Keegan Kang

According to our database, Keegan Kang authored at least 15 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Improving sign-random-projection via count sketch.

Punit Pankaj Dubey, Bhisham Dev Verma, Rameshwar Pratap, Keegan Kang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Correlations between random projections and the bivariate normal.

Keegan Kang

Data Min. Knowl. Discov., 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

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Control Variates for Similarity Search.

Jeremy Chew, Keegan Kang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Improving Hashing Algorithms for Similarity Search \textitvia MLE and the Control Variates Trick.

Keegan Kang, Sergey Kushnarev, Wong Wei Pin, Rameshwar Pratap, Haikal Yeo, Yijia Chen

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Improving Random Projections With Extra Vectors to Approximate Inner Products.

Yulong Li, Zhihao Kuang, Jiang Yan Li, Keegan Kang

IEEE Access, 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

Assessing the Efficacy of Personalized Online Homework in a First-Year Engineering Multivariate Calculus Course.

Sergey Kushnarev, Keegan Kang, Shubham Goyal

Proceedings of the IEEE International Conference on Teaching, 2020

2018

Improving Sign Random Projections With Additional Information.

Keegan Kang, Wong Wei Pin

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Random Projections with Bayesian Priors.

Keegan Kang

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Using the Multivariate Normal to Improve Random Projections.

Keegan Kang

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Control Variates as a Variance Reduction Technique for Random Projections.

Keegan Kang, Giles Hooker

Proceedings of the Pattern Recognition Applications and Methods, 2017

Random Projections with Control Variates.

Keegan Kang, Giles Hooker

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2016

Improving the recovery of principal components with semi-deterministic random projections.

Keegan Kang, Giles Hooker

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015

Feature Representation in Convolutional Neural Networks.

Ben Athiwaratkun, Keegan Kang

CoRR, 2015