A Survey of Physical Activity Monitoring and Assessment Using Internet of Things Technology. - Jun Qi 001; Po Yang 001; Dina Fan; Zhikun Deng (CIT/IUCC/DASC/PICom, 2015)

Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment. - Po Yang 001; Martin Hanneghan; Jun Qi 001; Zhikun Deng; Feng Dong 005; Dina Fan (CIT/IUCC/DASC/PICom, 2015)

Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment. - Jun Qi 001; Po Yang 001; Martin Hanneghan; Dina Fan; Zhikun Deng; Feng Dong 005 (IET Networks, 2016)

Uncertainty Investigation for Personalised Lifelogging Physical Activity Intensity Pattern Assessment with Mobile Devices. - Jun Qi 001; Po Yang 001; Martin Hanneghan; Kieran Latham; Stephen Tang 001 (iThings/GreenCom/CPSCom/SmartData, 2017)

Effective geometric restoration of distorted historical document for large-scale digitisation. - Po Yang 001; Apostolos Antonacopoulos; Christian Clausner; Stefan Pletschacher; Jun Qi 001 (IET Image Process., 2017)

Multiple density maps information fusion for effectively assessing intensity pattern of lifelogging physical activity. - Jun Qi 001; Po Yang 001; Martin Hanneghan; Stephen Tang 001 (Neurocomputing, 2017)

Advanced internet of things for personalised healthcare systems: A survey. - Jun Qi 001; Po Yang 001; Geyong Min; Oliver Amft; Feng Dong 005; Lida Xu (Pervasive Mob. Comput., 2017)

Experimental Analysis of Cost-Effective Mobile Sensing Technologies for Activity Analytics in Elderly Care. - Lee Newcombe; Po Yang 001; Chris Carter 001; Martin Hanneghan; Jun Qi 001 (HPCC/SmartCity/DSS, 2018)

Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. - Jun Qi 001; Po Yang 001; Atif Waraich; Zhikun Deng; Youbing Zhao; Yun Yang 003 (J. Biomed. Informatics, 2018)

Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes. - Xiangzeng Kong; Nan Li 017; Ling Lin; Pan Xiong; Jun Qi 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

A 3-D Security Modeling Platform for Social IoT Environments. - Bo Zhou 001; Curtis L. Maines; Stephen Tang 001; Qi Shi 001; Po Yang 001; Qiang Yang 004; Jun Qi 001 (IEEE Trans. Comput. Soc. Syst., 2018)

Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. - Jun Qi 001; Yun Yang 003; Xiyang Peng; Lee Newcombe; Andrew Simpson 001; Po Yang 001 (EMBC, 2019)

A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. - Xulong Wang 001; Jun Qi 001; Yun Yang 003; Po Yang 001 (INDIN, 2019)

Multiobjective feature selection for microarray data via distributed parallel algorithms. - Bin Cao 005; Jianwei Zhao 001; Po Yang 001; Peng Yang 015; Xin Liu 055; Jun Qi 001; Andrew Simpson 001; Mohamed Elhoseny; Irfan Mehmood; Khan Muhammad 001 (Future Gener. Comput. Syst., 2019)

A Hybrid Hierarchical Framework for Gym Physical Activity Recognition and Measurement Using Wearable Sensors. - Jun Qi 001; Po Yang 001; Martin Hanneghan; Stephen Tang 001; Bo Zhou 001 (IEEE Internet Things J., 2019)

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data. - Po Yang 001; Jing Liu; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Zhihan Lv (ACM Trans. Intell. Syst. Technol., 2019)

Physical activity recognition and monitoring for healthcare in Internet of Things environment. - Jun Qi 001 (2019)

Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management. - Zhen Pang; Shuhao Zhang 007; Yun Yang 003; Jun Qi 001; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. - Xiyang Peng; Xiang Wang; Jun Qi 001; Yun Yang 003; Jie Li; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments. - Jun Qi 001; Hai-Ning Liang; Jianjun Chen; Xiyang Peng; Lee Newcombe; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. - Xulong Wang 001; Gaoshan Bi; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 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 001; Jun Qi 001; Xulong Wang 001; Yun Yang 003 (CoRR, 2020)

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. - Jun Qi 001; Po Yang 001; Lee Newcombe; Xiyang Peng; Yun Yang 003; Zhong Zhao (Inf. Fusion, 2020)

DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. - Po Yang 001; Geng Yang; Jing Liu; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Tian Wang 001 (IEEE Trans. Ind. Informatics, 2020)

Automatic classification of EEG signals via deep learning. - Tao Wu; Xiangzeng Kong; Yiwen Wang; Xue Yang; Jingxuan Liu; Jun Qi 001 (INDIN, 2021)

Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA. - Liu Tao; Xiang Wang; Xiyang Peng; Po Yang 001; Jun Qi 001; Yun Yang 003 (MSN, 2021)

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. - Menghui Zhou; Xulong Wang 001; Yun Yang 003; Fengtao Nan; Yu Zhang 128; Jun Qi 001; Po Yang 001 (MSN, 2021)

A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. - Zhen Pang; Xiang Wang; Xulong Wang 001; Jun Qi 001; Zhong Zhao; Yuan Gao; Yun Yang 003; Po Yang 001 (Mob. Networks Appl., 2021)

Machine Learning-based Gesture Recognition Using Wearable Devices. - Haoyu Wu 001; Jun Qi 001; Wei Wang 042; Jianjun Chen (CyberC, 2022)

Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients. - Peng Yue; Xiang Wang; Yu Yang; Jun Qi 001; Po Yang 001 (PervasiveHealth, 2022)

Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. - Jiajia Li 004; Jie Chen; Bin Sheng 001; Ping Li 016; Po Yang 001; David Dagan Feng; Jun Qi 001 (IEEE Trans. Ind. Informatics, 2022)

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. - Xulong Wang 001; Yu Zhang 128; Menghui Zhou; Tong Liu 014; Jun Qi 001; Po Yang 001 (BIBM, 2023)

Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. - Xulong Wang 001; Menghui Zhou; Yu Zhang 128; Kang Liu; Jun Qi 001; Po Yang 001 (BIBM, 2023)

IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. - Jun Qi 001; Hongqing Yu; Po Yang 001; Yun Yang 003; Zhibo Pang (CIKM, 2023)

Machine Learning-based EEG Signal Classification of Parkinson's Disease. - Haoyu Wu 001; Jun Qi 001; Yong Yue 001 (CSCloud/EdgeCom, 2023)

EEG-based Anxiety Detection with Feature Selection. - Jeongyeong Park; Nanlin Jin; Jianjun Chen; Jun Qi 001 (CyberC, 2023)

Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. - Ziheng Li; Yuting Zhao; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Po Yang 001 (ICPADS, 2023)

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. - Zheyuan Xu; Fengtao Nan; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Po Yang 001 (ICPADS, 2023)

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. - Liu Tao; Xulong Wang 001; Fengtao Nan; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISIE, 2023)

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. - Shuhao Zhang 007; Gaoshan Bi; Jun Qi 001; Yun Yang 003; Xiangzeng Kong; Fengtao Nan; Menghui Zhou; Po Yang 001 (IEEE Internet Things J., 2023)

Predicting and Visualizing Covid-19 Identification by a Hybrid Machine Learning and Pre-trained Model. - Ruilin Cai; Weimei Li; Han Lu; Jiangang Chen; Dongdong Zou; Xin Chen; Yongchao Pan; Liang Feng; Jun Qi 001 (BIBM, 2024)

Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. - Xuanhan Fan; Menghui Zhou; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

EEG-based Epilepsy Detection Using Robust Feature Learning Model with Manhattan Distance and L1 Regularization. - Weihai Huang; Weize Yang; Zhicong Luo; Jun Qi 001; Qiyan Sun; Xiangzeng Kong (BIBM, 2024)

Multi-Instance Learning for Parkinson's Tremor Level Detection with Learnable Discriminative Pool. - Haoyu Wu 001; Yifan Guan 001; Alexei Lisitsa 001; Xiaohui Zhu; Po Yang 001; Jun Qi 001 (BIBM, 2024)

Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. - Mingchang Xu; Jun Qi 001; Xulong Wang 001; Menghui Zhou; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. - Zheyuan Xu; Xulong Wang 001; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals. - Lin Shi; Zexin Wang; Yuanwei Ma; Jianjun Chen; Jingzhou Xu; Jun Qi 001 (ICIC (LNBI 2), 2024)

Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. - Mingxia Wang; Yun Yang 003; Jun Qi 001; Fengtao Nan; Shunbao Li; Po Yang 001 (ICIC (LNBI 1), 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 001; Jun Qi 001; Yun Yang 003 (ICIC (LNBI 1), 2024)

A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. - Xuanhan Fan; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (IJCNN, 2024)

A Data-Driven Truck Dispatching Algorithm for a Sequence-Constrained Less-Than-Truckload Container Transshipment Problem. - Jiahui Gong; Jianjun Chen; Jun Qi 001; Haiyang Zhang 004 (INDIN, 2024)

GANs-based Signal Quality Assessment for Heart Rate Estimation with Ballistocardiograph. - Ruilin Cai; Jun Qi 001; Jiayi Li; Jianjun Chen; Wei Wang 042; Haiyang Zhang 004 (ISPA, 2024)

Sound-based Bee Colony State Analysis Using Compact MFCC Patterns. - Weihai Huang; Weize Yang; Zhicong Luo; Jun Qi 001; Tingting Zhang; Xiangzeng Kong (ISPA, 2024)

ST-GCN: A Spatiotemporal Graph Convolution Neural Network for EEG Motor Imagery Signal Decoding. - Jingzhou Xu; Jun Qi 001; Junqing Zhang; Yong Yue 001; Tingting Zhang; Jianjun Chen (ISPA, 2024)

Toward Multi-Agent Coordination in IoT via Prompt Pool-based Continual Reinforcement Learning. - Chenhang Xu; Jia Wang; Xiaohui Zhu; Yong Yue 001; Jun Qi 001; Jieming Ma (ISPA, 2024)

Soccer match broadcast video analysis method based on detection and tracking. - Hongyu Li; Meng Yang 011; Chao Yang; Jianglang Kang; Xiang Suo; Weiliang Meng; Zhen Li; Lijuan Mao; Bin Sheng 001; Jun Qi 001 (Comput. Animat. Virtual Worlds, 2024)

Multi-Scale Feature and Multi-Channel Selection toward Parkinson's Disease Diagnosis with EEG. - Haoyu Wu 001; Jun Qi 001; Erick Purwanto; Xiaohui Zhu; Po Yang 001; Jianjun Chen (Sensors, 2024)

Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. - Zhaodong Chen; Mingxia Wang; Fengtao Nan; Yun Yang 003; Shunbao Li; Menghui Zhou; Jun Qi 001; Hanwen Wang; Po Yang 001 (Eng. Appl. Artif. Intell., 2025)

Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. - Po Yang 001; Gaoshan Bi; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Lida Xu (Inf. Syst. Frontiers, 2025)