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CDT: Cascading Decision Trees for Explainable Reinforcement Learning


Nov 15, 2020
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang


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Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence


Dec 07, 2019
Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg


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On the Effectiveness of Low Frequency Perturbations


Feb 28, 2019
Yash Sharma, Gavin Weiguang Ding, Marcus Brubaker


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On the Sensitivity of Adversarial Robustness to Input Data Distributions


Feb 22, 2019
Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang

* ICLR 2019, Seventh International Conference on Learning Representations 

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advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch


Feb 20, 2019
Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin


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Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training


Dec 06, 2018
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang


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Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds


Oct 31, 2018
Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann

* Neural Information Processing Systems (NIPS 2018) 
* 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada 

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Improving GAN Training via Binarized Representation Entropy (BRE) Regularization


May 09, 2018
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang

* Published as a conference paper at the 6th International Conference on Learning Representations (ICLR 2018) 

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