Yun Yang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 80

Top Venues

University of Manchester, UK (PHD)

Education History

University of Manchester, UK

PHD

Publications

Yan Kang, Luhan Peng, Jing Guo, Yuhuan Lu, Yun Yang, Baochen Fan, Bin Pu
A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data. IEEE Trans. Consumer Electron. 70 (1) (2024)
Xueping Li, Yue Gao, Yuan Yang, Wei Xiang, Xiaolin Jiang, Yun Yang, Xiaoling Zhang
Human Body Impact and Error Correction for Indoor UWB Ranging. IEEE Trans. Consumer Electron. 70 (1) (2024)
Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang
Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. ICIC (LNBI 1) (2024)
Mingchang Xu, Xiyang Peng, Po Yang, Jun Qi, Yun Yang
An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors. ICIC (LNBI 1) (2024)
Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5 (6) (2024)
Yan Kang, Yancong Yuan, Bin Pu, Yun Yang, Lei Zhao, Jing Guo
HICL: Hierarchical Intent Contrastive Learning for sequential recommendation. Expert Syst. Appl. 251 (2024)
Yan Kang, Bin Pu, Yongqi Kou, Yun Yang, Jianguo Chen, Khan Muhammad, Po Yang, Lida Xu, Mohammad Hijji
A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. 10 (8, April 15) (2023)
Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang
Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. ICPADS (2023)
Pei Wang, Yun Yang, Yuelong Xia, Kun Wang, Xingyi Zhang, Song Wang
Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25 (2023)
Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang
Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. ICPADS (2023)
Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. 35 (22) (2023)
Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang
Robust Temporal Smoothness in Multi-Task Learning. AAAI (2023)
Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions. CoRR (2023)
Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang
Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. ISIE (2023)
Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions. CVPR (2023)
Fei Du, Yun Yang, Ziyuan Zhao, Zeng Zeng
Efficient Perturbation Inference and Expandable Network for continual learning. Neural Networks 159 (2023)
Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang
Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. MSN (2022)
Yun Yang, Yuanyuan Hu, Xingyi Zhang, Song Wang
Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification. IEEE Trans. Cybern. 52 (9) (2022)
Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang
Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. MSN (2022)
Yun Yang, Yulong Rao, Minghao Yu, Yan Kang
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation. Neural Networks 146 (2022)
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. Neural Networks 139 (2021)
Yuelong Xia, Ke Chen, Yun Yang
Multi-label classification with weighted classifier selection and stacked ensemble. Inf. Sci. 557 (2021)
Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. ICME (2021)
Yun Yang, Fengtao Nan, Po Yang
Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data. J. Ind. Inf. Integr. 24 (2021)
Yun Yang, Jing Guo, Qiongwei Ye, Yuelong Xia, Po Yang, Amin Ullah, Khan Muhammad
A weighted multi-feature transfer learning framework for intelligent medical decision making. Appl. Soft Comput. 105 (2021)
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. CoRR (2021)
Fengtao Nan, Yahui Tang, Po Yang, Zhenli He, Yun Yang
A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view. Future Gener. Comput. Syst. 125 (2021)
Fan Cheng, Congtao Wang, Xingyi Zhang, Yun Yang
A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks. IEEE/ACM Trans. Netw. 29 (2) (2021)
Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu
Class knowledge overlay to visual feature learning for zero-shot image classification. Comput. Vis. Image Underst. 207 (2021)
Dehai Zhang, Xiaoqiang Xia, Yun Yang, Po Yang, Cheng Xie, Menglong Cui, Qing Liu
A novel word similarity measure method for IoT-enabled Healthcare applications. Future Gener. Comput. Syst. 114 (2021)
Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. Mob. Networks Appl. 26 (6) (2021)
Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN (2021)
Cheng Xie, Beibei Yu, Zuoying Zeng, Yun Yang, Qing Liu
Multilayer Internet-of-Things Middleware Based on Knowledge Graph. IEEE Internet Things J. 8 (4) (2021)
Liu Tao, Xiang Wang, Xiyang Peng, Po Yang, Jun Qi, Yun Yang
Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA. MSN (2021)
Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification. CoRR (2021)
Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu
Zero-Shot Learning Based on Knowledge Sharing. CSCWD (2021)
Yun Yang, Jing Guo, Pei Wang, Yaowei Wang, Minghao Yu, Xiang Wang, Po Yang, Liang Sun
Reservoir hosts prediction for COVID-19 by hybrid transfer learning model. J. Biomed. Informatics 117 (2021)
Yuelong Xia, Yun Yang
Generalization Self-distillation with Epoch-wise Regularization. IJCNN (2021)
Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. CoRR (2021)
Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu
Zero-Shot Learning Based on Knowledge Sharing. CoRR (2021)
Hongxin Xiang, Ting Zeng, Yun Yang
A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. IJCNN (2020)
Shin-Jye Lee, Ching-Hsun Tseng, G. T.-R. Lin, Yun Yang, Po Yang, Khan Muhammad, Hari Mohan Pandey
A dimension-reduction based multilayer perception method for supporting the medical decision making. Pattern Recognit. Lett. 131 (2020)
Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang
Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. ISPA/BDCloud/SocialCom/SustainCom (2020)
Jiwei Xu, Yun Yang, Po Yang
Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis. INDIN (2020)
Xiyang Peng, Xiang Wang, Jun Qi, Yun Yang, Jie Li, Po Yang
Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. ISPA/BDCloud/SocialCom/SustainCom (2020)
QingNan Li, Yun Yang, Po Yang
Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble. INDIN (2020)
Po Yang, Jun Qi, Xulong Wang, Yun Yang
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)
Jiajun Fan, Shipu Wang, Po Yang, Yun Yang
Multi-View Facial Expression Recognition based o n Multitask Learning and Generative Adversarial Network. INDIN (2020)
Zhen Pang, Shuhao Zhang, Yun Yang, Jun Qi, Po Yang
Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management. ISPA/BDCloud/SocialCom/SustainCom (2020)
Weiwei Chen, Yun Yang, Po Yang
HNSleepNet: A Novel Hybrid Neural Network for Home Health-Care Automatic Sleep Staging with Raw Single-Channel EEG. INDIN (2020)
Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Trans. Ind. Informatics 16 (8) (2020)
Luhui Yang, Qing Liu, Yun Yang, Po Yang
Traffic sign classification via Semi-Supervised model with uncertain labels. INDIN (2020)
Jun Qi, Po Yang, Lee Newcombe, Xiyang Peng, Yun Yang, Zhong Zhao
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. Inf. Fusion 55 (2020)
Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, Zhishan Guo
CASS: Criticality-Aware Standby-Sparing for real-time systems. J. Syst. Archit. 100 (2019)
Yun Yang, Lijuan Cao, Qing Liu, Po Yang
A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. IEEE Access 7 (2019)
Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen
Knowledge Graph-Based Image Classification Refinement. IEEE Access 7 (2019)
Xulong Wang, Jun Qi, Yun Yang, Po Yang
A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN (2019)
Yun Yang, Jianmin Jiang
Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles. IEEE Trans. Cybern. 49 (5) (2019)
Xinfa Li, Yun Yang, Po Yang
Multi-source Ensemble Transfer Approach for Medical Text Auxiliary Diagnosis. BIBE (2019)
Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv
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. 10 (6) (2019)
Lijuan Cao, Qing Liu, Yun Yang
An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. ICIS (2019)
Yun Yang, Fengtao Nan, Po Yang, Qiang Meng, Yingfu Xie, Dehai Zhang, Khan Muhammad
GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform. IEEE Access 7 (2019)
Wenzhao Shao, Po Yang, Yun Yang
Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks. INDIN (2019)
Jun Qi, Yun Yang, Xiyang Peng, Lee Newcombe, Andrew Simpson, Po Yang
Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. EMBC (2019)
Shin-Jye Lee, Zhaozhao Xu, Tong Li, Yun Yang
A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making. J. Biomed. Informatics 78 (2018)
Jun Qi, Po Yang, Atif Waraich, Zhikun Deng, Youbing Zhao, Yun Yang
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. J. Biomed. Informatics 87 (2018)
Xuekuo Jia, Shipu Wang, Yun Yang
Least-Squares Support Vector Machine for Semi-Supervised Multi-Tasking. SERA (2018)
Cheng Xie, Po Yang, Yun Yang
Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment. IEEE Access 6 (2018)
Yun Yang, Xiaofang Liu, Qiongwei Ye, Dapeng Tao
Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. Complex. 2018 (2018)
Hang Zhao, Qing Liu, Yun Yang
Transfer Learning with Ensemble of Multiple Feature Representations. SERA (2018)
Jin Li, Yun Yang, Xiaoling Wang, Zhiming Zhao, Tong Li
A novel parallel distance metric-based approach for diversified ranking on large graphs. Future Gener. Comput. Syst. 88 (2018)
Yanpeng Wang, Dehai Zhang, Ye Yuan, Qing Liu, Yun Yang
Improvement of TF-IDF Algorithm Based on Knowledge Graph. SERA (2018)
Cheng Xie, Hongming Cai, Yun Yang, Lihong Jiang, Po Yang
User Profiling in Elderly Healthcare Services in China: Scalper Detection. IEEE J. Biomed. Health Informatics 22 (6) (2018)
Yun Yang, Jianmin Jiang
Bi-weighted ensemble via HMM-based approaches for temporal data clustering. Pattern Recognit. 76 (2018)
Yun Yang, Zongze Li, Wei Wang, Dapeng Tao
An adaptive semi-supervised clustering approach via multiple density-based information. Neurocomputing 257 (2017)
Jie Gan, Ang Li, Qian-Lin Lei, Hao Ren, Yun Yang
K-means based on active learning for support vector machine. ICIS (2017)
Dehai Zhang, Naiyao Wang, Ye Yuan, Bin Wang, Yun Yang
Fuzzy ontology induction in the cognitive model of ontology learning. ICIS (2017)
Feng Chen, Jinhong Chai, Dinghu Ren, Xiaofang Liu, Yun Yang
Semi-supervised distance metric learning for person re-identification. ICIS (2017)
Yun Yang, Jianmin Jiang
Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions. IEEE Trans. Neural Networks Learn. Syst. 27 (5) (2016)
Yun Yang, Xingchen Liu
A robust semi-supervised learning approach via mixture of label information. Pattern Recognit. Lett. 68 (2015)
Yun Yang, Jianmin Jiang
HMM-based hybrid meta-clustering ensemble for temporal data. Knowl. Based Syst. 56 (2014)
Yun Yang, Ke Chen
Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. IEEE Trans. Knowl. Data Eng. 23 (2) (2011)
Yun Yang, Ke Chen
Time Series Clustering Via RPCL Network Ensemble With Different Representations. IEEE Trans. Syst. Man Cybern. Part C 41 (2) (2011)
Yun Yang, Ke Chen
Unsupervised learning via iteratively constructed clustering ensemble. IJCNN (2010)
Yun Yang, Ke Chen
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yun Yang