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Yeong-Dae Kwon
Yeong-Dae Kwon
Samsung SDS
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Title
Cited by
Cited by
Year
Pomo: Policy optimization with multiple optima for reinforcement learning
YD Kwon, J Choo, B Kim, I Yoon, Y Gwon, S Min
Advances in Neural Information Processing Systems 33, 21188-21198, 2020
2092020
Efficient active search for combinatorial optimization problems
A Hottung, YD Kwon, K Tierney
arXiv preprint arXiv:2106.05126, 2021
732021
Matrix encoding networks for neural combinatorial optimization
YD Kwon, J Choo, I Yoon, M Park, D Park, Y Gwon
Advances in Neural Information Processing Systems 34, 5138-5149, 2021
512021
Femtojoule-scale all-optical latching and modulation via cavity nonlinear optics
YD Kwon, MA Armen, H Mabuchi
Physical review letters 111 (20), 203002, 2013
412013
Selfmatch: Combining contrastive self-supervision and consistency for semi-supervised learning
B Kim, J Choo, YD Kwon, S Joe, S Min, Y Gwon
arXiv preprint arXiv:2101.06480, 2021
372021
Simulation-guided beam search for neural combinatorial optimization
J Choo, YD Kwon, J Kim, J Jae, A Hottung, K Tierney, Y Gwon
Advances in Neural Information Processing Systems 35, 8760-8772, 2022
282022
Experimental methods for trapping ions using microfabricated surface ion traps
S Hong, M Lee, YD Kwon, T Kim
JoVE (Journal of Visualized Experiments), e56060, 2017
232017
Superresolution fluorescence microscopy for 3D reconstruction of thick samples
S Park, W Kang, YD Kwon, J Shim, S Kim, BK Kaang, S Hohng
Molecular brain 11, 1-9, 2018
222018
A new microfabrication method for ion-trap chips that reduces exposure of dielectric surfaces to trapped ions
S Hong, Y Kwon, C Jung, M Lee, T Kim, DD Cho
Journal of Microelectromechanical Systems 27 (1), 28-30, 2017
212017
Microelectromechanical-system-based design of a high-finesse fiber cavity integrated with an ion trap
M Lee, M Lee, S Hong, K Schüppert, YD Kwon, T Kim, Y Colombe, ...
Physical Review Applied 12 (4), 044052, 2019
172019
Seungjai Min, and Youngjune Gwon. Selfmatch: Combining contrastive self-supervision and consistency for semisupervised learning
B Kim, J Choo, YD Kwon, S Joe
arXiv preprint arXiv:2101.06480 2 (3), 2021
132021
Cost shaping via reinforcement learning for vehicle routing problems
YD Kwon, J Choo, D Bae, J Kim, A Hottung
The EURO Meets NeurIPS, 2022
62022
Seungjai Min, and Youngjune Gwon (2021).“SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning”
B Kim, J Choo, YD Kwon, S Joe
arXiv preprint arXiv:2101.06480, 2021
52021
Cavity nonlinear optics with a cold atom ensemble on an atom chip: all-optical latching, modulation, and amplification
YD Kwon
Stanford University, 2013
32013
Method for training image classification model and apparatus for executing the same
BJ Kim, JH Choo, YD Kwon, JY Chang, YJ Gwon, SJ Min
US Patent 11,823,480, 2023
22023
Apparatus and method for training reinforcement learning model for use in combinatorial optimization
YD Kwon, JH Choo, IJ Yoon, BJ Kim
US Patent App. 17/077,204, 2021
12021
Coherent control of ion qubit states and thermometry using motional decoherence
H Jeon, N Park, J Yu, YD Kwon, D Yum, W Jhe
Journal of the Korean Physical Society 78, 251-258, 2021
12021
Method for solving problem and system thereof
JH Choo, YD Kwon, JH Kim, J Jae
US Patent App. 18/144,505, 2023
2023
Apparatus and method of image clustering
BJ Kim, JH Choo, YD Kwon, IJ Yoon, P Du Won
US Patent 11,645,361, 2023
2023
Synthetic data generation apparatus based on generative adversarial networks and learning method thereof
BJ Kim, YJ Gwon, YH Jeong, YD Kwon, CH Bae
US Patent 11,615,290, 2023
2023
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Articles 1–20