• Dongjin Lee, Gregory S.H. Paek, Seo-Won Chang, Changwan Kim, Mankeun Jeong, Hongjae Moon, Seong-Heon Lee, Jae-Hun Jung, Myungshin Im. Investigating the Effects of Point Source Injection Strategies on KMTNet Real/Bogus Classification. The Astronomical Journal (AJ), vol. 170, no. 6, p. 337, 2025. doi: 10.3847/1538-3881/ae11a4.


  • Kwanghyuk Park, Xinjuan Chen, Dongjin Lee, Jiaxi Gu, Jae-Hun Jung. A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network. Applied Numerical Mathematics, vol. 218, pp. 1-21, 2025. doi: 10.1016/j.apnum.2025.07.005.


  • Jungeun Kim$^{*}$, Junwon You$^{*}$, Dongjin Lee$^{*}$, Ha Young Kim, Jae-Hun Jung. Do Topological Characteristics Help in Knowledge Distillation? Forty-first International Conference on Machine Learning, 2024. https://openreview.net/forum?id=2dEH0u8w0b.


  • Dongjin Lee, Jae-Hun Jung. A Prediction Algorithm with the Mapper Method based on DBSCAN and Giotto-TDA. Journal of KSIAM, 2023. doi: 10.12941/jksiam.2023.27.324.


  • Dongjin Lee$^{*}$, Seong-Heon Lee$^{*}$, Jae-Hun Jung. The Effects of Topological Features on Convolutional Neural Networks – An Explanatory Analysis via Grad-CAM. Machine Learning: Science and Technology, vol. 4, no. 3, p. 035019, 2023. doi: 10.1088/2632-2153/ace6f3.


  • Mai Lan Tran$^{*}$, Dongjin Lee$^{*}$, Jae-Hun Jung, Machine composition of Korean music via topological data analysis and artificial neural network, Journal of Mathematics and Music, vol. 18, no. 1, pp. 20-41, 2023. doi: 10.1080/17459737.2023.2197905.


  • Dongjin Lee, Christopher Bresten, Kookhyoun Youm, Ki-Weon Seo, Jae-Hun Jung, Model discrepancy using topological data analysis and convolutional neural network analysis, International Journal of Modern Physics C, vol. 31, no. 08, p. 2050117, 2020. doi: 10.1142/S012918312050117X.