Dongdong Lin

59 papers A* 1B 2Misc 1Journal 36Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
A CycleGAN Watermarking Method for Ownership Verification.
IEEE Trans. Dependable Secur. Comput.
Dongdong Lin, Benedetta Tondi, Bin Li, Mauro Barni
2025 Misc conf
Exploiting Robust Model Watermarking Against the Model Fine-Tuning Attack via Flat Minima Aware Optimizers.
ICASSP
Dongdong Lin, Yue Li, Bin Li, Jiwu Huang
2025 J jnl
Protecting Your Voice: Temporal-aware Robust Watermarking.
CoRR
Yue Li, WeiZhi Liu, Dongdong Lin
2025 J jnl
SOLIDO: A Robust Watermarking Method for Speech Synthesis via Low-Rank Adaptation.
CoRR
Yue Li, WeiZhi Liu, Dongdong Lin
2025 J jnl
Towards Imperceptible Adversarial Defense: A Gradient-Driven Shield against Facial Manipulations.
CoRR
Yue Li, Linying Xue, Dongdong Lin, Qiushi Li, Hui Tian, Hongxia Wang
2025 J jnl
TriniMark: A Robust Generative Speech Watermarking Method for Trinity-Level Attribution.
CoRR
Yue Li, WeiZhi Liu, Dongdong Lin
2024 J jnl
An Efficient Watermarking Method for Latent Diffusion Models via Low-Rank Adaptation.
CoRR
Dongdong Lin, Yue Li, Benedetta Tondi, Bin Li, Mauro Barni
2024 J jnl
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit.
Reliab. Eng. Syst. Saf.
Qing Ni, Jinchen Ji, Ke Feng, Yongchao Zhang, Dongdong Lin, Jinde Zheng
2024 A* conf
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis.
ACM Multimedia
WeiZhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li
2024 J jnl
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis.
CoRR
WeiZhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li
2023 J jnl
An Image Detection-Memory-Recognition Artificial Visual Unit Based on Dual-Gate Phototransistors.
Adv. Intell. Syst.
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
2023 J jnl
Comprehensive Evaluation of Online Experimental Teaching Quality in Colleges and Universities Based on Support Vector Machine.
Int. J. Emerg. Technol. Learn.
Jianmeng Ou, Dongdong Lin, Zhitao Zheng
2023 J jnl
Conditional differential analysis on the KATAN ciphers based on deep learning.
IET Inf. Secur.
Dongdong Lin, ManMan Li, Zezhou Hou, Shaozhen Chen
2023 J jnl
Evaluation of Online Learners' Learning Performance Based on Fuzzy Borda Method.
Int. J. Emerg. Technol. Learn.
Hongbing Lin, Dongdong Lin
2023 J jnl
Evaluation of Project-based Teaching Quality Based on SBM-DEA.
Int. J. Emerg. Technol. Learn.
Jianmeng Ou, Dongdong Lin
2023 J jnl
Watching the BiG artifacts: Exposing DeepFake videos via Bi-granularity artifacts.
Pattern Recognit.
Han Chen, Yuezun Li, Dongdong Lin, Bin Li, Junqiang Wu
2022 B conf
Exploiting temporal information to prevent the transferability of adversarial examples against deep fake detectors.
IJCB
Dongdong Lin, Benedetta Tondi, Bin Li, Mauro Barni
2022 J jnl
Nonlinear Model of Vibrating Flip-Flow Screens That Considers the Effects of Screen Panels.
IEEE Access
Dongdong Lin, Ningning Xu, Chi Yu, Runhui Geng, Xinwen Wang, Sanpeng Gong
2022 B conf
The Construction and Application of (Related-Key) Conditional Differential Neural Distinguishers on KATAN.
CANS
Dongdong Lin, Shaozhen Chen, ManMan Li, Zezhou Hou
2020 J jnl
CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines.
PLoS Comput. Biol.
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
2019 J jnl
Association between the oral microbiome and brain resting state connectivity in smokers.
NeuroImage
Dongdong Lin, Kent Hutchison, Salvador Portillo, Victor Vegara, Jarrod M. Ellingson, Jingyu Liu, Kenneth S. Krauter, Amanda Carroll-Portillo, Vince D. Calhoun
2019 J jnl
Nanoscale Microscopy Images Colourisation Using Neural Networks.
CoRR
Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin
2019 — conf
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data.
ISBI
Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu
2018 J jnl
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia.
IEEE Trans. Biomed. Eng.
Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Connectome-based individualized prediction of temperament trait scores.
NeuroImage
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
2018 J jnl
Cryptanalysis of a Chaotic Image Encryption Algorithm Based on Information Entropy.
IEEE Access
Chengqing Li, Dongdong Lin, Bingbing Feng, Jinhu Lu, Feng Hao
2018 J jnl
Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography.
IEEE Multim.
Chengqing Li, Dongdong Lin, Jinhu Lu, Feng Hao
2018 J jnl
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.
NeuroImage
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
2018 — conf
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis.
EMBC
Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui
2018 J jnl
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation.
IEEE Trans. Medical Imaging
Jian Fang, Chao Xu, Pascal Zille, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2017 J jnl
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.
BMC Bioinform.
Hao He, Dongdong Lin, Ji-Gang Zhang, Yu-Ping Wang, Hong-Wen Deng
2017 J jnl
Cryptanalyzing an Image-Scrambling Encryption Algorithm of Pixel Bits.
IEEE Multim.
Chengqing Li, Dongdong Lin, Jinhu Lu
2017 J jnl
Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography.
CoRR
Chengqing Li, Dongdong Lin
2017 J jnl
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage
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
2016 J jnl
An integrative imputation method based on multi-omics datasets.
BMC Bioinform.
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Chao Xu, Hong-Wen Deng, Yu-Ping Wang
2016 J jnl
Cryptanalysis of an Image Scrambling Encryption Algorithm.
CoRR
Chengqing Li, Dongdong Lin
2016 — conf
Diagnosing schizophrenia by integrating genomic and imaging data through network fusion.
BIBM
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study.
EMBC
Wenxing Hu, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 J jnl
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinform.
Jian Fang, Dongdong Lin, S. Charles Schulz, Zongben Xu, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data.
EMBC
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration.
BIBM
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2015 — conf
Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model.
ISBI
Dongdong Lin, Jingyao Li, Vince D. Calhoun, Yu-Ping Wang
2015 — conf
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
Jingyao Li, Dongdong Lin, Yu-Ping Wang
2015 — conf
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks.
BIBM
Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang
2014 J jnl
Correspondence between fMRI and SNP data by group sparse canonical correlation analysis.
Medical Image Anal.
Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2014 J jnl
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.
NeuroImage
Hongbao Cao, Junbo Duan, Dongdong Lin, Yin Yao Shugart, Vince D. Calhoun, Yu-Ping Wang
2013 J jnl
An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification.
BMC Syst. Biol.
Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang
2013 — conf
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model with different constrains.
ISBI
Jingyao Li, Dongdong Lin, Yu-Ping Wang
2013 J jnl
Group sparse canonical correlation analysis for genomic data integration.
BMC Bioinform.
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang
2013 — conf
Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis.
ISBI
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Yu-Ping Wang
2013 — conf
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia.
BIBM
Dongdong Lin, Hao He, Jingyao Li, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2013 — conf
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data.
ISBI
Hongbao Cao, Junbo Duan, Dongdong Lin, Vincent D. Calhoun, Yu-Ping Wang
2012 — conf
Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs.
BIBM
Hongbao Cao, Dongdong Lin, Junbo Duan, Yu-Ping Wang, Vince D. Calhoun
2012 — conf
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model.
BIBM
Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang
2012 J jnl
Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date.
Int. J. Comput. Their Appl.
Hongbao Cao, Junbo Duan, Dongdong Lin, Yu-Ping Wang
2011 — conf
Classification of Schizophrenia Patients with Combined Analysis of SNP and fMRI Data Based on Sparse Representation.
BIBM
Dongdong Lin, Hongbao Cao, Yu-Ping Wang, Vince D. Calhoun
2011 — conf
Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach.
BIBM Workshops
Wenlong Tang, Hongbao Cao, Ji-Gang Zhang, Junbo Duan, Dongdong Lin, Yu-Ping Wang
2009 — conf
Influence of Musicotherapy on Mental Status and Cognitional Function of Patient with Depression Disease.
BMEI
Peng Zhou, Dongdong Lin, Weizhong He, Guohui Li, Keke Shang
2009 — conf
Study of the Electromagnetic Field of Transcranial Magnetic Stimulation Based on the Real Head Model.
BMEI
Weizhong He, Peng Zhou, Dongdong Lin, Xin Zhao, Mingshi Wang