| ATTAIN: Attention-based time-aware LSTM networks for disease progression modeling. Y Zhang, X Yang, J Ivy, M Chi In Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 101 | 2019 |
| A theoretical and evidence-based conceptual design of metadash: An intelligent teacher dashboard to support teachers' decision making and students’ self-regulated learning MD Wiedbusch, V Kite, X Yang, S Park, M Chi, M Taub, R Azevedo Frontiers in education 6, 570229, 2021 | 34 | 2021 |
| A reinforcement learning-informed pattern mining framework for multivariate time series classification G Gao, Q Gao, X Yang, M Pajic, M Chi In the Proceeding of 31st International Joint Conference on Artificial …, 2022 | 30 | 2022 |
| Time-aware subgroup matrix decomposition: Imputing missing data using forecasting events X Yang, Y Zhang, M Chi 2018 IEEE International Conference on Big Data (Big Data), 1524-1533, 2018 | 22 | 2018 |
| Student Subtyping via EM-Inverse Reinforcement Learning. X Yang, G Zhou, M Taub, R Azevedo, M Chi International Educational Data Mining Society, 2020 | 15 | 2020 |
| Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. X Yang, Y Zhang, M Chi Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 14 | 2021 |
| Improving student-system interaction through data-driven explanations of hierarchical reinforcement learning induced pedagogical policies G Zhou, X Yang, H Azizsoltani, T Barnes, M Chi Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 14 | 2020 |
| Functional connectivity network fusion with dynamic thresholding for MCI diagnosis X Yang, Y Jin, X Chen, H Zhang, G Li, D Shen Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016 | 14 | 2016 |
| Time-aware adversarial networks for adapting disease progression modeling Y Zhang, X Yang, J Ivy, M Chi 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2019 | 12 | 2019 |
| Double layer multiple task learning for age estimation with insufficient training samples Y Ma, J Liu, X Yang, Y Liu, N Zheng Neurocomputing 147, 380-386, 2015 | 12 | 2015 |
| XAI to increase the effectiveness of an Intelligent Pedagogical Agent JW Hostetter, C Conati, X Yang, M Abdelshiheed, T Barnes, M Chi Proceedings of the 23rd ACM International Conference on Intelligent Virtual …, 2023 | 11 | 2023 |
| Mixing backward-with forward-chaining for metacognitive skill acquisition and transfer M Abdelshiheed, JW Hostetter, X Yang, T Barnes, M Chi International Conference on Artificial Intelligence in Education, 546-552, 2022 | 11 | 2022 |
| Facial age estimation from web photos using multiple-instance learning X Yang, J Liu, Y Ma, J Xue 2014 IEEE international conference on multimedia and expo (ICME), 1-6, 2014 | 10 | 2014 |
| A fault injection platform for learning AIOps models F Bagehorn, J Rios, S Jha, R Filepp, L Shwartz, N Abe, X Yang Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 6 | 2022 |
| Missing data imputation for MIMIC-III using matrix decomposition X Yang, YJ Kim, F Khoshnevisan, Y Zhang, M Chi 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 6 | 2019 |
| PRIME: block-wise missingness handling for multi-modalities in intelligent tutoring systems X Yang, YJ Kim, M Taub, R Azevedo, M Chi MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020 | 5 | 2020 |
| Fault injection based interventional causal learning for distributed applications Q Wang, J Rios, S Jha, K Shanmugam, F Bagehorn, X Yang, R Filepp, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15738 …, 2023 | 4 | 2023 |
| Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning S Ju, X Yang, T Barnes, M Chi International Conference on Artificial Intelligence in Education, 440-452, 2022 | 4 | 2022 |
| Get a head start: On-demand pedagogical policy selection in intelligent tutoring G Gao, X Yang, M Chi Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12136 …, 2024 | 3 | 2024 |
| An offline time-aware apprenticeship learning framework for evolving reward functions X Yang, G Gao, M Chi arXiv preprint arXiv:2305.09070, 2023 | 3 | 2023 |
