| Semi-supervised learning for hierarchically structured networks M Kim, D Lee, H Shin Pattern Recognition 95, 191-200, 2019 | 23 | 2019 |
| Drug repurposing with network reinforcement Y Nam, M Kim, HS Chang, H Shin BMC bioinformatics 20, 1-10, 2019 | 23 | 2019 |
| Historical inference based on semi-supervised learning D Lee, S Lee, M Kim, H Shin Expert Systems with Applications 106, 121-131, 2018 | 13 | 2018 |
| An inference method from multi-layered structure of biomedical data M Kim, Y Nam, H Shin BMC medical informatics and decision making 17, 1-10, 2017 | 10 | 2017 |
| Inference on chains of disease progression based on disease networks D Lee, M Kim, H Shin Plos one 14 (6), e0218871, 2019 | 9 | 2019 |
| CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data Y Nam, M Kim, K Lee, H Shin BMC medical informatics and decision making 16, 163-173, 2016 | 8 | 2016 |
| Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder J Kim, M Kim, H Shin 2022 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2022 | 4 | 2022 |
| Inference on historical factions based on multi-layered network of historical figures M Kim, D Lee, S Lee, G Lee, H Shin Expert Systems with Applications 161, 113703, 2020 | 4 | 2020 |
| Fast Prediction for Suspect Candidates from Criminal Networks JH Jhee, MJ Kim, M Park, J Yeon, Y Kwak, H Shin 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | 3 | 2023 |
| Semi-supervised network regression with Gaussian process M Kim, D Lee, H Shin 2022 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2022 | 3 | 2022 |
| Mutual Domain Adaptation S Park, MJ Kim, K Park, H Shin Pattern Recognition 145, 109919, 2024 | 2 | 2024 |
| Fast Integration for Multiple Graphs with Neumann Approximation T Yun, MJ Kim, H Shin 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | 1 | 2023 |
| Learning Neural Networks without Lazy Weights D Lee, J Cho, M Kim, S Park, H Shin 2022 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2022 | 1 | 2022 |
| Dementia key gene identification with multi-layered SNP-gene-disease network D Lee, M Kim, SJ Son, CH Hong, H Shin Bioinformatics 36 (Supplement_2), i831-i839, 2020 | 1 | 2020 |
| Vectorizing string entries for data processing on tables: when are larger language models better? L Grinsztajn, E Oyallon, MJ Kim, G Varoquaux arXiv preprint arXiv:2312.09634, 2023 | | 2023 |
| Modeling string entries for tabular data prediction: do we need big large language models? L Grinsztajn, MJ Kim, E Oyallon, G Varoquaux NeurIPS 2023 Second Table Representation Learning Workshop, 2023 | | 2023 |
| Accelerated Graph Integration with Approximation of Combining Parameters T Yun, MJ Kim, H Shin International Conference on Machine Learning, Optimization, and Data Science …, 2023 | | 2023 |
| Lazy Node-Dropping Autoencoder J Lee, MJ Kim, H Shin 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | | 2023 |
| Fast Prediction for Criminal Suspects through Neighbor Mutual Information‐Based Latent Network JH Jhee, MJ Kim, M Park, J Yeon, H Shin International Journal of Intelligent Systems 2023 (1), 9922162, 2023 | | 2023 |
| Fast Integration for Multiple Networks with Combining Parameter Approximation T Yun, M Kim, H Shin 대한산업공학회 춘계공동학술대회 논문집, 3184-3196, 2022 | | 2022 |
