| Transformer architecture and attention mechanisms in genome data analysis: a comprehensive review SR Choi, M Lee Biology 12 (7), 1033, 2023 | 224 | 2023 |
| A mathematical investigation of hallucination and creativity in GPT models M Lee Mathematics 11 (10), 2320, 2023 | 146 | 2023 |
| Controllable generative adversarial network M Lee, J Seok Ieee Access 7, 28158-28169, 2019 | 125 | 2019 |
| Mathematical analysis and performance evaluation of the gelu activation function in deep learning M Lee Journal of Mathematics 2023 (1), 4229924, 2023 | 119 | 2023 |
| Heterogeneous structure omnidirectional strain sensor arrays with cognitively learned neural networks JH Lee, SH Kim, JS Heo, JY Kwak, CW Park, I Kim, M Lee, HH Park, ... Advanced Materials 35 (13), 2208184, 2023 | 102 | 2023 |
| Superstargan: Generative adversarial networks for image-to-image translation in large-scale domains K Ko, T Yeom, M Lee Neural Networks 162, 330-339, 2023 | 86 | 2023 |
| Recent advances in deep learning for protein-protein interaction analysis: A comprehensive review M Lee Molecules 28 (13), 5169, 2023 | 85 | 2023 |
| Gelu activation function in deep learning: a comprehensive mathematical analysis and performance M Lee arXiv preprint arXiv:2305.12073, 2023 | 84 | 2023 |
| Portfolio management via two-stage deep learning with a joint cost H Yun, M Lee, YS Kang, J Seok Expert Systems with Applications 143, 113041, 2020 | 71 | 2020 |
| Recent advances in generative adversarial networks for gene expression data: a comprehensive review M Lee Mathematics 11 (14), 3055, 2023 | 68 | 2023 |
| Deep learning in CRISPR-Cas systems: a review of recent studies M Lee Frontiers in Bioengineering and Biotechnology 11, 1226182, 2023 | 63 | 2023 |
| Textcontrolgan: Text-to-image synthesis with controllable generative adversarial networks H Ku, M Lee Applied Sciences 13 (8), 5098, 2023 | 51 | 2023 |
| Deep learning techniques with genomic data in cancer prognosis: A comprehensive review of the 2021–2023 literature M Lee Biology 12 (7), 893, 2023 | 48 | 2023 |
| Regularization methods for generative adversarial networks: An overview of recent studies M Lee, J Seok arXiv preprint arXiv:2005.09165, 2020 | 38 | 2020 |
| Deep transfer learning using real-world image features for medical image classification, with a case study on pneumonia X-ray images C Gu, M Lee Bioengineering 11 (4), 406, 2024 | 35 | 2024 |
| Recent advancements in deep learning using whole slide imaging for cancer prognosis M Lee Bioengineering 10 (8), 897, 2023 | 32 | 2023 |
| A mathematical interpretation of autoregressive generative pre-trained transformer and self-supervised learning M Lee Mathematics 11 (11), 2451, 2023 | 29 | 2023 |
| Inverse design of nanophotonic devices using generative adversarial networks W Kim, S Kim, M Lee, J Seok Engineering Applications of Artificial Intelligence 115, 105259, 2022 | 29 | 2022 |
| Score-guided generative adversarial networks M Lee, J Seok Axioms 11 (12), 701, 2022 | 25 | 2022 |
| Estimation with uncertainty via conditional generative adversarial networks M Lee, J Seok Sensors 21 (18), 6194, 2021 | 24 | 2021 |
Junhee SeokProfessor, Korea University, Seoul, South KoreaVerified email at korea.ac.kr
