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SeongJun Yun

🎓 Undergraduate Student at Kyung Hee University

I’m interested probabilistic generative modeling, inference, and reinforcement learning. also their mathmatical property

📧 Email: [email protected]


🎓 Career and Academic Experience

Company / Lab / School Position Period
AGI Lab, Korea Univ Lab Intern 2025-09 — Now
System Intelligence Lab, KAIST Lab Intern 2024-12 — 2025-02
Tilda Corp ICT Intern, ML Engineer 2024-09 — 2024-12
AIMS Lab, KHU IE Undergraduate Research Student 2024-01 — 2024-08
KHU Software Convergence Undergraduate(Double Major) 2024-02 — 2026-02
KHU Industrial and Management Engineering Undergraduate 2022-02 — 2026-02

💼 Project Experience

Project Title Description Period
Casting Process Control Optimization Solution based on Digital-Twin Through domain and data analysis, we selected important control variables in the casting process. XGB, LightGBM, EXT, FFTransformer, etc. were used to build the Digital-Twin model. Based on the learned Digital-Twin Bayesian optimization was used to derive the optimal control value for the state. 2024.11 - 2024.11
Constraint embedding for recognizing interactions between constraints in Solving Vehicle Routing Problems Propose a novel methodology to embed action-dependent constraint interactions as learnable representations 2024.08 - 2024.12
Combining Plastic Texture Data Augmentation Techniques for Reverse Vending Machine System Implementing an RVM system in line with Korean recycling policies(EfficientNet, ResNet ,Light U-Net) 2024.04 - 2024.06
Recommend Accommodations and Routes Based on Jeju Island Travel Log Data Using algorithms like Xgboost, MF-SVD to recommend accommodations. Optimizing routes to recommended destinations using OR-Tools. 2024.01 - 2024.02
2D Object Detection Contest by Gyeonggi-do Autonomous Driving Center Detecting pedestrians, bicycles, trucks, cars, buses, and motorcycles using YOLOv5. Using HIC-YOLOv5 for detecting small objects. 2023.10 - 2023.12
CJ Logistics Distribution Strategy and Optimal HUB Determination Determining the best locations for hub terminals using Gravity Model and Demand Allocation Model. 2023.05 - 2023.07
Analyzing Lecture Reviews with LDA Topic Modeling in Everytime Application Participated in data crawling for analysis. 2023.04 - 2023.05
Textual Emotion Analysis and Image-Based Emoticons-Recommendation System Labeling data sentiment using GPT API. Fine-tuning BERT and analyzing emoji emoticon similarity using CLIP. 2023.01 - 2023.02

🏆 Awards

  • 2023.12: 경희대학교 산업경영공학과 학술대회 장려상
  • 2023.12: 경기도 자율주행센터 2D 객체탐지 은상 (융합기술연구원 주체)
  • 2024.04: 경희대학교 창의자율과제 공모전 선정

🎯 Extracurricular Activity

  • 2025.03 - 2025.07: 가짜연구소(Pseudo Lab) AI in Logistic & Transportation session Runner
  • 2024.01 - 2025.02: 국내 최초 데이터분석 동아리 BOAZ 데이터분석 트랙
  • 2024.01 - 2025.02: 국내 최초 데이터분석 동아리 BOAZ 기획팀 팀장
  • 2023.01 - 2023.05: 경희대학교 데이터분석 동아리 KHUDA

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