b'Yefeng Zheng'

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

Knowledge Graph (KG) alignment is to discover the mappings (i.e., equiva...
05/12/2021 ∙ by Zhiyuan Qi, et al. ∙ 15 ∙ share

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Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

For task-oriented dialog systems, training a Reinforcement Learning (RL)...
04/10/2021 ∙ by Zhengxu Hou, et al. ∙ 0 ∙ share

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Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

Learning by imitation is one of the most significant abilities of human ...
03/30/2021 ∙ by Hong-Yu Zhou, et al. ∙ 26 ∙ share

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Stabilized Medical Image Attacks

Convolutional Neural Networks (CNNs) have advanced existing medical syst...
03/09/2021 ∙ by Gege Qi, et al. ∙ 0 ∙ share

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Lifelong Learning based Disease Diagnosis on Clinical Notes

Current deep learning based disease diagnosis systems usually fall short...
02/27/2021 ∙ by Zifeng Wang, et al. ∙ 0 ∙ share

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MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures

Considering the scarcity of medical data, most datasets in medical image...
02/26/2021 ∙ by Luyan Liu, et al. ∙ 0 ∙ share

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Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion

Taxonomy is a hierarchically structured knowledge graph that plays a cru...
01/27/2021 ∙ by Suyuchen Wang, et al. ∙ 0 ∙ share

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Ensembled ResUnet for Anatomical Brain Barriers Segmentation

Accuracy segmentation of brain structures could be helpful for glioma an...
12/29/2020 ∙ by Munan Ning, et al. ∙ 0 ∙ share

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A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

Deep neural networks (DNNs) for medical images are extremely vulnerable ...
12/17/2020 ∙ by Qingsong Yao, et al. ∙ 0 ∙ share

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RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System

Federated Learning (FL) is an emerging decentralized artificial intellig...
12/08/2020 ∙ by YI LIU, et al. ∙ 0 ∙ share

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An Industry Evaluation of Embedding-based Entity Alignment

Embedding-based entity alignment has been widely investigated in recent ...
10/22/2020 ∙ by Ziheng Zhang, et al. ∙ 8 ∙ share

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Finding Influential Instances for Distantly Supervised Relation Extraction

Distant supervision has been demonstrated to be highly beneficial to enh...
09/17/2020 ∙ by Zifeng Wang, et al. ∙ 11 ∙ share

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Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks

We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
09/06/2020 ∙ by Zifeng Wang, et al. ∙ 17 ∙ share

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Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

Counterfactual learning for dealing with missing-not-at-random data (MNA...
09/06/2020 ∙ by Zifeng Wang, et al. ∙ 4 ∙ share

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TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification

Retinal artery/vein (A/V) classification lays the foundation for the qua...
07/29/2020 ∙ by WenTing Chen, et al. ∙ 0 ∙ share

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Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling

Medical images are generally labeled by multiple experts before the fina...
07/29/2020 ∙ by Shuang Yu, et al. ∙ 0 ∙ share

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Learning Crisp Edge Detector Using Logical Refinement Network

Edge detection is a fundamental problem in different computer vision tas...
07/24/2020 ∙ by Luyan Liu, et al. ∙ 0 ∙ share

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Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning

Recently, deep learning has been adopted to the glaucoma classification ...
07/22/2020 ∙ by Junde Wu, et al. ∙ 0 ∙ share

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Instance-aware Self-supervised Learning for Nuclei Segmentation

Due to the wide existence and large morphological variances of nuclei, a...
07/22/2020 ∙ by Xinpeng Xie, et al. ∙ 0 ∙ share

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MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint

Domain shift between medical images from multicentres is still an open q...
07/22/2020 ∙ by Xinpeng Xie, et al. ∙ 0 ∙ share

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A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
07/20/2020 ∙ by Munan Ning, et al. ∙ 16 ∙ share

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Deep Image Clustering with Category-Style Representation

Deep clustering which adopts deep neural networks to obtain optimal repr...
07/20/2020 ∙ by Junjie Zhao, et al. ∙ 9 ∙ share

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Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications

Medical image analysis benefits Computer Aided Diagnosis (CADx). A funda...
07/20/2020 ∙ by Lijun Gong, et al. ∙ 0 ∙ share

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GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

The automatic grading of diabetic retinopathy (DR) facilitates medical d...
07/20/2020 ∙ by Shaoteng Liu, et al. ∙ 0 ∙ share

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Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation

Witnessing the success of deep learning neural networks in natural image...
07/20/2020 ∙ by Yuexiang Li, et al. ∙ 0 ∙ share

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Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification

Retinal artery/vein (A/V) classification plays a critical role in the cl...
07/18/2020 ∙ by Wenao Ma, et al. ∙ 0 ∙ share

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Superpixel-Guided Label Softening for Medical Image Segmentation

Segmentation of objects of interest is one of the central tasks in medic...
07/17/2020 ∙ by Hang Li, et al. ∙ 18 ∙ share

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Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation

Deep learning highly relies on the quantity of annotated data. However, ...
07/17/2020 ∙ by Xing Tao, et al. ∙ 0 ∙ share

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Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

In deep learning era, pretrained models play an important role in medica...
07/15/2020 ∙ by Hong-Yu Zhou, et al. ∙ 0 ∙ share

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Learning and Exploiting Interclass Visual Correlations for Medical Image Classification

Deep neural network-based medical image classifications often use "hard"...
07/13/2020 ∙ by Dong Wei, et al. ∙ 0 ∙ share

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Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift

Deep convolutional neural networks (DCNNs) have contributed many breakth...
06/19/2020 ∙ by Qinming Zhang, et al. ∙ 0 ∙ share

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Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

Magnetic Resonance (MR) images of different modalities can provide compl...
05/02/2020 ∙ by Bingyu Xin, et al. ∙ 0 ∙ share

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Generative Adversarial Networks for Video-to-Video Domain Adaptation

Endoscopic videos from multicentres often have different imaging conditi...
04/17/2020 ∙ by Jiawei Chen, et al. ∙ 34 ∙ share

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Quality Control of Neuron Reconstruction Based on Deep Learning

Neuron reconstruction is essential to generate exquisite neuron connecti...
03/19/2020 ∙ by Donghuan Lu, et al. ∙ 0 ∙ share

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LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation

We introduce a one-shot segmentation method to alleviate the burden of m...
03/16/2020 ∙ by Shuxin Wang, et al. ∙ 0 ∙ share

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Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks

Primary angle-closure disease (PACD) is a severe retinal disease, which ...
10/23/2019 ∙ by Chenglang Yuan, et al. ∙ 0 ∙ share

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Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

Witnessed the development of deep learning, increasing number of studies...
10/05/2019 ∙ by Xinrui Zhuang, et al. ∙ 0 ∙ share

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Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images

Automatic and accurate segmentation for retinal and choroidal layers of ...
08/22/2019 ∙ by Jiexiang Wang, et al. ∙ 0 ∙ share

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Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence

Breast lesion detection in ultrasound video is critical for computer-aid...
07/16/2019 ∙ by Sihong Chen, et al. ∙ 6 ∙ share

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Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster

Accurate lesion detection in computer tomography (CT) slices benefits pa...
07/09/2019 ∙ by Qingbin Shao, et al. ∙ 0 ∙ share

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A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage

Computer-aided diagnosis (CADx) systems have been shown to assist radiol...
06/05/2019 ∙ by Yifan Hu, et al. ∙ 0 ∙ share

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OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images

Deep learning models, such as the fully convolutional network (FCN), hav...
06/05/2019 ∙ by Yu Chen, et al. ∙ 0 ∙ share

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X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks

Computed tomography (CT) can provide a 3D view of the patient's internal...
05/16/2019 ∙ by Xingde Ying, et al. ∙ 0 ∙ share

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TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos

With superiorities on low cost, portability, and free of radiation, echo...
04/01/2019 ∙ by Sihong Chen, et al. ∙ 0 ∙ share

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Med3D: Transfer Learning for 3D Medical Image Analysis

The performance on deep learning is significantly affected by volume of ...
04/01/2019 ∙ by Sihong Chen, et al. ∙ 0 ∙ share

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Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

Accurately segmenting left atrium in MR volume can benefit the ablation ...
12/14/2018 ∙ by Cheng Bian, et al. ∙ 0 ∙ share

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When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets

Semi-Supervised Learning (SSL) has been proved to be an effective way to...
12/13/2018 ∙ by Hong-Yu Zhou, et al. ∙ 0 ∙ share

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Face Completion with Semantic Knowledge and Collaborative Adversarial Learning

Unlike a conventional background inpainting approach that infers a missi...
12/08/2018 ∙ by Haofu Liao, et al. ∙ 0 ∙ share

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...
11/05/2018 ∙ by Spyridon Bakas, et al. ∙ 0 ∙ share

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Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Simultaneous segmentation of multiple organs from different medical imag...
05/08/2018 ∙ by Saeid Asgari Taghanaki, et al. ∙ 2 ∙ share

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Yefeng Zheng

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