Hyukjun Gweon

Assistant Professor
Office: WSC 211
Phone: 519-661-2111 x87792
Email: hgweon@uwo.ca


 

 

Research Areas

  • Sparse-labeled Data Analysis
  • Predictive Model Assessment
  • Predictive Analytics in Actuarial Science
  • Automated coding for text/survey data

Graduate Student Supervision

  • Jiaxuan Lu (PhD)
  • Hongjun Sim (PhD)
  • Rika Fitriani (PhD)
  • Jialu Sun (MSc)
  • Jie Liu (MSc)

 

Publications

Fitriani, R.*, Li, S., Gweon, H. (2026) Socioeconomic and regional determinants of inclusive insurance participation in Indonesia. Risks, 14(4), 79.

Sim, H.*, Gweon, H., Yu, H., Kulperger, R. (2025). Power-controlled reliability tests for assessing probabilistic classifier calibration. Communications in Statistics - Simulation and Computation, in press.

Lu, J.*, Gweon, H. (2025). Random k Conditional Nearest Neighbor for High-dimensional Data. PeerJ Computer Science, 11:e2497.

Gweon, H., Lu, J.* (2024). A nearest neighbor-based approach for improving the reliability of multiclass probabilistic classifiers. International Journal of Data Science and Analytics.

Gweon, H., Li, S., Xu Y.* (2024). Use of prediction bias in active learning and its application to large variable annuity portfolios. Risks, 12(6), 85.

Gweon, H., Sconlau, M. (2024). Automated classification for open-ended questions with BERT. Journal of Survey Statistics and Methodology, 12(2), 493-504.

Gweon, H., Li, S. (2023). A hybrid data mining framework for variable annuity portfolio valuation. ASTIN Bulletin: The Journal of the IAA, 53(3), 580–595.

Gweon, H. (2023). A power-controlled reliability assessment for multi-class probabilistic classifiers. Advances in Data Analysis and Classification, 17, 927-949.

Gweon, H. (2022). A power-controlled reliability assessment for multi-class probabilistic classifiers. Advances in Data Analysis and Classification, in press

Gweon, H., Li, S. (2021). Batch mode active learning for valuing large variable annuity portfolios. Insurance: Mathematics and Economics, 99, 105-115

Gweon, H., Yu, H. (2021). A nearest neighbor-based active learning method and its application to time series classification. Pattern Recognition Letters, 146, 230-236

Schonlau, M., Gweon, H., Wenemark, M. (2021). Automatic classification of open-ended questions: check-all-that-apply questions. Social Science Computer Review, 39(4), 562-572.

Gweon, H., Li, S., Mamon, R. (2020). An effective bias-corrected bagging method for valuing large variable annuity portfolios. ASTIN Bulletin, 50(3), 853-871

Gweon, H., Schonlau, M., Wenemark, M. (2020). Semi-automated classification for multi-label open-ended questions. Survey Methodology, 46(2), 265-282.

Zhang, X., Gweon, H., Provost, S. (2020). Threshold moving approaches for addressing the class imbalance problem and their application to multi-label classification. Proceedings of the 4th International Conference on Advances in Image Processing, 72–77

Gweon, H., Yu, H. (2019). How reliable is your reliability diagram? Pattern Recognition Letters, 125, 687-693

Gweon, H., Schonlau, M., Steiner, S. (2019). Nearest labelset using double distances for multi-label classification. PeerJ Computer Science, 5:e242

Gweon, H., Schonlau, M., Steiner, S. (2019). The k conditional nearest neighbor algorithm for classification and class probability estimation. PeerJ Computer Science 5:e194, 1-21

Gweon, H., Schonlau, M., Kaczmirek, L., Blohm, M., Steiner, S. (2017). Three methods for occupation coding based on statistical learning. Journal of Official Statistics, 33(1), 101-122.

McLeod, A.I., Gweon, H. (2013). Optimal deseasonalization for monthly and daily geophysical time series. Journal of Environmental Statistics, 4(11), 1-11.