| Controllable generative adversarial network M Lee, J Seok Ieee Access 7, 28158-28169, 2019 | 86 | 2019 |
| 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 | 47 | 2020 |
| A mathematical investigation of hallucination and creativity in gpt models M Lee Mathematics 11 (10), 2320, 2023 | 33 | 2023 |
| Regularization methods for generative adversarial networks: An overview of recent studies M Lee, J Seok arXiv preprint arXiv:2005.09165, 2020 | 27 | 2020 |
| 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 | 18 | 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 | 18 | 2023 |
| Stock price prediction through the sentimental analysis of news articles J Kim, J Seo, M Lee, J Seok 2019 Eleventh International Conference on Ubiquitous and Future Networks …, 2019 | 18 | 2019 |
| Estimation with uncertainty via conditional generative adversarial networks M Lee, J Seok Sensors 21 (18), 6194, 2021 | 16 | 2021 |
| Transformer architecture and attention mechanisms in genome data analysis: a comprehensive review SR Choi, M Lee Biology 12 (7), 1033, 2023 | 15 | 2023 |
| Recent advances in generative adversarial networks for gene expression data: a comprehensive review M Lee Mathematics 11 (14), 3055, 2023 | 15 | 2023 |
| TextControlGAN: Text-to-image synthesis with controllable generative adversarial networks H Ku, M Lee Applied Sciences 13 (8), 5098, 2023 | 15 | 2023 |
| Score-guided generative adversarial networks M Lee, J Seok Axioms 11 (12), 701, 2022 | 14 | 2022 |
| GELU activation function in deep learning: a comprehensive mathematical analysis and performance M Lee arXiv preprint arXiv:2305.12073, 2023 | 13 | 2023 |
| An ensemble deep learning model with a gene attention mechanism for estimating the prognosis of low-grade glioma M Lee Biology 11 (4), 586, 2022 | 13 | 2022 |
| Estimating the prognosis of low-grade glioma with gene attention using multi-omics and multi-modal schemes SR Choi, M Lee Biology 11 (10), 1462, 2022 | 12 | 2022 |
| Recent advances in deep learning for protein-protein interaction analysis: A comprehensive review M Lee Molecules 28 (13), 5169, 2023 | 11 | 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 | 11 | 2023 |
| Improved recurrent generative adversarial networks with regularization techniques and a controllable framework M Lee, D Tae, JH Choi, HY Jung, J Seok Information Sciences 538, 428-443, 2020 | 11 | 2020 |
| HRGAN: A generative adversarial network producing higher-resolution images than training sets M Park, M Lee, S Yu Sensors 22 (4), 1435, 2022 | 10 | 2022 |
| Mathematical analysis and performance evaluation of the gelu activation function in deep learning M Lee Journal of Mathematics 2023, 2023 | 9 | 2023 |
Junhee SeokProfessor, Korea University, Seoul, South KoreaVerified email at korea.ac.kr
