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ORCIDDongdong Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j26]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: 109753 (2024)- [c22]Weizhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li:
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis. ACM Multimedia 2024: 3294-3302 - [i5]Weizhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li:
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis. CoRR abs/2407.10471 (2024) - [i4]Dongdong Lin, Yue Li, Benedetta Tondi, Bin Li, Mauro Barni:
An Efficient Watermarking Method for Latent Diffusion Models via Low-Rank Adaptation. CoRR abs/2410.20202 (2024) - 2023
- [j25]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) - [j24]Dongdong Lin, Manman Li, Zezhou Hou, Shaozhen Chen:
Conditional differential analysis on the KATAN ciphers based on deep learning. IET Inf. Secur. 17(3): 347-359 (2023) - [j23]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): 88-102 (2023) - [j22]Jianmeng Ou, Dongdong Lin:
Evaluation of Project-based Teaching Quality Based on SBM-DEA. Int. J. Emerg. Technol. Learn. 18(14): 138-149 (2023) - [j21]Hongbing Lin, Dongdong Lin:
Evaluation of Online Learners' Learning Performance Based on Fuzzy Borda Method. Int. J. Emerg. Technol. Learn. 18(14): 244-255 (2023) - [j20]Han Chen, Yuezun Li, Dongdong Lin, Bin Li, Junqiang Wu:
Watching the BiG artifacts: Exposing DeepFake videos via Bi-granularity artifacts. Pattern Recognit. 135: 109179 (2023) - 2022
- [j19]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: 34246-34259 (2022) - [c21]Dongdong Lin, Shaozhen Chen, Manman Li, Zezhou Hou:
The Construction and Application of (Related-Key) Conditional Differential Neural Distinguishers on KATAN. CANS 2022: 203-224 - [c20]Dongdong Lin, Benedetta Tondi, Bin Li, Mauro Barni:
Exploiting temporal information to prevent the transferability of adversarial examples against deep fake detectors. IJCB 2022: 1-8 - 2020
- [j18]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)
2010 – 2019
- 2019
- [j17]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: 121-131 (2019) - [c19]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: 418-421 - [i3]Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin:
Nanoscale Microscopy Images Colourisation Using Neural Networks. CoRR abs/1912.07964 (2019) - 2018
- [j16]Chengqing Li, Dongdong Lin, Bingbing Feng, Jinhu Lu, Feng Hao:
Cryptanalysis of a Chaotic Image Encryption Algorithm Based on Information Entropy. IEEE Access 6: 75834-75842 (2018) - [j15]Chengqing Li, Dongdong Lin, Jinhu Lu, Feng Hao:
Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography. IEEE Multim. 25(4): 46-56 (2018) - [j14]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): 632-645 (2018) - [j13]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: 366-374 (2018) - [j12]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): 390-399 (2018) - [j11]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): 860-870 (2018) - [c18]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: 4126-4129 - 2017
- [j10]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): 149:1-149:6 (2017) - [j9]Chengqing Li, Dongdong Lin, Jinhu Lu:
Cryptanalyzing an Image-Scrambling Encryption Algorithm of Pixel Bits. IEEE Multim. 24(3): 64-71 (2017) - [j8]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: 218-229 (2017) - [i2]Chengqing Li, Dongdong Lin:
Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography. CoRR abs/1711.01858 (2017) - 2016
- [j7]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): 3480-3488 (2016) - [j6]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: 247 (2016) - [c17]Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang:
Diagnosing schizophrenia by integrating genomic and imaging data through network fusion. BIBM 2016: 1307-1313 - [c16]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: 1493-1500 - [c15]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: 1447-1450 - [c14]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: 3310-3313 - [i1]Chengqing Li, Dongdong Lin:
Cryptanalysis of an Image Scrambling Encryption Algorithm. CoRR abs/1607.01642 (2016) - 2015
- [c13]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: 413-416 - [c12]Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang:
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks. BIBM 2015: 603-606 - [c11]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: 1368-1371 - 2014
- [j5]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): 891-902 (2014) - [j4]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: 220-228 (2014) - 2013
- [j3]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: 245 (2013) - [j2]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): S5 (2013) - [c10]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: 9-16 - [c9]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: 278-281 - [c8]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: 756-759 - [c7]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: 1352-1355 - 2012
- [j1]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): 131-141 (2012) - [c6]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: 1-6 - [c5]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: 1-6 - 2011
- [c4]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: 282-288 - [c3]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: 394-397
2000 – 2009
- 2009
- [c2]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: 1-5 - [c1]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: 1-4
Coauthor Index
aka: Vincent D. Calhoun
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last updated on 2024-12-02 22:28 CET by the dblp team
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