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Yun Yang 0003
Person information
- affiliation: Yunnan University, National Pilot School of Software, Kunming, China
- affiliation (2012 - 2013): University of Surrey, UK
- affiliation (PhD 2011): University of Manchester, UK
Other persons with the same name
- Yun Yang — disambiguation page
- Yun Yang 0001
— Swinburne University of Technology, Melbourne, Australia (and 2 more)
- Yun Yang 0002
- Yun Yang 0004
- Yun Yang 0005
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2020 – today
- 2024
- [j47]Yan Kang
HICL: Hierarchical Intent Contrastive Learning for sequential recommendation. Expert Syst. Appl. 251: 123886 (2024) - [j46]Xiangchao Chang
Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. 301: 112187 (2024) - [j45]Ran Cheng
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5(6): 2456-2457 (2024) - [j44]Yan Kang
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): 2447-2459 (2024) - [j43]Xueping Li
Human Body Impact and Error Correction for Indoor UWB Ranging. IEEE Trans. Consumer Electron. 70(1): 2480-2491 (2024) - [j42]Menghui Zhou
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. 36(10): 5206-5220 (2024) - [j41]Yan Kang
A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 46:1-46:20 (2024) - [c46]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: 3-14 - [c45]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: 15-26 - [c44]Pei Wang, Yun Yang, Zhenyu Yu:
Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation. ICME 2024: 1-6 - [c43]Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang:
A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. IJCNN 2024: 1-8 - [c42]Dongxiao Hu, Dapeng Lan, Yu Liu, Jiahong Ning, Jia Wang, Yun Yang, Zhibo Pang:
Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence. ISIE 2024: 1-4 - 2023
- [j40]Shuhao Zhang
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. 10(8, April 15): 6742-6755 (2023) - [j39]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): 16305-16320 (2023) - [j38]Fei Du
Efficient Perturbation Inference and Expandable Network for continual learning. Neural Networks 159: 97-106 (2023) - [j37]Pei Wang
Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25: 6026-6039 (2023) - [c41]Menghui Zhou
Robust Temporal Smoothness in Multi-Task Learning. AAAI 2023: 11426-11434 - [c40]Jun Qi
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. CIKM 2023: 5285-5288 - [c39]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: 15814-15823 - [c38]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: 900-906 - [c37]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: 936-943 - [c36]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: 1-10 - [c35]Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang:
A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. MSN 2023: 813-818 - [c34]Shifeng Li, Ruoling Peng, Po Yang, Yun Yang:
A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy. TrustCom 2023: 2607-2614 - [i6]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 abs/2305.08661 (2023) - 2022
- [j36]Yun Yang
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation. Neural Networks 146: 1-10 (2022) - [j35]Yun Yang
Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification. IEEE Trans. Cybern. 52(9): 9194-9207 (2022) - [c33]Qi Jia, Jing Guo, Fei Du, Peng Yang, Yun Yang:
A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images. BIBM 2022: 2294-2301 - [c32]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM 2022: 2743-2752 - [c31]Ziwen Pan, Chao Shu, Zhuoran Xin, Cheng Xie
Material Calculation Collaborates with Grain Morphology Knowledge Graph for Material Properties Prediction. CSCWD 2022: 227-232 - [c30]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: 687-691 - [c29]Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang:
Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. MSN 2022: 835-840 - 2021
- [j34]Jin Li, Tao Liu, Jingru Wang, Qing Li, Chenxi Ning, Yun Yang:
MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction. Artif. Intell. Medicine 118: 102115 (2021) - [j33]Yun Yang
A weighted multi-feature transfer learning framework for intelligent medical decision making. Appl. Soft Comput. 105: 107242 (2021) - [j32]Cheng Xie
Class knowledge overlay to visual feature learning for zero-shot image classification. Comput. Vis. Image Underst. 207: 103206 (2021) - [j31]Dehai Zhang, Xiaoqiang Xia, Yun Yang, Po Yang, Cheng Xie
A novel word similarity measure method for IoT-enabled Healthcare applications. Future Gener. Comput. Syst. 114: 209-218 (2021) - [j30]Fengtao Nan
A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view. Future Gener. Comput. Syst. 125: 831-843 (2021) - [j29]Cheng Xie
Multilayer Internet-of-Things Middleware Based on Knowledge Graph. IEEE Internet Things J. 8(4): 2635-2648 (2021) - [j28]Yuelong Xia, Ke Chen
Multi-label classification with weighted classifier selection and stacked ensemble. Inf. Sci. 557: 421-442 (2021) - [j27]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: 103736 (2021) - [j26]Yun Yang, Fengtao Nan
Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data. J. Ind. Inf. Integr. 24: 100234 (2021) - [j25]Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. Mob. Networks Appl. 26(6): 2341-2352 (2021) - [j24]Cheng Xie
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. Neural Networks 139: 168-178 (2021) - [j23]Fan Cheng
A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks. IEEE/ACM Trans. Netw. 29(2): 543-556 (2021) - [c28]Yun Yang:
Unsupervised Ensemble Learning and Its Application to Temporal Data Mining: Keynote Address. BCD 2021: 1 - [c27]Ting Zeng, Hongxin Xiang, Cheng Xie
Zero-Shot Learning Based on Knowledge Sharing. CSCWD 2021: 643-648 - [c26]Hongxin Xiang, Cheng Xie
Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. ICME 2021: 1-6 - [c25]Yuelong Xia, Yun Yang:
Generalization Self-distillation with Epoch-wise Regularization. IJCNN 2021: 1-8 - [c24]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: 66-73 - [c23]Menghui Zhou
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN 2021: 366-373 - [i5]Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. CoRR abs/2101.09892 (2021) - [i4]Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang:
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. CoRR abs/2102.11566 (2021) - [i3]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 abs/2102.13322 (2021) - [i2]Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu:
Zero-Shot Learning Based on Knowledge Sharing. CoRR abs/2102.13326 (2021) - 2020
- [j22]Jun Qi, Po Yang, Lee Newcombe, Xiyang Peng
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. Inf. Fusion 55: 269-280 (2020) - [j21]Shin-Jye Lee
A dimension-reduction based multilayer perception method for supporting the medical decision making. Pattern Recognit. Lett. 131: 15-22 (2020) - [j20]Po Yang
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Trans. Ind. Informatics 16(8): 5317-5326 (2020) - [c22]Hongxin Xiang, Ting Zeng, Yun Yang:
A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. IJCNN 2020: 1-8 - [c21]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: 555-560 - [c20]QingNan Li, Yun Yang, Po Yang:
Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble. INDIN 2020: 561-566 - [c19]Jiwei Xu, Yun Yang, Po Yang:
Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis. INDIN 2020: 567-572 - [c18]Jiajun Fan, Shipu Wang, Po Yang, Yun Yang:
Multi-View Facial Expression Recognition based o n Multitask Learning and Generative Adversarial Network. INDIN 2020: 573-578 - [c17]Luhui Yang, Qing Liu, Yun Yang, Po Yang:
Traffic sign classification via Semi-Supervised model with uncertain labels. INDIN 2020: 926-931 - [c16]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: 1321-1327 - [c15]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: 1328-1333 - [c14]Xiyang Peng
Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. ISPA/BDCloud/SocialCom/SustainCom 2020: 1348-1353 - [i1]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 abs/2009.02827 (2020)
2010 – 2019
- 2019
- [j19]Yun Yang
GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform. IEEE Access 7: 8048-8057 (2019) - [j18]Dehai Zhang, Menglong Cui, Yun Yang
Knowledge Graph-Based Image Classification Refinement. IEEE Access 7: 57678-57690 (2019) - [j17]Yun Yang
A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. IEEE Access 7: 83888-83899 (2019) - [j16]Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu
CASS: Criticality-Aware Standby-Sparing for real-time systems. J. Syst. Archit. 100 (2019) - [j15]Yun Yang
Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles. IEEE Trans. Cybern. 49(5): 1657-1668 (2019) - [j14]Po Yang
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): 65:1-65:24 (2019) - [c13]Lijuan Cao, Qing Liu, Yun Yang
An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. ICIS 2019: 118-123 - [c12]Xinfa Li, Yun Yang
Multi-source Ensemble Transfer Approach for Medical Text Auxiliary Diagnosis. BIBE 2019: 474-479 - [c11]Jun Qi, Yun Yang
Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. EMBC 2019: 2492-2495 - [c10]Xulong Wang, Jun Qi, Yun Yang
A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN 2019: 1237-1242 - [c9]Wenzhao Shao, Po Yang, Yun Yang
Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks. INDIN 2019: 1381-1386 - 2018
- [j13]Cheng Xie
Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment. IEEE Access 6: 15202-15211 (2018) - [j12]Yun Yang
Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. Complex. 2018: 5940181:1-5940181:12 (2018) - [j11]Jin Li
A novel parallel distance metric-based approach for diversified ranking on large graphs. Future Gener. Comput. Syst. 88: 79-91 (2018) - [j10]Shin-Jye Lee
A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making. J. Biomed. Informatics 78: 144-155 (2018) - [j9]Jun Qi, Po Yang
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. J. Biomed. Informatics 87: 138-153 (2018) - [j8]Yun Yang
Bi-weighted ensemble via HMM-based approaches for temporal data clustering. Pattern Recognit. 76: 391-403 (2018) - [j7]Cheng Xie
User Profiling in Elderly Healthcare Services in China: Scalper Detection. IEEE J. Biomed. Health Informatics 22(6): 1796-1806 (2018) - [c8]Yanpeng Wang, Dehai Zhang, Ye Yuan, Qing Liu, Yun Yang
Improvement of TF-IDF Algorithm Based on Knowledge Graph. SERA 2018: 19-24 - [c7]Hang Zhao, Qing Liu, Yun Yang
Transfer Learning with Ensemble of Multiple Feature Representations. SERA 2018: 54-61 - [c6]Xuekuo Jia, Shipu Wang, Yun Yang
Least-Squares Support Vector Machine for Semi-Supervised Multi-Tasking. SERA 2018: 79-86 - 2017
- [j6]Yun Yang
An adaptive semi-supervised clustering approach via multiple density-based information. Neurocomputing 257: 193-205 (2017) - [c5]Jie Gan, Ang Li, Qian-Lin Lei, Hao Ren, Yun Yang
K-means based on active learning for support vector machine. ICIS 2017: 727-731 - [c4]Feng Chen, Jinhong Chai, Dinghu Ren, Xiaofang Liu, Yun Yang
Semi-supervised distance metric learning for person re-identification. ICIS 2017: 733-738 - [c3]Dehai Zhang, Naiyao Wang, Ye Yuan, Bin Wang, Yun Yang
Fuzzy ontology induction in the cognitive model of ontology learning. ICIS 2017: 739-744 - 2016
- [j5]Yun Yang
Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions. IEEE Trans. Neural Networks Learn. Syst. 27(5): 952-965 (2016) - 2015
- [j4]Yun Yang
A robust semi-supervised learning approach via mixture of label information. Pattern Recognit. Lett. 68: 15-21 (2015) - 2014
- [j3]Yun Yang
HMM-based hybrid meta-clustering ensemble for temporal data. Knowl. Based Syst. 56: 299-310 (2014) - 2011
- [b1]Yun Yang:
Unsupervised ensemble learning and its application to temporal data clustering. University of Manchester, UK, 2011 - [j2]Yun Yang
Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. IEEE Trans. Knowl. Data Eng. 23(2): 307-320 (2011) - [j1]Yun Yang
Time Series Clustering Via RPCL Network Ensemble With Different Representations. IEEE Trans. Syst. Man Cybern. Part C 41(2): 190-199 (2011) - 2010
- [c2]Yun Yang
Unsupervised learning via iteratively constructed clustering ensemble. IJCNN 2010: 1-8
2000 – 2009
- 2007
- [p1]Yun Yang
Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering. Trends in Neural Computation 2007: 315-336 - 2006
- [c1]Yun Yang, Ke Chen:
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN 2006: 3120-3127
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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