SeongJun Yun

🎓 Undergraduate Student at Kyung Hee University

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

📧 Email: whgdk0911@khu.ac.kr

💼 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 |

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

• 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