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Jun Qi
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 16
Top Topics
Active Learning
Mri Data
Convolutional Neural Network
Similarity Measure
Top Venues
ICPADS
ICIC (LNBI 1)
BIBM
MSN
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Publications
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Hongyu Li
,
Meng Yang
,
Chao Yang
,
Jianglang Kang
,
Xiang Suo
,
Weiliang Meng
,
Zhen Li
,
Lijuan Mao
,
Bin Sheng
,
Jun Qi
Soccer match broadcast video analysis method based on detection and tracking.
Comput. Animat. Virtual Worlds
35 (3) (2024)
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)
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)
Lin Shi
,
Zexin Wang
,
Yuanwei Ma
,
Jianjun Chen
,
Jingzhou Xu
,
Jun Qi
Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals.
ICIC (LNBI 2)
(2024)
Shuhao Zhang
,
Gaoshan Bi
,
Jun Qi
,
Yun Yang
,
Xiangzeng Kong
,
Fengtao Nan
,
Menghui Zhou
,
Po Yang
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.
IEEE Internet Things J.
10 (8, April 15) (2023)
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)
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)
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)
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)
Haoyu Wu
,
Jun Qi
,
Yong Yue
Machine Learning-based EEG Signal Classification of Parkinson's Disease.
CSCloud/EdgeCom
(2023)
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)
Jeongyeong Park
,
Nanlin Jin
,
Jianjun Chen
,
Jun Qi
EEG-based Anxiety Detection with Feature Selection.
CyberC
(2023)
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
(2023)
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)
Menghui Zhou
,
Xulong Wang
,
Yun Yang
,
Fengtao Nan
,
Yu Zhang
,
Jun Qi
,
Po Yang
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.
MSN
(2021)
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)