Yen-Fu Luo

Graduated: Oct 2018

Degree: PhD

Yen-Fu Luo

My expertise includes Natural Language Processing, Machine Learning, and Data Visualization. My thesis: “Mining the Clinical Narrative: Mortality Prediction and Concept Normalization”.

Programming

Java Python Matlab R

Machine Learning

TensorFlow Scikit-learn

Databases

MongoDB MySQL PostgreSQL Oracle

Languages

Chinese English
Y.-F. Luo A. Rumshisky M. Gronas Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations. The 9th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. ACL-IJCNLP 2015. 
@inproceedings{luo2015catching,
title={Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations},
author={Luo, Yen-Fu and Rumshisky, Anna and Gronas, Mikhail},
booktitle={Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)},
pages={1–9},
year={2015}
}
Y.-F. Luo A. Rumshisky Interpretable Topic Features for Post-ICU Mortality Prediction. AMIA 2016. 
@inproceedings{luo_interpretable_2016,
author = “Luo, Yen-Fu and Rumshisky, Anna”,
title = “Interpretable {Topic} {Features} for {Post}-{ICU} {Mortality} {Prediction}",
booktitle = “{AMIA} 2016, {American} {Medical} {Informatics} {Association} {Annual} {Symposium}, {Chicago}, {IL}, {USA}, {November} 12-16, 2016”,
year = “2016”
}