I'm a M.S student at KAIST Graduate School of AI, advised by Professor Edward Choi.

I'm interested in Reliability, NLP and healthcare. I hope to make a reliable model that can be used safely in real world. Feel free to contact me!

[Google Scholar] [Github] [CV]

  

Work Experience

[Feb - Aug 2022] NAVER Corporation - Papago Team, advised by Cheonbok Park

 

Publication

2023

• Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi. Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. In Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023

2022

• Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park. Specializing Multi-domain NMT via Penalizing Low Mutual Information. In Proc. of Empirical Methods in Natural Language Processing (EMNLP) 2022 [Poster]

• Kyunghoon Hur∗, Jiyoung Lee∗, Jungwoo Oh, Wesley Price, Young-Hak Kim, Edward Choi. Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. In Proc. of Conference on Health, Inference, and Learning (CHIL) 2022 [Code]

• Radhika Dua, Jiyoung Lee, Joon-myung Kwon, Edward Choi. Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels. In International Workshop on Pattern Recognition in Healthcare Analytics (PRHA) 2022

   

2021

• Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi. Conditional Generation of Periodic Signals with Fourier-Based Decoder. In Deep Generative Models and Downstream Applications Workshop at NeurIPS 2021 [Code]

   

2019

• Joungmin Choi, Jiyoung Lee, Jieun Kim, Jihyun Kim, Heejoon Chae, Breast Cancer Subtype Classification utilizing Multi-Omics Data Integration based on Neural Network. In Journal of Korean Institute of Information Scientists and Engineers (JOK), VOL 46 NO. 02 PP. 0476 0478 2019. 12