b'Yefeng Zheng'

research

∙ 05/16/2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Inspired by the great success of deep neural networks, learning-based me...

Hong Wang, et al. ∙

research

∙ 05/16/2022

Robust Representation via Dynamic Feature Aggregation

Deep convolutional neural network (CNN) based models are vulnerable to t...

Haozhe Liu, et al. ∙

research

∙ 04/29/2022

"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

With the rise of telemedicine, the task of developing Dialogue Systems f...

Wenge Liu, et al. ∙

research

∙ 04/23/2022

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

Semantic segmentation is important in medical image analysis. Inspired b...

Cong Xie, et al. ∙

research

∙ 03/19/2022

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation

Due to the lack of properly annotated medical data, exploring the genera...

Cheng Bian, et al. ∙

research

∙ 03/12/2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection

Automated salient object detection (SOD) plays an increasingly crucial r...

Heqin Zhu, et al. ∙

research

∙ 03/10/2022

Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging

Knowledge of molecular subtypes of gliomas can provide valuable informat...

Dong Wei, et al. ∙

research

∙ 03/07/2022

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network

Fully convolutional neural networks have made promising progress in join...

Shuxin Wang, et al. ∙

research

∙ 03/04/2022

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Automated surface segmentation of retinal layer is important and challen...

Hong Liu, et al. ∙

research

∙ 02/16/2022

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images

Nuclei segmentation is a crucial task for whole slide image analysis in ...

Yi Lin, et al. ∙

research

∙ 02/14/2022

A Survey of Cross-Modality Brain Image Synthesis

The existence of completely aligned and paired multi-modal neuroimaging ...

Guoyang Xie, et al. ∙

research

∙ 01/29/2022

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss

The existence of completely aligned and paired multi-modal neuroimaging ...

Guoyang Xie, et al. ∙

research

∙ 01/22/2022

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis

Utilizing the paired multi-modal neuroimaging data has been proved to be...

Guoyang Xie, et al. ∙

research

∙ 12/31/2021

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship

Continual learning requires models to learn new tasks while maintaining ...

Quanziang Wang, et al. ∙

research

∙ 12/23/2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images

During the computed tomography (CT) imaging process, metallic implants w...

Hong Wang, et al. ∙

research

∙ 10/12/2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

Recent years have witnessed the dramatic growth of paper volumes with pl...

Jiayuan Ding, et al. ∙

research

∙ 10/09/2021

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

Rare diseases are characterized by low prevalence and are often chronica...

Jinghan Sun, et al. ∙

research

∙ 09/29/2021

PAC-Bayes Information Bottleneck

Information bottleneck (IB) depicts a trade-off between the accuracy and...

Zifeng Wang, et al. ∙

research

∙ 09/28/2021

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Semi-supervised learning has substantially advanced medical image segmen...

Zhe Xu, et al. ∙

research

∙ 09/24/2021

Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views

View planning for the acquisition of cardiac magnetic resonance imaging ...

Dong Wei, et al. ∙

research

∙ 09/07/2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization

Existing unsupervised document hashing methods are mostly established on...

Zijing Ou, et al. ∙

research

∙ 08/18/2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation

Unsupervised domain adaption has proven to be an effective approach for ...

Munan Ning, et al. ∙

research

∙ 08/18/2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework

Domain shift happens in cross-domain scenarios commonly because of the w...

Munan Ning, et al. ∙

research

∙ 07/19/2021

RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation

Universal lesion detection in computed tomography (CT) images is an impo...

Cong Xie, et al. ∙

research

∙ 07/06/2021

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration

In order to tackle the difficulty associated with the ill-posed nature o...

Zhe Xu, et al. ∙

research

∙ 06/30/2021

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint

Convolutional neural network (CNN) have proven its success for semantic ...

Jiawei Chen, et al. ∙

research

∙ 06/27/2021

Residual Moment Loss for Medical Image Segmentation

Location information is proven to benefit the deep learning models on ca...

Quanziang Wang, et al. ∙

research

∙ 06/18/2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Joint extraction of entities and relations from unstructured texts is a ...

Hengyi Zheng, et al. ∙

research

∙ 06/17/2021

Prototypical Graph Contrastive Learning

Graph-level representations are critical in various real-world applicati...

Shuai Lin, et al. ∙

research

∙ 06/16/2021

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

Knowledge Graph (KG) alignment aims at finding equivalent entities and r...

Zhiyuan Qi, et al. ∙

research

∙ 06/12/2021

LE-NAS: Learning-based Ensenble with NAS for Dose Prediction

Radiation therapy treatment planning is a complex process, as the target...

Yi Lin, et al. ∙

research

∙ 06/03/2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Manually segmenting the hepatic vessels from Computer Tomography (CT) is...

Zhe Xu, et al. ∙

research

∙ 05/27/2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval

With the need of fast retrieval speed and small memory footprint, docume...

Zijing Ou, et al. ∙

research

∙ 05/25/2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

This paper explores the task of Difficulty-Controllable Question Generat...

Yi Cheng, et al. ∙

research

∙ 05/17/2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

Semantic embedding has been widely investigated for aligning knowledge g...

Yuejia Xiang, et al. ∙

research

∙ 05/12/2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

Knowledge Graph (KG) alignment is to discover the mappings (i.e., equiva...

Zhiyuan Qi, et al. ∙

research

∙ 04/10/2021

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

For task-oriented dialog systems, training a Reinforcement Learning (RL)...

Zhengxu Hou, et al. ∙

research

∙ 03/30/2021

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

Learning by imitation is one of the most significant abilities of human ...

Hong-Yu Zhou, et al. ∙

research

∙ 03/09/2021

Stabilized Medical Image Attacks

Convolutional Neural Networks (CNNs) have advanced existing medical syst...

Gege Qi, et al. ∙

research

∙ 02/27/2021

Lifelong Learning based Disease Diagnosis on Clinical Notes

Current deep learning based disease diagnosis systems usually fall short...

Zifeng Wang, et al. ∙

research

∙ 02/26/2021

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures

Considering the scarcity of medical data, most datasets in medical image...

Luyan Liu, et al. ∙

research

∙ 01/27/2021

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...

Suyuchen Wang, et al. ∙

research

∙ 12/29/2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation

Accuracy segmentation of brain structures could be helpful for glioma an...

Munan Ning, et al. ∙

research

∙ 12/17/2020

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

Deep neural networks (DNNs) for medical images are extremely vulnerable ...

Qingsong Yao, et al. ∙

research

∙ 12/08/2020

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

Federated Learning (FL) is an emerging decentralized artificial intellig...

YI LIU, et al. ∙

research

∙ 10/22/2020

An Industry Evaluation of Embedding-based Entity Alignment

Embedding-based entity alignment has been widely investigated in recent ...

Ziheng Zhang, et al. ∙

research

∙ 09/17/2020

Finding Influential Instances for Distantly Supervised Relation Extraction

Distant supervision has been demonstrated to be highly beneficial to enh...

Zifeng Wang, et al. ∙

research

∙ 09/06/2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks

We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...

Zifeng Wang, et al. ∙

research

∙ 09/06/2020

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

Counterfactual learning for dealing with missing-not-at-random data (MNA...

Zifeng Wang, et al. ∙

research

∙ 07/29/2020

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...

WenTing Chen, et al. ∙

Yefeng Zheng

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