Jun Qi
Orcid: 0000-0002-8761-8318Affiliations:
- Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China
- Oxford University, UK
- University of Ulster, UK
- Liverpool John Moores University, UK (PhD 2019)
- Changzhou University, Department of computer science and technology, China (former)
According to our database1,
Jun Qi
authored at least 41 papers
between 2015 and 2023.
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Bibliography
2023
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.
IEEE Internet Things J., 2023
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.
CoRR, 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
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023
Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2022
Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022
2021
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods.
Mob. Networks Appl., 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 19th IEEE International Conference on Industrial Informatics, 2021
2020
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems.
IEEE Trans. Ind. Informatics, 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
A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments.
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
2019
Physical activity recognition and monitoring for healthcare in Internet of Things environment.
PhD thesis, 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
A Hybrid Hierarchical Framework for Gym Physical Activity Recognition and Measurement Using Wearable Sensors.
IEEE Internet Things J., 2019
Multiobjective feature selection for microarray data via distributed parallel algorithms.
Future Gener. Comput. Syst., 2019
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
2018
IEEE Trans. Comput. Soc. Syst., 2018
Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review.
J. Biomed. Informatics, 2018
Experimental Analysis of Cost-Effective Mobile Sensing Technologies for Activity Analytics in Elderly Care.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
2017
Pervasive Mob. Comput., 2017
Multiple density maps information fusion for effectively assessing intensity pattern of lifelogging physical activity.
Neurocomputing, 2017
Effective geometric restoration of distorted historical document for large-scale digitisation.
IET Image Process., 2017
Uncertainty Investigation for Personalised Lifelogging Physical Activity Intensity Pattern Assessment with Mobile Devices.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017
2016
Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment.
IET Networks, 2016
2015
Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015
A Survey of Physical Activity Monitoring and Assessment Using Internet of Things Technology.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015