Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning S Kim, YY Choi, KJ Kim, JI Choi Journal of Energy Storage 41, 102893, 2021 | 107 | 2021 |
Impedance-based capacity estimation for lithium-ion batteries using generative adversarial network S Kim, YY Choi, JI Choi Applied Energy 308, 118317, 2022 | 50 | 2022 |
Multiple parameter identification using genetic algorithm in vanadium redox flow batteries YY Choi, S Kim, S Kim, JI Choi Journal of Power Sources 450, 227684, 2020 | 49 | 2020 |
Activity gradient carbon felt electrodes for vanadium redox flow batteries Y Kim, YY Choi, N Yun, M Yang, Y Jeon, KJ Kim, JI Choi Journal of Power Sources 408, 128-135, 2018 | 43 | 2018 |
Dynamic pore modulation of stretchable electrospun nanofiber filter for adaptive machine learned respiratory protection J Shin, S Jeong, J Kim, YY Choi, J Choi, JG Lee, S Kim, M Kim, Y Rho, ... ACS nano 15 (10), 15730-15740, 2021 | 36 | 2021 |
Global sensitivity analysis for multivariate outputs using polynomial chaos-based surrogate models X Sun, YY Choi, JI Choi Applied Mathematical Modelling 82, 867-887, 2020 | 36 | 2020 |
Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data S Kim, H Jung, M Lee, YY Choi, JI Choi ETransportation 17, 100243, 2023 | 26 | 2023 |
Bayesian parameter identification in electrochemical model for lithium-ion batteries S Kim, S Kim, YY Choi, JI Choi Journal of Energy Storage 71, 108129, 2023 | 17 | 2023 |
Cycle to clique (cy2c) graph neural network: A sight to see beyond neighborhood aggregation YY Choi, SW Park, Y Woo, UJ Choi The Eleventh International Conference on Learning Representations, 2022 | 13 | 2022 |
Two-layer hydrodynamic network model for redox flow battery stack with flow field design J Ha, YY Choi, Y Kim, JN Lee, JI Choi International Journal of Heat and Mass Transfer 201, 123626, 2023 | 10 | 2023 |
Parameter identification and identifiability analysis of lithium‐ion batteries YY Choi, S Kim, K Kim, S Kim, JI Choi Energy Science & Engineering 10 (2), 488-506, 2022 | 9 | 2022 |
The pwlr graph representation: A persistent weisfeiler-lehman scheme with random walks for graph classification SW Park, YY Choi, D Joe, UJ Choi, Y Woo Topological, Algebraic and Geometric Learning Workshop, ICML 2022, 287-297, 2022 | 6 | 2022 |
Topology-Informed Graph Transformer YY Choi, SW Park, M Lee, Y Woo ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024 | 4 | 2024 |
Pre-design model for redox flow battery design YY Choi, G Oh, JI Choi, Y Kim, KJ Kim Journal of Mechanical Science and Technology 32, 1025-1032, 2018 | 4 | 2018 |
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain G Bernárdez, L Telyatnikov, M Montagna, F Baccini, M Papillon, ... arXiv preprint arXiv:2409.05211, 2024 | 1 | 2024 |
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks M Lee, YY Choi, SW Park, S Lee, J Ko, J Hong The Third Learning on Graphs Conference, 2024 | 1* | 2024 |
End-to-End Table Transformer YY Choi, T Kim, N Kim, T Lee, S Joe International Conference on Document Analysis and Recognition(ICDAR) 2024 …, 2024 | | 2024 |
딥러닝 활용 원전 중대사고 진단 김성엽, 최윤영, 박수용, 권오규, 신형기 한국산업정보학회논문지 27 (6), 95-103, 2022 | | 2022 |
Model predictions of size-resolved distributions of indoor ultrafine particles based on monitored total number concentrations Y Hyun, YY Choi, JI Choi, D Rim, L Wallace 16th Conference of the International Society of Indoor Air Quality and …, 2020 | | 2020 |
구획모델 기반 레독스 흐름 전지 해석 최윤영, 김성윤, 최정일 대한기계학회 춘추학술대회, 381-383, 2018 | | 2018 |