Jihyun Park    

4202 Donald Bren Hall
University of California, Irvine

jihyunp at ics dot uci dot edu

About Me
Hi! I am a Ph.D. candidate in the Department of Computer Science at University of California, Irvine.
My advisor is Padhraic Smyth and I am part of the UCI Data Lab. I received a M.S. degree at Columbia University in New York, and a B.S. degree at Ewha Womans University in Seoul, Korea, both in Electrical Engineering. I am also either an ISFP or an INFP, or someone in between :P

Research Interests
Applications of Machine Learning & Statistical Modeling with focus on text analysis and sequential models, including recurrent neural networks and clickstream analysis. Also has experience in text-to-speech (TTS) and speech recognition (ASR).

Jihyun Park et al. Detecting Conversation Topics in Primary Care Office Visits from Transcripts of Patient-Provider Interactions
Journal of the American Medical Informatics Association (JAMIA), 2019
[Code] [Paper]

Jihyun Park, Kexin Zhao, Kainan Peng, and Wei Ping
Multi-speaker End-to-end Speech Synthesis”, 2019

Fernando Rodriguez, Renzhe Yu, Jihyun Park, Mariela Janet Rivas, Mark Warschauer, and Brian K. Sato
Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses
Nineth International Learning Analytics and Knowledge Conference (LAK19), Tempe, AZ, Mar 2019

Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth, and Mark Warschauer
Understanding Student Procrastination via Mixture Models
Eleventh International Conference on Educational Data Mining (EDM 2018), Buffalo, NY, July 2018
[Slides] [Code] [Paper] - Best Paper Award

Jihyun Park, Kameryn Denaro, Fernando Rodriguez, Padhraic Smyth, and Mark Warschauer
Detecting Changes in Student Behavior from Clickstream Data
Seventh International Learning Analytics and Knowledge Conference (LAK17), Vancouver, BC, Canada, Mar 2017
[Slides] [Code] [Paper] - Honorable Mention

Jihyun Park, Meg Blume-Kohout, Ralf Krestel, Eric Nalisnick, and Padhraic Smyth
Analyzing NIH Funding Patterns over Time with Statistical Text Analysis
AAAI Workshop on Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Phoenix, AZ, Feb 2016
[Slides] [Code] [Paper]

Donald Bren School of Information & Computer Sciences, UC Irvine
Center for Machine Learning and Intelligent Systems, UC Irvine
UCI Machine Learning Repository
The DataLab at UC Irvine

Copyright © 2016-2019 Jihyun Park