Xiaoli Liu - RankMe

57 papers A* 2C 2Journal 39Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis. CoRR Xiaolong Li, Guiliang Guo, Guangqi Wen, Peng Cao, Jinzhu Yang, Honglin Wu, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling. CoRR Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Fei Wang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning. CoRR Siyu Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis. CoRR Jingfeng Tang, Peng Cao, Guangqi Wen, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	Multiscale Structure-Guided Latent Diffusion for Multimodal MRI Translation. CoRR Jianqiang Lin, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane, Xiaoli Liu
2026	J	`jnl`	Visually-Guided Controllable Medical Image Generation via Fine-Grained Semantic Disentanglement. CoRR Xin Huang, Junjie Liang, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2025	J	`jnl`	A Reference-Free Quality Enhancement Framework for Low-Quality Fundus Images. IEEE Trans. Circuits Syst. Video Technol. Qingshan Hou, Yaqi Wang, Linqi Lan, Peng Cao, Jinzhu Yang, Xiaoli Liu, Meng Wang, Yih Chung Tham, Osmar R. Zaïane
2025	J	`jnl`	FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation. CoRR Qingshan Hou, Meng Wang, Peng Cao, Ke Zou, Xiaoli Liu, Huazhu Fu, Osmar R. Zaïane
2025	J	`jnl`	Pathology-Preserving Transformer Based on Multicolor Space for Low-Quality Medical Image Enhancement. IEEE Trans. Multim. Qingshan Hou, Yaqi Wang, Peng Cao, Jianguo Ju, Huijuan Tu, Xiaoli Liu, Jinzhu Yang, Huazhu Fu, Yih Chung Tham, Osmar R. Zaïane
2025	J	`jnl`	SynMatch: Rethinking Consistency in Medical Image Segmentation with Sparse Annotations. CoRR Zhiqiang Shen, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2024	—	`conf`	A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. MICCAI (3) Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2024	—	`conf`	A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. MICCAI (3) Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane
2024	J	`jnl`	A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images. CoRR Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane, Yih Chung Tham
2024	J	`jnl`	A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. IEEE Trans. Medical Imaging Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2024	—	`conf`	GeoFed: A Geography-Aware Federated Learning Approach for Vehicular Visual Crowdsensing. ICC Xinli Hao, Wenjun Zhang, Xiaoli Liu, Chao Zhu, Sasu Tarkoma
2024	J	`jnl`	Label correlation guided discriminative label feature learning for multi-label chest image classification. Comput. Methods Programs Biomed. Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2024	—	`conf`	Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. MICCAI (9) Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2023	A*	`conf`	A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement. ACM Multimedia Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	A*	`conf`	Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning. Comput. Biol. Medicine Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang
2023	—	`conf`	Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2023	J	`jnl`	MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Appl. Intell. Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane
2023	—	`conf`	Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. MICCAI (1) Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. CoRR Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane
2023	J	`jnl`	Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. CoRR Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	—	`conf`	Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	—	`conf`	csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. ADMA (3) Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	Dual feature correlation guided multi-task learning for Alzheimer's disease prediction. Comput. Biol. Medicine Shanshan Tang, Peng Cao, Min Huang, Xiaoli Liu, Osmar R. Zaïane
2022	J	`jnl`	Gaze Estimation via the Joint Modeling of Multiple Cues. IEEE Trans. Circuits Syst. Video Technol. Wenhe Chen, Hui Xu, Chao Zhu, Xiaoli Liu, Yinghua Lu, Caixia Zheng, Jun Kong
2022	J	`jnl`	Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, Mingyi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2021	J	`jnl`	Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network. Comput. Biol. Medicine Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2021	—	`conf`	Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane
2020	J	`jnl`	An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network. Entropy Fucong Liu, Tongzhou Zhang, Caixia Zheng, Yuanyuan Cheng, Xiaoli Liu, Miao Qi, Jun Kong, Jianzhong Wang
2020	J	`jnl`	Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression. Comput. Math. Methods Medicine Xiaoli Liu, Jianzhong Wang, Fulong Ren, Jun Kong
2020	—	`conf`	Modeling Disease Progression with Deep Neural Networks. ISICDM Xiaoli Liu, Jiali Li, Peng Cao
2020	—	`conf`	S-GCN: A siamese spectral graph convolutions on brain connectivity networks. ISICDM Xiaoli Liu, Jiali Li, Peng Cao
2020	—	`conf`	SP-MTFL: A self paced multi-task feature learning method for cognitive performance predicting of Alzheimer's disease. ISICDM Xiaoli Liu, Jiali Li, Peng Cao
2020	J	`jnl`	Spatiotemporal Interaction Residual Networks with Pseudo3D for Video Action Recognition. Sensors Jianyu Chen, Jun Kong, Hui Sun, Hui Xu, Xiaoli Liu, Yinghua Lu, Caixia Zheng
2019	J	`jnl`	Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease. Neuroinformatics Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao
2019	J	`jnl`	Two-block vs. Multi-block ADMM: An empirical evaluation of convergence. CoRR André R. Gonçalves, Xiaoli Liu, Arindam Banerjee
2018	J	`jnl`	Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease. Comput. Methods Programs Biomed. Peng Cao, Xiaoli Liu, Hezi Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2018	J	`jnl`	Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease. Comput. Math. Methods Medicine Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao
2018	J	`jnl`	Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Trans. Knowl. Discov. Data Xiaoli Liu, Peng Cao, André R. Gonçalves, Dazhe Zhao, Arindam Banerjee
2018	J	`jnl`	Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Comput. Medical Imaging Graph. Xiaoli Liu, André R. Gonçalves, Peng Cao, Dazhe Zhao, Arindam Banerjee
2018	J	`jnl`	ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2017	J	`jnl`	A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognit. Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaïane
2017	J	`jnl`	A ℓ Comput. Methods Programs Biomed. Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2017	—	`conf`	Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease. BI Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2017	J	`jnl`	Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures. Comput. Biol. Medicine Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaïane
2017	—	`conf`	Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. MICCAI (3) Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2017	J	`jnl`	ℓ Neurocomputing Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2016	C	`conf`	Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
2016	C	`conf`	Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane