Peng Cao - RankMe

140 papers A* 4A 2B 3C 3Misc 1Journal 85Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive hypergraph and weighted classifier guided spectral learning for multi-label classification. Expert Syst. Appl. Zeyu Teng, Min Huang, Peng Cao, Shanshan Tang, Xingwei Wang
2026	J	`jnl`	Adaptive mix for semi-supervised medical image segmentation. Medical Image Anal. Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	BrainOSM: Outlier screening for multi-view functional brain network analysis. Comput. Methods Programs Biomed. Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
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`	CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification. Eng. Appl. Artif. Intell. Ruoxian Song, Peng Cao, Guangqi Wen, Lanting Li, Wei Liang, Weiping Li, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	Collaborative Learning of Augmentation and Disentanglement for Semi-Supervised Domain Generalized Medical Image Segmentation. IEEE Trans. Medical Imaging Zhiqiang Shen, Peng Cao, Qinghua Zhou, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	DisNet : Learning interpretable depression representations in speech. Neural Networks Wenju Yang, Peng Cao, Yang Wang, Jie Yang, Fei Wang
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`	IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis. CoRR Chongxiao Wang, Junjie Liang, Peng Cao, Jinzhu Yang, 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`	Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation. IEEE Trans. Affect. Comput. Junjie Liang, Peng Cao, Chongxiao Wang, Jinzhu Yang, Fei Wang, 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`	An Adaptive Federated Domain Generalization Framework for Consumer Electronics Manufacturing Equipment Cross-Factory Fault Detection. IEEE Trans. Consumer Electron. Haodong Li, Xingwei Wang, Ying Li, Bo Yi, Peng Cao, Min Huang, Keqin Li
2025	—	`conf`	BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. MICCAI (12) Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentation. Comput. Methods Programs Biomed. Qi Yu, Hongxia Ning, Jinzhu Yang, Chen Li, Yiqiu Qi, Mingjun Qu, Honghe Li, Song Sun, Peng Cao, Chaolu Feng
2025	—	`conf`	ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. MICCAI (5) Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. CoRR Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	CorLabelNet: a comprehensive framework for multi-label chest X-ray image classification with correlation guided discriminant feature learning and oversampling. Medical Biol. Eng. Comput. Kai Zhang, Wei Liang, Peng Cao, Zhaoyang Mao, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao, Jinzhu Yang, Weiping Li, 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`	Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis. IEEE Trans. Medical Imaging Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaïane, Fei Wang
2025	—	`conf`	Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech. ICONIP (3) Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, 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	—	`conf`	RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis. MICCAI (13) Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang, Meng Wang, Ke Zou, Yih Chung Tham, Huazhu Fu, Osmar R. Zaïane
2025	—	`conf`	Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities. MICCAI (8) Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	—	`conf`	Structure-Aware Self-supervised Graph Representation Learning. DASFAA (3) Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2025	J	`jnl`	Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation. CoRR Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane, Zhaolin Chen
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`	3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. MICCAI (9) Junjie Liang, Peng Cao, Wenju Yang, 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	J	`jnl`	Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2024	J	`jnl`	BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane
2024	A	`conf`	Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2024	—	`conf`	Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane
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	J	`jnl`	Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation. Appl. Intell. Yaqi Wang, Qingshan Hou, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	J	`jnl`	Multi-label borderline oversampling technique. Pattern Recognit. Zeyu Teng, Peng Cao, Min Huang, Zheming Gao, Xingwei Wang
2024	J	`jnl`	Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	—	`conf`	Optimizing Learnable Frequency-Domain Filterbanks for Depression Detection via Speech Representation Disentanglement. ICONIP (9) Wenju Yang, Leyang Li, Yong Hao, Peng Cao, Osmar R. Zaïane
2024	J	`jnl`	Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction. Adv. Eng. Informatics Haodong Li, Peng Cao, Xingwei Wang, Ying Li, Bo Yi, Min Huang
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
2024	J	`jnl`	Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2024	A*	`conf`	Reusing Transferable Weight Increments for Low-resource Style Generation. EMNLP Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaïane
2024	A	`conf`	SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning. ECAI Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaïane
2024	J	`jnl`	SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning. CoRR Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar R. Zaïane
2024	J	`jnl`	Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	—	`conf`	Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. MICCAI (9) Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	Misc	`conf`	Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
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	J	`jnl`	Attention guided learnable time-domain filterbanks for speech depression detection. Neural Networks Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang
2023	J	`jnl`	BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane
2023	—	`conf`	BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
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`	EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography. Comput. Biol. Medicine Honghe Li, Yonghuai Wang, Mingjun Qu, Peng Cao, Chaolu Feng, Jinzhu Yang
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 attention mechanism for graph similarity learning. Knowl. Based Syst. Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, 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	J	`jnl`	FFANet - Full frequency attention net for automatic diastolic function assessment. Biomed. Signal Process. Control. Mingjun Qu, Shitong Wang, Yonghuai Wang, Honghe Li, Lanting Zhao, Peng Cao, Jinzhu Yang
2023	J	`jnl`	Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane
2023	J	`jnl`	Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang, Osmar R. Zaïane
2023	—	`conf`	Label Correlation Guided Feature Selection for Multi-label Learning. ADMA (4) Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023	J	`jnl`	Label correlation guided borderline oversampling for imbalanced multi-label data learning. Knowl. Based Syst. Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
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`	MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Inf. Sci. Syst. Haonan Wang, Peng Cao, Jinzhu Yang, 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`	Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction. Adv. Eng. Informatics Haodong Li, Peng Cao, Xingwei Wang, Bo Yi, Min Huang, Qiuye Sun, Yanfeng Zhang
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	J	`jnl`	WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine Zhiqiang Shen, Peng Cao, 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`	Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images. Comput. Biol. Medicine Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaïane
2022	—	`conf`	DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation. ICMLSC Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li
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`	How Live Streaming Changes Shopping Decisions in E-commerce: A Study of Live Streaming Commerce. Comput. Support. Cooperative Work. Ye Wang, Zhicong Lu, Peng Cao, Jingyi Chu, Haonan Wang, Roger Wattenhofer
2022	J	`jnl`	MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. Comput. Biol. Medicine Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane
2022	J	`jnl`	Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
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
2022	A*	`conf`	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. AAAI Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
2022	J	`jnl`	Vessel filtering and segmentation of coronary CT angiographic images. Int. J. Comput. Assist. Radiol. Surg. Yan Huang, Jinzhu Yang, Qi Sun, Shuang Ma, Yuliang Yuan, Wenjun Tan, Peng Cao, Chaolu Feng
2021	—	`conf`	Joint feature and task aware multi-task feature learning for Alzheimer's disease diagnosis. BIBM Peng Cao, Wei Liang, Kai Zhang, Shanshan Tang, Jinzhu Yang
2021	J	`jnl`	MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, 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
2021	J	`jnl`	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer. CoRR Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
2020	—	`conf`	A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2020	—	`conf`	A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2020	—	`conf`	AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis. ISICDM Mengqun Jin, Delong Zhang, Peng Cao
2020	—	`conf`	An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. ISICDM Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao
2020	—	`conf`	An atlas based level set method for 3D brain structures segmentation. ISICDM Junyi Yan, Jinzhu Yang, Wenjun Tan, Peng Cao, Lili Dou, Dazhe Zhao
2020	—	`conf`	An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. ISICDM Yafang Chen, Peng Cao, Lili Dou, Jinzhu Yang
2020	—	`conf`	Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images. ISICDM Bo Wu, Peng Cao, Jinzhu Yang, Qi Yang, Chengxi Yan, Wenxin Wang, Minglei Yang, Lili Dou
2020	—	`conf`	GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease. ISICDM Chunyu Jiang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao
2020	J	`jnl`	Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Comput. Biol. Medicine Hao Jiang, Peng Cao, Mingyi Xu, Jinzhu Yang, Osmar R. Zaïane
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	—	`conf`	ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis. BIBM Delong Zhang, Mengqun Jin, Peng Cao
2019	—	`conf`	A 3D Multi-scale Virtual Adversarial Network for False Positive Reduction in Pulmonary Nodule Detection. ICIAI Yunheng Wu, Yuxuan Pang, Peng Cao
2019	—	`conf`	An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
2019	—	`conf`	Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
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
2018	J	`jnl`	Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. Comput. Medical Imaging Graph. Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yang, Osmar R. Zaïane
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	J	`jnl`	Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm. Comput. Medical Imaging Graph. Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, 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`	Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. Peng Cao, Xuanfeng Shan, Dazhe Zhao, Min Huang, 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	J	`jnl`	Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. Comput. Math. Methods Medicine Wei Li, Peng Cao, Dazhe Zhao, Junbo Wang
2016	C	`conf`	Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
2014	J	`jnl`	Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Comput. Medical Imaging Graph. Peng Cao, Jinzhu Yang, Wei Li, Dazhe Zhao, Osmar R. Zaïane
2014	J	`jnl`	Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	—	`conf`	A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	B	`conf`	A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane
2013	—	`conf`	An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	B	`conf`	Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	C	`conf`	Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	B	`conf`	Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	—	`conf`	Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	J	`jnl`	On the application of multi-class classification in physical therapy recommendation. Health Inf. Sci. Syst. Jing Zhang, Peng Cao, Douglas P. Gross, Osmar R. Zaïane