Dongdong Lin

Orcid: 0000-0002-4049-4557

According to our database1, Dongdong Lin authored at least 50 papers between 2009 and 2024.

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Bibliography

2024
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit.
Reliab. Eng. Syst. Saf., February, 2024

2023
Evaluation of Project-based Teaching Quality Based on SBM-DEA.
Int. J. Emerg. Technol. Learn., July, 2023

Evaluation of Online Learners' Learning Performance Based on Fuzzy Borda Method.
Int. J. Emerg. Technol. Learn., July, 2023

An Image Detection-Memory-Recognition Artificial Visual Unit Based on Dual-Gate Phototransistors.
Adv. Intell. Syst., July, 2023

Comprehensive Evaluation of Online Experimental Teaching Quality in Colleges and Universities Based on Support Vector Machine.
Int. J. Emerg. Technol. Learn., June, 2023

Conditional differential analysis on the KATAN ciphers based on deep learning.
IET Inf. Secur., May, 2023

Watching the BiG artifacts: Exposing DeepFake videos via Bi-granularity artifacts.
Pattern Recognit., 2023

2022
Nonlinear Model of Vibrating Flip-Flow Screens That Considers the Effects of Screen Panels.
IEEE Access, 2022

Exploiting temporal information to prevent the transferability of adversarial examples against deep fake detectors.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

The Construction and Application of (Related-Key) Conditional Differential Neural Distinguishers on KATAN.
Proceedings of the Cryptology and Network Security - 21st International Conference, 2022

2020
CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines.
PLoS Comput. Biol., 2020

2019
Association between the oral microbiome and brain resting state connectivity in smokers.
NeuroImage, 2019

Nanoscale Microscopy Images Colourisation Using Neural Networks.
CoRR, 2019

Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation.
IEEE Trans. Medical Imaging, 2018

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia.
IEEE Trans. Biomed. Eng., 2018

Connectome-based individualized prediction of temperament trait scores.
NeuroImage, 2018

Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.
NeuroImage, 2018

Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography.
IEEE Multim., 2018

Cryptanalysis of a Chaotic Image Encryption Algorithm Based on Information Entropy.
IEEE Access, 2018

Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage, 2017

Cryptanalyzing an Image-Scrambling Encryption Algorithm of Pixel Bits.
IEEE Multim., 2017

Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography.
CoRR, 2017

Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.
BMC Bioinform., 2017

2016
Cryptanalysis of an Image Scrambling Encryption Algorithm.
CoRR, 2016

An integrative imputation method based on multi-omics datasets.
BMC Bioinform., 2016

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinform., 2016

Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Diagnosing schizophrenia by integrating genomic and imaging data through network fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Segmentation of Multicolor Fluorescence In-Situ Hybridization (M-FISH) image using an improved Fuzzy C-means clustering algorithm while incorporating both spatial and spectral information.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.
NeuroImage, 2014

Correspondence between fMRI and SNP data by group sparse canonical correlation analysis.
Medical Image Anal., 2014

2013
An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification.
BMC Syst. Biol., 2013

Group sparse canonical correlation analysis for genomic data integration.
BMC Bioinform., 2013

Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model with different constrains.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Network-based investigation of genetic modules associated with functional brain networks in schizophrenia.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date.
Int. J. Comput. Their Appl., 2012

Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Classification of Schizophrenia Patients with Combined Analysis of SNP and fMRI Data Based on Sparse Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2009
Influence of Musicotherapy on Mental Status and Cognitional Function of Patient with Depression Disease.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

Study of the Electromagnetic Field of Transcranial Magnetic Stimulation Based on the Real Head Model.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009


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