Dongdong Lin

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 33

Top Topics

Canonical Correlation Analysis

Interactive Visualization

Minimum Spanning Trees

Functional Connectivity

Top Venues

Int. J. Emerg. Technol. Learn.

Publications

Weizhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis. CoRR (2024)
Qing Ni, Jinchen Ji, Ke Feng, Yongchao Zhang, Dongdong Lin, Jinde Zheng
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit. Reliab. Eng. Syst. Saf. 242 (2024)
Han Chen, Yuezun Li, Dongdong Lin, Bin Li, Junqiang Wu
Watching the BiG artifacts: Exposing DeepFake videos via Bi-granularity artifacts. Pattern Recognit. 135 (2023)
Jianmeng Ou, Dongdong Lin
Evaluation of Project-based Teaching Quality Based on SBM-DEA. Int. J. Emerg. Technol. Learn. 18 (14) (2023)
Dongdong Lin, Manman Li, Zezhou Hou, Shaozhen Chen
Conditional differential analysis on the KATAN ciphers based on deep learning. IET Inf. Secur. 17 (3) (2023)
Bo Wang, Yichi Zhang, Jie You, Maolong Yang, Zhao Han, Dongdong Lin, Maliang Liu, Ningning Zhang, Zuimin Jiang, Hui Guo, Jincheng Zhang, Liming Wang, Huiyong Hu
An Image Detection-Memory-Recognition Artificial Visual Unit Based on Dual-Gate Phototransistors. Adv. Intell. Syst. 5 (7) (2023)
Hongbing Lin, Dongdong Lin
Evaluation of Online Learners' Learning Performance Based on Fuzzy Borda Method. Int. J. Emerg. Technol. Learn. 18 (14) (2023)
Jianmeng Ou, Dongdong Lin, Zhitao Zheng
Comprehensive Evaluation of Online Experimental Teaching Quality in Colleges and Universities Based on Support Vector Machine. Int. J. Emerg. Technol. Learn. 18 (12) (2023)
Dongdong Lin, Benedetta Tondi, Bin Li, Mauro Barni
Exploiting temporal information to prevent the transferability of adversarial examples against deep fake detectors. IJCB (2022)
Dongdong Lin, Ningning Xu, Chi Yu, Runhui Geng, Xinwen Wang, Sanpeng Gong
Nonlinear Model of Vibrating Flip-Flow Screens That Considers the Effects of Screen Panels. IEEE Access 10 (2022)
Dongdong Lin, Shaozhen Chen, Manman Li, Zezhou Hou
The Construction and Application of (Related-Key) Conditional Differential Neural Distinguishers on KATAN. CANS (2022)
Dongdong Lin, Hima B. Yalamanchili, Xinmin Zhang, Nathan E. Lewis, Christina S. Alves, Joost Groot, Johnny Arnsdorf, Sara P. Bjørn, Tune Wulff, Bjørn G. Voldborg, Yizhou Zhou, Baohong Zhang
CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines. PLoS Comput. Biol. 16 (12) (2020)
Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. ISBI (2019)
Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin
Nanoscale Microscopy Images Colourisation Using Neural Networks. CoRR (2019)
Dongdong Lin, Kent Hutchison, Salvador Portillo, Victor Vegara, Jarrod M. Ellingson, Jingyu Liu, Kenneth S. Krauter, Amanda Carroll-Portillo, Vince D. Calhoun
Association between the oral microbiome and brain resting state connectivity in smokers. NeuroImage 200 (2019)
Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. EMBC (2018)
Rongtao Jiang, Vince D. Calhoun, Nianming Zuo, Dongdong Lin, Jin Li, Lingzhong Fan, Shile Qi, Hailun Sun, Zening Fu, Ming Song, Tianzi Jiang, Jing Sui
Connectome-based individualized prediction of temperament trait scores. NeuroImage 183 (2018)
Jian Fang, Chao Xu, Pascal Zille, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. IEEE Trans. Medical Imaging 37 (4) (2018)
Chengqing Li, Dongdong Lin, Bingbing Feng, Jinhu Lu, Feng Hao
Cryptanalysis of a Chaotic Image Encryption Algorithm Based on Information Entropy. IEEE Access 6 (2018)
Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. IEEE Trans. Biomed. Eng. 65 (2) (2018)
Chengqing Li, Dongdong Lin, Jinhu Lu, Feng Hao
Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography. IEEE Multim. 25 (4) (2018)
Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage 180 (Part) (2018)
Chengqing Li, Dongdong Lin, Jinhu Lu
Cryptanalyzing an Image-Scrambling Encryption Algorithm of Pixel Bits. IEEE Multim. 24 (3) (2017)
Chengqing Li, Dongdong Lin
Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography. CoRR (2017)
Hao He, Dongdong Lin, Ji-Gang Zhang, Yu-Ping Wang, Hong-Wen Deng
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network. BMC Bioinform. 18 (1) (2017)
Xing Meng, Rongtao Jiang, Dongdong Lin, Juan R. Bustillo, Thomas R. Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D. Calhoun
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage 145 (2017)
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Chao Xu, Hong-Wen Deng, Yu-Ping Wang
An integrative imputation method based on multi-omics datasets. BMC Bioinform. 17 (2016)
Wenxing Hu, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. EMBC (2016)
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data. EMBC (2016)
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
Diagnosing schizophrenia by integrating genomic and imaging data through network fusion. BIBM (2016)
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration. BIBM (2016)
Jian Fang, Dongdong Lin, S. Charles Schulz, Zongben Xu, Vince D. Calhoun, Yu-Ping Wang
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. Bioinform. 32 (22) (2016)
Chengqing Li, Dongdong Lin
Cryptanalysis of an Image Scrambling Encryption Algorithm. CoRR (2016)
Dongdong Lin, Jingyao Li, Vince D. Calhoun, Yu-Ping Wang
Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model. ISBI (2015)
Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks. BIBM (2015)
Jingyao Li, Dongdong Lin, Yu-Ping Wang
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. BIBM (2015)
Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
Correspondence between fMRI and SNP data by group sparse canonical correlation analysis. Medical Image Anal. 18 (6) (2014)
Hongbao Cao, Junbo Duan, Dongdong Lin, Yin Yao Shugart, Vince D. Calhoun, Yu-Ping Wang
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs. NeuroImage 102 (2014)
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang
Group sparse canonical correlation analysis for genomic data integration. BMC Bioinform. 14 (2013)
Dongdong Lin, Hao He, Jingyao Li, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia. BIBM (2013)
Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang
An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification. BMC Syst. Biol. 7 (S-4) (2013)
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Yu-Ping Wang
Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis. ISBI (2013)
Jingyao Li, Dongdong Lin, Yu-Ping Wang
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model with different constrains. ISBI (2013)
Hongbao Cao, Junbo Duan, Dongdong Lin, Vincent D. Calhoun, Yu-Ping Wang
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data. ISBI (2013)
Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model. BIBM (2012)
Hongbao Cao, Dongdong Lin, Junbo Duan, Yu-Ping Wang, Vince D. Calhoun
Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs. BIBM (2012)
Hongbao Cao, Junbo Duan, Dongdong Lin, Yu-Ping Wang
Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date. Int. J. Comput. Their Appl. 19 (2) (2012)
Dongdong Lin, Hongbao Cao, Yu-Ping Wang, Vince D. Calhoun
Classification of Schizophrenia Patients with Combined Analysis of SNP and fMRI Data Based on Sparse Representation. BIBM (2011)
Wenlong Tang, Hongbao Cao, Ji-Gang Zhang, Junbo Duan, Dongdong Lin, Yu-Ping Wang
Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach. BIBM Workshops (2011)
Weizhong He, Peng Zhou, Dongdong Lin, Xin Zhao, MingShi Wang
Study of the Electromagnetic Field of Transcranial Magnetic Stimulation Based on the Real Head Model. BMEI (2009)
Peng Zhou, Dongdong Lin, Weizhong He, Guohui Li, Keke Shang
Influence of Musicotherapy on Mental Status and Cognitional Function of Patient with Depression Disease. BMEI (2009)