Seong-Jun Oh

Emailseongjunkorea.ackr

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39 Article
20 Conference contribution
3 Paper
3 Conference article
More
- 1 Chapter
- 1 Review article

Co–TES: Learning noisy labels with a Co-Teaching Exchange Student method
Shin, C. H. & Oh, S. J., 2024 Jun, In: Pattern Recognition Letters. 182, p. 17-23 7 p.
Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)
Low-rank approximation for underwater drone localization
Park, G. J., Noh, J. H. & Oh, S. J., 2024 Feb, In: ICT Express. 10, 1, p. 22-27 6 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Ray-Tracing-Based Data Expansion From Limited Sub-THz Channel Measurements in Urban Street
Lee, I. S., Kim, K. W. & Oh, S. J., 2024 May 1, In: IEEE Wireless Communications Letters. 13, 5, p. 1305-1309 5 p.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations
Lee, I. S., Noh, J. H. & Oh, S. J., 2023 Jun, In: ICT Express. 9, 3, p. 507-516 10 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
8 Citations (Scopus)
User-Number Threshold-Based Base Station On/Off Control for Maximizing Coverage Probability
Noh, J. H., Lee, B. & Oh, S. J., 2022 Mar 1, In: IEEE Transactions on Vehicular Technology. 71, 3, p. 3214-3228 15 p.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)

Investigators at Korea University Report Findings in Machine Learning (Co-tes: Learning Noisy Labels With a Co-teaching Exchange Student Method)
Oh, S.-J.
24/6/26
1 item of Media coverage
Press/Media: Press / Media
Studies from Korea University in the Area of Information Technology Described (A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations)
Oh, S.-J.
23/7/11
1 item of Media coverage
Press/Media: Press / Media

Seong-Jun Oh

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Co–TES: Learning noisy labels with a Co-Teaching Exchange Student method

Low-rank approximation for underwater drone localization

Ray-Tracing-Based Data Expansion From Limited Sub-THz Channel Measurements in Urban Street

A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations

User-Number Threshold-Based Base Station On/Off Control for Maximizing Coverage Probability

Investigators at Korea University Report Findings in Machine Learning (Co-tes: Learning Noisy Labels With a Co-teaching Exchange Student Method)

Studies from Korea University in the Area of Information Technology Described (A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations)

Seong-Jun Oh

Fingerprint

Collaborations and top research areas from the last five years

Research output

Co–TES: Learning noisy labels with a Co-Teaching Exchange Student method

Low-rank approximation for underwater drone localization

Ray-Tracing-Based Data Expansion From Limited Sub-THz Channel Measurements in Urban Street

A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations

User-Number Threshold-Based Base Station On/Off Control for Maximizing Coverage Probability

Press/Media

Investigators at Korea University Report Findings in Machine Learning (Co-tes: Learning Noisy Labels With a Co-teaching Exchange Student Method)

Studies from Korea University in the Area of Information Technology Described (A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations)