Xiaoli Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Disease Progression

Medical Image Segmentation

Supervised Learning

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

Neuroinformatics

Publications

Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Label correlation guided discriminative label feature learning for multi-label chest image classification. Comput. Methods Programs Biomed. 245 (2024)
Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. IEEE Trans. Medical Imaging 43 (7) (2024)
Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane, Yih Chung Tham
A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images. CoRR (2024)
Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. ADMA (3) (2023)
Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) (2023)
Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement. ACM Multimedia (2023)
Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane
MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Appl. Intell. 53 (2) (2023)
Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) (2023)
Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning. Comput. Biol. Medicine 152 (2023)
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI (2023)
Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. CoRR (2023)
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR (2023)
Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. 18 (4) (2023)
Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. 53 (6) (2023)
Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. MICCAI (1) (2023)
Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. CoRR (2023)
Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. 60 (7) (2022)
Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics 20 (2) (2022)
Shanshan Tang, Peng Cao, Min Huang, Xiaoli Liu, Osmar R. Zaïane
Dual feature correlation guided multi-task learning for Alzheimer's disease prediction. Comput. Biol. Medicine 140 (2022)
Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM (2021)
Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network. Comput. Biol. Medicine 138 (2021)
Xiaoli Liu, Jianzhong Wang, Fulong Ren, Jun Kong
Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression. Comput. Math. Methods Medicine 2020 (2020)
André R. Gonçalves, Xiaoli Liu, Arindam Banerjee
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence. CoRR (2019)
Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease. Neuroinformatics 17 (2) (2019)
Xiaoli Liu, Peng Cao, André R. Gonçalves, Dazhe Zhao, Arindam Banerjee
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao
Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease. Comput. Math. Methods Medicine 2018 (2018)
Xiaoli Liu, André R. Gonçalves, Peng Cao, Dazhe Zhao, Arindam Banerjee
Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Comput. Medical Imaging Graph. 66 (2018)
Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 79 (2018)
Peng Cao, Xiaoli Liu, Hezi Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease. Comput. Methods Programs Biomed. 162 (2018)
Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification. Neurocomputing 234 (2017)
Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease. BI (2017)
Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaïane
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures. Comput. Biol. Medicine 91 (2017)
Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. MICCAI (3) (2017)
Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane
norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD. Comput. Methods Programs Biomed. 140 (2017)
Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaïane
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognit. 64 (2017)
Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS (2016)
Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS (2016)