Yun Yang - RankMe

133 papers A* 2A 4B 8C 19Journal 73Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Directional mask-aware diffusion for coherent object-background editing. Inf. Sci. Xiangrui Chen, Qi Si, Bo Wang, Zhao Zhang, Xianming Ye, Yun Yang, Haijun Zhang, Meng Wang
2026	J	`jnl`	FC-AEN: Fully Convolutional Adaptive Ensemble Network for Automatic Depression Detection. IEEE Trans. Comput. Soc. Syst. Yaowei Wang, Zulong Lin, Yan Teng, Yuqi Cheng, Hongyan Jiang, Yun Yang
2026	J	`jnl`	Multi-scale spatial diffusion under frequency information-guidance For low-light image enhancement. Neural Networks Jinhan Guan, Bo Wang, Zhao Zhang, Yang Zhao, Haijun Zhang, Yun Yang, Xianming Ye, Meng Wang
2026	J	`jnl`	TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection. CoRR Xiong Zhang, Hong Peng, Changlong Fu, Xin Jin, Yun Yang, Cheng Xie
2025	J	`jnl`	A Novel Semi-Supervised Object Detection Approach via Scale Rebalancing and Global Proposal Contrast Consistency. IEEE Trans. Circuits Syst. Video Technol. Bo Liu, Chengrong Yang, Jing Guo, Yun Yang
2025	J	`jnl`	Automatic Depression Recognition With an Ensemble of Multimodal Spatio-Temporal Routing Features. IEEE Trans. Affect. Comput. Yaowei Wang, Zulong Lin, Chengrong Yang, Yujue Zhou, Yun Yang
2025	—	`conf`	Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis. BIBM Delin Ma, Menghui Zhou, Yun Yang, Po Yang, Jun Qi
2025	J	`jnl`	Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis. CoRR Delin Ma, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	EHAPZero: Ensemble Hierarchical Attribute Prompting-Based Zero-Shot Learning for Pest Recognition. IEEE Internet Things J. Chengrong Yang, Qiwen Jin, Yaowei Wang, Yujue Zhou, Dapeng Lan, Yun Yang
2025	—	`conf`	HapRepair: Learn to Repair OpenHarmony Apps. SIGSOFT FSE Companion Zhihao Lin, Mingyi Zhou, Wei Ma, Chi Chen, Yun Yang, Jun Wang, Chunming Hu, Li Li
2025	J	`jnl`	How Large AI Model Empowers Time-Series Forecasting for the Operation and Maintenance of Industrial Automation System? IEEE Trans. Ind. Informatics Le Zhang, Wei Cheng, Shuo Zhang, Ji Xing, Zelin Nie, Xuefeng Chen, Dapeng Lan, Yu Liu, Yun Yang, Zhibo Pang
2025	J	`jnl`	Intelligent Inspection of Electronic Devices in Specific Environments via a Novel Cascade Network of Combining Mixed Sampling and Nonstrided Convolution. IEEE Trans. Syst. Man Cybern. Syst. Bo Liu, Jing Guo, Yaowei Wang, Chengrong Yang, Fengtao Nan, Yun Yang
2025	J	`jnl`	Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. Eng. Appl. Artif. Intell. Zhaodong Chen, Mingxia Wang, Fengtao Nan, Yun Yang, Shunbao Li, Menghui Zhou, Jun Qi, Hanwen Wang, Po Yang
2025	J	`jnl`	MLM-EOE: Automatic Depression Detection via Sentimental Annotation and Multi-Expert Ensemble. IEEE Trans. Affect. Comput. Zulong Lin, Yaowei Wang, Yujue Zhou, Fei Du, Yun Yang
2025	—	`conf`	Multi-Scale Frequency-Aware Adversarial Network for Parkinson's Disease Assessment Using Wearable Sensors. BIBM Weiming Zhao, Xiyang Peng, Xulong Wang, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks. IEEE Trans. Biomed. Eng. Xiyang Peng, Yuting Zhao, Ziheng Li, Xulong Wang, Fengtao Nan, Zhong Zhao, Yun Yang, Po Yang
2025	—	`conf`	Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression. BIBM Zixiang Xu, Menghui Zhou, Xuanhan Fan, Yun Yang, Po Yang, Jun Qi
2025	J	`jnl`	Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression. CoRR Zixiang Xu, Menghui Zhou, Jun Qi, Xuanhan Fan, Yun Yang, Po Yang
2025	J	`jnl`	Multi-scale Frequency-Aware Adversarial Network for Parkinson's Disease Assessment Using Wearable Sensors. CoRR Weiming Zhao, Xulong Wang, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. Inf. Syst. Frontiers Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Lida Xu
2025	—	`conf`	Multivariate Time-Series Fusion for Parkinson's Disease Severity Classification. BIBM Xiyang Peng, Yun Yang, Po Yang
2025	C	`conf`	RH-GNN: Regional Heterogeneity Enabled GNN for Agricultural Fertilization Prediction. INDIN Jiaqi Qian, Yu Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Po Yang
2025	J	`jnl`	SIMMA: Multimodal Automatic Depression Detection via Spatiotemporal Ensemble and Cross-Modal Alignment. IEEE Trans. Comput. Soc. Syst. Yaowei Wang, Zulong Lin, Yan Teng, Yuqi Cheng, Hongyan Jiang, Yun Yang
2025	C	`conf`	Self-Supervised Anomaly Detection for Parkinson's Disease in Free-Living Environment. INDIN Chuxiong Huang, Xulong Wang, Xiyang Peng, Peng Yue, Jun Qi, Yun Yang, Po Yang
2024	J	`jnl`	A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. Yan Kang, Bin Pu, Yongqi Kou, Yun Yang, Jianguo Chen, Khan Muhammad, Po Yang, Lida Xu, Mohammad Hijji
2024	J	`jnl`	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. Yan Kang, Luhan Peng, Jing Guo, Yuhuan Lu, Yun Yang, Baochen Fan, Bin Pu
2024	J	`jnl`	A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease. IEEE Trans. Comput. Biol. Bioinform. Fengtao Nan, Shunbao Li, Jiayu Wang, Yahui Tang, Jun Qi, Menghui Zhou, Zhong Zhao, Yun Yang, Po Yang
2024	J	`jnl`	A holistic multi-source transfer learning approach using wearable sensors for personalized daily activity recognition. Complex Intell. Syst. Qi Jia, Jing Guo, Po Yang, Yun Yang
2024	B	`conf`	A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. IJCNN Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. BIBM Zheyuan Xu, Xulong Wang, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. BIBM Xuanhan Fan, Menghui Zhou, Yu Zhang, Jun Qi, Yun Yang, Po Yang
2024	—	`conf`	Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. ICIC (LNBI 1) Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang
2024	—	`conf`	An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors. ICIC (LNBI 1) Mingchang Xu, Xiyang Peng, Po Yang, Jun Qi, Yun Yang
2024	—	`conf`	Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence. ISIE Dongxiao Hu, Dapeng Lan, Yu Liu, Jiahong Ning, Jia Wang, Yun Yang, Zhibo Pang
2024	J	`jnl`	Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang
2024	J	`jnl`	HICL: Hierarchical Intent Contrastive Learning for sequential recommendation. Expert Syst. Appl. Yan Kang, Yancong Yuan, Bin Pu, Yun Yang, Lei Zhao, Jing Guo
2024	J	`jnl`	Human Body Impact and Error Correction for Indoor UWB Ranging. IEEE Trans. Consumer Electron. Xueping Li, Yue Gao, Yuan Yang, Wei Xiang, Xiaolin Jiang, Yun Yang, Xiaoling Zhang
2024	J	`jnl`	Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang
2024	J	`jnl`	Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang
2024	—	`conf`	Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. BIBM Mingchang Xu, Jun Qi, Xulong Wang, Menghui Zhou, Yun Yang, Po Yang
2024	—	`conf`	Medical Signals Augmentation for Parkinson's Disease Diagnosis in Low-Resource Settings Across Time, Activity and Patients. BIBM Xiyang Peng, Zheyuan Xu, Yun Yang, Po Yang
2024	A	`conf`	Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation. ICME Pei Wang, Yun Yang, Zhenyu Yu
2023	B	`conf`	A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy. TrustCom Shifeng Li, Ruoling Peng, Po Yang, Yun Yang
2023	—	`conf`	A Multi-Frame Rate Network with Attention Mechanism for Depression Severity Estimation. BIBM Ruibin Wang, Jing Guo, Jiashun Wang, Lang He, Yun Yang
2023	—	`conf`	A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. MSN Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang
2023	J	`jnl`	A novel feature relearning method for automatic sleep staging based on single-channel EEG. Complex Intell. Syst. Yujie Tao, Yun Yang, Po Yang, Fengtao Nan, Yan Zhang, Yulong Rao, Fei Du
2023	B	`conf`	Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. ICPADS Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang
2023	—	`conf`	Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. ISIE Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang
2023	J	`jnl`	Efficient Perturbation Inference and Expandable Network for continual learning. Neural Networks Fei Du, Yun Yang, Ziyuan Zhao, Zeng Zeng
2023	J	`jnl`	Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2023	A*	`conf`	Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions. CVPR Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang
2023	J	`jnl`	Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions. CoRR Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang
2023	J	`jnl`	Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation. IEEE Trans. Multim. Pei Wang, Yun Yang, Yuelong Xia, Kun Wang, Xingyi Zhang, Song Wang
2023	A	`conf`	IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. CIKM Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang
2023	B	`conf`	Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. ICPADS Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang
2023	J	`jnl`	Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang
2023	A*	`conf`	Robust Temporal Smoothness in Multi-Task Learning. AAAI Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang
2022	—	`conf`	A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images. BIBM Qi Jia, Jing Guo, Fei Du, Peng Yang, Yun Yang
2022	—	`conf`	Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. MSN Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang
2022	—	`conf`	Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. MSN Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang
2022	C	`conf`	Material Calculation Collaborates with Grain Morphology Knowledge Graph for Material Properties Prediction. CSCWD Ziwen Pan, Chao Shu, Zhuoran Xin, Cheng Xie, Qi Shen, Yun Yang
2022	J	`jnl`	Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation. Neural Networks Yun Yang, Yulong Rao, Minghao Yu, Yan Kang
2022	A	`conf`	Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2022	J	`jnl`	Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification. IEEE Trans. Cybern. Yun Yang, Yuanyuan Hu, Xingyi Zhang, Song Wang
2021	J	`jnl`	A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks. IEEE/ACM Trans. Netw. Fan Cheng, Congtao Wang, Xingyi Zhang, Yun Yang
2021	J	`jnl`	A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. Mob. Networks Appl. Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang
2021	J	`jnl`	A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view. Future Gener. Comput. Syst. Fengtao Nan, Yahui Tang, Po Yang, Zhenli He, Yun Yang
2021	J	`jnl`	A novel word similarity measure method for IoT-enabled Healthcare applications. Future Gener. Comput. Syst. Dehai Zhang, Xiaoqiang Xia, Yun Yang, Po Yang, Cheng Xie, Menglong Cui, Qing Liu
2021	J	`jnl`	A weighted multi-feature transfer learning framework for intelligent medical decision making. Appl. Soft Comput. Yun Yang, Jing Guo, Qiongwei Ye, Yuelong Xia, Po Yang, Amin Ullah, Khan Muhammad
2021	—	`conf`	Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA. MSN Liu Tao, Xiang Wang, Xiyang Peng, Po Yang, Jun Qi, Yun Yang
2021	J	`jnl`	Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification. CoRR Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu
2021	J	`jnl`	Class knowledge overlay to visual feature learning for zero-shot image classification. Comput. Vis. Image Underst. Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu
2021	J	`jnl`	Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. CoRR Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
2021	J	`jnl`	Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. Neural Networks Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
2021	J	`jnl`	Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data. J. Ind. Inf. Integr. Yun Yang, Fengtao Nan, Po Yang
2021	B	`conf`	Generalization Self-distillation with Epoch-wise Regularization. IJCNN Yuelong Xia, Yun Yang
2021	—	`conf`	Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang
2021	A	`conf`	Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. ICME Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
2021	J	`jnl`	Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. CoRR Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
2021	J	`jnl`	Multi-label classification with weighted classifier selection and stacked ensemble. Inf. Sci. Yuelong Xia, Ke Chen, Yun Yang
2021	J	`jnl`	Multilayer Internet-of-Things Middleware Based on Knowledge Graph. IEEE Internet Things J. Cheng Xie, Beibei Yu, Zuoying Zeng, Yun Yang, Qing Liu
2021	J	`jnl`	MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction. Artif. Intell. Medicine Jin Li, Tao Liu, Jingru Wang, Qing Li, Chenxi Ning, Yun Yang
2021	J	`jnl`	Reservoir hosts prediction for COVID-19 by hybrid transfer learning model. J. Biomed. Informatics Yun Yang, Jing Guo, Pei Wang, Yaowei Wang, Minghao Yu, Xiang Wang, Po Yang, Liang Sun
2021	—	`conf`	Unsupervised Ensemble Learning and Its Application to Temporal Data Mining: Keynote Address. BCD Yun Yang
2021	C	`conf`	Zero-Shot Learning Based on Knowledge Sharing. CSCWD Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu
2021	J	`jnl`	Zero-Shot Learning Based on Knowledge Sharing. CoRR Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu
2020	B	`conf`	A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. IJCNN Hongxin Xiang, Ting Zeng, Yun Yang
2020	J	`jnl`	A dimension-reduction based multilayer perception method for supporting the medical decision making. Pattern Recognit. Lett. Shin-Jye Lee, Ching-Hsun Tseng, G. T.-R. Lin, Yun Yang, Po Yang, Khan Muhammad, Hari Mohan Pandey
2020	J	`jnl`	An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. Inf. Fusion Jun Qi, Po Yang, Lee Newcombe, Xiyang Peng, Yun Yang, Zhong Zhao
2020	J	`jnl`	DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Trans. Ind. Informatics Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang
2020	—	`conf`	Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. ISPA/BDCloud/SocialCom/SustainCom Xiyang Peng, Xiang Wang, Jun Qi, Yun Yang, Jie Li, Po Yang
2020	C	`conf`	HNSleepNet: A Novel Hybrid Neural Network for Home Health-Care Automatic Sleep Staging with Raw Single-Channel EEG. INDIN Weiwei Chen, Yun Yang, Po Yang
2020	C	`conf`	Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble. INDIN Qingnan Li, Yun Yang, Po Yang
2020	C	`conf`	Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis. INDIN Jiwei Xu, Yun Yang, Po Yang
2020	—	`conf`	Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management. ISPA/BDCloud/SocialCom/SustainCom Zhen Pang, Shuhao Zhang, Yun Yang, Jun Qi, Po Yang
2020	J	`jnl`	MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. CoRR Po Yang, Jun Qi, Xulong Wang, Yun Yang
2020	C	`conf`	Multi-View Facial Expression Recognition based o n Multitask Learning and Generative Adversarial Network. INDIN Jiajun Fan, Shipu Wang, Po Yang, Yun Yang
2020	C	`conf`	Traffic sign classification via Semi-Supervised model with uncertain labels. INDIN Luhui Yang, Qing Liu, Yun Yang, Po Yang
2020	—	`conf`	Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. ISPA/BDCloud/SocialCom/SustainCom Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang
2019	J	`jnl`	A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. IEEE Access Yun Yang, Lijuan Cao, Qing Liu, Po Yang
2019	C	`conf`	A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN Xulong Wang, Jun Qi, Yun Yang, Po Yang
2019	J	`jnl`	Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles. IEEE Trans. Cybern. Yun Yang, Jianmin Jiang
2019	C	`conf`	An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. ICIS Lijuan Cao, Qing Liu, Yun Yang
2019	J	`jnl`	CASS: Criticality-Aware Standby-Sparing for real-time systems. J. Syst. Archit. Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, Zhishan Guo
2019	J	`jnl`	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. Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv
2019	C	`conf`	Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks. INDIN Wenzhao Shao, Po Yang, Yun Yang
2019	—	`conf`	Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. EMBC Jun Qi, Yun Yang, Xiyang Peng, Lee Newcombe, Andrew Simpson, Po Yang
2019	J	`jnl`	GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform. IEEE Access Yun Yang, Fengtao Nan, Po Yang, Qiang Meng, Yingfu Xie, Dehai Zhang, Khan Muhammad
2019	J	`jnl`	Knowledge Graph-Based Image Classification Refinement. IEEE Access Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen
2019	C	`conf`	Multi-source Ensemble Transfer Approach for Medical Text Auxiliary Diagnosis. BIBE Xinfa Li, Yun Yang, Po Yang
2018	J	`jnl`	A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making. J. Biomed. Informatics Shin-Jye Lee, Zhaozhao Xu, Tong Li, Yun Yang
2018	J	`jnl`	A novel parallel distance metric-based approach for diversified ranking on large graphs. Future Gener. Comput. Syst. Jin Li, Yun Yang, Xiaoling Wang, Zhiming Zhao, Tong Li
2018	J	`jnl`	Bi-weighted ensemble via HMM-based approaches for temporal data clustering. Pattern Recognit. Yun Yang, Jianmin Jiang
2018	J	`jnl`	Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. Complex. Yun Yang, Xiaofang Liu, Qiongwei Ye, Dapeng Tao
2018	J	`jnl`	Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. J. Biomed. Informatics Jun Qi, Po Yang, Atif Waraich, Zhikun Deng, Youbing Zhao, Yun Yang
2018	C	`conf`	Improvement of TF-IDF Algorithm Based on Knowledge Graph. SERA Yanpeng Wang, Dehai Zhang, Ye Yuan, Qing Liu, Yun Yang
2018	C	`conf`	Least-Squares Support Vector Machine for Semi-Supervised Multi-Tasking. SERA Xuekuo Jia, Shipu Wang, Yun Yang
2018	J	`jnl`	Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment. IEEE Access Cheng Xie, Po Yang, Yun Yang
2018	C	`conf`	Transfer Learning with Ensemble of Multiple Feature Representations. SERA Hang Zhao, Qing Liu, Yun Yang
2018	J	`jnl`	User Profiling in Elderly Healthcare Services in China: Scalper Detection. IEEE J. Biomed. Health Informatics Cheng Xie, Hongming Cai, Yun Yang, Lihong Jiang, Po Yang
2017	J	`jnl`	An adaptive semi-supervised clustering approach via multiple density-based information. Neurocomputing Yun Yang, Zongze Li, Wei Wang, Dapeng Tao
2017	C	`conf`	Fuzzy ontology induction in the cognitive model of ontology learning. ICIS Dehai Zhang, Naiyao Wang, Ye Yuan, Bin Wang, Yun Yang
2017	C	`conf`	K-means based on active learning for support vector machine. ICIS Jie Gan, Ang Li, Qian-Lin Lei, Hao Ren, Yun Yang
2017	C	`conf`	Semi-supervised distance metric learning for person re-identification. ICIS Feng Chen, Jinhong Chai, Dinghu Ren, Xiaofang Liu, Yun Yang
2016	J	`jnl`	Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions. IEEE Trans. Neural Networks Learn. Syst. Yun Yang, Jianmin Jiang
2015	J	`jnl`	A robust semi-supervised learning approach via mixture of label information. Pattern Recognit. Lett. Yun Yang, Xingchen Liu
2014	J	`jnl`	HMM-based hybrid meta-clustering ensemble for temporal data. Knowl. Based Syst. Yun Yang, Jianmin Jiang
2011	J	`jnl`	Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. IEEE Trans. Knowl. Data Eng. Yun Yang, Ke Chen
2011	J	`jnl`	Time Series Clustering Via RPCL Network Ensemble With Different Representations. IEEE Trans. Syst. Man Cybern. Part C Yun Yang, Ke Chen
2011	—	`—`	Unsupervised ensemble learning and its application to temporal data clustering. Yun Yang
2010	B	`conf`	Unsupervised learning via iteratively constructed clustering ensemble. IJCNN Yun Yang, Ke Chen
2007	—	`ch.`	Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering. Trends in Neural Computation Yun Yang, Ke Chen
2006	B	`conf`	An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN Yun Yang, Ke Chen