Feature Representation in Convolutional Neural Networks. - Ben Athiwaratkun; Keegan Kang (CoRR, 2015)

Improving the recovery of principal components with semi-deterministic random projections. - Keegan Kang; Giles Hooker (CISS, 2016)

Random Projections with Control Variates. - Keegan Kang; Giles Hooker (ICPRAM, 2017)

Control Variates as a Variance Reduction Technique for Random Projections. - Keegan Kang; Giles Hooker (ICPRAM (Revised Selected Papers), 2017)

Using the Multivariate Normal to Improve Random Projections. - Keegan Kang (IDEAL, 2017)

Random Projections with Bayesian Priors. - Keegan Kang (NLPCC, 2017)

Improving Sign Random Projections With Additional Information. - Keegan Kang; Wong Wei Pin (ICML, 2018)

Assessing the Efficacy of Personalized Online Homework in a First-Year Engineering Multivariate Calculus Course. - Sergey Kushnarev; Keegan Kang; Shubham Goyal (TALE, 2020)

Impact of Virtual Reality on the Visualization of Partial Derivatives in a Multivariable Calculus Class. - Keegan Kang; Sergey Kushnarev; Wong Wei Pin; Omar Ortiz; Jacob Chen Shihang (IEEE Access, 2020)

Improving Random Projections With Extra Vectors to Approximate Inner Products. - Yulong Li; Zhihao Kuang; Jiang Yan Li; Keegan Kang (IEEE Access, 2020)

Improving Hashing Algorithms for Similarity Search extitvia MLE and the Control Variates Trick. - Keegan Kang; Sergey Kushnarev; Wong Wei Pin; Rameshwar Pratap; Haikal Yeo; Yijia Chen (ACML, 2021)

Control Variates for Similarity Search. - Jeremy Chew; Keegan Kang (PRCV (1), 2021)

A Personalized Online Homework System in a Freshman Engineering Linear Algebra Course. - Keegan Kang; Wong Wei Pin; Xiaogang Liu; Sergey Kushnarev; Da Yang Tan; Omar Ortiz; Shubham Goyal; Rohit Singhal (TALE, 2021)

Correlations between random projections and the bivariate normal. - Keegan Kang (Data Min. Knowl. Discov., 2021)

Improving sign-random-projection via count sketch. - Punit Pankaj Dubey; Bhisham Dev Verma; Rameshwar Pratap; Keegan Kang (UAI, 2022)