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Gavin Weiguang Ding
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2020 – today
- 2021
- [j4]Da Ma, Donghuan Lu, Shuo Chen, Morgan Heisler, Setareh Dabiri, Sieun Lee, Hyunwoo Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg:
LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. Comput. Medical Imaging Graph. 94: 101988 (2021) - 2020
- [c11]Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu:
On Minimax Optimality of GANs for Robust Mean Estimation. AISTATS 2020: 4541-4551 - [c10]Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
MMA Training: Direct Input Space Margin Maximization through Adversarial Training. ICLR 2020 - [c9]Da Ma, Donghuan Lu, Morgan Heisler, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg:
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map. MIDL 2020: 493-502 - [i10]Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang:
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR abs/2011.07553 (2020)
2010 – 2019
- 2019
- [j3]Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, Eduardo Navajas, Marinko V. Sarunic, Mirza Faisal Beg:
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network. Medical Image Anal. 54: 100-110 (2019) - [c8]Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. CVPR Workshops 2019: 13-16 - [c7]Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. ICLR (Poster) 2019 - [c6]Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. IJCAI 2019: 3389-3396 - [i9]Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin:
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch. CoRR abs/1902.07623 (2019) - [i8]Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. CoRR abs/1902.08336 (2019) - [i7]Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. CoRR abs/1903.00073 (2019) - [i6]Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg:
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence. CoRR abs/1912.03418 (2019) - 2018
- [j2]Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg:
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease. Medical Image Anal. 46: 26-34 (2018) - [c5]Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) 2018 - [c4]Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann:
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. NeurIPS 2018: 8462-8472 - [i5]Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. CoRR abs/1805.03644 (2018) - [i4]Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann:
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. CoRR abs/1811.00115 (2018) - [i3]Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. CoRR abs/1812.02637 (2018) - 2017
- [c3]Donghuan Lu, Gavin Weiguang Ding, Andrew B. Merkur, Marinko V. Sarunic, Mirza Faisal Beg:
Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images. ISBI 2017: 139-142 - [i2]Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg:
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network. CoRR abs/1710.04778 (2017) - [i1]Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg:
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images. CoRR abs/1710.04782 (2017) - 2014
- [j1]Gavin Weiguang Ding, Eric Lin, Amanda Ribeiro, Marinko V. Sarunic, Glen F. Tibbits, Mirza Faisal Beg:
Automatic Cycle Averaging for Denoising Approximately Periodic Spatiotemporal Signals. IEEE Trans. Medical Imaging 33(8): 1749-1759 (2014) - 2013
- [c2]Gavin Weiguang Ding, Eric Lin, Amanda Ribeiro, Marinko V. Sarunic, Glen F. Tibbits, Mirza Faisal Beg:
On identification of sinoatrial node in zebrafish heart based on functional time series from optical mapping. EMBC 2013: 6518-6521 - [c1]Gavin Weiguang Ding, Mei Young, Serge Bourgault, Sieun Lee, David A. Albiani, Andrew W. Kirker, Farzin Forooghian, Marinko V. Sarunic, Andrew B. Merkur, Mirza Faisal Beg:
Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images. EMBC 2013: 7388-7391
Coauthor Index
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