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Kry Yik Chau Lui

Kry Yik-Chau Lui

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affiliation: Borealis AI, Canada

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2020 – today

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2021
[i5]
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  - journals/corr/abs-2107-08083
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Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal:
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. CoRR abs/2107.08083 (2021)
2020
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  - conf/iclr/DingSLH20
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Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
MMA Training: Direct Input Space Margin Maximization through Adversarial Training. ICLR 2020

2010 – 2019

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2019
[c4]
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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
[c3]
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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
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  - journals/corr/abs-1902-08336
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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)
2018
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Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) 2018
[c1]
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  - conf/nips/LuiDHM18
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Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann:
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. NeurIPS 2018: 8462-8472
[i3]
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  - journals/corr/abs-1805-03644
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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)
[i2]
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  - journals/corr/abs-1811-00115
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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)
[i1]
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  - journals/corr/abs-1812-02637
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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)

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