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Heejin Do

Heejin Do has 3 papers in our library, in 2026, most of them on Summarization; often with Gary Lee, Sangwon Ryu, Jungseul Ok.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 20 works · 9 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10648

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓ETH ZurichZurich · Switzerland2025–2026 · 16 papersEmployment since 2025 · Postdoctoral, AI Centercurrent🎓Pohang University of Science and TechnologyPohang · South Korea2020–2025 · 2 papersEducation 2020–2025 · Master's Degree, Artificial Intelligence🎓Sungkyunkwan UniversitySuwon · South Korea2016–2020Education 2016–2020 · Bachelor’s Degree, Computer Education, Data Science
🏛️ST Unitas CoGangnam-gu · South Korea2019Employment 2019 · Creative Director, Strategic Planning
🏛️The Pennsylvania State University - University Park CampusUniversity Park · United States2019Education 2019 · Exchange Student, Information Sciences and Technology (IST)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Summarization · 2 works

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing (2026 · 2 citations)
    Knowledge Tracing (KT) predicts whether a learner will answer a new item correctly based on past responses.
  2. Exploring Iterative Controllable Summarization with Large Language Models (2026 · 2 citations)
    LLMs write fluent summaries, but it is unclear how well they follow precise user requirements such as a target length or topic focus.
  3. Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search (2026)
    The paper tackles multi-attribute controllable summarization, where a summary must meet several user constraints at once: extractiveness, length, specificity, topic and speaker.

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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