Publications
Journals
-
M. Kim, M. Jeong, M. Cardone, and J. Choi, “Design of a Spiral Coil for High-Frequency Wireless Power Transfer Systems Using Machine Learning,” IEEE Journal of Emerging and Selected Topics in Industrial Electronics, Sep. 2023.
-
M. Jeong, A. Dytso, and M. Cardone, “Ranking Recovery under Privacy Considerations,” Transactions on Machine Learning Research, Jul. 2022.
-
M. Jeong, A. Dytso, M. Cardone, and H. V. Poor, “Recovering Data Permutations From Noisy Observations: The Linear Regime,” IEEE Journal on Selected Areas in Information Theory, vol. 1, no. 3, pp. 854-869, Nov. 2020, doi: 10.1109/JSAIT.2020.3041697.
-
M. Jeong, A. Dytso, and M. Cardone, “Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise,” IEEE Signal Processing Letters, vol. 27, pp. 1909-1913, 2020, doi: 10.1109/LSP.2020.3031487.
-
M.-O. Jeong and S.-N. Hong, “SC-Fano Decoding of Polar Codes,” IEEE Access, vol. 7, pp. 81682-81690, June 2019, doi: 10.1109/ACCESS.2019.2924016.
-
S.-N. Hong and M.-O. Jeong, “An Efficient Construction of Rate-Compatible Punctured Polar (RCPP) Codes Using Hierarchical Puncturing,” IEEE Transactions on Communications, vol. 66, no. 11, pp. 5041-5052, Nov. 2018, doi: 10.1109/TCOMM.2018.2854183.
Conference proceedings
-
M. Jeong, M. Cardone, and A. Dytso, “Demystifying the Optimal Performance of Multi-Class Classification,” in 2023 Advances in Neural Information Processing Systems (NeurIPS), 2023.
-
M. Jeong, M. Cardone, and A. Dytso, “Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs,” in 2023 IEEE International Symposium on Information Theory (ISIT), Taiwan, June 2023.
-
M. Kim, M. Jeong, M. Cardone, and J. Choi, “Optimization of Spiral Coil Design for WPT Systems using Machine Learning,” in 2023 IEEE Applied Power Electronics Conference and Exposition (APEC), 2023, pp. 822-828.
-
M. Jeong, M. Cardone, and A. Dytso, “On the Ranking Recovery from Noisy Observations up to a Distortion,” in 2022 IEEE International Symposium on Information Theory (ISIT), 2022, pp. 1993-1998, doi: 10.1109/ISIT50566.2022.9834780.
-
M. Kim, M. Jeong, M. Cardone, and J. Choi, “Characterization of the Quality Factor in Spiral Coil Designs for High-Frequency Wireless Power Transfer Systems using Machine Learning,” in 2022 IEEE 23rd Workshop on Control and Modeling for Power Electronics (COMPEL), 2022, pp. 1-8, doi: 10.1109/COMPEL53829.2022.9830005.
-
M. Jeong, A. Dytso, and M. Cardone, “Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics,” in 2021 IEEE International Symposium on Information Theory (ISIT), Melbourne, Victoria, Australia, July 2021, pp. 1100-1105, doi: 10.1109/ISIT45174.2021.9518137.
-
M. Jeong, A. Dytso, M. Cardone, and H. V. Poor, “Recovering Structure of Noisy Data through Hypothesis Testing,” in 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, July 2020, pp. 1307-1312, doi: 10.1109/ISIT44484.2020.9174229.
-
M.-O. Jung and S.-N. Hong, “Construction of Rate-Compatible Punctured Polar Codes Using Hierarchical Puncturing,” in 2018 IEEE International Symposium on Information Theory (ISIT), Vail, CO, June 2018, pp. 1859-1863, doi: 10.1109/ISIT.2018.8437536.
Poster presentations
- M. Jeong, “Permutation Recovery by Linear Decoding: Optimality and Asymptotics,” in 2021 IEEE North American School of Information Theory (NASIT), Online, June 2021.