Peng Cao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 89

Top Topics

Medical Image Segmentation

Domain Adaptation

Top Venues

Comput. Biol. Medicine

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)
Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM (2024)
Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR (2024)
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR (2024)
Haodong Li, Peng Cao, Xingwei Wang, Ying Li, Bo Yi, Min Huang
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction. Adv. Eng. Informatics 60 (2024)
Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane
BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. 96 (2024)
Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP (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)
Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar R. Zaïane
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning. CoRR (2024)
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR (2024)
Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks 178 (2024)
Yaqi Wang, Qingshan Hou, Peng Cao, Jinzhu Yang, Osmar R. Zaiane
Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation. Appl. Intell. 54 (2) (2024)
Zeyu Teng, Peng Cao, Min Huang, Zheming Gao, Xingwei Wang
Multi-label borderline oversampling technique. Pattern Recognit. 145 (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)
Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang
Attention guided learnable time-domain filterbanks for speech depression detection. Neural Networks 165 (2023)
Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Inf. Sci. Syst. 11 (1) (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)
Honghe Li, Yonghuai Wang, Mingjun Qu, Peng Cao, Chaolu Feng, Jinzhu Yang
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography. Comput. Biol. Medicine 156 (2023)
Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Label Correlation Guided Feature Selection for Multi-label Learning. ADMA (4) (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)
Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) (2023)
Mingjun Qu, Shitong Wang, Yonghuai Wang, Honghe Li, Lanting Zhao, Peng Cao, Jinzhu Yang
FFANet - Full frequency attention net for automatic diastolic function assessment. Biomed. Signal Process. Control. 86 (Part B) (2023)
Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane
BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine 153 (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)
Haodong Li, Peng Cao, Xingwei Wang, Bo Yi, Min Huang, Qiuye Sun, Yanfeng Zhang
Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction. Adv. Eng. Informatics 55 (2023)
Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang, Osmar R. Zaïane
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Label correlation guided borderline oversampling for imbalanced multi-label data learning. Knowl. Based Syst. 279 (2023)
Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine 154 (2023)
Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane
Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Exploring attention mechanism for graph similarity learning. Knowl. Based Syst. 276 (2023)
Ye Wang, Zhicong Lu, Peng Cao, Jingyi Chu, Haonan Wang, Roger Wattenhofer
How Live Streaming Changes Shopping Decisions in E-commerce: A Study of Live Streaming Commerce. Comput. Support. Cooperative Work. 31 (4) (2022)
Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. 219 (2022)
Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaïane
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images. Comput. Biol. Medicine 144 (2022)
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)
Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. Comput. Biol. Medicine 142 (2022)
Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li
DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation. ICMLSC (2022)
Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. 60 (9) (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)
Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. AAAI (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)
Yan Huang, Jinzhu Yang, Qi Sun, Shuang Ma, Yuliang Yuan, Wenjun Tan, Peng Cao, Chaolu Feng
Vessel filtering and segmentation of coronary CT angiographic images. Int. J. Comput. Assist. Radiol. Surg. 17 (10) (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)
Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. 92 (2021)
Peng Cao, Wei Liang, Kai Zhang, Shanshan Tang, Jinzhu Yang
Joint feature and task aware multi-task feature learning for Alzheimer's disease diagnosis. BIBM (2021)
Chunyu Jiang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao
GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease. ISICDM (2020)
Mengqun Jin, Delong Zhang, Peng Cao
AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis. ISICDM (2020)
Xiaoli Liu, Jiali Li, Peng Cao
Modeling Disease Progression with Deep Neural Networks. ISICDM (2020)
Junyi Yan, Jinzhu Yang, Wenjun Tan, Peng Cao, Lili Dou, Dazhe Zhao
An atlas based level set method for 3D brain structures segmentation. ISICDM (2020)
Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM (2020)
Delong Zhang, Mengqun Jin, Peng Cao
ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis. BIBM (2020)
Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. ISICDM (2020)
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)
Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM (2020)
Bo Wu, Peng Cao, Jinzhu Yang, Qi Yang, Chengxi Yan, Wenxin Wang, Minglei Yang, Lili Dou
Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images. ISICDM (2020)
Hao Jiang, Peng Cao, MingYi Xu, Jinzhu Yang, Osmar R. Zaïane
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Comput. Biol. Medicine 127 (2020)
Xiaoli Liu, Jiali Li, Peng Cao
S-GCN: A siamese spectral graph convolutions on brain connectivity networks. ISICDM (2020)
Yafang Chen, Peng Cao, Lili Dou, Jinzhu Yang
An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. ISICDM (2020)
Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM (2019)
Yunheng Wu, Yuxuan Pang, Peng Cao
A 3D Multi-scale Virtual Adversarial Network for False Positive Reduction in Pulmonary Nodule Detection. ICIAI (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)
Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM (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)
Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yang, Osmar R. Zaïane
Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. Comput. Medical Imaging Graph. 69 (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, Xuanfeng Shan, Dazhe Zhao, Min Huang, Osmar R. Zaïane
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 72 (2017)
Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, Osmar R. Zaïane
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm. Comput. Medical Imaging Graph. 55 (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)
Wei Li, Peng Cao, Dazhe Zhao, Junbo Wang
Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. Comput. Math. Methods Medicine 2016 (2016)
Peng Cao, Jinzhu Yang, Wei Li, Dazhe Zhao, Osmar R. Zaïane
Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Comput. Medical Imaging Graph. 38 (3) (2014)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. 18 (6) (2014)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS (2013)
Jing Zhang, Peng Cao, Douglas P. Gross, Osmar R. Zaïane
On the application of multi-class classification in physical therapy recommendation. Health Inf. Sci. Syst. 1 (1) (2013)
Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane
A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC (2013)