| 2025 | AIED | Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs. | Wanyong Feng, Peter Tran, Stephen Sireci, Andrew S. Lan |
| 2025 | AIED | From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics. | Jaewook Lee, Jeongah Lee, Wanyong Feng, Andrew Lan |
| 2024 | EMNLP | DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. | Nigel Fernandez, Alexander Scarlatos, Wanyong Feng, Simon Woodhead, Andrew S. Lan |
| 2024 | NAACL | Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. | Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew S. Lan |
| 2023 | AIED | Balancing Test Accuracy and Security in Computerized Adaptive Testing. | Wanyong Feng, Aritra Ghosh, Stephen Sireci, Andrew S. Lan |
| 2023 | EDM | A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. | Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan |