Xiaoli Liu
Orcid: 0000-0003-2274-6180Affiliations:
- Northeastern University, Shenyang, China
According to our database1,
Xiaoli Liu
authored at least 37 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.
Int. J. Comput. Assist. Radiol. Surg., April, 2023
A unified framework of graph structure learning, graph generation and classification for brain network analysis.
Appl. Intell., March, 2023
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation.
CoRR, 2023
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement.
CoRR, 2023
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning.
Comput. Biol. Medicine, 2023
MS-SSD: multi-scale single shot detector for ship detection in remote sensing images.
Appl. Intell., 2023
A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.
Neuroinformatics, 2022
Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.
Medical Biol. Eng. Comput., 2022
Dual feature correlation guided multi-task learning for Alzheimer's disease prediction.
Comput. Biol. Medicine, 2022
2021
Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network.
Comput. Biol. Medicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression.
Comput. Math. Methods Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
SP-MTFL: A self paced multi-task feature learning method for cognitive performance predicting of Alzheimer's disease.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
2019
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.
Neuroinformatics, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease.
Pattern Recognit., 2018
Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
Comput. Methods Programs Biomed., 2018
Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.
Comput. Math. Methods Medicine, 2018
Comput. Medical Imaging Graph., 2018
2017
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules.
Pattern Recognit., 2017
ℓ<sub>2, 1</sub> norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification.
Neurocomputing, 2017
A ℓ<sub>2, 1</sub> norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.
Comput. Methods Programs Biomed., 2017
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.
Comput. Biol. Medicine, 2017
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease.
Proceedings of the Brain Informatics - International Conference, 2017
2016
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016