Yi Ding

Orcid: 0000-0003-3406-9770

Affiliations:
  • University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China


According to our database1, Yi Ding authored at least 44 papers between 2014 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Driving mutual advancement of 3D reconstruction and inpainting for masked faces.
Pattern Recognit., 2025

2024
A privacy protection scheme for green communication combining digital steganography.
Peer Peer Netw. Appl., July, 2024

Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition.
IEEE Trans. Artif. Intell., April, 2024

A cascaded framework with cross-modality transfer learning for whole heart segmentation.
Pattern Recognit., March, 2024

MFNet:Real-Time Motion Focus Network for Video Frame Interpolation.
IEEE Trans. Multim., 2024

Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network.
IEEE Trans. Inf. Forensics Secur., 2024

C2FResMorph: A high-performance framework for unsupervised 2D medical image registration.
Pattern Recognit., 2024

S2F-Net: Shared-Specific Fusion Network for Infrared and Visible Image Fusion.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Gradient Saliency-aware CutMix for Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
FastNet: A Lightweight Convolutional Neural Network for Tumors Fast Identification in Mobile-Computer-Assisted Devices.
IEEE Internet Things J., June, 2023

Interpreting Universal Adversarial Example Attacks on Image Classification Models.
IEEE Trans. Dependable Secur. Comput., 2023

RLSegNet: An Medical Image Segmentation Network Based on Reinforcement Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Geometric Configuration Design and Fast Imaging for Multistatic Forward-Looking SAR Based on Wavenumber Spectrum Formation Approach.
Remote. Sens., 2023

A survey of identity recognition via data fusion and feature learning.
Inf. Fusion, 2023

Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption.
IEEE Trans. Neural Networks Learn. Syst., 2022

Adversarial Sample Attack and Defense Method for Encrypted Traffic Data.
IEEE Trans. Intell. Transp. Syst., 2022

MVFusFra: A Multi-View Dynamic Fusion Framework for Multimodal Brain Tumor Segmentation.
IEEE J. Biomed. Health Informatics, 2022

MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images.
Medical Image Anal., 2022

Facial expression recognition via coarse-grained and fine-grained feature representation.
J. Intell. Fuzzy Syst., 2022

Segmentation mask and feature similarity loss guided GAN for object-oriented image-to-image translation.
Inf. Process. Manag., 2022

Generic network for domain adaptation based on self-supervised learning and deep clustering.
Neurocomputing, 2022

2021
DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things.
IEEE Internet Things J., 2021

ToStaGAN: An end-to-end two-stage generative adversarial network for brain tumor segmentation.
Neurocomputing, 2021

Efficient Multi-Authority Attribute-based Signcryption with Constant-Size Ciphertext.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2021

2020
A framework for hierarchical division of retinal vascular networks.
Neurocomputing, 2020

A multi-path adaptive fusion network for multimodal brain tumor segmentation.
Neurocomputing, 2020

Brain tumor segmentation with deep convolutional symmetric neural network.
Neurocomputing, 2020

Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet.
CoRR, 2020

A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
CoRR, 2020

Multi-Features Refinement and Aggregation for Medical Brain Segmentation.
IEEE Access, 2020

Attacking the Dialogue System at Smart Home.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
High-order correlation detecting in features for diagnosis of Alzheimer's disease and mild cognitive impairment.
Biomed. Signal Process. Control., 2019

How to Improve the Deep Residual Network to Segment Multi-Modal Brain Tumor Images.
IEEE Access, 2019

A Stacked Multi-Connection Simple Reducing Net for Brain Tumor Segmentation.
IEEE Access, 2019

2018
Multi-modal brain tumor image segmentation based on SDAE.
Int. J. Imaging Syst. Technol., 2018

RUN: Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection.
CoRR, 2018

Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields.
Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018

2017
Brain MR Image Classification for Alzheimer's Disease Diagnosis Based on Multifeature Fusion.
Comput. Math. Methods Medicine, 2017

2016
A deep learning-based segmentation method for brain tumor in MR images.
Proceedings of the 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2016

2015
Classification of Alzheimer's disease based on the combination of morphometric feature and texture feature.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Multimodal medical image fusion using wavelet transform and human vision system.
Proceedings of the International Conference on Audio, 2014

MRI brain image segmentation based on Kerneled FCM algorithm and using image filtering method.
Proceedings of the International Conference on Audio, 2014

An Architecture and a Platform for Recording and Replaying the Healthcare Information.
Proceedings of the Health Information Science - Third International Conference, 2014


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