Please check my Curriculum Vitae for more information!
- Graduate student @ Department of Artificial Intelligence, Chung-Ang University
- E-mail: [email protected] / [email protected]
- Personal Blog: c-juhwan.github.io
- LinkedIn: linkedin.com/in/cjuhwan99
- Research Interest: Natural Language Processing, Deep Learning
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VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks
- Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu and YoungBin Kim
- arXiv Preprint arXiv:2407.19795
- Paper
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UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
- Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun and YoungBin Kim
- arXiv Preprint arXiv:2405.01022
- Paper
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Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation
- Juhwan Choi, Jungmin Yun, Kyohoon Jin and YoungBin Kim
- arXiv Preprint arxiv:2404.09682
- Paper
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Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks
- Seunguk Yu, Juhwan Choi and YoungBin Kim
- NAACL 2024 Findings
- Paper
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Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
- Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song and YoungBin Kim
- LREC-COLING 2024
- Paper
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Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning
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Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion
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AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes
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GPTs Are Multilingual Annotators for Sequence Generation Tasks
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SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
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Generative Data Augmentation via Wasserstein Autoencoder for Text Classification
- κΈ°κ³λ²μμμ ν¨μ¨μ μΈ λλ©μΈ μ μμ μν μ μν λ°μ΄ν°μ€ν μ΄ λ¦¬μ¬μ΄μ§
- Jinhee Jang, Juhwan Choi, Jungmin Yun and YoungBin Kim
- λνμ μ곡νν 2024λ λ νκ³μ’ ν©νμ λν
- Paper
- κ°μ κ°μ κ΄κ³λ₯Ό κ³ λ €ν μ§λ λμ‘° νμ΅ κΈ°λ° κ°μ μΈμ
- Dongje Yoo, Kyunghoon Jeon, Juhwan Choi and YoungBin Kim
- λνμ μ곡νν 2023λ λ νκ³μ’ ν©νμ λν
- Paper
- KITE: νκ΅μ΄ κ³ μ μ€νμλ₯Ό νμ©ν ν
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- Seunguk Yu, Juhwan Choi, Heejae Suh, Kyohoon Jin and YoungBin Kim
- νκ΅HCIνν 2023λ λ νμ λν
- Paper
- λ―μ λ°μ΄ν°λ₯Ό νμ©ν κ³Όμμ λ’° μν ν
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- Junho Lee, Sahngmin Song, Juhwan Choi, Juhyoung Park, Kyohoon Jin and YoungBin Kim
- νκ΅HCIνν 2023λ λ νμ λν
- Paper | Presentation
- Variational Autoencoder κΈ°λ° μλ―Έ 보쑴 μμ°μ΄ λ°μ΄ν° μ¦κ° κΈ°λ²
- Juhwan Choi, Junho Lee, Kyohoon Jin, Yehoon Jang, Soojin Jang and YoungBin Kim
- λνμ μ곡νν 2022λ λ νκ³μ’ ν©νμ λν
- Paper | Presentation
- Native: Korean
- Fluent: English
- Familiar: Python
- Experienced: MATLAB | C | C++
- Familiar: Pytorch | HuggingFace Transformers | NumPy | Pandas
- Familiar: Git | CLI