Sparse factor analysis for learning and content analytics AS Lan, AE Waters, C Studer, RG Baraniuk The Journal of Machine Learning Research 15 (1), 1959-2008, 2014 | 129 | 2014 |

Time-varying learning and content analytics via sparse factor analysis AS Lan, C Studer, RG Baraniuk Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 43 | 2014 |

Sparse factor analysis for analysis of user content preferences RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent 9,704,102, 2017 | 39 | 2017 |

Mathematical language processing: Automatic grading and feedback for open response mathematical questions AS Lan, D Vats, AE Waters, RG Baraniuk Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 167-176, 2015 | 30 | 2015 |

A Contextual Bandits Framework for Personalized Learning Action Selection. AS Lan, RG Baraniuk EDM, 424-429, 2016 | 29 | 2016 |

Matrix recovery from quantized and corrupted measurements AS Lan, C Studer, RG Baraniuk 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 28 | 2014 |

Sparse Factor Analysis for Learning Analytics and Content Analytics RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent App. 14/214,835, 2014 | 22 | 2014 |

Tag-aware ordinal sparse factor analysis for learning and content analytics AS Lan, C Studer, AE Waters, RG Baraniuk arXiv preprint arXiv:1412.5967, 2014 | 21 | 2014 |

Test-size reduction for concept estimation D Vats, C Studer, AS Lan, L Carin, R Baraniuk Educational Data Mining 2013, 2013 | 16 | 2013 |

Joint topic modeling and factor analysis of textual information and graded response data AS Lan, C Studer, AE Waters, RG Baraniuk arXiv preprint arXiv:1305.1956, 2013 | 12 | 2013 |

Quantized matrix completion for personalized learning AS Lan, C Studer, RG Baraniuk arXiv preprint arXiv:1412.5968, 2014 | 10 | 2014 |

QG-net: a data-driven question generation model for educational content Z Wang, AS Lan, W Nie, AE Waters, PJ Grimaldi, RG Baraniuk Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-10, 2018 | 9 | 2018 |

Behavior-Based Latent Variable Model for Learner Engagement AS Lan, CG Brinton, TY Yang, M Chiang International Conference on Educational Data Mining (EDM), 64-71, 2017 | 8 | 2017 |

Contextual multi-armed bandit algorithms for personalized learning action selection I Manickam, AS Lan, RG Baraniuk 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |

Dealbreaker: A nonlinear latent variable model for educational data A Lan, T Goldstein, R Baraniuk, C Studer International Conference on Machine Learning, 266-275, 2016 | 7 | 2016 |

Linear Spectral Estimators and an Application to Phase Retrieval R Ghods, AS Lan, T Goldstein, C Studer International Conference on Machine Learning (ICML), 2018 | 5 | 2018 |

Linearized binary regression AS Lan, M Chiang, C Studer 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2018 | 5 | 2018 |

Waters, and Richard G. Baraniuk. Mathematical language processing: Automatic grading and feedback for open response mathematical questions AS Lan, D Vats, E Andrew Learning@ Scale, 167-176, 2015 | 5 | 2015 |

Personalized Thread Recommendation for MOOC Discussion Forums AS Lan, JC Spencer, Z Chen, CG Brinton, M Chiang ECML-PKDD, 2018 | 4 | 2018 |

Phaselin: Linear phase retrieval R Ghods, AS Lan, T Goldstein, C Studer 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2018 | 4 | 2018 |