Publications at Glance

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*: co-first author

•  Jung, H., Ahn, S., Choi, S., and Jeon, Y. (2025+) Quantifying Fire Risk Index in Chemical Industry Using Statistical Modeling Procedure. Submitted 

• Lei, B., Jeon, Y., Guhaniyogi, R., Sheffler, A., Mallick, B., and Alzheimer's Disease Neuroimaging Initiatives. (2025+) Integrative Variational Autoencoders for Generative Modeling of an Image Outcome with Multiple Input Images. Submitted 

• Jeon, Y., Sheffler, A., and Guhaniyogi, R. (2025+) Deep Generative Modeling with Spatial and Network Images: An Explainable AI (XAI) Approach. Submitted

• Jeon, Y., Guhaniyogi, R., Sheffler, A., Francom, D., and Guhaniyogi, R. (2025+) Interpretable Deep Neural Network for Modeling Functional Surrogates. Submitted 

• Xie, J., Jeon, H., Chang, W., Jeon, Y.,  Li, Z., Ma, Q., and Chung, D. (2025+) spaDesign: A Statistical Framework to Improve the Design of Sequencing-based Spatial Transcriptomics Experiments. Submitted 

• Li, Y., Tong, D., Jeon, Y.,  Lee, BS., Park, J., Kondragunta, S., Zhang, X., Siripun, N., Song, S., Mehta, C., and Chen, J. (2025) Using AOD and UVAI to Reduce the Uncertainties in Wildfire Emission and Air Quality Forecast. Journal of Geophysical Research - Atmospheres.

• Jeon, Y., Park, J., Jin, I. H., and Chung, D. (2024) Network-based Topic Structure Visualization. Journal of Applied Statistics, 1-5.

• Jeon, Y., Chang, W., Jeong, S., Han, S., and Park, J. (2024) A Bayesian Convolutional Neural Network-based Generalized Linear Model. Biometrics, 80(2).

• Jeon, Y.*, Kim, J. J.*, Yu, S., Choi, J., and Han, S. (2024) A Fusion Analytic Framework for Investigating Functional Brain Connectivity Differences using Resting-state fMRI. Frontiers in Neuroscience .

• Jeon, H.*, Xie, J.*, Jeon, Y.*, Jung, K.J., Gupta, A., Chang, W., and Chung, D. (2023) Statistical Power Analysis for Designing Bulk, Single Cell, and Spatial Genomic Experiments: Review, Tutorial, and Perspectives. Biomolecules, 13(2), 221.

• Park, J., Jeon, Y., Shin, M., Jeon, M., and Jin, I. H. (2022) Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data. Journal of Computational and Graphical Statistics, 31(2), 360-377.

• Choi, J., Ko, I., Kim, J., Jeon, Y. and Han, S. (2021) Machine Learning Framework for Multi-Level Classification of Company Revenue. IEEE Access.

• Jeon, Y. and Kim, J. J. (2020) Identification of Sentiment Keywords Association-based Hotel Network of Hotel Review Using Mapper Method in Topological Data Analysis. The Korean Journal of Applied Statistics, 33(1), 75-86.

• Jeon, Y., Jang E., and Jang, H. (2019) Sentiment Scores of Sentiment Keywords: Analysis of Hotel Review Data. International Conference Big Data Analytics, Data Mining and Computational Intelligence, 233-235.