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Jun Qi 0001
Person information
- affiliation: Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China
- affiliation: Oxford University, UK
- affiliation: University of Ulster, UK
- affiliation (PhD 2019): Liverpool John Moores University, UK
- affiliation (former): Changzhou University, Department of computer science and technology, China
Other persons with the same name
- Jun Qi — disambiguation page
- Jun Qi 0002
— Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, USA (and 3 more)
- Jun Qi 0003
- Jun Qi 0004 — Qinghai University, Department of Computer Technology and Application, China
- Jun Qi 0005
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2020 – today
- 2024
- [j16]Hongyu Li
Soccer match broadcast video analysis method based on detection and tracking. Comput. Animat. Virtual Worlds 35(3) (2024) - [c27]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 - [c26]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 - [c25]Lin Shi, Zexin Wang
Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals. ICIC (LNBI 2) 2024: 392-404 - [c24]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 - 2023
- [j15]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) - [c23]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM 2023: 940-943 - [c22]Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang:
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM 2023: 4444-4451 - [c21]Jun Qi
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. CIKM 2023: 5285-5288 - [c20]Haoyu Wu
Machine Learning-based EEG Signal Classification of Parkinson's Disease. CSCloud/EdgeCom 2023: 423-428 - [c19]Jeongyeong Park, Nanlin Jin, Jianjun Chen, Jun Qi:
EEG-based Anxiety Detection with Feature Selection. CyberC 2023: 32-39 - [c18]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 - [c17]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 - [c16]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 - [i2]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR abs/2311.03557 (2023) - 2022
- [j14]Jiajia Li
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Trans. Ind. Informatics 18(1): 163-173 (2022) - [c15]Haoyu Wu
Machine Learning-based Gesture Recognition Using Wearable Devices. CyberC 2022: 213-221 - [c14]Peng Yue, Xiang Wang, Yu Yang, Jun Qi, Po Yang:
Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients. PervasiveHealth 2022: 229-246 - 2021
- [j13]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) - [c13]Tao Wu, Xiangzeng Kong, Yiwen Wang, Xue Yang, Jingxuan Liu, Jun Qi:
Automatic classification of EEG signals via deep learning. INDIN 2021: 1-6 - [c12]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 - [c11]Menghui Zhou
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN 2021: 366-373 - 2020
- [j12]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) - [j11]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) - [c10]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 - [c9]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 - [c8]Jun Qi, Hai-Ning Liang
A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments. ISPA/BDCloud/SocialCom/SustainCom 2020: 1342-1347 - [c7]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
- [b1]Jun Qi:
Physical activity recognition and monitoring for healthcare in Internet of Things environment. Liverpool John Moores University, UK, 2019 - [j10]Bin Cao, Jianwei Zhao
Multiobjective feature selection for microarray data via distributed parallel algorithms. Future Gener. Comput. Syst. 100: 952-981 (2019) - [j9]Jun Qi
A Hybrid Hierarchical Framework for Gym Physical Activity Recognition and Measurement Using Wearable Sensors. IEEE Internet Things J. 6(2): 1384-1393 (2019) - [j8]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) - [c6]Jun Qi, Yun Yang
Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. EMBC 2019: 2492-2495 - [c5]Xulong Wang, Jun Qi, Yun Yang
A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. INDIN 2019: 1237-1242 - 2018
- [j7]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) - [j6]Xiangzeng Kong, Nan Li
Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2966-2976 (2018) - [j5]Bo Zhou
A 3-D Security Modeling Platform for Social IoT Environments. IEEE Trans. Comput. Soc. Syst. 5(4): 1174-1188 (2018) - [c4]Lee Newcombe, Po Yang, Chris Carter, Martin Hanneghan, Jun Qi:
Experimental Analysis of Cost-Effective Mobile Sensing Technologies for Activity Analytics in Elderly Care. HPCC/SmartCity/DSS 2018: 1442-1448 - 2017
- [j4]Po Yang
Effective geometric restoration of distorted historical document for large-scale digitisation. IET Image Process. 11(10): 841-853 (2017) - [j3]Jun Qi, Po Yang
Multiple density maps information fusion for effectively assessing intensity pattern of lifelogging physical activity. Neurocomputing 220: 199-209 (2017) - [j2]Jun Qi, Po Yang
Advanced internet of things for personalised healthcare systems: A survey. Pervasive Mob. Comput. 41: 132-149 (2017) - [c3]Jun Qi, Po Yang, Martin Hanneghan, Kieran Latham
Uncertainty Investigation for Personalised Lifelogging Physical Activity Intensity Pattern Assessment with Mobile Devices. iThings/GreenCom/CPSCom/SmartData 2017: 871-876 - 2016
- [j1]Jun Qi, Po Yang
Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment. IET Networks 5(5): 107-113 (2016) - 2015
- [c2]Po Yang, Martin Hanneghan, Jun Qi, Zhikun Deng, Feng Dong, Dina Fan:
Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment. CIT/IUCC/DASC/PICom 2015: 2309-2314 - [c1]Jun Qi, Po Yang, Dina Fan, Zhikun Deng:
A Survey of Physical Activity Monitoring and Assessment Using Internet of Things Technology. CIT/IUCC/DASC/PICom 2015: 2353-2358
Coauthor Index
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last updated on 2024-12-04 20:12 CET by the dblp team
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