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Jung-Woo Ha

Jung-Woo Ha has 2 papers in our library, in 2017–2024, most of them on Language models & pretraining, Speech & spoken language; often with Byoung-Tak Zhang, Jin-Hwa Kim, Kang Min Yoo.

2 papers in our library · 2017–2024

OpenAlex · ORCID · Wikidata · h-index 27 · 121 works · 9,485 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 367 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #5457

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

🏢NAVER CloudSeongnam-si · South Korea2017–2025 · 54 paperscurrent🏢NaverSeongnam-si · South Korea2015–2024 · 61 papersEmployment🎓Seoul National UniversitySeoul · South Korea2007–2023 · 15 papersEducation until 2015🎓Korea UniversitySeoul · South Korea2020–2022 · 3 papers🎓New York UniversityNew York · United States2018–2022 · 3 papers
🏛️Naver CorpSeongnam · South Korea2015Employment since 2015 · Head, NAVER AI
🏛️Gudeok High SchoolSasang District · South KoreaEducation
🏛️Sasang Elementary SchoolSasang District · South KoreaEducation
🏛️Sasang Middle SchoolSasang District · South KoreaEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksNeuroscience · 1 workArtificial Intelligence · 2 worksCognitive Neuroscience · 1 workComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20241 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Overcoming Catastrophic Forgetting by Incremental Moment Matching (2017 · 298 citations)
    When a neural network is trained on tasks one after another, it tends to lose earlier knowledge once it fits a new task.
  2. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation (2024 · 13 citations)
    Voice assistants built on LLMs usually chain separate ASR and TTS modules. This pipeline loses paralinguistic cues such as emotion and prosody, and recognition errors carry through to later stages. Kim et al. (Seoul National University and NAVER) propose USDM (Unified Spoken Dialog Model), an end-to-end speech-text…

All works

10 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. Dual Attention Networks for Multimodal Reasoning and Matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHyeonseob Nam, Jung-Woo Ha, Jeonghee Kim2017 · 773 citations
  2. Photorealistic Style Transfer via Wavelet Transforms ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJaejun Yoo et al.2019 · 393 citations
  3. Overcoming Catastrophic Forgetting by Incremental Moment MatchingarXiv:1703.08475Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, et al.2017 · 298 citations
  4. KLUE: Korean Language Understanding Evaluation ↗arXiv (Cornell University) · no summary yetSungjoon Park et al.2021 · 185 citations
  5. DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder ↗arXiv (Cornell University) · no summary yetXiaodong Gu et al.2018 · 132 citations
  6. What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetBoseop Kim et al.2021 · 119 citations
  7. On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetSeongjin Shin et al.2022 · 73 citations
  8. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural ConversationConference on Neural Information Processing Systems (NeurIPS)Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.2024 · 13 citations
  9. Reward Optimization for Neural Machine Translation with Learned Metrics ↗arXiv:2104.07541 · no summary yetRaphael Shu, Kang Min Yoo, Jung-Woo Ha2021 · 11 citations
  10. Continuous Decomposition of Granularity for Neural Paraphrase Generation ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetXiaodong Gu et al.2022 · 2 citations

 Co-authors here

5 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 367 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

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