Personal Profile

Kang Tse-Lin Keegan

SUTD Faculty Fellow

Pillar / Cluster: Science

Tel: +65 6303 6600
Email: Xrrtna_xnat@fhgq.rqh.ft
Website: https://github.com/erwin4d/research_projects

Biography

I am a Faculty Fellow at SUTD.

Education

PhD at Cornell University, MMORSE at Warwick University

Research Interests

Information Retrieval, Machine Learning, Educational Pedagogy

Selected Publication

  1. Kang, K., Hooker, G.: Improving the recovery of principal components with semi- deterministic random projections. In: 2016 Annual Conference on Information Science and Systems, CISS 2016, Princeton, NJ, USA, March 16-18, 2016, pp. 596–601 (2016). DOI 10.1109/CISS.2016.7460570. URL https://doi.org/10.1109/CISS.2016.7460570
  2. Kang, K., Hooker, G.: Random projections with control variates. In: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods – Volume 1: ICPRAM,. pp. 138–147. INSTICC, ScitePress (2017)
  3. Keegan Kang. 2017. Using the Multivariate Normal to Improve Random Projections. Springer International Publishing, Cham, 397–405. https://doi.org/10.1007/978-3-319-68935-7_43
  4. “Random Projections With Bayesian Priors” – to appear in the 6th Conference on Natural Language Processing and Chinese Computing (NLPCC 2017)