| 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 | 147 | 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 | 53 | 2014 |
| Sparse factor analysis for analysis of user content preferences RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent 9,704,102, 2017 | 51 | 2017 |
| A Contextual Bandits Framework for Personalized Learning Action Selection. AS Lan, RG Baraniuk EDM, 424-429, 2016 | 43 | 2016 |
| Matrix recovery from quantized and corrupted measurements AS Lan, C Studer, RG Baraniuk 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 34 | 2014 |
| 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 | 33 | 2015 |
| Sparse Factor Analysis for Learning Analytics and Content Analytics RG Baraniuk, AS Lan, CE Studer, AE Waters US Patent App. 14/214,835, 2014 | 27 | 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 | 20 | 2018 |
| 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 | 20 | 2014 |
| 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 | 18 | 2017 |
| Personalized Thread Recommendation for MOOC Discussion Forums AS Lan, JC Spencer, Z Chen, CG Brinton, M Chiang ECML-PKDD, 2018 | 17 | 2018 |
| Test-size reduction for concept estimation D Vats, C Studer, AS Lan, L Carin, R Baraniuk Educational Data Mining 2013, 2013 | 15 | 2013 |
| 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 | 13 | 2017 |
| 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 | 11 | 2013 |
| Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies M Khodak, L Zheng, AS Lan, C Joe-Wong, M Chiang IEEE INFOCOM, 2018 | 10 | 2018 |
| Quantized matrix completion for personalized learning AS Lan, C Studer, RG Baraniuk arXiv preprint arXiv:1412.5968, 2014 | 10 | 2014 |
| On the efficiency of online social learning networks CG Brinton, S Buccapatnam, L Zheng, D Cao, AS Lan, FMF Wong, S Ha, ... IEEE/ACM Transactions on Networking 26 (5), 2076-2089, 2018 | 9 | 2018 |
| 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 | 9 | 2016 |
| Waters, and Richard G. Baraniuk. Mathematical language processing: Automatic grading and feedback for open response mathematical questions AS Lan, D Vats, E Andrew arXiv preprint arXiv:1501.04346, 2015 | 8 | 2015 |
| Active Learning for Student Affect Detection TY Yang, RS Baker, C Studer, N Heffernan, AS Lan International Conference on Educational Data Mining (EDM), 208-217, 2019 | 7 | 2019 |
