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ORCIDYoungwon Choi
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2020 – today
- 2026
[i7]Youngwon Choi
, Jinwoo Oh, Hwayeon Kim, Hyeonyu Kim:
ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis. CoRR abs/2603.04219 (2026)- [i6]Taeyoun Kwon, Youngwon Choi, Hyeonyu Kim, Myeongkyun Cho, Junhyeok Choi, Moon Hwan Kim:
Mine-JEPA: In-Domain Self-Supervised Learning for Mine-Like Object Classification in Side-Scan Sonar. CoRR abs/2604.00383 (2026) - [i5]Donghyuk Jung, Youngwon Choi:
Analyzing Error Propagation in Korean Spoken QA with ASR-LLM Cascades. CoRR abs/2605.17443 (2026) - 2025
- [c11]Donghyuk Jung, Youngwon Choi, Hwayeon Kim:
DESAMO: A Device for Elder-Friendly Smart Homes Powered by Embedded LLM with Audio Modality. UIST Adjunct 2025: 87:1-87:3 - [i4]Youngwon Choi, Donghyuk Jung, Hwayeon Kim:
DESAMO: A Device for Elder-Friendly Smart Homes Powered by Embedded LLM with Audio Modality. CoRR abs/2508.18918 (2025) - [i3]Youngwon Choi, Jaeyoon Jung, Hyeonyu Kim, Huu-Kim Nguyen, Hwayeon Kim:
Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech data. CoRR abs/2509.15389 (2025) - 2023
- [c10]Youngwon Choi, Eunkyun Lee, Inseon Jang, Jong Won Shin:
Individual Sub-Band Estimation Approach to Bandwidth Extension and Enhancement of Coded Speech. ICASSP 2023: 1-5 - [c9]Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown:
Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. Computer-Aided Diagnosis 2023 - [c8]Siyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown:
Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function. Computer-Aided Diagnosis 2023 - [c7]Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann:
Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. NeSy 2023: 195-203 - [i2]Young-geun Kim, Kyungbok Lee, Youngwon Choi, Joong-Ho Won, Myunghee Cho Paik:
Wasserstein Geodesic Generator for Conditional Distributions. CoRR abs/2308.10145 (2023) - 2022
- [j1]Sungdong Lee, Leonard Sunwoo, Youngwon Choi, Jae Hyup Jung, Seung Chai Jung, Joong-Ho Won:
Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning. IEEE Access 10: 97879-97887 (2022) - [c6]Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown:
AI-human interactive pipeline with feedback to accelerate medical image annotation. Computer-Aided Diagnosis 2022 - [i1]Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown:
SimpleMind adds thinking to deep neural networks. CoRR abs/2212.00951 (2022) - 2021
- [c5]Youngwon Choi, Sungdong Lee, Joong-Ho Won:
Learning from Nested Data with Ornstein Auto-Encoders. ICML 2021: 1943-1952 - [c4]Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Hyun J. Grace Kim:
Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF). ISBI 2021: 1777-1780 - [c3]Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Pangyu Teng, Hyun J. Grace Kim:
An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images. Computer-Aided Diagnosis 2021
2010 – 2019
- 2019
- [c2]Youngwon Choi, Joong-Ho Won:
Ornstein Auto-Encoders. IJCAI 2019: 2172-2178 - 2016
- [c1]Youngwon Choi, Yongchan Kwon, Han-Byul Lee, Beomjoon Kim, Myunghee Cho Paik, Joong-Ho Won:
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. BrainLes@MICCAI 2016: 231-243
Coauthor Index
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