| Detecting disruptive talk in student chat-based discussion within collaborative game-based learning environments K Park, H Sohn, B Mott, W Min, A Saleh, K Glazewski, C Hmelo-Silver, ... LAK21: 11th International Learning Analytics and Knowledge Conference, 405-415, 2021 | 20 | 2021 |
| Disruptive talk detection in multi-party dialogue within collaborative learning environments with a regularized user-aware network K Park, H Sohn, W Min, B Mott, K Glazewski, CE Hmelo-Silver, J Lester Proceedings of the 23rd annual meeting of the special interest group on …, 2022 | 8 | 2022 |
| Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity Recognition H Sohn, B Park The 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '22), 2022 | 7 | 2022 |
| MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling H Sohn, K Park, M Chi 2020 IEEE International Conference on Big Data (Big Data), 1246-1255, 2020 | 6 | 2020 |
| Cost-aware vulnerability prediction: the HARMLESS approach Z Yu, C Theisen, H Sohn, L Williams, T Menzies CoRR abs/1803.06545, 2018 | 6 | 2018 |
| Bp: Profiling vulnerabilities on the attack surface C Theisen, H Sohn, D Tripp, L Williams 2018 IEEE Cybersecurity Development (SecDev), 110-119, 2018 | 2 | 2018 |
| Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction H Sohn, K Park, B Park, M Chi The 33rd International Joint Conference on Artificial Intelligence (IJCAI '24), 2024 | | 2024 |
| Temporal, Robust and Informative Data Augmentation for Disease Progression Modeling H Sohn North Carolina State University, 2022 | | 2022 |
| TRIDE: A Temporal, Robust, and Informative Data Augmentation Framework for Disease Progression Modeling H Sohn, K Park, B Park, M Chi | | |
