Minoh Jeong

Minoh Jeong

Postdoctoral Research Fellow at University of Michigan

Publications

Journals

  1. M. Jeong, A. Dytso, and M. Cardone, “A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE,” IEEE Transactions on Information Theory, April 2025.
  2. M. Jeong, A. Dytso, and M. Cardone, “Retrieving data permutations from noisy observations: Asymptotics,” IEEE Transactions on Information Theory, April 2024.
  3. 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.
  4. M. Jeong, A. Dytso, and M. Cardone, “Ranking Recovery under Privacy Considerations,” Transactions on Machine Learning Research, Jul. 2022.
  5. 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, Nov. 2020.
  6. 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, 2020.
  7. M.-O. Jeong and S.-N. Hong, “SC-Fano Decoding of Polar Codes,” IEEE Access, vol. 7, pp. 81682-81690, June 2019.
  8. 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.


Conference proceedings

  1. M. Jeong, M. Cardone, and A. Dytso, “Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels,” in 2024 IEEE International Symposium on Information Theory (ISIT), 2024.
  2. M. Milanian, M. Jeong, and M. Cardone, “On the Secrecy Capacity of 1-2-1 Atomic Networks,” in 2024 IEEE International Symposium on Information Theory (ISIT), 2024.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

Poster presentations