Shuqiong Wu
Orcid: 0000-0003-1501-9719
According to our database1,
Shuqiong Wu
authored at least 16 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach.
IEEE Access, 2025
2024
PPGCN: Phase-Aligned Periodic Graph Convolutional Network for Dual-Task-Based Cognitive Impairment Detection.
IEEE Access, 2024
MicroEmo: Time-Sensitive Multimodal Emotion Recognition with Subtle Clue Dynamics in Video Dialogues.
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Two-stream Graph Convolutional Networks with Task-specific Loss for Dual-task Gait Analysis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2021
Detecting Lower MMSE Scores in Older Adults Using Cross-Trial Features From a Dual-Task With Gait and Arithmetic.
IEEE Access, 2021
Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Person-Specific Heart Rate Estimation With Ultra-Wideband Radar Using Convolutional Neural Networks.
IEEE Access, 2019
Reconstructing 3D Lung Shape from a Single 2D Image during the Deaeration Deformation Process using Model-based Data Augmentation.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2017
SuperCut: Superpixel Based Foreground Extraction With Loose Bounding Boxes in One Cutting.
IEEE Signal Process. Lett., 2017
Continuous lung region segmentation from endoscopic images for intra-operative navigation.
Comput. Biol. Medicine, 2017
2015
Analysis of Generalization Ability for Different AdaBoost Variants Based on Classification and Regression Trees.
J. Electr. Comput. Eng., 2015
Penalized AdaBoost: Improving the Generalization Error of Gentle AdaBoost through a Margin Distribution.
IEICE Trans. Inf. Syst., 2015
2014
Parameterized AdaBoost: Introducing a Parameter to Speed Up the Training of Real AdaBoost.
IEEE Signal Process. Lett., 2014
2013
Proceedings of the 8th International Conference on System of Systems Engineering, 2013