Qing Li

According to our database, Qing Li authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding.

Ziyu Li, Qing Li, Zhiyuan Zhu, Zhongyi Hu, Xia Wu

IEEE J. Biomed. Health Informatics, January, 2024

2023

Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method.

Ziyu Li, Zhiyuan Zhu, Qing Li, Xia Wu

IEEE J. Biomed. Health Informatics, 2023

EEG Feature Selection via Global Redundancy Minimization for Emotion Recognition.

Xueyuan Xu, Tianyuan Jia, Qing Li, Fulin Wei, Long Ye, Xia Wu

IEEE Trans. Affect. Comput., 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li

CoRR, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.

Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition.

Qing Li, Wei Zhang, Lin Zhao, Xia Wu, Tianming Liu

IEEE Trans. Biomed. Eng., 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.

Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform.

Han Zhang, Rui Li, Xiaotong Wen, Qing Li, Xia Wu

IEEE J. Biomed. Health Informatics, 2021

Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition.

Qing Li, Xia Wu, Tianming Liu

Medical Image Anal., 2021

2020

Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition.

Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search.

Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A Novel Graph Wavelet Model for Brain Multi-scale Activational-Connectional Feature Fusion.

Wenyan Xu, Qing Li, Zhiyuan Zhu, Xia Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.

Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.

Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2019

2017

Multi-feature kernel discriminant dictionary learning for face recognition.

Xia Wu, Qing Li, Lele Xu, Kewei Chen, Li Yao

Pattern Recognit., 2017

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.

Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Alzheimer's Disease Neuroimaging Initiative

Frontiers Comput. Neurosci., 2017

Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.

Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Rui Li

Comput. Methods Programs Biomed., 2017

Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease.

Qing Li, Xia Wu, Lele Xu, Li Yao, Kewei Chen

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017