Suwan Yoon

Undergraduate student at the department of AI, CAU(Chung-ang University, korea).
Research intern of the Actionable Intelligence Lab(Korea University, korea).

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About Me

I’m Suwan Yoon, an undergraduate student at Chung-Ang University and a research intern at Korea University’s Actionable Intelligence Laboratory led by Prof. Changhee Lee.

My work centers on:

Generative Models
Large Language Models
Time-Series Analysis
Healthcare AI
I also enjoy exploring emerging areas, such as Retrieval-Augmented Generation (RAG), Knowledge Distillation (KD), Optimal Transport (OT), and Vision-Language Models (VLM).

🎓 Education

Chung-Ang University — B.S. in Artificial Intelligence
📆 Mar 2022 – Feb 2026
GPA: 4.18 / 4.5 (Major: 4.27 / 4.5)
Coursework: Algorithm, Pattern Recognition, Machine Learning, Neural Network, Image/NLP/Speech Processing, etc.

💼 Experience

Research Intern — Decision Intelligence Lab @ Chung-Ang University (Seoul, Korea) 📆 Jan 2024 – Aug 2024
(Led by Prof. Changhee Lee)

Studied machine learning and deep learning (CS4780).
Researched a deep learning-based time-series forecasting model in the medical field.

Research Intern — Actionable Intelligence Lab @ Korea University (Seoul, Korea) 📆 Sep 2024 – Present
(Led by Prof. Changhee Lee)

In collaboration with ETRI, conducted research on time-series forecasting for proactive handover of mobile devices, focusing on speed-agnostic models for domain shift.
In collaboration with Severance Hospital, analyzed Lifelog data from insomnia patients.
Followed up on ML/DL papers with Prof. Changhee Lee and studied Stochastic Differential Equations with Prof. Sungwoo Park.

🧾 Publications

ToDi: Token-wise Distillation via Fine-Grained Divergence Control
📆 Oct 2025 — EMNLP 2025 (Main, Oral Presentation)
⭐ Overall Rating: 4/5, SAC: 9/10
Authors: Seongryong Jung, Suwan Yoon, DongGeon Kim, Hwanhee Lee
🔗 DOI: 10.48550/arXiv.2505.16297

Towards Speed-Agnostic Time-Series Forecasting for Proactive Handover
📆 Oct 2025 — ICTC 2025 (Oral Presentation)
Authors: Junseo Lee, _Suwan Yoon_, Changhee Lee
🧪 *TBD

IMMU: IMage to MUsic Sequence for Social Network Service
📆 Oct 2024 — DCSC 2024 (Student Paper Award, Silver Prize)
Authors: Minsung Kim, Taehwan Kim, Suwan Yoon, Kisung Lee
🧪 github

* Equal contribution.

Last updated: October 2025

Projects

IMMU SNS : Social Network Service with IMMU sequence. (flutter based)
[CCSSAA 2023 third prize]
RepHeat : The Routine timer for your daily life. (flutter based)
KYS: Keep Your Smile! FER with jetson nano. (Pruning, Quantization, Embedded AI)
Brain Tumor Classification : Simple Brain Tumor Classification with machine learning. (sklearn)

Tech Stack

| Deep learning | Data Science | Frontend | Else | |—————|—————–|———-|——–| | Python | Scikit-learn | Flutter | Git | | Pytorch | Matplotlib | Java | Github | | CUDA | Seaborn | … | C | | … | Pandas | … | … | | … | Numpy | … | … |

SUWAN YOON