Sunghwan Moon

31 papers Journal 29Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Objective Optimisation Framework for Heterogeneous Federated Learning.
CAAI Trans. Intell. Technol.
Jamshid Tursunboev, Vikas Palakonda, Il-Min Kim, Sunghwan Moon, Jae-Mo Kang
2026 J jnl
Photoacoustic tomography with time-dependent damping: Theoretical and a convolutional neural network-guided numerical inversion procedure.
CoRR
Sunghwan Moon, Anwesa Dey, Souvik Roy
2025 J jnl
A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping.
CoRR
Dabin Park, Sanghyun Lee, Sunghwan Moon
2025 J jnl
Inversion formulas for the attenuated conical Radon transform: Plane and cylinder case.
Appl. Math. Comput.
Sunghwan Moon, Markus Haltmeier
2025 J jnl
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing.
CoRR
Mingyu Sung, Vikas Palakonda, Suhwan Im, Sunghwan Moon, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
Metaheuristics for pruning convolutional neural networks: A comparative study.
Expert Syst. Appl.
Vikas Palakonda, Jamshid Tursunboev, Jae-Mo Kang, Sunghwan Moon
2025 J jnl
Predicting brain age with global-local attention network from multimodal neuroimaging data: Accuracy, generalizability, and behavioral associations.
Comput. Biol. Medicine
Sunghwan Moon, Junhyeok Lee, Won Hee Lee
2024 J jnl
Implicit learning to determine variable sound speed and the reconstruction operator in photoacoustic tomography.
CoRR
Gyeongha Hwang, Gihyeon Jeon, Sunghwan Moon, Dabin Park
2024 J jnl
SoccerNet 2024 Challenges Results.
CoRR
Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li
2023 — conf
Federated Learning for Sleep Stage Classification on Edge Devices via a Model-Agnostic Meta-Learning-Based Pre-Trained Model.
ICCE-Berlin
Sunghwan Moon, Tae Seong Kim, Jihye Ryu, Won Hee Lee
2023 J jnl
Frequency Synchronization of Heterogeneous Second-Order Forced Kuramoto Oscillator Networks: A Differential Inequality Approach.
IEEE Trans. Control. Netw. Syst.
Shih-Hsin Chen, Chia-Chi Chu, Chun-Hsiung Hsia, Sunghwan Moon
2023 — conf
Privacy-Preserving Federated Learning in Healthcare.
ICEIC
Sunghwan Moon, Won Hee Lee
2023 J jnl
Radon transform with Gaussian beam: Theoretical and numerical reconstruction scheme.
Appl. Math. Comput.
Souvik Roy, Gihyeon Jeon, Sunghwan Moon
2023 J jnl
Self-supervised learning for a nonlinear inverse problem with forward operator involving an unknown function arising in Photoacoustic Tomography.
CoRR
Gyeongha Hwang, Gihyeon Jeon, Sunghwan Moon
2023 J jnl
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients.
SIAM J. Imaging Sci.
Minam Moon, Injo Hur, Sunghwan Moon
2022 J jnl
Singular value decomposition of the wave forward operator with radial variable coefficients.
CoRR
Minam Moon, Injo Hur, Sunghwan Moon
2021 J jnl
Numerical inversion and uniqueness of a spherical radon transform restricted with a fixed angular span.
Appl. Math. Comput.
Rim Gouia-Zarrad, Souvik Roy, Sunghwan Moon
2020 J jnl
Error estimate for a universal function approximator of ReLU network with a local connection.
CoRR
Jae-Mo Kang, Sunghwan Moon
2020 J jnl
The conical Radon transform with vertices on triple lines.
CoRR
Markus Haltmeier, Sunghwan Moon
2017 J jnl
Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder.
SIAM J. Imaging Sci.
Sunghwan Moon, Markus Haltmeier
2017 J jnl
Inversion of the Attenuated V-Line Transform With Vertices on the Circle.
IEEE Trans. Computational Imaging
Markus Haltmeier, Sunghwan Moon, Daniela Schiefeneder
2017 J jnl
Reconstruction Formula for Photoacoustic Tomography with Cylindrical Detectors.
J. Math. Imaging Vis.
Kiwoon Kwon, Sunghwan Moon
2016 J jnl
Data collection model in hybrid network for participatory sensing.
Int. J. Model. Simul. Sci. Comput.
Jeongseok Choi, TaeYoung Kim, Jaekwon Kim, Sunghwan Moon, Youngshin Han, Jongsik Lee
2016 J jnl
Exact Inversion of the Cone Transform Arising in an Application of a Compton Camera Consisting of Line Detectors.
SIAM J. Imaging Sci.
Chang-Yeol Jung, Sunghwan Moon
2016 J jnl
On the Determination of a Function from Its Conical Radon Transform with a Fixed Central Axis.
SIAM J. Math. Anal.
Sunghwan Moon
2014 J jnl
Erratum to: A Comparison of Cryptanalytic Tradeoff Algorithms.
J. Cryptol.
Jin Hong, Sunghwan Moon
2013 J jnl
A Comparison of Cryptanalytic Tradeoff Algorithms.
J. Cryptol.
Jin Hong, Sunghwan Moon
2013 J jnl
A series formula for inversion of the V-line Radon transform in a disc.
Comput. Math. Appl.
Gaik Ambartsoumian, Sunghwan Moon
2013 J jnl
Broadcast Scheduling for Wireless Mesh Networks Based on Transmission Demand.
IEEE Trans. Wirel. Commun.
Jong-Moon Chung, Sunghwan Moon, Minseok Kim
2010 J jnl
A Comparison of Cryptanalytic Tradeoff Algorithms.
IACR Cryptol. ePrint Arch.
Jin Hong, Sunghwan Moon
2005 J jnl
A Hardware/Software Codesign for Image Processing in a Processor Based Embedded System for Vehicle Detection.
J. Inf. Process. Syst.
Hosun Moon, Sunghwan Moon, Youngbin Seo, Yongdeak Kim