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keke
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keke
  • Yonsei University
  • Seoul, South Korea

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sy00n/README.md

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📞 Contact

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🛠 Tech Stack

📝 Education

Period Institution Major Degree Remarks
2022.06~ Yonsei Univ. Department of Industrial Engineering, Knowledge Fusion Artificial Intelligence Lab Master's Enrolled
2021.12~ Kookmin Univ. Department of Computer Science, Artificial Intelligence Lab Undergraduate Researcher Completed
2021.03~ Kookmin Univ. Data Science Minor Graduated
2020.03~ Kookmin Univ. AI Bigdata & management Major Graduated
2019.03~ Kookmin Univ. Forest & Bio technology - Major changed

🖥️ Research Area

Research Area
Computer Vision with Deep Learning
Anomaly Detection
Open-Set Recognition
Few-Shot Learning
Self-Supervised Learning

📝 Paper

Year Title State Author Role link Award
2024 AnoPLe Under review 1st author link 제20회 대한산업공학회 석사논문경진대회 우수상
2023 UniFormaly Under review 3rd author link 제19회 대한산업공학회 석사논문경진대회 최우수상

🏆 Competition & Project

Year Category Host Project Result
2023 Image CVPR Workshop VPLOW Object Discovery challenge 2nd place
2023 Sensor LG Energy Solution Self-Supervised Learning for sensor-based anomaly detection
2022 Video KMU DREAM: Debiased Representation based Evidential Open Set Action Recognition with Multi-modality link
2022 Image Generation D&A Personal Color Classification and Makeup Style Transfer
2022 Recommendation System KMU ViT(Vision Transformer)-based Recommendation System utilizing Auxiliary Information link
2022 Distributed Computing KMU Implementation of removing duplicate edges and loops from the hyperlink network graph dataset of Wikipedia using MapReduce
2022 Multi-modal AI Spark Challenge Planning and Development of Counseling Support Service through Emotion Analysis Advanced to the Final Round
2021 NLP DACON News Topic Classification AI Competition top 4%
2021 Time Series Big Contest ECO Jeju Division, Predicting Food Waste Amount and Deriving Reduction Strategies
2021 NLP KMU Analysis of Customer Reviews in Musinsa Shopping Mall
2021 Spatial Data Analysis (QGIS) KMU If Seoul's Starbucks stores need to be reduced by 20% due to prolonged COVID-19, which areas and why?
2021 Spatial Data Analysis (QGIS) KMU Mapping and Characteristic Analysis of Restaurants that Survived for 10 Years in the Sungshin Women's University Commercial Area
2021 Speech KMU Prediction of Depression through Voice Emotion Analysis
2021 Machine Learning D&A Prediction of Customer Gender based on Department Store
2020 Machine Learning KMU Customized promotion planning based on gender and age group through analysis of L-point customer purchase data

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