| Multiview cluster analysis identifies variable corticosteroid response phenotypes in severe asthma W Wu, S Bang, ER Bleecker, M Castro, L Denlinger, SC Erzurum, JV Fahy, ... American journal of respiratory and critical care medicine 199 (11), 1358-1367, 2019 | 131 | 2019 |
| Explaining a black-box using deep variational information bottleneck approach S Bang, P Xie, H Lee, W Wu, E Xing The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 78 | 2021 |
| ATM-TCR: TCR-epitope binding affinity prediction using multi-head self-attention model M Cai, S Bang, P Zhang, H Lee Frontiers in Immunology, 2456, 2022 | 37 | 2022 |
| Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes Y Jo, S Bang, C Reed, E Hovy Transactions of the Association for Computational Linguistics (TACL), 2021 | 25 | 2021 |
| Detecting Attackable Sentences in Arguments Y Jo, S Bang, E Manzoor, E Hovy, C Reed The 2020 Conference on Empirical Methods in Natural Language Processing., 2020 | 20 | 2020 |
| Robust Multiple Kernel k-means Clustering using Min-Max Optimization S Bang, Y Yu, W Wu arXiv preprint arXiv:1803.02458, 2018 | 15 | 2018 |
| Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning B Jeon, N Park, S Bang The Thirty-Fourth AAAI Conference on Artificial Intelligence. Workshop on …, 2020 | 12 | 2020 |
| Phased-LSTM Based Predictive Model for longitudinal EHR Data with Missing Values S Bang, Y Wang, Y Yang | 10* | |
| Context-aware amino acid embedding advances analysis of TCR-epitope interactions P Zhang, S Bang, M Cai, H Lee eLife, 2023.04. 12.536635, 2023 | 9 | 2023 |
| Ethnic variability in the allelic distribution of pharmacogenes between Korean and other populations IW Kim, K Im Kim, H Chang, B Yeon, SJ Bang, T Park, J Kwon, S Kim, ... Pharmacogenetics and genomics 22 (12), 829-836, 2012 | 9 | 2012 |
| PiTE: TCR-epitope binding affinity prediction pipeline using Transformer-based Sequence Encoder P Zhang, S Bang, H Lee PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 7 | 2022 |
| Naive Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects S Bang, W Wu 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 7 | 2016 |
| Phosphoproteomic analysis of the amygdala response to adolescent glucocorticoid exposure reveals g-protein coupled receptor kinase 2 as a target for reducing motivation for alcohol M Bertholomey, K Stone, TK Lam, S Bang, W Wu, A Nairn, J Taylor, ... Proteomes 6 (4), 41, 2018 | 6 | 2018 |
| KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification H Jang, S Bang, W Xiao, G Carenini, R Ng, Y ji Lee Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on …, 2021 | 3 | 2021 |
| A mixture model to detect edges in sparse co-expression graphs with an application for comparing breast cancer subtypes H Bar, S Bang Plos one 16 (2), e0246945, 2021 | 1 | 2021 |
| TCR-Epitope Binding Affinity Prediction Using Multi-Head Self-Attention Model M Cai, S Bang, H Lee The 38th International Conference on Machine Learning. Workshop on …, 2021 | 1* | 2021 |
| Joint selection of SNPs for improving prediction in genome-wide association studies S Bang, YG Kim, T Park 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | 1 | 2012 |
| Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction P Zhang, S Bang, H Lee 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 | | 2023 |
| Identification of Epitope-TCR Binding Using A Generative Adversarial Network Model S Bang, H Lee The 37th International Conference on Machine Learning. Workshop on …, 2020 | | 2020 |
