🧑‍🔬 Donghyun Kim

🏛️ Affiliations

🎓Korea UniversitySeoul · South Korea2023–2026 · 40 papersEmployment since 2023 · Assistant Professor, Artificial Intelligencecurrent🎓Boston UniversityBoston · United States2018–2023 · 15 papers🏢IBMArmonk · United States2022–2024 · 9 papers🎓Massachusetts Institute of TechnologyCambridge · United States2022–2023 · 3 papers🎓University of Southern CaliforniaLos Angeles · United States2016–2017 · 3 papers🎓Korea UniversityTokyo · Japan2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA (2026 · 13 citations)
   Long videos contain a great deal of redundant content, and answering a question about them usually depends on only a few moments.
2. PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints (2026 · 1 citation)
   As people and organizations deploy their own AI agents, those agents will need to cooperate without exposing their owners' confidential information.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Semi-Supervised Domain Adaptation via Minimax Entropy ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKuniaki Saito et al.2019 · 697 citations
2. CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJames Seale Smith et al.2023 · 352 citations
3. Learning Cross-Modal Contrastive Features for Video Domain Adaptation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDonghyun Kim et al.2021 · 66 citations
4. Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKuniaki Saito et al.2021 · 36 citations
5. ConStruct-VL: Data-Free Continual Structured VL Concepts Learning* ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJames Seale Smith et al.2023 · 18 citations
6. Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QAConference of the European Chapter of the Association for Computational Linguistics (EACL)Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, et al.2026 · 13 citations
7. PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy ConstraintsFindings of the Association for Computational LinguisticsMinjun Park, Donghyun Kim, Hyeonjong Ju, et al.2026 · 1 citation

🤝 Co-authors here

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

• Michael S. Ryoo
• Minjun Park

Venues

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

• IEEE/CVF International Conference on Computer Vision (ICCV) ×3
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 50 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026

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