Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network.

C Kou, HK Lee, TK Ng, J Sanz

Neurocomputing 2020

[arXiv][paper]

Enhancing Transformation-based Defenses Against Adversarial Attacks with a Distribution Classifier.

C Kou, HK Lee, TK Ng, EC Chang.

International Conference on Learning Representations, ICLR 2020

[arXiv][paper]

Fence GAN: Towards Better Anomaly Detection.

CP Ngo, AA Winarto, C Kou, SJ Park, F Akram, HK Lee.

ICTAI 2019

[arXiv][Github]

A Compact Network Learning Model for Distribution Regression

C Kou, HK Lee, TK Ng.

Neural Networks 110 (2019): 199-212.

[arXiv] [paper]

Massively Parallelized Support Vector Machines based on GPU-Accelerated Multiplicative Updates

C Kou, CH Huang.

IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2014.

[paper]