Hao-Ren Yao (Howard)
Hi, I am a Computer Scientist at the National Institutes of Health (NIH) and a Collaborator with Maxeler Technologies, UK. I did my PhD with Ophir Frieder in Computer Science from Georgetown University in 2021. My research focuses on health informatics and predictive modeling in medicine. Before coming to the US, I was a former member of ROC Marine Corps. For further information, please take a look at my CV, visit my LinkedIn and Google Scholar.
Contact:
Email: hao-ren@ir.cs.georgetown.edu
Employment
Computer Scientist
June 2021 - Present
Health AI Consultant
Jan 2020 - Present
Research Assistant
Aug 2016 - May 2021
Medical Research Internship
2016 - 2019 summers
Education
PhD in Computer Science
2015 - 2021
BS in Information Management
2010 - 2014
Research Interests
Health informatics (Interpretable machine learning model in medicine)
Large-Scale data analytics on medical health data
Data mining and machine learning in medicine
Publications
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
Hao-Ren Yao, Nairen Cao, Katina Russell, Der-Chen Chang, Ophir Frieder, and Jeremy T. Fineman
ACM Transactions on Computing for Healthcare (HEALTH) 2024
Heat kernels on unit spheres and applications to graph kernels
Der-Chen Chang, Ophir Frieder, Chi-Feng Hung, and Hao-Ren Yao
Journal of Nonlinear and Variational Analysis 2023 (SCI Q1 IF 2.175)
A. Anshika, Debdas Ghosh, Radko Mesiar, Hao-Ren Yao, and Ram Surat Chauhan
Information Sciences 2023 (SCI Q1 IF 8.233)
Clinical Aligned Interpretable Graph-Based Modeling for Intelligent System in Predictive Medicine
Hao-Ren Yao
Georgetown University, PhD dissertation
The analysis from nonlinear distance metric to kernel-based prescription prediction system
Der-Chen Chang, Ophir Frieder, Chi-Feng Hung, and Hao-Ren Yao
Journal of Nonlinear and Variational Analysis 2021 (SCI Q1 IF 2.175)
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
Hao-Ren Yao, Der-Chen Chang, Ophir Frieder, Wendy Huang, I-Chia Liang and Chi-Feng Hung
ACM-BCB 2020
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection
Tong Xiang*, Sajad Sotudeh*, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder
* equal contribution
SemEval @ COLING 2020
Hate speech detection: Challenges and solutions
Sean MacAvaney, Hao-Ren Yao, Eugene Yang, Katina Russell, Nazli Goharian, Ophir Frieder
PLoS ONE 2019 (SCI Q1 IF 3.24)
Multiple Graph Kernel Fusion Prediction of Drug Prescription
Hao-Ren Yao, Der-Chen Chang, Ophir Frieder, Wendy Huang, and Tian-Shyug Lee
ACM-BCB 2019
Graph Kernel Prediction of Drug Prescription
Hao-Ren Yao, Der-Chen Chang, Ophir Frieder, Wendy Huang, and Tian-Shyug Lee
IEEE-BHI 2019 (Oral presentation acceptance rate 11%)
On Bochner's theorem and its application to graph kernels
Der-Chen Chang, Ophir Frieder, and Hao-Ren Yao
Journal of Nonlinear and Convex Analysis 2018 (SCI Q2 IF 1.075)
Topic Participation Algorithm for Social Search Engine Based on Facebook Dataset
Hao-Ren Yao and I-Hsien Ting
MISNC 2014
Patents and License:
Method and system for assessing drug efficacy using multiple graph kernel fusion
(Co-Inventor: Ophir Frieder and Der-Chen Chang)
Assignee: Georgetown University
U.S. Patent #11410763, August 9, 2022
Method and System for Assessing Drug Efficacy Using Multiple Graph Kernel Fusion
(Co-Inventor: Ophir Frieder and Der-Chen Chang)
Assignee: Georgetown University
U.S. Patent #11238966, February 1, 2022
Explainable AI-driven prescription prediction technologies
Maxeler Technologies, UK
License announced on January 2020
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
(Co-Inventor: Ophir Frieder and Der-Chen Chang)
Assignee: Georgetown University
U.S. Pending provisional application #63/042,676, filed on June 23, 2020
Multiple Graph Kernel Fusion Prediction of Drug Prescription
(Co-Inventor: Ophir Frieder and Der-Chen Chang)
Assignee: Georgetown University
U.S. Pending provisional application #62/930/072, filed on November 4, 2019
Honors and Awards
NIH Postdoctoral Intramural Research Training Awards (IRTAs), 2021
National Science Foundation (NSF) Student Travel Award, IEEE BHI-BSN, 2019
Presidential Award, National University of Kaohsiung, 2014
Excellent Graduate, National University of Kaohsiung, 2014
Valedictorian, National University of Kaohsiung, 2014
Second Place, South Taiwanese Student Creativity Competition, 2013
Second Place, Graduation Project Competition, National University of Kaohsiung, 2013
Second Place, International ICT Innovative Services Contest, 2013
Speaker, Trends in Social Network Research Taipei Workshop, Academia Sinica, 2013
First Place, Social Network Analysis Competition, National University of Kaohsiung, 2013
College Student Research Training Fellowship, ROC National Science Council, 2013