| Self-supervised primal-dual learning for constrained optimization S Park, P Van Hentenryck Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4052-4060, 2023 | 94 | 2023 |
| Topology optimization considering static failure theories for ductile and brittle materials SH Jeong, SH Park, DH Choi, GH Yoon Computers & structures 110, 116-132, 2012 | 79 | 2012 |
| Learning optimization proxies for large-scale security-constrained economic dispatch W Chen, S Park, M Tanneau, P Van Hentenryck Electric Power Systems Research 213, 108566, 2022 | 63 | 2022 |
| Compact optimization learning for AC optimal power flow S Park, W Chen, TWK Mak, P Van Hentenryck IEEE Transactions on Power Systems 39 (2), 4350-4359, 2023 | 56 | 2023 |
| Confidence-aware graph neural networks for learning reliability assessment commitments S Park, W Chen, D Han, M Tanneau, P Van Hentenryck IEEE Transactions on Power Systems 39 (2), 3839-3850, 2023 | 43 | 2023 |
| Interpreting rate-distortion of variational autoencoder and using model uncertainty for anomaly detection S Park, G Adosoglou, PM Pardalos Annals of Mathematics and Artificial Intelligence 90 (7), 735-752, 2022 | 36 | 2022 |
| Toward a stress-based topology optimization procedure with indirect calculation of internal finite element information SH Jeong, SH Park, DH Choi, GH Yoon Computers & Mathematics with Applications 66 (6), 1065-1081, 2013 | 25 | 2013 |
| Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization S Park, SH Jung, PM Pardalos Journal of Optimization Theory and Applications, 2019 | 23 | 2019 |
| Self-supervised learning for large-scale preventive security constrained DC optimal power flow S Park, P Van Hentenryck IEEE Transactions on Power Systems, 2024 | 15 | 2024 |
| Lazy Network: A Word Embedding‐Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models G Adosoglou, S Park, G Lombardo, S Cagnoni, PM Pardalos Complexity 2022 (1), 9430919, 2022 | 11 | 2022 |
| A globally convergent sequential convex programming using an enhanced two-point diagonal quadratic approximation for structural optimization S Park, SH Jeong, GH Yoon, AA Groenwold, DH Choi Structural and Multidisciplinary Optimization 50 (5), 739-753, 2014 | 11 | 2014 |
| Deep data density estimation through donsker-varadhan representation S Park, PM Pardalos Annals of Mathematics and Artificial Intelligence 93 (1), 7-17, 2025 | 10 | 2025 |
| Risk-aware control and optimization for high-renewable power grids N Barry, M Chatzos, W Chen, D Han, C Huang, R Joseph, M Klamkin, ... arXiv preprint arXiv:2204.00950, 2022 | 10 | 2022 |
| Development of topology optimization method considering static failure theories of ductile and brittle materials S Jeong, S Park, D Choi, GH Yoon The Korean Society of Mechanical Engineers, 531-535, 2011 | 7 | 2011 |
| Emerging sensing technologies for precision agriculture S Kakarla, Y Ampatzidis, S Park, G Adosoglou, P Pardalos Information and Communication Technologies for Agriculture—Theme I: Sensors …, 2022 | 6 | 2022 |
| Homography augmented momentum contrastive learning for SAR image retrieval S Park, M Rysz, KM Dipple, PM Pardalos Synthetic Aperture Radar (SAR) Data Applications, 63-78, 2022 | 3 | 2022 |
| Hidden neighbours: extracting industry momentum from stock networks JCJ Ahn, D Gorduza, S Park Financial Markets and Portfolio Management 38 (4), 415-441, 2024 | 2 | 2024 |
| Synthetic-Aperture Radar image based positioning in GPS-denied environments using Deep Cosine Similarity Neural Networks. S Park, M Rysz, KL Fair, PM Pardalos Inverse Problems & Imaging 15 (4), 2021 | 2 | 2021 |
| A high-level task planning of autonomous robots carrying multiple herbicides and treating specific weed types G Adosoglou, S Park, Y Ampatzidis, PM Pardalosa 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 1 | 2021 |
| Small Signal Equivalent Modeling for Large ES-Embedded DFIG Wind Farm With S Park, P Van Hentenryck IEEE TRANSACTIONS ON POWER SYSTEMS 40 (3), 2205-2216, 2025 | | 2025 |