| Going deeper with deep knowledge tracing. X Xiong, S Zhao, EG Van Inwegen, JE Beck International Educational Data Mining Society, 2016 | 247 | 2016 |
| Incorporating rich features into deep knowledge tracing L Zhang, X Xiong, S Zhao, A Botelho, NT Heffernan Proceedings of the fourth (2017) ACM conference on learning@ scale, 169-172, 2017 | 147 | 2017 |
| Condensed Memory Networks for Clinical Diagnostic Inferencing A Prakash, S Zhao, SA Hasan, V Datla, K Lee, A Qadir, J Liu, O Farri Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 121 | 2017 |
| A Memory-Augmented Neural Model for Automated Grading S Zhao, Y Zhang, X Xiong, A Botelho, N Heffernan Proceedings of the Fourth Annual ACM Conference on Learning at Scale, 2017 | 86 | 2017 |
| Estimating student proficiency: Deep learning is not the panacea KH Wilson, X Xiong, M Khajah, RV Lindsey, S Zhao, Y Karklin, ... In Neural information processing systems, workshop on machine learning for …, 2016 | 67 | 2016 |
| Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks S Zhao, N Heffernan International Conference on Educational Data Mining (EDM), 2017 | 28 | 2017 |
| Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph. SA Hasan, S Zhao, VV Datla, J Liu, K Lee, A Qadir, A Prakash, O Farri TREC, 2016 | 16 | 2016 |
| Systems, methods, and apparatus for diagnostic inferencing with a multimodal deep memory network SS Al Hasan, S Zhao, OF Farri, KMY Lee, V Datla, A Qadir, J Liu, ... US Patent 11,621,075, 2023 | 5 | 2023 |
| Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials S Zhao WPI, 2018 | | 2018 |
Xiaolu XiongWorcester Polytechnic InstituteVerified email at wpi.edu
