Binyu Yan

Orcid: 0009-0007-2038-686X

According to our database1, Binyu Yan authored at least 28 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation.
IEEE Trans. Instrum. Meas., 2024

Alleviating Class Imbalance in Semi-Supervised Multi-Organ Segmentation via Balanced Subclass Regularization.
IEEE Signal Process. Lett., 2024

BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.
CoRR, 2024

Enhancing Hybrid CNN-Transformer via Frequency-Based Bridging for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Content-Aware Adversarial Network with Gradient-Enhanced Dose Rectification for Radiotherapy Dose Prediction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2024

DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Iterative dual regression network for blind image super-resolution.
Signal Image Video Process., July, 2023

Lightweight Parallel Feedback Network for Image Super-Resolution.
Neural Process. Lett., June, 2023

Lightweight image super-resolution via overlapping back-projection feedback network for embedded devices.
Microprocess. Microsystems, April, 2023

DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DiffDP: Radiotherapy Dose Prediction via a Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
MFEN: Lightweight multi-scale feature extraction super-resolution network in embedded system.
Microprocess. Microsystems, September, 2022

Multi-Scale Mixed Attention Network for CT and MRI Image Fusion.
Entropy, 2022

Lightweight bidirectional feedback network for image super-resolution.
Comput. Electr. Eng., 2022

2021
Multi-Residual Feature Fusion Network for lightweight Single Image Super-Resolution.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Multiple Regressions based Image Super-resolution.
Multim. Tools Appl., 2020

2019
Implementing real-time RCF-Retinex image enhancement method using CUDA.
J. Real Time Image Process., 2019

Fisher-discriminative regularized latent sparse transfer model.
Int. J. Wavelets Multiresolution Inf. Process., 2019

2018
Infrared Image Super-Resolution with Parallel Random Forest.
Int. J. Parallel Program., 2018

A sparse representation based pansharpening method.
Future Gener. Comput. Syst., 2018

2016
Fast multisensor infrared image super-resolution scheme with multiple regression models.
J. Syst. Archit., 2016

A new framework for remote sensing image super-resolution: Sparse representation-based method by processing dictionaries with multi-type features.
J. Syst. Archit., 2016

Multiscale and Multitopic Sparse Representation for Multisensor Infrared Image Superresolution.
J. Sensors, 2016

An Efficient Image Enlargement Method for Image Sensors of Mobile in Embedded Systems.
J. Sensors, 2016

2014
Remote Sensing Image Super-resolution Using Dual-Dictionary Pairs Based on Sparse Presentation and Multiple Features.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

2013
Remote Sensing Images Super-resolution Based on Sparse Dictionaries and Residual Dictionaries.
Proceedings of the IEEE 11th International Conference on Dependable, 2013


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