artif. Intell. Medicine, 2021

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.

Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA.

Liu Tao, Xiang Wang, Xiyang Peng, Po Yang, Jun Qi, Yun Yang

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Generalization Self-distillation with Epoch-wise Regularization.

Yuelong Xia, Yun Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning.

Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Zero-Shot Learning Based on Knowledge Sharing.

Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Unsupervised Ensemble Learning and Its Application to Temporal Data Mining: Keynote Address.

Yun Yang

Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021

2020

DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems.

Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang

IEEE Trans. Ind. Informatics, 2020

A dimension-reduction based multilayer perception method for supporting the medical decision making.

Shin-Jye Lee, Ching-Hsun Tseng, G. T.-R. Lin, Yun Yang, Po Yang, Khan Muhammad, Hari Mohan Pandey

Pattern Recognit. Lett., 2020

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure.

Jun Qi, Po Yang, Lee Newcombe, Xiyang Peng, Yun Yang, Zhong Zhao

Inf. Fusion, 2020

MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning.

Po Yang, Jun Qi, Xulong Wang, Yun Yang

CoRR, 2020

Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression.

Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life.

Xiyang Peng, Xiang Wang, Jun Qi, Yun Yang, Jie Li, Po Yang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management.

Zhen Pang, Shuhao Zhang, Yun Yang, Jun Qi, Po Yang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Traffic sign classification via Semi-Supervised model with uncertain labels.

Luhui Yang, Qing Liu, Yun Yang, Po Yang

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis.

Jiwei Xu, Yun Yang, Po Yang

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble.

QingNan Li, Yun Yang, Po Yang

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Multi-View Facial Expression Recognition based o n Multitask Learning and Generative Adversarial Network.

Jiajun Fan, Shipu Wang, Po Yang, Yun Yang

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

HNSleepNet: A Novel Hybrid Neural Network for Home Health-Care Automatic Sleep Staging with Raw Single-Channel EEG.

Weiwei Chen, Yun Yang, Po Yang

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning.

Hongxin Xiang, Ting Zeng, Yun Yang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data.

Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv

ACM Trans. Intell. Syst. Technol., 2019

Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles.

Yun Yang, Jianmin Jiang

IEEE Trans. Cybern., 2019

CASS: Criticality-Aware Standby-Sparing for real-time systems.

Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, Zhishan Guo

J. Syst. Archit., 2019

Knowledge Graph-Based Image Classification Refinement.

Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen

IEEE Access, 2019

GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform.

Yun Yang, Fengtao Nan, Po Yang, Qiang Meng, Yingfu Xie, Dehai Zhang, Khan Muhammad

IEEE Access, 2019

A Stacked Multi-Granularity Convolution Denoising Auto-Encoder.

Yun Yang, Lijuan Cao, Qing Liu, Po Yang

IEEE Access, 2019

A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases.

Xulong Wang, Jun Qi, Yun Yang, Po Yang

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks.

Wenzhao Shao, Po Yang, Yun Yang

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices.

Jun Qi, Yun Yang, Xiyang Peng, Lee Newcombe, Andrew Simpson, Po Yang

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Multi-source Ensemble Transfer Approach for Medical Text Auxiliary Diagnosis.

Xinfa Li, Yun Yang, Po Yang

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder.

Lijuan Cao, Qing Liu, Yun Yang

Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019

2018

User Profiling in Elderly Healthcare Services in China: Scalper Detection.

Cheng Xie, Hongming Cai, Yun Yang, Lihong Jiang, Po Yang

IEEE J. Biomed. Health Informatics, 2018

Bi-weighted ensemble via HMM-based approaches for temporal data clustering.

Yun Yang, Jianmin Jiang

Pattern Recognit., 2018

Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review.

Jun Qi, Po Yang, Atif Waraich, Zhikun Deng, Youbing Zhao, Yun Yang

J. Biomed. Informatics, 2018

A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making.

Shin-Jye Lee, Zhaozhao Xu, Tong Li, Yun Yang

J. Biomed. Informatics, 2018

A novel parallel distance metric-based approach for diversified ranking on large graphs.

Jin Li, Yun Yang, Xiaoling Wang, Zhiming Zhao, Tong Li

Future Gener. Comput. Syst., 2018

Ensemble Learning-Based Person Re-identification with Multiple Feature Representations.

Yun Yang, Xiaofang Liu, Qiongwei Ye, Dapeng Tao

Complex., 2018

Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment.

Cheng Xie, Po Yang, Yun Yang

IEEE Access, 2018

Transfer Learning with Ensemble of Multiple Feature Representations.

Hang Zhao, Qing Liu, Yun Yang

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

Improvement of TF-IDF Algorithm Based on Knowledge Graph.

Yanpeng Wang, Dehai Zhang, Ye Yuan, Qing Liu, Yun Yang

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

Least-Squares Support Vector Machine for Semi-Supervised Multi-Tasking.

Xuekuo Jia, Shipu Wang, Yun Yang

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

2017

An adaptive semi-supervised clustering approach via multiple density-based information.

Yun Yang, Zongze Li, Wei Wang, Dapeng Tao

Neurocomputing, 2017

Fuzzy ontology induction in the cognitive model of ontology learning.

Dehai Zhang, Naiyao Wang, Ye Yuan, Bin Wang, Yun Yang

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

K-means based on active learning for support vector machine.

Jie Gan, Ang Li, Qian-Lin Lei, Hao Ren, Yun Yang

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

Semi-supervised distance metric learning for person re-identification.

Feng Chen, Jinhong Chai, Dinghu Ren, Xiaofang Liu, Yun Yang

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016

Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions.

Yun Yang, Jianmin Jiang

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

A robust semi-supervised learning approach via mixture of label information.

Yun Yang, Xingchen Liu

Pattern Recognit. Lett., 2015

2014

HMM-based hybrid meta-clustering ensemble for temporal data.

Yun Yang, Jianmin Jiang

Knowl. Based Syst., 2014

2011

Unsupervised ensemble learning and its application to temporal data clustering.

Yun Yang

PhD thesis, 2011

Time Series Clustering Via RPCL Network Ensemble With Different Representations.

Yun Yang, Ke Chen

IEEE Trans. Syst. Man Cybern. Part C, 2011

Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations.

Yun Yang, Ke Chen

IEEE Trans. Knowl. Data Eng., 2011

2010

Unsupervised learning via iteratively constructed clustering ensemble.

Yun Yang, Ke Chen

Proceedings of the International Joint Conference on Neural Networks, 2010

2007

Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering.

Yun Yang, Ke Chen

Proceedings of the Trends in Neural Computation, 2007

2006

An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering.

Yun Yang, Ke Chen

Proceedings of the International Joint Conference on Neural Networks, 2006