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Dongdong Lin
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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 - [i4]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) - 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 2024-11-07 20:31 CET by the dblp team
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