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Name

Heejin Do (도희진)

Email

  • heejindo@postech.ac.kr
  • docando71@gmail.com

Research Topic

Natural Language Processing (NLP)

↪ Automated Essay Scoring, Automated Pronunciation Assessment, Neural Machine Translation

Education

  • Bachelor’s degree in Computer Education & Data Science from Sungkyunkwan University
  • Exchange Student in Information Science and Technology(IST) at Pennsylvania State University
  • (Current) Studying in Graduate School of Artificial Intelligence from POSTECH

Papers

International Journal Papers

  • Target-Oriented Knowledge Distillation with Language-Family-Based Grouping for Multilingual NMT
    Heejin Do, Gary Geunbae Lee, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2022, Paper Link

International Conference Papers

  • Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards
    Heejin Do, Sangwon Ryu, Gary Geunbae Lee, Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, Paper Link
  • Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment
    Heejin Do, Wonjun Lee, Gary Geunbae Lee, International Conference on Speech Communication and Technology (Interspeech 2024), Kos Island, Greece, Paper Link
  • Key-Element-Informed sLLM Tuning for Document Summarization
    Sangwon Ryu*, Heejin Do*, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok, International Conference on Speech Communication and Technology (Interspeech 2024), Kos Island, Greece, Paper Link
  • Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning
  • Aspect-based Semantic Textual Similarity for Educational Test Items
    Heejin Do, Gary Geunbae Lee, International Conference on Artificial Intelligence in Education (AIED 2024), Recife, Brazil, Paper Link | Code
  • Autoregressive Score Generation for Multi-trait Essay Scoring
    Heejin Do, Yunsu Kim, Gary Geunbae Lee, Findings of the European Chapter of the Association for Computational Linguistics (EACL 2024), Malta, Paper Link | Code
  • Score-Balanced Loss for Multi-Aspect Pronunciation Assessment
    Heejin Do, Yunsu Kim, Gary Geunbae Lee, International Conference on Speech Communication and Technology (Interspeech 2023), Dublin, Ireland, Paper Link | Code
  • Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
    Heejin Do, Yunsu Kim, Gary Geunbae Lee, Findings of the Association for Computational Linguistics (ACL 2023, Long), Toronto, Canada, Paper Link | Code
  • Hierarchical Pronunciation Assessment with Multi-Aspect Attention
    Heejin Do, Yunsu Kim, Gary Geunbae Lee, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, Paper Link | Code

Domestic Conference Papers

  • 어족 기반 지식 증류 기법을 적용한 다국어 신경망 기계 번역
    도희진, 이근배, 2021 한국컴퓨터종합학술대회, 2021년 6월, 온라인

Patents & SW

Patents

  • 도희진, 이근배, 어족 기반 지식 증류 기법을 적용한 다국어 신경망 기계 번역 시스템, 장치 및 방법, 출원번호 10-2021-0097108, 2021년 07월 23일 (등록 완료)
  • 도희진, 김윤수, 이근배, 자동 발음 평가 방법 및 장치, 출원번호 10-2023-0132781, 2023년 10월 05일

SW

  • C-2021-027720. 어족 기반 지식 증류 기법을 활용한 다국어 신경망 기계 번역. 2021.07.09 (도희진)

Honors and Awards

  • POSTECHIAN Fellowship, POSTECH, 2024
  • [한국보안윤리학회] 4차산업혁명인재양성 연합페스티벌, 최우수상(2위) - 2017.11
  • [과학기술정보통신부] SW Eduthon(에듀톤), 대상(1위), 과학기술정보통신부 장관상 - 2018.12
  • [해양수산부/UNIST/울산항만공사] 제 8회 빅데이터 분석 경진대회, 우수상(2위) - 2019.08
  • [성균관대학교] 성균가족상 사회봉사부문, 대상(1위) - 2018.11
  • [성균관대학교] R 코딩/통계 캠프 프로젝트, 우수상(3위) - 2019.01

Experience

Software Education Volunteer

  • World Friends Korea/NIA/KIV, 우즈베키스탄 타슈켄트 정보통신대학(TUIT) ICT 봉사단
  • NAVER CONNECT 재단, ‘SW야 놀자’ 활동위원
  • Code Club 한국위원회, 활동위원
  • SKT Silver Net, 스마트폰 혁신스쿨 SW 교육봉사
  • 동성고등학교, SW 교육봉사

Internship

  • ST Unitas, Process Planning Team

Etc

  • 성균관대학교 데이터사이언스 R 통계 캠프 프로젝트
  • Teaching Assistant of ‘문제해결과 알고리즘’ and ‘컴퓨팅사고와 SW 코딩’ (SKKU)