b'Zeng Zeng'

research

∙ 05/15/2023

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction

Protein-protein interactions (PPIs) are crucial in various biological pr...

0 Ziyuan Zhao, et al. ∙

research

∙ 05/11/2023

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation

Domain shift and label scarcity heavily limit deep learning applications...

0 Ziyuan Zhao, et al. ∙

research

∙ 12/05/2022

LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

While deep learning methods hitherto have achieved considerable success ...

0 Ziyuan Zhao, et al. ∙

research

∙ 07/05/2022

ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation

While deep models have shown promising performance in medical image segm...

0 Ziyuan Zhao, et al. ∙

research

∙ 07/05/2022

MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

With large-scale well-labeled datasets, deep learning has shown signific...

0 Ziyuan Zhao, et al. ∙

research

∙ 05/22/2022

Residual Channel Attention Network for Brain Glioma Segmentation

A glioma is a malignant brain tumor that seriously affects cognitive fun...

0 Yiming Yao, et al. ∙

research

∙ 05/22/2022

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling

Intracranial arteries are critical blood vessels that supply the brain w...

0 Yaxin Zhu, et al. ∙

research

∙ 05/14/2022

Object-Aware Self-supervised Multi-Label Learning

Multi-label Learning on Image data has been widely exploited with deep l...

0 Xu Kaixin, et al. ∙

research

∙ 05/14/2022

Self-supervised Assisted Active Learning for Skin Lesion Segmentation

Label scarcity has been a long-standing issue for biomedical image segme...

0 Ziyuan Zhao, et al. ∙

research

∙ 03/31/2022

Adaptive Mean-Residue Loss for Robust Facial Age Estimation

Automated facial age estimation has diverse real-world applications in m...

0 Ziyuan Zhao, et al. ∙

research

∙ 03/23/2022

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

The success of deep convolutional neural networks (DCNNs) benefits from ...

0 Ziyuan Zhao, et al. ∙

research

∙ 08/15/2021

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading

Diabetic retinopathy (DR) is one of the most common eye conditions among...

0 Peisheng Qian, et al. ∙

research

∙ 08/15/2021

Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation

Accurate automatic liver and tumor segmentation plays a vital role in tr...

0 Ziyuan Zhao, et al. ∙

research

∙ 05/21/2021

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation

Deep learning has achieved promising segmentation performance on 3D left...

0 Shumeng Li, et al. ∙

research

∙ 03/10/2021

An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance

With the enrichment of smartphones, driving distractions caused by phone...

0 Chen Chai, et al. ∙

research

∙ 01/22/2021

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

Image segmentation is one of the most essential biomedical image process...

17 Ziyuan Zhao, et al. ∙

research

∙ 01/19/2021

Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning

As a new generation of Public Bicycle-sharing Systems (PBS), the dockles...

8 Jianguo Chen, et al. ∙

research

∙ 01/19/2021

Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network

Benefiting from convenient cycling and flexible parking locations, the D...

7 Jianguo Chen, et al. ∙

research

∙ 11/24/2020

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road

Early risk diagnosis and driving anomaly detection from vehicle stream a...

2 Xiupeng Shi, et al. ∙

research

∙ 10/29/2020

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading

Diabetes is one of the most common disease in individuals. Diabetic reti...

0 Ziyuan Zhao, et al. ∙

research

∙ 05/29/2020

A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection

Structural damage detection has become an interdisciplinary area of inte...

0 Jianxi Yang, et al. ∙

research

∙ 05/08/2020

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma

Gene mutation prediction in hepatocellular carcinoma (HCC) is of great d...

0 Kaixin Xu, et al. ∙

research

∙ 05/08/2020

Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the most common type of primary liver ...

0 Jiapan Gu, et al. ∙

research

∙ 05/07/2020

Multi-Target Deep Learning for Algal Detection and Classification

Water quality has a direct impact on industry, agriculture, and public h...

11 Peisheng Qian, et al. ∙

research

∙ 05/07/2020

Deeply Supervised Active Learning for Finger Bones Segmentation

Segmentation is a prerequisite yet challenging task for medical image an...

0 Ziyuan Zhao, et al. ∙

research

∙ 12/24/2019

Ordered or Orderless: A Revisit for Video based Person Re-Identification

Is recurrent network really necessary for learning a good visual represe...

0 Le Zhang, et al. ∙

research

∙ 10/09/2019

Cribriform pattern detection in prostate histopathological images using deep learning models

Architecture, size, and shape of glands are most important patterns used...

18 Malay Singh, et al. ∙

research

∙ 08/24/2019

Robust Regression via Deep Negative Correlation Learning

Nonlinear regression has been extensively employed in many computer visi...

24 Le Zhang, et al. ∙

research

∙ 03/12/2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation

Segmentation stands at the forefront of many high-level vision tasks. In...

0 Ziyuan Zhao, et al. ∙

research

∙ 11/15/2018

Graph Convolutional Neural Networks for Polymers Property Prediction

A fast and accurate predictive tool for polymer properties is demanding ...

0 Minggang Zeng, et al. ∙

research

∙ 11/06/2017

End-to-End Video Classification with Knowledge Graphs

Video understanding has attracted much research attention especially sin...

0 Fang Yuan, et al. ∙

research

∙ 06/17/2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

The YouTube-8M video classification challenge requires teams to classify...

0 Zhe Wang, et al. ∙

research

∙ 05/26/2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

We present a deep learning framework for computer-aided lung cancer diag...

0 Kingsley Kuan, et al. ∙

research

∙ 03/03/2017

A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification

In this study, a multi-task deep neural network is proposed for skin les...

0 Xulei Yang, et al. ∙

Zeng Zeng

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