Gavin Weiguang Ding
Gavin Weiguang Ding
Borealis AI (RBC Institute for Research)
Verified email at - Homepage
Cited by
Cited by
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer’s disease using structural MR and FDG-PET images
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg
Scientific reports 8 (1), 1-13, 2018
Theano-based large-scale visual recognition with multiple gpus
W Ding, R Wang, F Mao, G Taylor
arXiv preprint arXiv:1412.2302, 2014
Lens-based wavefront sensorless adaptive optics swept source OCT
Y Jian, S Lee, MJ Ju, M Heisler, W Ding, RJ Zawadzki, S Bonora, ...
Scientific reports 6, 27620, 2016
Optical mapping of the electrical activity of isolated adult zebrafish hearts: acute effects of temperature
E Lin, A Ribeiro, W Ding, L Hove-Madsen, MV Sarunic, MF Beg, ...
American Journal of Physiology-Regulatory, Integrative and Comparative …, 2014
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg, ...
Medical image analysis 46, 26-34, 2018
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network
D Lu, M Heisler, S Lee, GW Ding, E Navajas, MV Sarunic, MF Beg
Medical image analysis 54, 100-110, 2019
Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images
W Ding, M Young, S Bourgault, S Lee, DA Albiani, AW Kirker, ...
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch
GW Ding, L Wang, X Jin
arXiv preprint arXiv:1902.07623, 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
GW Ding, KYC Lui, X Jin, L Wang, R Huang
International Conference on Learning Representations, 2019
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
International Conference on Learning Representations, 2018
" Mental Rotation" by Optimizing Transforming Distance
W Ding, GW Taylor
arXiv preprint arXiv:1406.3010, 2014
Max-margin adversarial (mma) training: Direct input space margin maximization through adversarial training
GW Ding, Y Sharma, KYC Lui, R Huang
arXiv preprint arXiv:1812.02637, 2018
Neural network regularization via robust weight factorization
J Rudy, W Ding, DJ Im, GW Taylor
arXiv preprint arXiv:1412.6630, 2014
Adversarial robustness of pruned neural networks
L Wang, GW Ding, R Huang, Y Cao, YC Lui
Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images
D Lu, W Ding, A Merkur, MV Sarunic, MF Beg
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
On the effectiveness of low frequency perturbations
Y Sharma, GW Ding, M Brubaker
arXiv preprint arXiv:1903.00073, 2019
Systems, devices, articles, and methods for using trained robots
W Ding, JS Rudy, OS Norton, GS Rose, JS Bergstra, O Rodrigues
US Patent 10,322,506, 2019
Dimensionality reduction has quantifiable imperfections: two geometric bounds
K Lui, GW Ding, R Huang, R McCann
Advances in Neural Information Processing Systems, 8453-8463, 2018
Automatic Cycle Averaging for Denoising Approximately Periodic Spatiotemporal Signals
W Ding, E Lin, A Ribeiro, M Sarunic, G Tibbits, M Beg
IEEE Transactions on Medical Imaging, 1-1, 2014
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