Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. - Yanshuai Cao; Gavin Weiguang Ding; Kry Yik-Chau Lui; Ruitong Huang (ICLR (Poster), 2018)

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. - Kry Yik Chau Lui; Gavin Weiguang Ding; Ruitong Huang; Robert J. McCann (NeurIPS, 2018)

Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. - Gavin Weiguang Ding; Yash Sharma 001; Kry Yik Chau Lui; Ruitong Huang (CoRR, 2018)

On the Sensitivity of Adversarial Robustness to Input Data Distributions. - Gavin Weiguang Ding; Kry Yik Chau Lui; Xiaomeng Jin; Luyu Wang; Ruitong Huang (CVPR Workshops, 2019)

MMA Training: Direct Input Space Margin Maximization through Adversarial Training. - Gavin Weiguang Ding; Yash Sharma 001; Kry Yik Chau Lui; Ruitong Huang (ICLR, 2020)

Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. - Yue Gao; Kry Yik Chau Lui; Pablo Hernandez-Leal (CoRR, 2021)

Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection. - Sicong Huang 001; Jiawei He; Kry Yik Chau Lui (CoRR, 2024)

DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis. - Chandramouli Shama Sastry; Mahdi Gilany; Kry Yik-Chau Lui; Martin Magill; Alexander Pashevich (Trans. Mach. Learn. Res., 2025)