About Me

데이터로 가치를 만드는 Data Scientist, 박소영입니다.

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I’m SoYoung, a data scientist dedicated to data-driven, data-informed, and data-inspired decision-making.

With five years of experience in data analysis and machine learning, I have worked on power data analysis at KEPRI, big data projects for NTS and KoROAD, and end-to-end data initiatives for government agencies such as MOLIT and MAFRA.

Currently, I am pursuing a Ph.D. in Computer Science and AI.

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Contact

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• 📧 Email: [email protected] | [email protected]
• 📱 Phone: +82 10-97**-14****
• 📍 Location: Daejeon & Sejong, Korea </aside>

Research

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• Ethical AI, Reliable AI, Machine Learning, Deep Learning
• Graph Neural Networks, Time-series Analysis, Robust Modeling
• Effective approach to achieving trustworthy AI </aside>

Papers

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• WACV 2026, MR-Pruner: Training-free Multi-resolution Visual Token Pruning for Multi-modal Large Language Models Seunghoon Han, Hyewon Lee, SoYoung Park, Jong-Ryul Lee*,  and Sungsu Lim*
• AAAI 2026, MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation Minkyung Song, SoYoung Park,  Sungsu Lim*
• CIKM 2025, FnRGNN: Distribution-aware Fairness in Graph Neural Network SoYoung Park,  Sungsu Lim*
• WWW 2025 Workshop (EReL@MIR), Diverse Knowledge Selection for Enhanced Zero-shot Visual Question Answering Seunghoon Han†, Mingyu Choi†, Hyewon Lee, SoYoung Park, Jong-Ryul Lee*,  Sungsu Lim*, and Tae-Ho Kim*
• PAKDD 2025, Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation SoYoung Park†, Hyewon Lee†, Mingyu Choi, Seunghoon Han, Jong-Ryul Lee*, Sungsu Lim*, and Tae-Ho Kim* (Top conf., acceptance rate: ~25%)
• PeerJ Computer Science, Dynamic Periodic Event Graphs for Multivariate Time Series Pattern Prediction SoYoung Park, Hyewon Lee, and Sungsu Lim* **(**accepted (SCIE, 2023 IF: 3.5 (Q1)))
• KSC 2024, 비볼록 벌점화 분위수 회귀를 통한 그래프 신경망 신뢰성 향상 박소영, 임성수*
• KSC 2024, 도로 환경에서 LLM 기반 제로샷 이상 분할을 위한 방법론 이혜원, 박소영, 송민경, 임성수*
• KDBC 2023, 사전학습 언어 모델을 이용한 법인세 조세심판 결정 예측 모델 연구 배은형, 박소영, 임성수* </aside>

Profile

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• Ph.D. Candidate in Computer Science & Artificial Intelligence (College of Engineering)
• M.S. in Statistics (College of Natural Sciences)
• B.S. in Statistics (College of Natural Sciences)
• 4+ years of experience in data analysis </aside>