Yi Ding

According to our database, Yi Ding authored at least 38 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition.

Tianming Zhuang, Zhen Qin, Yi Ding, Fuhu Deng, Leduo Chen, Zhiguang Qin, Kim-Kwang Raymond Choo

IEEE Trans. Artif. Intell., April, 2024

A cascaded framework with cross-modality transfer learning for whole heart segmentation.

Yi Ding, Dan Mu, Jiaqi Zhang, Zhen Qin, Li You, Zhiguang Qin, Yingkun Guo

Pattern Recognit., March, 2024

MFNet:Real-Time Motion Focus Network for Video Frame Interpolation.

Guosong Zhu, Zhen Qin, Yi Ding, Yao Liu, Zhiguang Qin

IEEE Trans. Multim., 2024

Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network.

Yi Ding, Zi Wang, Zhen Qin, Erqiang Zhou, Guobin Zhu, Zhiguang Qin, Kim-Kwang Raymond Choo

IEEE Trans. Inf. Forensics Secur., 2024

2023

FastNet: A Lightweight Convolutional Neural Network for Tumors Fast Identification in Mobile-Computer-Assisted Devices.

Peng Xiao, Zhen Qin, Dajiang Chen, Ning Zhang, Yi Ding, Fuhu Deng, Zhiguang Qin, Minghui Pang

IEEE Internet Things J., June, 2023

Interpreting Universal Adversarial Example Attacks on Image Classification Models.

Yi Ding, Fuyuan Tan, Ji Geng, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin

IEEE Trans. Dependable Secur. Comput., 2023

RLSegNet: An Medical Image Segmentation Network Based on Reinforcement Learning.

Yi Ding, Xue Qin, Mingfeng Zhang, Ji Geng, Dajiang Chen, Fuhu Deng, Chunhe Song

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A survey of identity recognition via data fusion and feature learning.

Zhen Qin, Pengbiao Zhao, Tianming Zhuang, Fuhu Deng, Yi Ding, Dajiang Chen

Inf. Fusion, 2023

Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation.

Yuxuan Jiang, Yi Ding, Guobin Zhu, Zhen Qin, Minghui Pang, Mingsheng Cao

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.

Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin

IEEE Trans. Neural Networks Learn. Syst., 2022

Adversarial Sample Attack and Defense Method for Encrypted Traffic Data.

Yi Ding, Guiqin Zhu, Dajiang Chen, Xue Qin, Mingsheng Cao, Zhiguang Qin

IEEE Trans. Intell. Transp. Syst., 2022

MVFusFra: A Multi-View Dynamic Fusion Framework for Multimodal Brain Tumor Segmentation.

Yi Ding, Wei Zheng, Ji Geng, Zhen Qin, Kim-Kwang Raymond Choo, Zhiguang Qin, Xiaolin Hou

IEEE J. Biomed. Health Informatics, 2022

MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images.

Yi Ding, Qiqi Yang, Yiqian Wang, Dajiang Chen, Zhiguang Qin, Jian Zhang

Medical Image Anal., 2022

Facial expression recognition via coarse-grained and fine-grained feature representation.

Adu Asare Baffour, Zhen Qin, Guobin Zhu, Yi Ding, Zhiguang Qin

J. Intell. Fuzzy Syst., 2022

Segmentation mask and feature similarity loss guided GAN for object-oriented image-to-image translation.

Zhen Qin, Qingya Chen, Yi Ding, Tianming Zhuang, Zhiguang Qin, Kim-Kwang Raymond Choo

Inf. Process. Manag., 2022

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

Adu Asare Baffour, Zhen Qin, Ji Geng, Yi Ding, Fuhu Deng, Zhiguang Qin

Neurocomputing, 2022

2021

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

Yi Ding, Guozheng Wu, Dajiang Chen, Ning Zhang, Linpeng Gong, Mingsheng Cao, Zhiguang Qin

IEEE Internet Things J., 2021

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

Yi Ding, Chao Zhang, Mingsheng Cao, Yilei Wang, Dajiang Chen, Ning Zhang, Zhiguang Qin

Neurocomputing, 2021

Efficient Multi-Authority Attribute-based Signcryption with Constant-Size Ciphertext.

Yang Zhao, Ankang Ruan, Guohang Dan, Jicheng Huang, Yi Ding

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2021

2020

A framework for hierarchical division of retinal vascular networks.

Linfang Yu, Zhen Qin, Tianming Zhuang, Yi Ding, Zhiguang Qin, Kim-Kwang Raymond Choo

Neurocomputing, 2020

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

Yi Ding, Linpeng Gong, Mingfeng Zhang, Chang Li, Zhiguang Qin

Neurocomputing, 2020

Brain tumor segmentation with deep convolutional symmetric neural network.

Hao Chen, Zhiguang Qin, Yi Ding, Tian Lan, Zhen Qin

Neurocomputing, 2020

Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet.

Yi Ding, Qiqi Yang, Guozheng Wu, Jian Zhang, Zhiguang Qin

CoRR, 2020

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

Yi Ding, Wei Zheng, Guozheng Wu, Ji Geng, Mingsheng Cao, Zhiguang Qin

CoRR, 2020

Multi-Features Refinement and Aggregation for Medical Brain Segmentation.

Dongyuan Wu, Yi Ding, Mingfeng Zhang, Qiqi Yang, Zhiguang Qin

IEEE Access, 2020

Attacking the Dialogue System at Smart Home.

Erqiang Deng, Zhen Qin, Meng Li, Yi Ding, Zhiguang Qin

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.

Yi Ding, Chuanji Luo, Chang Li, Tian Lan, Zhiguang Qin

Biomed. Signal Process. Control., 2019

How to Improve the Deep Residual Network to Segment Multi-Modal Brain Tumor Images.

Yi Ding, Chang Li, Qiqi Yang, Zhen Qin, Zhiguang Qin

IEEE Access, 2019

A Stacked Multi-Connection Simple Reducing Net for Brain Tumor Segmentation.

Yi Ding, Fujuan Chen, Yang Zhao, Zhixing Wu, Chao Zhang, Dongyuan Wu

IEEE Access, 2019

2018

Multi-modal brain tumor image segmentation based on SDAE.

Yi Ding, Rongfeng Dong, Tian Lan, Xuerui Li, Guangyu Shen, Hao Chen, Zhiguang Qin

Int. J. Imaging Syst. Technol., 2018

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

Tian Lan, Yuanyuan Li, Jonah Kimani Murugi, Yi Ding, Zhiguang Qin

CoRR, 2018

Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields.

Guangyu Shen, Yi Ding, Tian Lan, Hao Chen, Zhiguang Qin

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.

Zhe Xiao, Yi Ding, Tian Lan, Cong Zhang, Chuanji Luo, Zhiguang Qin

Comput. Math. Methods Medicine, 2017

2016

A deep learning-based segmentation method for brain tumor in MR images.

Zhe Xiao, Ruohan Huang, Yi Ding, Tian Lan, Rongfeng Dong, Zhiguang Qin, Xinjie Zhang, Wei Wang

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.

Yi Ding, Cong Zhang, Tian Lan, Zhiguang Qin, Xinjie Zhang, Wei Wang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Multimodal medical image fusion using wavelet transform and human vision system.

Tian Lan, Zhe Xiao, Yi Li, Yi Ding, Zhiguang Qin

Proceedings of the International Conference on Audio, 2014

MRI brain image segmentation based on Kerneled FCM algorithm and using image filtering method.

Tian Lan, Zhe Xiao, Changsong Hu, Yi Ding, Zhiguang Qin

Proceedings of the International Conference on Audio, 2014

An Architecture and a Platform for Recording and Replaying the Healthcare Information.

Yi Ding, Ji Geng, Zhe Xiao, Zhiguang Qin

Proceedings of the Health Information Science - Third International Conference, 2014