Jun Qi - RankMe

77 papers A 2B 3C 11Journal 29Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of multimodal fusion for Alzheimer's disease prediction: A new taxonomy and trends. Inf. Fusion Yifan Guan, Wei Wang, Jianjun Chen, Po Yang, Jingzhou Xu, Jun Qi
2026	J	`jnl`	MNSG-Net: A Mamba-optimized U-Net for semantic gap reduction in lumbar disc herniation segmentation. Biomed. Signal Process. Control. Ning Li, Juncheng Tu, Baohua Yua, Zhihui Fu, Sunyu Hua, Yifan Guan, Jun Qi
2025	—	`conf`	A Mixture-of-Expert Model for Cross-Subject Motor Imagery Decoding. BIBM Jingzhou Xu, Haoyu Wu, Yong Yue, Jun Qi
2025	C	`conf`	Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction. INDIN Long Yang, Po Yang, Xiyang Peng, Xulong Wang, Jun Qi
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`	Enhanced dual-model framework for precision player tracking and ball detection in soccer videos. Vis. Comput. Meng Yang, Jianglang Kang, Hongyu Li, Chao Yang, Xiang Suo, Weiliang Meng, Zhen Li, Lijuan Mao, Jun Qi
2025	A	`conf`	FTCFormer: Fuzzy Token Clustering Transformer for Image Classification. ECAI Muyi Bao, Changyu Zeng, Yifan Wang, Zhengni Yang, Zimu Wang, Guangliang Cheng, Jun Qi, Wei Wang
2025	J	`jnl`	FTCFormer: Fuzzy Token Clustering Transformer for Image Classification. CoRR Muyi Bao, Changyu Zeng, Yifan Wang, Zhengni Yang, Zimu Wang, Guangliang Cheng, Jun Qi, Wei Wang
2025	C	`conf`	Integrating Large Language Models with Computer Vision for Automated Pest Management in Precision Agriculture. INDIN Yuzhu Zheng, Zhipeng Yuan, Jun Qi, Po 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	—	`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	—	`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	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	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	C	`conf`	A Data-Driven Truck Dispatching Algorithm for a Sequence-Constrained Less-Than-Truckload Container Transshipment Problem. INDIN Jiahui Gong, Jianjun Chen, Jun Qi, Haiyang Zhang
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	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`	Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals. ICIC (LNBI 2) Lin Shi, Zexin Wang, Yuanwei Ma, Jianjun Chen, Jingzhou Xu, Jun Qi
2024	—	`conf`	EEG-based Epilepsy Detection Using Robust Feature Learning Model with Manhattan Distance and L1 Regularization. BIBM Weihai Huang, Weize Yang, Zhicong Luo, Jun Qi, Qiyan Sun, Xiangzeng Kong
2024	C	`conf`	GANs-based Signal Quality Assessment for Heart Rate Estimation with Ballistocardiograph. ISPA Ruilin Cai, Jun Qi, Jiayi Li, Jianjun Chen, Wei Wang, Haiyang Zhang
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`	Multi-Instance Learning for Parkinson's Tremor Level Detection with Learnable Discriminative Pool. BIBM Haoyu Wu, Yifan Guan, Alexei Lisitsa, Xiaohui Zhu, Po Yang, Jun Qi
2024	J	`jnl`	Multi-Scale Feature and Multi-Channel Selection toward Parkinson's Disease Diagnosis with EEG. Sensors Haoyu Wu, Jun Qi, Erick Purwanto, Xiaohui Zhu, Po Yang, Jianjun Chen
2024	—	`conf`	Predicting and Visualizing Covid-19 Identification by a Hybrid Machine Learning and Pre-trained Model. BIBM Ruilin Cai, Weimei Li, Han Lu, Jiangang Chen, Dongdong Zou, Xin Chen, Yongchao Pan, Liang Feng, Jun Qi
2024	C	`conf`	ST-GCN: A Spatiotemporal Graph Convolution Neural Network for EEG Motor Imagery Signal Decoding. ISPA Jingzhou Xu, Jun Qi, Junqing Zhang, Yong Yue, Tingting Zhang, Jianjun Chen
2024	J	`jnl`	Soccer match broadcast video analysis method based on detection and tracking. Comput. Animat. Virtual Worlds Hongyu Li, Meng Yang, Chao Yang, Jianglang Kang, Xiang Suo, Weiliang Meng, Zhen Li, Lijuan Mao, Bin Sheng, Jun Qi
2024	C	`conf`	Sound-based Bee Colony State Analysis Using Compact MFCC Patterns. ISPA Weihai Huang, Weize Yang, Zhicong Luo, Jun Qi, Tingting Zhang, Xiangzeng Kong
2024	C	`conf`	Toward Multi-Agent Coordination in IoT via Prompt Pool-based Continual Reinforcement Learning. ISPA Chenhang Xu, Jia Wang, Xiaohui Zhu, Yong Yue, Jun Qi, Jieming Ma
2023	—	`conf`	EEG-based Anxiety Detection with Feature Selection. CyberC Jeongyeong Park, Nanlin Jin, Jianjun Chen, Jun Qi
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	—	`conf`	Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang
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	—	`conf`	Machine Learning-based EEG Signal Classification of Parkinson's Disease. CSCloud/EdgeCom Haoyu Wu, Jun Qi, Yong Yue
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	—	`conf`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2023	J	`jnl`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2022	J	`jnl`	Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Trans. Ind. Informatics Jiajia Li, Jie Chen, Bin Sheng, Ping Li, Po Yang, David Dagan Feng, Jun Qi
2022	—	`conf`	Machine Learning-based Gesture Recognition Using Wearable Devices. CyberC Haoyu Wu, Jun Qi, Wei Wang, Jianjun Chen
2022	—	`conf`	Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients. PervasiveHealth Peng Yue, Xiang Wang, Yu Yang, Jun Qi, Po 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	—	`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	C	`conf`	Automatic classification of EEG signals via deep learning. INDIN Tao Wu, Xiangzeng Kong, Yiwen Wang, Xue Yang, Jingxuan Liu, Jun Qi
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
2020	—	`conf`	A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments. ISPA/BDCloud/SocialCom/SustainCom Jun Qi, Hai-Ning Liang, Jianjun Chen, Xiyang Peng, Lee Newcombe, Po Yang
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	—	`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	—	`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 Hybrid Hierarchical Framework for Gym Physical Activity Recognition and Measurement Using Wearable Sensors. IEEE Internet Things J. Jun Qi, Po Yang, Martin Hanneghan, Stephen Tang, Bo Zhou
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`	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	—	`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`	Multiobjective feature selection for microarray data via distributed parallel algorithms. Future Gener. Comput. Syst. Bin Cao, Jianwei Zhao, Po Yang, Peng Yang, Xin Liu, Jun Qi, Andrew Simpson, Mohamed Elhoseny, Irfan Mehmood, Khan Muhammad
2019	—	`—`	Physical activity recognition and monitoring for healthcare in Internet of Things environment. Jun Qi
2018	J	`jnl`	A 3-D Security Modeling Platform for Social IoT Environments. IEEE Trans. Comput. Soc. Syst. Bo Zhou, Curtis L. Maines, Stephen Tang, Qi Shi, Po Yang, Qiang Yang, Jun Qi
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	—	`conf`	Experimental Analysis of Cost-Effective Mobile Sensing Technologies for Activity Analytics in Elderly Care. HPCC/SmartCity/DSS Lee Newcombe, Po Yang, Chris Carter, Martin Hanneghan, Jun Qi
2018	J	`jnl`	Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiangzeng Kong, Nan Li, Ling Lin, Pan Xiong, Jun Qi
2017	J	`jnl`	Advanced internet of things for personalised healthcare systems: A survey. Pervasive Mob. Comput. Jun Qi, Po Yang, Geyong Min, Oliver Amft, Feng Dong, Lida Xu
2017	J	`jnl`	Effective geometric restoration of distorted historical document for large-scale digitisation. IET Image Process. Po Yang, Apostolos Antonacopoulos, Christian Clausner, Stefan Pletschacher, Jun Qi
2017	J	`jnl`	Multiple density maps information fusion for effectively assessing intensity pattern of lifelogging physical activity. Neurocomputing Jun Qi, Po Yang, Martin Hanneghan, Stephen Tang
2017	—	`conf`	Uncertainty Investigation for Personalised Lifelogging Physical Activity Intensity Pattern Assessment with Mobile Devices. iThings/GreenCom/CPSCom/SmartData Jun Qi, Po Yang, Martin Hanneghan, Kieran Latham, Stephen Tang
2016	J	`jnl`	Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment. IET Networks Jun Qi, Po Yang, Martin Hanneghan, Dina Fan, Zhikun Deng, Feng Dong
2015	—	`conf`	A Survey of Physical Activity Monitoring and Assessment Using Internet of Things Technology. CIT/IUCC/DASC/PICom Jun Qi, Po Yang, Dina Fan, Zhikun Deng
2015	—	`conf`	Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment. CIT/IUCC/DASC/PICom Po Yang, Martin Hanneghan, Jun Qi, Zhikun Deng, Feng Dong, Dina Fan