| 2026 | LAK | Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning. | Conrad Borchers, Ashish Gurung, Qinyi Liu, Danielle R. Thomas, Mohammad Khalil, Kenneth R. Koedinger |
| 2026 | LAK | Measuring the Impact of Student Gaming Behaviors on Learner Modeling. | Qinyi Liu, Lin Li, Valdemar Svbensk, Conrad Borchers, Mohammad Khalil |
| 2026 | WWW | Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN. | Qinyi Liu, Mohammad Khalil, Naman Goel |
| 2026 | SAC | ORCHID-RANKER: An Agentic Adaptive Recommender for Education with Privacy Guarantees. | Farhad Vadiee, Qinyi Liu, Mohammad Khalil |
| 2025 | LAK | Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. | Mohammad Khalil, Farhad Vadiee, Ronas Shakya, Qinyi Liu |
| 2025 | LAK | Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms. | Qinyi Liu, Oscar Blessed Deho, Farhad Vadiee, Mohammad Khalil, Srecko Joksimovic, George Siemens |
| 2025 | LAK | Advancing privacy in learning analytics using differential privacy. | Qinyi Liu, Ronas Shakya, Mohammad Khalil, Jelena Jovanovic |
| 2024 | EDUCON | Explainable AI in Learning Analytics: Improving Predictive Models and Advancing Transparency Trust. | Qinyi Liu, Mohammad Khalil |
| 2024 | LAK | Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. | Qinyi Liu, Mohammad Khalil, Jelena Jovanovic, Ronas Shakya |