Machine Learning
Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu, On Minimax Optimality of GANs for Robust Mean Estimation, International Conference on Artificial Intelligence and Statistics (AISTATS) 2020. pdf, code
Gavin Weiguang Ding , Yash Sharma, Kry Yik Chau Lui, Ruitong Huang, MMA Training: Direct Input Space Margin Maximization through Adversarial Training, International Conference on Learning Representations (ICLR) 2020. OpenReview, pdf, code
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker, On the Effectiveness of Low Frequency Perturbations, International Joint Conference on Artificial Intelligence (IJCAI) 2019. preprint pdf
Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin, AdverTorch v0.1: An Adversarial Robustness Toolbox based on PyTorch, presented at the PyTorch Developer Conference 2019. preprint pdf, code (Technical report for the AdverTorch toolbox, which is part of the PyTorch ecosystem)
Gavin Weiguang Ding, Kry Yik-Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang, On the Sensitivity of Adversarial Robustness to Input Data Distributions, International Conference on Learning Representations (ICLR) 2019. OpenReview, pdf
Kry Yik-Chau Lui, Gavin Weiguang Ding , Ruitong Huang, Robert J. McCann, Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds, Advances in Neural Information Processing Systems (NeurIPS) 2018 webpage, pdf
Yanshuai Cao, Gavin Weiguang Ding , Kry Yik-Chau Lui, Ruitong Huang, Improving GAN Training via Binarized Representation Entropy (BRE) Regularization, International Conference on Learning Representations (ICLR) 2018. OpenReview, pdf
Luyu Wang, Gavin Weiguang Ding, Ruitong Huang, Yanshuai Cao, Yik Chau Lui, Adversarial Robustness of Pruned Neural Networks, 2018. OpenReview, pdf
Weiguang Ding and Graham Taylor, Automatic moth detection from trap images for pest management, Computers and Electronics in Agriculture, 2016, pp. 17-28. journal webpage, preprint pdf
Jan Rudy, Weiguang Ding, Daniel Jiwoong Im, and Graham W. Taylor, Neural Network Regularization via Robust Weight Factorization, arXiv preprint. pdf
Weiguang Ding, Ruoyan Wang, Fei Mao and Graham W. Taylor, Theano-based Large-Scale Visual Recognition with Multiple GPUs, ICLR workshop, 2015. pdf, code
Weiguang Ding, and Graham W. Taylor, “Mental Rotation” by Optimizing Transforming Distance, NIPS Deep Learning Workshop, 2014. pdf
Medical Image Analysis
Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, and Mirza Faisal Beg, Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence, arXiv preprint. pdf
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 Analysis, 2019. 1st place winner of MICCAI-RETOUCH challenge, 2017. journal webpage, preprint pdf
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, Scientific Reports, 2018. journal webpage, preprint pdf
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 Analysis, 2018. journal webpage
Donghuan Lu, Weiguang Ding, Andrew B. Merkur, Marinko V. Sarunic, and Mirza Faisal Beg, Multiple Instance Learning for Age-Related Macular Degeneration Diagnosis in Optical Coherence Tomography Images, IEEE International Symposium on Biomedical Imaging (ISBI), 2017. webpage
Yifan Jian, Sujin Lee, Myeong Jin Ju, Morgan Heisler, Weiguang Ding, Robert J. Zawadzki, Stefano Bonora and Marinko V. Sarunic, Lens-based wavefront sensorless adaptive optics swept source OCT, Scientific reports, 2016. journal webpage, pdf
Weiguang Ding, Eric Lin, Amanda Ribeiro, Marinko Sarunic, Glen F. Tibbits, and Mirza Faisal Beg, Automatic Cycle Averaging for Denoising Approximately Periodic Spatiotemporal Signals, IEEE Transactions on Medical Imaging (TMI), 2014. journal webpage
Eric Lin, Amanda Ribeiro, Weiguang Ding, Leif Hove-Madsen, Marinko Sarunic, Glen F. Tibbits, and Mirza Faisal Beg, Optical mapping of the electrical activity of isolated adult zebrafish hearts: acute effects of temperature, American Journal of Physiology - Regulatory, Integrative and Comparative Physiology (AJP-REGU), 2014. journal webpage
Weiguang Ding, Eric Lin, Amanda Ribeiro, Marinko Sarunic, Glen F. Tibbits, and Mirza Faisal Beg, On Identification of Sinoatrial Node in Zebrafish Heart Based on Functional Time Series from Optical Mapping, 35th annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013. webpage
Weiguang Ding, Mei Young, Serge Bourgault, Sieun Lee, David A. Albiani, Andrew W. Kirker, Farzin Forooghian, Marinko Sarunic, Andrew B. Merkur, and Mirza Faisal Beg, Automatic Detection of Subretinal Fluid and Sub-Retinal Pigment Epithelium Fluid in Optical Coherence Tomography Images, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013. webpage
Thesis and course projects
Master Thesis: Identification of Pacemaking Region in Zebrafish Heart from Optical Mapping Data Simon Fraser University, April 2013
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Course project: Multiple-Layer Neural Network Applied to Phase Gradient Recovery from Fringe Pattern CMPT 726 Machine Learning, December 2011
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Course project: Blastomere Detection of Cleavage Stage Human Embryo ENSC 895 Biomedical Image Processing, April 2011
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