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ORCIDXiaoli Liu 0001
Person information
- affiliation: Northeastern University, Shenyang, China
Other persons with the same name
- Xiaoli Liu (aka: Xiao-Li Liu, Xiao-li Liu) — disambiguation page
- Xiaoli Liu 0002 (aka: Xiao-Li Liu 0002) — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Xiaoli Liu 0003 — Beihang University, Beijing, China
- Xiaoli Liu 0004 — China Earthquake Administration, Wuhan, China
- Xiaoli Liu 0005
![[0000-0003-4792-2267]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4792-2267")
— University of Helsinki, Department of Computer Science, Finland (and 1 more) - Xiaoli Liu 0006 — Hefei University of Technology, School of Mechanical Engineering, China
- Xiaoli Liu 0007 — Chinese Academy of Surveying and Mapping, Beijing, China
- Xiaoli Liu 0008 (aka: Xiao-Li Liu 0008) — Shenzhen University, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronics Engineering, China
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2020 – today
- 2024
[j24]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: 108032 (2024)- [j23]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): 2479-2494 (2024) - [c18]Xinli Hao, Wenjun Zhang, Xiaoli Liu, Chao Zhu, Sasu Tarkoma:
GeoFed: A Geography-Aware Federated Learning Approach for Vehicular Visual Crowdsensing. ICC 2024: 4203-4208 - [c17]Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. MICCAI (3) 2024: 3-12 - [c16]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane:
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. MICCAI (3) 2024: 13-23 - [c15]Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. MICCAI (9) 2024: 521-530 - [i5]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 abs/2404.04887 (2024) - 2023
- [j22]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): 1586-1604 (2023) - [j21]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): 6978-6991 (2023) - [j20]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): 663-673 (2023) - [j19]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: 106367 (2023) - [c14]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: 48-62 - [c13]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: 470-485 - [c12]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: 4199-4207 - [c11]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: 310-319 - [c10]Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) 2023: 671-681 - [c9]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: 7383-7393 - [i4]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 abs/2301.04465 (2023) - [i3]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 abs/2301.06943 (2023) - [i2]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 abs/2312.15182 (2023) - 2022
- [j18]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: 105090 (2022) - [j17]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): 1897-1913 (2022) - [j16]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): 353-375 (2022) - [j15]Wenhe Chen, Hui Xu, Chao Zhu, Xiaoli Liu, Yinghua Lu, Caixia Zheng, Jun Kong:
Gaze Estimation via the Joint Modeling of Multiple Cues. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1390-1402 (2022) - 2021
- [j14]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: 104935 (2021) - [c8]Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM 2021: 1270-1275 - 2020
- [j13]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: 4036560:1-4036560:23 (2020) - [j12]Fucong Liu, Tongzhou Zhang, Caixia Zheng, Yuanyuan Cheng, Xiaoli Liu, Miao Qi, Jun Kong, Jianzhong Wang:
An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network. Entropy 22(8): 901 (2020) - [j11]Jianyu Chen, Jun Kong, Hui Sun, Hui Xu, Xiaoli Liu, Yinghua Lu, Caixia Zheng:
Spatiotemporal Interaction Residual Networks with Pseudo3D for Video Action Recognition. Sensors 20(11): 3126 (2020) - [c7]Xiaoli Liu, Jiali Li, Peng Cao:
SP-MTFL: A self paced multi-task feature learning method for cognitive performance predicting of Alzheimer's disease. ISICDM 2020: 23-27 - [c6]Xiaoli Liu, Jiali Li, Peng Cao:
Modeling Disease Progression with Deep Neural Networks. ISICDM 2020: 32-34 - [c5]Xiaoli Liu, Jiali Li, Peng Cao:
S-GCN: A siamese spectral graph convolutions on brain connectivity networks. ISICDM 2020: 46-48
2010 – 2019
- 2019
- [j10]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): 271-294 (2019) - [i1]André R. Gonçalves, Xiaoli Liu, Arindam Banerjee:
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence. CoRR abs/1907.04524 (2019) - 2018
- [j9]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: 100-114 (2018) - [j8]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: 7429782:1-7429782:13 (2018) - [j7]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: 19-45 (2018) - [j6]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: 195-215 (2018) - [j5]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): 65:1-65:35 (2018) - 2017
- [j4]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: 21-37 (2017) - [j3]Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD. Comput. Methods Programs Biomed. 140: 211-231 (2017) - [j2]Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification. Neurocomputing 234: 38-57 (2017) - [j1]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: 327-346 (2017) - [c4]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: 202-212 - [c3]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: 195-202 - 2016
- [c2]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS 2016: 244-255 - [c1]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS 2016: 256-266
Coauthor Index
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last updated on 2024-10-25 21:12 CEST by the dblp team
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