
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
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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]
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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]
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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
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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