Yun Yang
Orcid: 0000-0002-9893-3436Affiliations:
- Yunnan University, National Pilot School of Software, Kunming, China
- University of Surrey, UK (2012 - 2013)
- University of Manchester, UK (PhD 2011)
According to our database1,
Yun Yang
authored at least 83 papers
between 2006 and 2024.
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Bibliography
2024
A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
2023
Efficient multi-task learning with adaptive temporal structure for progression prediction.
Neural Comput. Appl., August, 2023
Neural Networks, February, 2023
Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2023
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.
IEEE Internet Things J., 2023
Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.
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.
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
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.
IEEE Trans. Cybern., 2022
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.
Neural Networks, 2022
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.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Material Calculation Collaborates with Grain Morphology Knowledge Graph for Material Properties Prediction.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images.
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.
IEEE/ACM Trans. Netw., 2021
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.
Neural Networks, 2021
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods.
Mob. Networks Appl., 2021
Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data.
J. Ind. Inf. Integr., 2021
J. Biomed. Informatics, 2021
Inf. Sci., 2021
IEEE Internet Things J., 2021
Future Gener. Comput. Syst., 2021
A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view.
Future Gener. Comput. Syst., 2021
Class knowledge overlay to visual feature learning for zero-shot image classification.
Comput. Vis. Image Underst., 2021
CoRR, 2021
A weighted multi-feature transfer learning framework for intelligent medical decision making.
Appl. Soft Comput., 2021
MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.
Artif. Intell. Medicine, 2021
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.
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.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
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.
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.
IEEE Trans. Ind. Informatics, 2020
A dimension-reduction based multilayer perception method for supporting the medical decision making.
Pattern Recognit. Lett., 2020
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure.
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.
CoRR, 2020
Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression.
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.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble.
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.
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.
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.
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.
ACM Trans. Intell. Syst. Technol., 2019
Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles.
IEEE Trans. Cybern., 2019
J. Syst. Archit., 2019
GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform.
IEEE Access, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks.
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.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder.
Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019
2018
IEEE J. Biomed. Health Informatics, 2018
Pattern Recognit., 2018
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review.
J. Biomed. Informatics, 2018
A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making.
J. Biomed. Informatics, 2018
A novel parallel distance metric-based approach for diversified ranking on large graphs.
Future Gener. Comput. Syst., 2018
Ensemble Learning-Based Person Re-identification with Multiple Feature Representations.
Complex., 2018
Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment.
IEEE Access, 2018
Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018
Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018
Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018
2017
An adaptive semi-supervised clustering approach via multiple density-based information.
Neurocomputing, 2017
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
2015
Pattern Recognit. Lett., 2015
2014
Knowl. Based Syst., 2014
2011
PhD thesis, 2011
IEEE Trans. Syst. Man Cybern. Part C, 2011
Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations.
IEEE Trans. Knowl. Data Eng., 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2007
Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering.
Proceedings of the Trends in Neural Computation, 2007
2006
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2006