Research output per year
Research output per year
Personal profile
In Korean
정호영 교수(IT대학 전자공학부)
Education
o (1993) B.A., KyungPook National University, Daegu
o (1995) M.A., Korea Advanced Institute of Science and Technology, Daejeon
o (1999) Ph.D., Korea Advanced Institute of Science and Technology, Daejeon
o (1995) M.A., Korea Advanced Institute of Science and Technology, Daejeon
o (1999) Ph.D., Korea Advanced Institute of Science and Technology, Daejeon
Professional Experience
o (2023~Present) Associate Professor, KyungPook National University, Daegu
o (2019~2023) Assistant Professor, KyungPook National University, Daegu
o (2010~2019) Project Leader, Electronics and Telecommunications Research Institute, Daejeon
o (2009~2010) Visiting Researcher, Georgia Institute of Technology, Atlanta
o (1999~2009) Senior Researcher, Electronics and Telecommunications Research Institute, Daejeon
o (2019~2023) Assistant Professor, KyungPook National University, Daegu
o (2010~2019) Project Leader, Electronics and Telecommunications Research Institute, Daejeon
o (2009~2010) Visiting Researcher, Georgia Institute of Technology, Atlanta
o (1999~2009) Senior Researcher, Electronics and Telecommunications Research Institute, Daejeon
Research Interests
Multi-modal Modeling, Large Language Model, Speech Recognition, Spoken Language Understanding, Generative AI, Speech Generation, Machine Translation, Self-Improving AI, Auto ML
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Actions and Objects Pathways for Domain Adaptation in Video Question Answering
Mohamud, S. A. M. & Jung, H. Y., 2025, Neural Information Processing - 31st International Conference, ICONIP 2024, Proceedings. Mahmud, M., Doborjeh, M., Wong, K., Leung, A. C. S., Doborjeh, Z. & Tanveer, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-15 15 p. (Communications in Computer and Information Science; vol. 2289 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Adaptive Metadata-Guided Supervised Contrastive Learning for Domain Adaptation on Respiratory Sound Classification
Kim, J. W., Toikkanen, M., Jalali, A., Kim, M., Han, H. J., Kim, H., Shin, W., Jung, H. Y. & Kim, K., 2025, In: IEEE Journal of Biomedical and Health Informatics. 29, 8, p. 5381-5393 13 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Military Audio Dataset for Situational Awareness and Surveillance
Kim, J. W., Yoon, C. & Jung, H. Y., Dec 2024, In: Scientific data. 11, 1, 668.Research output: Contribution to journal › Comment/debate
Open Access4 Scopus citations -
BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification
Kim, J. W., Toikkanen, M., Choi, Y., Moon, S. E. & Jung, H. Y., 2024, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. p. 1690-1694 5 p.Research output: Contribution to journal › Conference article › peer-review
Open Access6 Scopus citations -
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
Kim, S., Hwang, J. & Jung, H. Y., 2024, Long Papers. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 5698-5711 14 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access