Yixuan Yuan

Orcid: 0000-0002-0853-6948

According to our database1, Yixuan Yuan authored at least 138 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

More Than Lightening: A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations.
IEEE CAA J. Autom. Sinica, March, 2024

Practically Fast Finite-Time Stability in the Mean Square of Stochastic Nonlinear Systems: Application to One-Link Manipulator.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration.
IEEE Trans. Medical Imaging, January, 2024

Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.
Medical Image Anal., January, 2024

Endora: Video Generation Models as Endoscopy Simulators.
CoRR, 2024

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
CoRR, 2024

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.
CoRR, 2024

EndoGaussian: Gaussian Splatting for Deformable Surgical Scene Reconstruction.
CoRR, 2024

2023
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023

Medical federated learning with joint graph purification for noisy label learning.
Medical Image Anal., December, 2023

Dynamic feature splicing for few-shot rare disease diagnosis.
Medical Image Anal., December, 2023

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation.
Int. J. Comput. Vis., December, 2023

Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks.
Int. J. Comput. Vis., December, 2023

Applications to the dynamics of the suspension system of fast finite time stability in probability of p-norm stochastic nonlinear systems.
Appl. Math. Comput., November, 2023

Self-Supervised Interactive Embedding for One-Shot Organ Segmentation.
IEEE Trans. Biomed. Eng., October, 2023

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation.
IEEE Trans. Medical Imaging, September, 2023

Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis.
Medical Image Anal., August, 2023

SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting.
IEEE Trans. Medical Imaging, June, 2023

GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis.
Eng. Appl. Artif. Intell., March, 2023

SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection.
IEEE Trans. Multim., 2023

Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification.
IEEE Trans. Medical Imaging, 2023

Fine-Grained Image-Text Alignment in Medical Imaging Enables Cyclic Image-Report Generation.
CoRR, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.
CoRR, 2023

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation.
CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 2023

Artificial General Intelligence for Medical Imaging.
CoRR, 2023

Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation.
CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.
CoRR, 2023

Bidirectional Propagation for Cross-Modal 3D Object Detection.
CoRR, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.
CoRR, 2023

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transferability-Guided Multi-source Model Adaptation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

$\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2023

FedPD: Federated Open Set Recognition with Parameter Disentanglement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Novel Scenes & Classes: Towards Adaptive Open-set Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adjustment and Alignment for Unbiased Open Set Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semantic-guided Unknown-aware Rare Disease Diagnosis System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
D<sup>2</sup>-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities.
IEEE Trans. Medical Imaging, 2022

A Source-Free Domain Adaptive Polyp Detection Framework With Style Diversification Flow.
IEEE Trans. Medical Imaging, 2022

Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge.
IEEE Trans. Medical Imaging, 2022

Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data.
IEEE Trans. Medical Imaging, 2022

Dynamic Depth-Aware Network for Endoscopy Super-Resolution.
IEEE J. Biomed. Health Informatics, 2022

Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Image super-resolution with an enhanced group convolutional neural network.
Neural Networks, 2022

Source free domain adaptation for medical image segmentation with fourier style mining.
Medical Image Anal., 2022

Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.
Medical Image Anal., 2022

Instance importance-Aware graph convolutional network for 3D medical diagnosis.
Medical Image Anal., 2022

Fast finite time stability of stochastic nonlinear systems.
J. Frankl. Inst., 2022

A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks.
CoRR, 2022

A heterogeneous group CNN for image super-resolution.
CoRR, 2022

Gaze-based attention to improve the classification of lung diseases.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Intervention & Interaction Federated Abnormality Detection with Noisy Clients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Unknown-Oriented Learning for Open Set Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Robust Adaptive Object Detection under Noisy Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images.
IEEE Trans. Medical Imaging, 2021

Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation.
IEEE Trans. Medical Imaging, 2021

Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction.
IEEE Trans. Medical Imaging, 2021

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.
IEEE J. Biomed. Health Informatics, 2021

HTD: Heterogeneous Task Decoupling for Two-Stage Object Detection.
IEEE Trans. Image Process., 2021

Ground-Aware Monocular 3D Object Detection for Autonomous Driving.
IEEE Robotics Autom. Lett., 2021

Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images.
Medical Image Anal., 2021

Dynamic-weighting hierarchical segmentation network for medical images.
Medical Image Anal., 2021

Exploring Gradient Flow Based Saliency for DNN Model Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Dynamic tracking for microrobot with active magnetic sensor array.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021




MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification.
IEEE Trans. Medical Imaging, 2020

Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition.
IEEE Trans Autom. Sci. Eng., 2020

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction.
IEEE Trans Autom. Sci. Eng., 2020

Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition.
Proc. IEEE, 2020

Semi-supervised WCE image classification with adaptive aggregated attention.
Medical Image Anal., 2020

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation.
Neurocomputing, 2020

Contour-aware multi-label chest X-ray organ segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2020

Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Dynamic Convolutions for Multi-modal 3D MRI Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.
IEEE J. Biomed. Health Informatics, 2019

Models for multiple attribute decision making with picture fuzzy information.
J. Intell. Fuzzy Syst., 2019

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database.
Comput. Electr. Eng., 2019

Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet).
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Automatic Polyp Detection via a Novel Unified Bottom-Up and Top-Down Saliency Approach.
IEEE J. Biomed. Health Informatics, 2018

Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification.
IEEE Trans. Cybern., 2018

RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
WCE Abnormality Detection Based on Saliency and Adaptive Locality-Constrained Linear Coding.
IEEE Trans Autom. Sci. Eng., 2017

Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video.
IEEE J. Biomed. Health Informatics, 2016

Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images.
IEEE Trans Autom. Sci. Eng., 2016

A novel global and local saliency coding method for polyp recognition in WCE videos.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis.
IEEE Trans. Medical Imaging, 2015

Automatic bleeding frame detection in the wireless capsule endoscopy images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Weighted locality-constrained linear coding for lesion classification in CT images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Hierarchical key frame extraction for wireless capsule endoscopy video based on the saliency map.
Int. J. Mechatronics Autom., 2014

A novel feature for polyp detection in wireless capsule endoscopy images.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Polyp classification based on Bag of Features and saliency in wireless capsule endoscopy.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering.
IEEE Trans. Medical Imaging, September, 2013

Meta-Analysis of Functional Roles of DICCCOLs.
Neuroinformatics, 2013

2012
Visual analytics of brain networks.
NeuroImage, 2012

2011
Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Assessing graph models for description of brain networks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


  Loading...