* Equal contribution (co-first authorship)

Journal Publication


  • Lee, M., Tae, D., Choi, J. H., Jung H.-Y., & Seok, J., (2020) “Improved Recurrent Generative Adversarial Networks with Regularization Techniques and a Controllable Framework” Information Sciences. (IF: 5.910, JCR(%): 5.45%)

  • Yun, H. *, Lee, M. *, Kang, Y. S. & Seok, J., (2020) “Portfolio Management via Two-stage Deep Learning with A Joint Cost.” Expert Systems with Applications. (IF: 5.452, JCR(%): 1.81%)

  • Lee, H.K., Park, W.H., Kang, Y.C., Kang, S., Im, S., Park, S., Kim, J.T., Lee, M., Seok, J., Oh, M-.S., Choi, H.S. & Pak, Y.K., (2020) “Serum biomarkers from cell-based assays for AhRL and MIS strongly predicted the future development of diabetes in a large community-based prospective study in Korea.” Scientific Reports. (IF: 3.998, JCR(%): 23.24%)

  • Choi, J. Y, Choi, S., Lee, M, Park, Y. S., Sung, J. S., Chang, W. J., Kim, J. W., Choi, Y. J., Kim, J., Kim, D.-S., Lee, S.-H., Seok, J., Park, K. H., Kim, S. H., Kim Y. H., (2020) “Clinical Implication of Concordant or Discordant Genomic Profiling Between Primary and Matched Metastatic Tissues in Patients with Colorectal Cancer.” Cancer Research and Treatment. (IF: 3.761, JCR(%): 39.14%)

~ 2019

  • Lee, M., Han, S. W., & Seok, J., (2019) “Prediction of Survival Risks with Adjusted Gene Expression through Risk-Gene Networks.” Bioinformatics. (IF: 5.610, JCR(%): 4.24%)

  • Lee, M., & Seok, J., (2019) “Controllable Generative Adversarial Network.” IEEE Access. (IF: 3.745, JCR(%): 22.12%)

  • Lee, K. M. *, Lee, M. *, Seok, J. & Han, S. W., (2019) “Regression-based Network Estimation for High-dimensional Genetic Data” Journal of Computational Biology. (IF: 1.054, JCR(%): 52.02%)

  • Lee, M., Kang, Y. S., & Seok, J., (2018) “The Estimation of Probability Distribution for Factor Variables with Many Categorical Values.” PLoS One. (IF: 2.740, JCR(%): 37.32%)

  • Lee, M.*, Seok, J. *, Tae, D., Zhong, H., & Han, S. W., (2017) “A Comparison of Two-Stage Approaches Based on Penalized Regression for Estimating Gene Networks.” Journal of Computational Biology. (IF: 1.054, JCR(%): 52.02%)

Conference Talks & Posters

  • Lim, D., Lee, M., Seok, J., (2020) “Long Term Traffic Prediction in Highway Using Parallel CNN” 2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) (pp. 107-110).

  • Kim, J., Seo, J., Lee, M., & Seok, J. (2019) “Stock Price Prediction Through the Sentimental Analysis of News Articles.” Poster presented at the Eleventh International Conference on Ubiquitous and Future Networks (ICUFN) (pp. 700-702). IEEE., Zagreb, Croatia.
  • Lee, M., Han, S. W., & Seok, J. (2019) “The Estimation of Risk-Gene networks and The Prediction of Survival Risks.” Talk presented at the Fifth International Conference on the Interface between Statistics and Engineering, Seoul, Korea.
  • Lee, M., Seok, J., Tae, D., Zhong, H., & Han, S. W. (2017) “A Comparison of Two-Stage Approaches Based on Penalized Regression for Estimating Gene Networks.” Talk presented at the Data Science & Computational Precision Health 2017, San Francisco, CA.
  • Lee, M., Han, S. W., & Seok, J. (2017) “A Hierarchical Gene Tree for Survival Prediction.” Poster presented at the Intelligent Systems for Molecular Biology & European Conference on Computational Biology 2017 (ISMB/ECCB 2017), Prague, Czech Republic.
  • Lee, M., Kim, B. D., Kang, Y. S., & Seok, J. (2016) “Network Construction from a Data Matrix and Its Application to Model-Target Gene Expression Data.” Poster presented at the International Conference on Electronics, Information and Communication 2016 (ICEIC 2016), Danang, Vietnam.
  • Kim, Y., Lee, M., & Seok, J. (2015) “Gene Expression Analysis for the Time from Progression to Death in Multiple Myeloma.” Poster presented at the GIW/InCoB 2015, Tokyo, Japan.