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🎓 Education


M.S., Dept. of Human Computer Interaction, Hanyang University

  • [2022.03~2024.02] Adviser: Prof. Minsam Ko | | HAI(Human-AI Interaction) LAB.
  • Thesis: Improving Zero-Shot Aspect Extraction

B.S., Dept. of Information and Communication Engineering, Changwon National University

  • [2016.03~2021.02] Adviser: Prof. Donggyu Park | IVIS(Information-Visualization) LAB.

📃 Publications


Improving Zero-Shot Aspect Extraction

  • 석사 학위 논문 | 2024.02

  • Questioning 기법을 통해 라벨링 없이 다양한 도메인에서 온라인 리뷰의 주요 요인 추출

A Review of Deep Learning Applications for Railway Safety

  • Applied Science, 제2저자 | 2022.10

  • 철도 안전을 위한 딥러닝 적용된 사례 탐색 및 분류하고 관련 기회와 도전 과제를 논의

🏆 Honors & Awards


  • AIVLE Big Project Practical상 | KT, 고용노동부 | 2024.08.07

  • AI 창업 경진대회 장려상 | 인공지능산업융합사업단 | 2022.06.30

  • 동남권 메가시티 창업아이디어 경진대회 대상 | 중소벤처기업부 | 2020.11.20

  • 졸업작품전 최우수상 | 창원대학교 정보통신공학과 | 2020.11.05

💼 Work


네이버 클라우드 NAVER Cloud

  • 경기도 성남시, 2024.08.12~2024.11.08 (현재 진행 중)
  • 인턴 | 역할: 관련 서비스 서베이 및 LLM 엔지니어링

HAI LAB Human-AI Interaction LAB

  • 협업사(산학 협력): 딜라이트룸 Delightroom
    • 서울시, 2022.08.01 ~ 2023.06.30 (11개월)
  • 석사연구원 | 역할: 데이터 분석 & 서비스 내 AI 기술 적용 및 연구 (파인튜닝, 유사도 기반 검색 알고리즘 등)

브리야 Briya

  • 서울시, 2022.07.01~2022.09.30 (3개월)
  • 외주 | 역할: 데이터 수집 및 AI 모델 개발 (YOLOv8)

(주)팀플백 Teampl100

  • 경상남도 창원시, 2020.08.01~2021.05.01 (9개월)
  • 정규직/사원 | 역할: WEB 기획 및 개발, 서비스 내 NLP 기술 적용 및 연구 (형태소 분석, API 적용)

HyoJin Joo's Projects

absa-quad icon absa-quad

The existing ABSA-QUAD code has been appropriately modified to align with the current library ecosystem, including PyTorch and other relevant libraries.

algorithm-book icon algorithm-book

A repository for documenting daily "Algorithm & Problem-Solving" learning.

ie-e2h icon ie-e2h

Easy-to-Hard Learning for Information Extraction (ACL 2023 Findings)

k8s icon k8s

Docker 및 k8s의 기본 개념과 운용 실습

llmops icon llmops

LLMOps에 대한 개념 이해 및 관련 플랫폼(VertexAI, SageMaker) 조사

nlp icon nlp

The main content of this repository is NLP(Natural Language Processing) algorithms include LLMs.

p-tuning-v2 icon p-tuning-v2

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

promptengineering icon promptengineering

프롬프트 엔지니어링 기법들의 개념 정리 및 데이터셋 자동 프롬프트 생성 도구(PromptSource) 실습

sft icon sft

SFT Methods(LoRA, QLoRA 등)에 대한 조사 및 실습

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