Jongwon Ryu

Jongwon Ryu

Ph.D. Student · Artificial Intelligence, Chung-Ang University

Research profile · Curriculum vitae

Jongwon Ryu 류종원

Ph.D. student in Artificial Intelligence at Chung-Ang University, Seoul. Advised by Prof. Junyeong Kim.

My research interests are multimodal reasoning and image generation. My work spans language-model reasoning and physical-world modeling.

Email ↗GitHub ↗

Education

Period Degree Institution
Mar 2025 – Feb 2029 (expected) Ph.D., Artificial Intelligence Chung-Ang University
Mar 2023 – Feb 2025 M.S., Artificial Intelligence Chung-Ang University
Mar 2017 – Feb 2023 B.S., Mathematics Dankook University

Research experience

Period Role Institution Research advisor
Jul – Aug 2026 Visiting Researcher Kyoto Institute of Technology, Japan Prof. Dongeun Choi
Jul – Aug 2026 Visiting Researcher Kyoto Prefectural Institute for Northern Industry, Japan Prof. Dongeun Choi

Research projects

Period Project Collaboration / support
Apr 2026 – Dec 2029 Development of Agent Technology for Architectural Heritage Restoration Design ETRI; National Heritage Intelligent Advanced Conservation Technology Development Program; KHS (MCST)
Jan 2023 – Dec 2026 Development of Adaptively Evolving AI Technology for Strengthening Ethical Policies KAIST AIM Lab.; IITP (MSIT)
Mar – Dec 2025 LLM Technology Research for NC Program Dataset Generation Hyundai Motor Group, Manufacturing Solutions Division

Publications

* Equal contribution. Journal and conference papers are listed separately from workshop and domestic conference papers.

2026

International conferences

  1. Jongwon Ryu, Sunjae Yoon, and Junyeong Kim. “Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction.” NeurIPS 2026 (Main Track) (CORE Ranking 2026: A*). Accepted.
  2. Jongwon Ryu*, Joonhyung Park*, Jaeho Han, Yeong-Seok Kim, Hye-Rin Kim, Sunjae Yoon, and Junyeong Kim. “Language-Grounded Multi-Domain Image Translation via Semantic Difference Guidance.” EACL (Long Papers) (CORE Ranking 2026: A), pp. 6276–6288.
  3. Jisoo Yang*, Jongwon Ryu*, Minuk Ma, Trung X. Pham, and Junyeong Kim. “The Pragmatic Persona: Discovering LLM Persona Through Bridging Inference.” ICPR (CORE Ranking 2026: B), pp. 76–90.

Journal

  1. Jongwon Ryu*, Jaehoon Go*, Trung X. Pham, and Junyeong Kim. “MIST: Multi-Domain Synthetic Dataset for Rural Driving.” IEEE Access (2025 JCR IF: 4.2).

2025

Journals

  1. Jongwon Ryu, Mingi Kim, and Junyeong Kim. “Sparse MoE Students for Efficient Knowledge Distillation.” IEEE Access (2025 JCR IF: 4.2), vol. 13, pp. 187373–187382.
  2. Jongwon Ryu, Mingi Kim, and Junyeong Kim. “DYNA-SKILL: Dynamic Self-Prompting Knowledge Graphs for Improving Logical Reasoning in Language Models.” IEEE Access (2025 JCR IF: 4.2), vol. 13, pp. 188326–188334.
  3. Mingi Kim, Jongwon Ryu, and Junyeong Kim. “Improving Worst-Group Accuracy With a Filtering-Based Method.” IEEE Access (2025 JCR IF: 4.2), vol. 13, pp. 214201–214210.

International workshops

  1. Jongwon Ryu*, Jisoo Yang*, Ye-eun Cho, and Junyeong Kim. “Discovering the Latent Persona of Large Language Models via Bridging Inference.” NeurIPS Workshop on PersonaLLM.
  2. Jongwon Ryu, Mingyu Jeon, Soomin Chung, and Junyeong Kim. “Enhancing Trustworthiness of Large Language Models through Dynamic Knowledge Graph Reasoning.” NeurIPS Workshop on Responsible Foundation Models.
  3. Jongwon Ryu, Mingyu Jeon, Woojun Jung, Minuk Ma, and Junyeong Kim. “Sparse MoE Students for Efficient Knowledge Distillation.” CVPR Workshop on Humans in Human-Robot Interaction.
  4. Jongwon Ryu and Junyeong Kim. “DYNA-SKILL: Dynamic Self-Prompting Knowledge Graphs for Improving Logical Reasoning in Large Models.” AAAI Workshop on AI for Research.

Domestic conference

  1. Jongwon Ryu and Junyeong Kim. “Multimodal Learning-Based Formability Prediction of Automotive Body Parts Integrating 3D CAD Geometry and FEM Analysis Results.” IEIE Summer Conference, pp. 3807–3808.

2024

International conference

  1. Jongwon Ryu and Junyeong Kim. “The Relationship Between Embedding and Deductive Reasoning Ability on BERT.” IEEE International Conference on Consumer Electronics (ICCE), pp. 1–4.

Journal

  1. Jongwon Ryu, Jungeun Kim, and Junyeong Kim. “A Study on the Representativeness Heuristics Problem in Large Language Models.” IEEE Access (2025 JCR IF: 4.2), vol. 12, pp. 147958–147966.

2023

  1. Jongwon Ryu, Mingi Kim, and Junyeong Kim. “Comparative Study on Korean Tokenization Using fastText.” IEIE Summer Conference, pp. 2819–2822.

Updated September 2026. Publication details are based on the author's supplied CV.