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  • Seoul Nat'l Univ.
  • Seoul, Republic of Korea

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sailor1493/README.md

Overview

  • Chanwoo Park
  • Graduate student at Seoul National University
  • Majoring in Computer Science & Engineering.
  • Currently, I am working on:
    • Dataset for Large Language Models
    • Post-Training for Large Language Models

Research Experience

  • Researcher (2022.11. ~ Current)
    • At Thunder Research Group
    • Improving model quality with corpus engineering
    • Most Used Languages: C++, Python
    • Advisor: Prof. Jaejin Lee
  • Undergraduate Research Opportunities Program (2022.03. ~ 2022.06.)
    • At CSAP Lab
    • Implemented DNN operation with cuda programming apis
    • Evaluated DNN Post-training Quantization results
    • Most Used Languages: C++, Python
    • Advisor: Prof. Bernhard Egger

Publications

2025

  • Enhancing Face Recognition Accuracy for Under-Display Cameras via Image Restoragtion
    • Kyusu Ahn, Chanwoo Park, Jaejin Lee
    • (Distinguished Paper)On Society for Information Display's Display Week 2025
  • UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
  • Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration

2024

  • Analysis of Large Language Model Performance According to Korean-English Training Data Ratio in Continual Learning
    • Jinpyo Kim, Gyeongje Cho, Chanwoo Park, Jongwon Park, Jaejin Lee
    • On Korea Software Congress 2024
  • Exploring the Impact of Pre-training Corpora on the Performance of Language Models
    • Yujin Jeong, Jaehwan Lee, Chanwoo Park, Donghun Choi, Jaejin Lee
    • On Korea Computer Congress 2024

2023

  • UDC-SIT: A Real-World Dataset for Under-Display Cameras
    • Kyusu Ahn, Byeonghyun Ko, Hyungyu Lee, Chanwoo Park, and Jaejin Lee
    • On the 37th Conference on Neural Information Processing Systems, Datasets and Benchmarks
  • Applying Influence Range to Under-Display Camera Image Restoration
    • Kyusu Ahn, Byeonghyun Ko, Hyungyu Lee, Chanwoo Park, and Jaejin Lee
    • On the 23rd International Meeting on Information Display

Work Experience

  • TmaxTibero (2022.07. ~ 2022.08.)
    • Summer Internship at DevOps Team
    • Composing Network of DBMS containers and Parallelizing test tasks for Test Automation
    • Most Used Technology: Python Parallel Programming, Shell, Docker, Docker Compose

Community Services

  • Bacchus (2021.03. ~ 2023.12.)
    • Was in charge of onboarding members and member relations
    • Managed more than 60 machines in the department.
    • Most Used Technology: ansible

Education

Teaching Experiences

  • Foundation of Computing, Tutor (2021.09. ~ 2023.06.)
    • Teaching language: Python
    • Practice session teaching assistant
  • Teaching Assistance for CSE Courses
    • Algorithms (2022.09 ~ 2022.12)

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