[2] Adaptive Sobolev training for neural networks, with B. Lim and H. J. Hwang.

[1] Neural network solutions for Hellinger-Kantrovich gradient flows, with K. Seo

[19] Physics-Aware Tensor Field Neural PDE for Climate and Weather Prediction. with N. Cho, S. W. Cho, Y. Hong, H. J. Hwang, and J. Lee. Under review

[18] SoFoNO: Mitigating Spectral Bias in Arbitrary-Scale Image Super-Resolution via Sobolev Fourier Neural Operator. with J. K. Oh, H. J. Hwang, and J. Oh. Under review

[17] Physics-Informed Neural Networks with Message-Passing Weights. with H. Cho and H. J. Hwang. Under review.

[16] Sobolev acceleration for neural networks, with J. K. Oh and H. Lyu. Under review.

[15] Enhancing marketing strategies for small businesses: developing a recommender system using offline data, with S. Cho and H. J. Hwang. Under review.

[14] ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines. H. Son. IEEE Access.

[13] Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems, with S. W. Cho. The Thirteenth International Conference on Learning Representations (ICLR 2025).

[12] A PINN Approach for identifying governing parameters of thermoacoustic oscillations, with M. Lee. Journal of Fluid Mechanics, Vol 984 (2024).

[11] Thermal management model for microprocessors via physics-informed neural networks, with H. Cho and H. J. Hwang. IEEE Access, Vol 11 (2023).

[10] The deep minimizing movement scheme, with C. Kim, M. S. Park, and H. J. Hwang, Journal of Computational Physics, (2023), 112518.

[9] Sobolev training for physics-informed neural networks, with J. W. Jang, W. J. Han, and H. J. Hwang, Communications in Mathematical Sciences, Vol. 21 (2023) (6), pp. 1679-1705.

[8] Enhanced Physics-Informed Neural Networks with Augmented Lagrangian Relaxation Method (AL-PINNs), with S. W. Cho and H. J. Hwang, Neurocomputing, Vol. 548 (2023), 126424. 

[7] Continuous probabilistic solution to the transient self-oscillation under stochastic forcing: a PINN approach, with M. Lee, Journal of Mechanical Science and Technology, Vol. 37 (2023) (8).

[6] Lagrangian dual framework for conservative neural network solutions of kinetic equations, with H. J. Hwang, Kinetic and Related Models, Vol. 15 (2022), pp. 551-568.

[5] Traveling wave solutions of partial differential equations via neural networks, with S. W. Cho and H. J. Hwang, Journal of Scientific Computing, Vol. 89 (2021), 21.

[4]  Explainability of machine learning models for bankruptcy prediction, with M. S. Park, C. Hyun, and H. J. Hwang, IEEE Access, Vol. 9 (2021), pp. 124887-124899.

[3] Real-World implications of a rapidly responsive COVID-19 spread model with time-dependent parameters via deep learning: Model development and validation, with H. Jo, S. Y. Jung, and H. J. Hwang, Journal of Medical Internet Research, Vol. 22 (2020), e19907.

[2] Deep neural network approach to forward-inverse problems, with H. Jo, H. J. Hwang, and E. H. Kim, Networks and Heterogeneous Media, Vol. 15 (2020), pp. 247-259.

[1] Data analytic approach for bankruptcy prediction, with C. Hyun, D. Phan, and H. J. Hwang, Expert Systems with Applications, Vol. 138 (2019), 112816.

[8] 지식그래프 기반의 문화유산 추천시스템. with Sung Woong Cho, Jong Kwon Oh, Jiwon Lee. 정보과학회 컴퓨팅의 실제 학술지. 2025.02

[7] (Poster) Cultural Heritage Knowledge Graph and Recommender System. with Jae Seung Kim, Jiwon Lee. 2024 15th International Conference on Information and Communication Technology Convergence (ICTC)

[6] (Poster) Causality Inverse PINNs: Respecting causality for solving inverse problems. with Jae Seung Kim. KSIAM 2024 annual meeting 우수포스터상 수상

[5] (Poster)  문화유산 온톨로지 지식그래프 기반의 문화유산 추천시스템.  with Seungjae Jeon, Jong Kwon Oh. KSC 2023 우수발표논문상 수상

[4] (Poster) Cultural heritage recommender system based on cultural heritage ontology knowledge graph, with Seungjae Jeon, Seong Ji Lee, Jong Kwon Oh, Min Kyoung Seo, Jiwon Lee,  한국인공지능학회 추계학술대회. 

[3] (Poster) Sobolev acceleration for neural networks, 한국산업응용수학회 추계학술대회.

[2] 비지도 학습을 활용한 공유 전동킥보드 배터리 교체 알고리즘 제안, with Seung Jae Jeon and Eunkyung Kim, 제 4회 한국 인공지능 학술대회.

[1] 물리 정보 기계학습의 발전 및 응용, with J. Lee, 전자공학회지, Vol. 50 (2023), pp. 50-59.