Massively parallelized support vector machines based on GPU-accelerated multiplicative updates. - Connie Khor Li Kou; Chao-Hui Huang (CIDM, 2014)

Distribution Regression Network. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng (CoRR, 2018)

An Efficient Network for Predicting Time-Varying Distributions. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng; Jorge Sanz (CoRR, 2018)

Fence GAN: Towards Better Anomaly Detection. - Cuong Phuc Ngo; Amadeus Aristo Winarto; Connie Khor Li Kou; Sojeong Park; Farhan Akram; Hwee Kuan Lee (ICTAI, 2019)

Enhancing Transformation-based Defenses using a Distribution Classifier. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng; Ee-Chien Chang (CoRR, 2019)

A compact network learning model for distribution regression. - Connie Khor Li Kou; Hwee Kuan Lee; Teck Khim Ng (Neural Networks, 2019)

Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. - Connie Kou; Hwee Kuan Lee; Ee-Chien Chang; Teck Khim Ng (ICLR, 2020)

Theoretical and experimental analysis on the generalizability of distribution regression network. - Connie Khor Li Kou; Hwee Kuan Lee; Teck Khim Ng; Jorge Sanz (Neurocomputing, 2020)

MMBench: The Match Making Benchmark. - Yongsheng Liu; Yanxing Qi; Jiangwei Zhang; Connie Kou; Qiaolin Chen (WSDM, 2023)