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Other IDs

Scopus Author ID: 57191663860
SciProfiles: 2666780

Countries

Singapore, United States

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Employment (3)

Bucknell University: Lewisburg, Pennsylvania, US

2022-08-01 to present | Assistant Professor (Mathematics)
Employment
Source: Self-asserted source
Keegan Kang

Singapore University of Technology and Design: Singapore, Singapore, SG

2020-05 to 2022-07-15 | Lecturer
Employment
Source: Self-asserted source
Keegan Kang

Singapore University of Technology and Design: Singapore, SG

2017-06 to 2020-05 | Faculty Fellow
Employment
Source: Self-asserted source
Keegan Kang

Education and qualifications (2)

Cornell University: Ithaca, New York, US

2012-08-15 to 2017-05-29 | PhD (Statistics)
Education
Source: Self-asserted source
Keegan Kang

University of Warwick: Coventry, West Midlands, GB

2008 to 2012 | MMORSE (Statistics)
Education
Source: Self-asserted source
Keegan Kang

Funding (2)

"Big Data" and Theoretical Calculations Aided Molecular Design of Fluorophores: from Trial and Error to Molecular Engineering

2018-07 to 2020-06 | Grant
SUTD-MIT International Design Centre (Singapore, SG)
Part of GRANT_NUMBER:

IDG31800104
Source: Self-asserted source
Keegan Kang

Improving Random Projections and LSH Schemes with Statistical Techniques

Grant
Ministry of Education - Singapore (Singapore, SG)
GRANT_NUMBER:

MOE2018-T2-2-013
Source: Self-asserted source
Keegan Kang

Works (17)

Supporting Students’ Visualization of Multivariable Calculus Partial Derivatives via Virtual Reality

Mathematics
2023-02-06 | Journal article
DOI: 10.3390/math11040831
Contributors: Kang Hao Cheong; Jacob Shihang Chen; Keegan Kang; Darren J. Yeo
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Improving sign-random-projection via count sketch

Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence
2022 | Conference paper
URI:

https://proceedings.mlr.press/v180/dubey22a.html
Contributors: Dubey, Punit Pankaj; Verma, Bhisham Dev; Pratap, Rameshwar; Kang, Keegan; Cussens, James; Zhang, Kun
Source: Self-asserted source
Keegan Kang

A Personalized Online Homework System in a Freshman Engineering Linear Algebra Course

TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
2021 | Conference paper
DOI: 10.1109/TALE52509.2021.9678890
EID:

2-s2.0-85125953667
Contributors: Kang, K.; Wong, W.P.; Liu, X.; Kushnarev, S.; Tan, D.Y.; Ortiz, O.; Goyal, S.; Singhal, R.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier
grade
Preferred source (of 2)‎

Control Variates for Similarity Search

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | Book
DOI: 10.1007/978-3-030-88004-0_38
EID:

2-s2.0-85118194432

Part of ISSN: 16113349 03029743
Contributors: Chew, J.; Kang, K.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier

Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick

Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event
2021 | Conference paper
URI:

https://proceedings.mlr.press/v157/kang21a.html
Source: Self-asserted source
Keegan Kang

Correlations between random projections and the bivariate normal

Data Mining and Knowledge Discovery
2021-07-18 | Journal article
DOI: 10.1007/s10618-021-00764-6
Contributors: Keegan Kang
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Improving B-Bit Minwise Hashing with Addition of Optimal Standard Vectors

IRC-SET 2020
2021-05 | Other
DOI: 10.1007/978-981-15-9472-4_30
Contributors: Hengyue Wang; Hsin Wei Kuo; Ryan Nathaniel Thesman; Keegan Kang
Source: Self-asserted source
Keegan Kang via Crossref Metadata Search

A General Descriptor Δ e Enables the Quantitative Development of Luminescent Materials Based on Photoinduced Electron Transfer

Journal of the American Chemical Society
2020 | Journal article
DOI: 10.1021/jacs.0c01473
EID:

2-s2.0-85083828315

Part of ISBN:

15205126 00027863
Contributors: Chi, W.; Chen, J.; Liu, W.; Wang, C.; Qi, Q.; Qiao, Q.; Tan, T.M.; Xiong, K.; Liu, X.; Kang, K. et al.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier

Impact of Virtual Reality on the Visualization of Partial Derivatives in a Multivariable Calculus Class

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.2982972
Contributors: Keegan Kang; Sergey Kushnarev; Wong Wei Pin; Omar Ortiz; Jacob Chen Shihang
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Improving Random Projections With Extra Vectors to Approximate Inner Products

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.2990422
Contributors: Yulong Li; Zhihao Kuang; Jiang Yan Li; Keegan Kang
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

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

2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
2020-12-08 | Conference paper
DOI: 10.1109/tale48869.2020.9368417
ISBN: 9781728169422
Source: Self-asserted source
Keegan Kang
grade
Preferred source (of 2)‎

Control variates as a variance reduction technique for random projections

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Book
DOI: 10.1007/978-3-319-93647-5_1
EID:

2-s2.0-85048969301
Contributors: Kang, K.; Hooker, G.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier

Improving Sign random projections with additional information

35th International Conference on Machine Learning, ICML 2018
2018 | Conference paper
EID:

2-s2.0-85057219550
Contributors: Kang, K.; Pin, W.W.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier

Random Projections with Bayesian Priors

Natural Language Processing and Chinese Computing
2018 | Other
DOI: 10.1007/978-3-319-73618-1_15
Part of ISBN: 9783319736174
Part of ISSN: 0302-9743
Contributors: Keegan Kang
Source: Self-asserted source
Keegan Kang via Crossref Metadata Search
grade
Preferred source (of 2)‎

Random projections with control variates

ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
2017 | Conference paper
EID:

2-s2.0-85034240427
Contributors: Kang, K.; Hooker, G.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier

Using the multivariate normal to improve random projections

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
DOI: 10.1007/978-3-319-68935-7_43
EID:

2-s2.0-85034215214
Contributors: Kang, K.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier

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

2016 50th Annual Conference on Information Systems and Sciences, CISS 2016
2016 | Conference paper
DOI: 10.1109/CISS.2016.7460570
EID:

2-s2.0-84992426964
Contributors: Kang, K.; Hooker, G.
Source: Self-asserted source
Keegan Kang via Scopus - Elsevier
grade
Preferred source (of 2)‎

Peer review (3 reviews for 2 publications/grants)

Review activity for Information processing letters. (2)
Review activity for Machine learning. (1)
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