Yawen Huang

Orcid: 0000-0002-9569-269X

According to our database1, Yawen Huang authored at least 85 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prototype Correlation Matching and Class- Relation Reasoning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging, November, 2024

Cross-Modal Vertical Federated Learning for MRI Reconstruction.
IEEE J. Biomed. Health Informatics, November, 2024

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis.
Int. J. Comput. Vis., November, 2024

DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Anomaly detection via gating highway connection for retinal fundus images.
Pattern Recognit., April, 2024

Attention Cycle-consistent universal network for More Universal Domain Adaptation.
Pattern Recognit., March, 2024

Cross-modality Neuroimage Synthesis: A Survey.
ACM Comput. Surv., March, 2024

MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning.
IEEE J. Biomed. Health Informatics, February, 2024

Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis.
Pattern Recognit., 2024

CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video.
Pattern Recognit., 2024

Improving vision transformer for medical image classification via token-wise perturbation.
J. Vis. Commun. Image Represent., 2024

Wearable-based behaviour interpolation for semi-supervised human activity recognition.
Inf. Sci., 2024

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation.
CoRR, 2024

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion.
CoRR, 2024

Learning Long-form Video Prior via Generative Pre-Training.
CoRR, 2024

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR, 2024

ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields.
CoRR, 2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
Artif. Intell. Medicine, 2024

Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Chinese Medical Diagnostic Chatbot through Supervised Fine-Tuning of Large Language Models.
Proceedings of the 6th International Conference on Internet of Things, 2024

Dual Variational Knowledge Attention for Class Incremental Vision Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2024

Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Tune-an-Ellipse: CLIP Has Potential to Find what you Want.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OTEx: Ownership Transfer and Execution Protocol for Blockchain Interoperability.
Proceedings of the IEEE International Conference on Blockchain, 2024

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Learning via Input-Output Collaborative Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A deep weakly semi-supervised framework for endoscopic lesion segmentation.
Medical Image Anal., December, 2023

MIL-ViT: A multiple instance vision transformer for fundus image classification.
J. Vis. Commun. Image Represent., December, 2023

Convolutional neural networks tamper detection and location based on fragile watermarking.
Appl. Intell., October, 2023

Learning from multiple annotators for medical image segmentation.
Pattern Recognit., June, 2023

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation.
IEEE J. Biomed. Health Informatics, March, 2023

FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis.
Neurocomputing, 2023

UniHead: Unifying Multi-Perception for Detection Heads.
CoRR, 2023

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR, 2023

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment.
CoRR, 2023

Dynamically Masked Discriminator for Generative Adversarial Networks.
CoRR, 2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction.
CoRR, 2023

Improving GAN Training via Feature Space Shrinkage.
CoRR, 2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
CoRR, 2023

A New Perspective to Boost Vision Transformer for Medical Image Classification.
CoRR, 2023

Dynamically Masked Discriminator for GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Rethinking a Unified Generative Adversarial Model for MRI Modality Completion.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Interactive Segmentation as Gaussian Process Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Combating Mode Collapse via Offline Manifold Entropy Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning.
CoRR, 2022

Decoupled Mixup for Generalized Visual Recognition.
CoRR, 2022

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.
CoRR, 2022

Combating Mode Collapse in GANs via Manifold Entropy Estimation.
CoRR, 2022

A Survey of Cross-Modality Brain Image Synthesis.
CoRR, 2022

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss.
CoRR, 2022

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis.
CoRR, 2022

Compressive Sensing-Based Image Encryption and Authentication in Edge-Clouds.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Decoupled Mixup for Out-of-Distribution Visual Recognition.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Detecting Recent Crop Phenology Dynamics in Corn and Soybean Cropping Systems of Kentucky.
Remote. Sens., 2021

GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference.
CoRR, 2021

Brain Image Synthesis with Unsupervised Multivariate Canonical CSC𝓁<sub>4</sub>Net.
CoRR, 2021

Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis.
IEEE Trans. Image Process., 2020

Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Stabilization of Matching via Negotiation for Sharing Systems and Its Application to a Ride-Share Problem.
Proceedings of the 17th European Control Conference, 2019

Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning.
IEEE Trans. Medical Imaging, 2018

2017
Region-Enhanced Joint Dictionary Learning for Cross-Modality Synthesis in Diffusion Tensor Imaging.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A Study on Education of Exploration and Exploitation Based on Analysis of Global Intellectual Property Strategy.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Geometry Regularized Joint Dictionary Learning for Cross-Modality Image Synthesis in Magnetic Resonance Imaging.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Color object recognition via cross-domain learning on RGB-D images.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2008
Development of an active flapping wing using Piezoelectric Fiber Composites.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008


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