| An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure J Qi, P Yang, L Newcombe, X Peng, Y Yang, Z Zhao Information Fusion 55, 269-280, 2020 | 139 | 2020 |
| Selecting and Evaluating Key MDS-UPDRS Activities Using Wearable Devices for Parkinson's Disease Self-Assessment Y Zhao, X Wang, X Peng, Z Li, F Nan, M Zhou, J Qi, Y Yang, Z Zhao, L Xu, ... IEEE Journal of Selected Areas in Sensors, 2024 | 9 | 2024 |
| A method for improving the accuracy of link prediction algorithms J Li, X Peng, J Wang, N Zhao Complexity 2021 (1), 8889441, 2021 | 8 | 2021 |
| A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments J Qi, HN Liang, J Chen, X Peng, L Newcombe, P Yang 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 5 | 2020 |
| Experimental analysis of artificial neural networks performance for accessing physical activity recognition in daily life X Peng, X Wang, J Qi, Y Yang, J Li, P Yang 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 5 | 2020 |
| Experimental analysis of artificial neural networks performance for physical activity recognition using belt and wristband devices J Qi, Y Yang, X Peng, L Newcombe, A Simpson, P Yang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Activity selection to distinguish healthy people from parkinson’s disease patients using i-da L Tao, X Wang, X Peng, P Yang, J Qi, Y Yang 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 3 | 2021 |
| An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors M Xu, X Peng, P Yang, J Qi, Y Yang International Conference on Intelligent Computing, 15-26, 2024 | 1 | 2024 |
| Multi-scale and multi-level feature assessment framework for classification of parkinson’s disease state from short-term motor tasks X Peng, Y Zhao, Z Li, X Wang, F Nan, Z Zhao, Y Yang, P Yang IEEE Transactions on Biomedical Engineering, 2024 | 1 | 2024 |
| Randomized Multi-task Feature Learning Approach for Modelling and Predicting Alzheimer’s Disease Progression X Wang, Y Zhang, M Zhou, T Liu, Z Yuan, X Peng, K Liu, J Qi, P Yang International Workshop on Internet of Things of Big Data for Healthcare, 52-68, 2023 | 1 | 2023 |
| Medical Signals Augmentation for Parkinson’s Disease Diagnosis in Low-Resource Settings Across Time, Activity and Patients X Peng, Z Xu, Y Yang, P Yang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| A Weakly Supervised Learning Framework for Parkinson’s Disease Assessment Using Wearable Sensor Z Li, X Peng, Y Zhao, X Wang, Y Yang, P Yang 2023 19th International Conference on Mobility, Sensing and Networking (MSN …, 2023 | | 2023 |
| Representative UPDRS Features of Single Wearable Sensor for Severity Classification of Parkinson’s Disease Y Zhao, X Wang, X Peng, Z Li, F Nan, M Zhou, P Yue, Z Zhao, Y Yang, ... International Workshop on Internet of Things of Big Data for Healthcare, 124-136, 2023 | | 2023 |
| Multichannel Fusion Techniques for Epilepsy Detection Using EEG W Sun, Y Liao, J Chen, X Kong, X Peng, J Qi The 44th Annual International Conference of the IEEE Engineering in Medicine …, 2022 | | 2022 |
| Experimental Analysis of Artificial Neural Networks Performance for Home-based Physical Activity Recognition Using Belt and Wristband Devices J Qi, X Peng, L Newcombe, A Simpson, Y Yang, P Yang | | |
