Jungwon Seo

Jungwon Seo

Ph.D. Candidate in Applied Data Science

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Flexible and secure code deployment in federated learning using large language models: Prompt engineering to enhance malicious code detection

Published in 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2023

Seo, Jungwon, Nan Zhang, and Chunming Rong. "Flexible and secure code deployment in federated learning using large language models: Prompt engineering to enhance malicious code detection." In 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp. 341-349. IEEE, 2023.
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Federated AI Chat System: Tackling Tacit Knowledge Management

Published in 85th EAGE Annual Conference & Exhibition (including the Workshop Programme), 2024

Seo, J., B. Cui, and C. Rong. "Federated AI Chat System: Tackling Tacit Knowledge Management." In 85th EAGE Annual Conference & Exhibition (including the Workshop Programme), vol. 2024, no. 1, pp. 1-5. European Association of Geoscientists & Engineers, 2024.
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Federated Large Domain Model System

Published in Blockchain: Research and Applications, 2025

Rong, Chunming, Jungwon Seo, Zihan Zhao, Ferhat Ozgur Catak, Jiahui Geng, and Martin Gilje Jaatun. “Federated Large Domain Model System.” Blockchain: Research and Applications 6, no. 3 (2025): 100277. https://doi.org/10.1016/j.bcra.2025.100277.
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ProxyLLM: LLM-Driven Framework for Customer Support Through Text-Style Transfer

Published in ECML PKDD, 2025

Jo, S., Seo, J. (2026). ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer. In: Dutra, I., et al. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track. ECML PKDD 2025. Lecture Notes in Computer Science(), vol 16022. Springer, Cham. https://doi.org/10.1007/978-3-032-06129-4_28
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