**See all my publications on Google Scholar**

# Selected publications

Z. Wang, A. S. Lan, A. E. Waters, P. Grimaldi, and R. G. Baraniuk,

*"A Meta-Learning Approach to Automatic Short Answer Grading"*International Conference on Educational Data Mining (EDM), July 2019, to appear
T. Yang, C. Studer, R. Baker, N. Heffernan, and A. S. Lan,

*"Active Learning for Student Affect Detection,"*International Conference on Educational Data Mining (EDM), July 2019, to appear
Z. Ren, X. Ning, A. S. Lan, and H. Rangwala,

*"Grade Prediction Based on Cumulative Knowledge and Co-taken Courses,"*International Conference on Educational Data Mining (EDM), July 2019, to appear
W. Tu, C. Brinton, A. S. Lan, and M. Chiang,

*"Adaptive Remediation with Multi-modal Content,"*International Conference on Human-Computer Interaction (HCII), July 2019, to appear (invited paper)
C. Brinton, T. Yang, P. Hansen, R. Bustamante, E. Tenorio, M. Chiang, and A. S. Lan,

*"Joint Prediction of Response Quality and Timing in Online Discussion Forums,"*IEEE International Conference on Distributed Computing Systems (ICDCS), July 2019, to appear
P. Naghizadeh, M. Gorlatova, A. S. Lan, and M. Chiang,

*"Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning,"*IEEE International Conference on Computer Communications (INFOCOM), Apr. 2019
T. Yang, C. Brinton, P. Mittal, M. Chiang, and A. S. Lan,

*"Learning Informative and Private Representations via Generative Adversarial Networks,"*IEEE International Conference on Big Data, Dec. 2018
C. Brinton, S. Buccapatnam, L. Zheng, D. Cao, A. S. Lan, F. Wong, S. Ha, M. Chiang, and H. V. Poor,

*"On the Efficiency of Online Social Learning Networks,"*IEEE Transactions on Networking (TON), Vol. 26, Issue 5, pp. 2076-2089, Oct. 2018
A. S. Lan, J. Spencer, Z. Chen, C. Brinton, and M. Chiang,

*"Personalized Thread Recommendation for MOOC Discussion Forums,"*European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Sep. 2018
A. Aghazadeh, M. Golbabaee, A. S. Lan, and R. G. Baraniuk,

*"Insense: Incoherent Sensor Selection for Sparse Signals,"*Signal Processing, Vol. 150, pp. 57-65, Sep. 2018
A. S. Lan, M. Chiang, and C. Studer,

*"An Estimation and Analysis Framework for the Rasch Model,"*International Conference on Machine Learning (ICML), pp. 2889-2897, July 2018
R. Ghods, A. S. Lan, T. Goldstein, and C. Studer,

*"Linear Spectral Estimators and an Application to Phase Retrieval,"*International Conference on Machine Learning (ICML), pp. 1729-1738, July 2018
W. Chen, A. S. Lan, D. Cao, C. Brinton, and M. Chiang,

*"Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams,"*International Conference on Educational Data Mining (EDM), pp. 66-75, July 2018
A. Winchell, M. C. Mozer, A. S. Lan, P. Grimaldi, and H. Pashler,

*"Textbook Annotations as an Early Predictor of Student Learning,"*International Conference on Educational Data Mining (EDM), pp. 431-437, July 2018
Z. Wang, A. S. Lan, W. Nie, P. Grimaldi, R. Schloss, and R. G. Baraniuk,

*"QG-Net: A Data-Driven Question Generation Model for Educational Content,"*ACM Conference on Learning at Scale (L@S), pp. 1-10, June 2018
D. Cao, A. S. Lan, W. Chen, C. Brinton, and M. Chiang,

*"Learner Behavioral Feature Refinement and Augmentation using GANs,"*International Conference on Artificial Intelligence in Education (AIED), pp. 41-46, June 2018
M. Khodak, L. Zheng, A. S. Lan, C. Joe-Wong, and M. Chiang,

*"Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies,"*IEEE International Conference on Computer Communications (INFOCOM), Apr. 2018
A. S. Lan, M. Chiang, and C. Studer,

*"Linearized Binary Regression,"*Conference on Information Sciences and Systems (CISS), pp. 1-6, Mar. 2018
R. Ghods, A. S. Lan, T. Goldstein, and C. Studer,

*"PhaseLin: Linear Phase Retrieval,"*Conference on Information Sciences and Systems (CISS), pp. 1-6, Mar. 2018
A. S. Lan, A. E. Waters, C. Studer, and R. G. Baraniuk,

*"BLAh: Boolean Logic Analysis for Graded Student Response Data,"*IEEE Journal of Selected Topics in Signal Processing (JSTSP), Vol. 11, Issue 5, pp. 754-764, Aug. 2017
A. Aghazadeh, A. S. Lan, A. Shrivastava, and R. G. Baraniuk,

*"RHash: Robust Hashing via \ell_{\infty}-norm Distortion,"*Proc. International Joint Conference on Artificial Intelligence (IJCAI), pp. 1386-1394, Aug. 2017
A. S. Lan, C. Brinton, T. Yang, and M. Chiang,

*"Behavior-Based Latent Variable Model for Learner Engagement,"*Proc. International Conference on Educational Data Mining (EDM), pp. 64-71, June 2017
J. Michalenko, A. S. Lan, and R. G. Baraniuk,

*"Data-mining Textual Responses to Uncover Misconception Patterns,"*Proc. International Conference on Educational Data Mining (EDM), pp. 208-213, June 2017
Z. Wang, A. S. Lan, and R. G. Baraniuk,

*"A Latent Factor Model For Instructor Content Preference Analysis,"*Proc. International Conference on Educational Data Mining (EDM), pp. 290-295, June 2017
A. E. Waters, P. Grimaldi, A. S. Lan, and R. G. Baraniuk,

*"Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact,"*Proc. International Conference on Educational Data Mining (EDM), pp. 374-375, June 2017
J. Michalenko, A. S. Lan, and R. G. Baraniuk,

*"Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks,"*Proc. International Conference on Educational Data Mining (EDM), pp. 350-351, June 2017
J. Michalenko, A. S. Lan, and R. G. Baraniuk,

*"Data-mining Textual Responses to Uncover Misconception Patterns,"*Proc. ACM Conference on Learning at Scale (L@S), pp. 245-248, Apr. 2017 (work-in-progress session)
I. Manickam, A. S. Lan, and R. G. Baraniuk,

*"Contextual Multi-armed Bandit Algorithms for Personalized Learning Action Selection,"*Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6344-6348, Mar. 2017 (invited paper)
D. Vats, A. S. Lan, C. Studer, and R. G. Baraniuk,

*"Optimal Ranking of Test Items using the Rasch Model,"*Proc. 51th Annual Allerton Conference on Communication, Control, and Computing, Sep. 2016
A. S. Lan and R. G. Baraniuk,

*"A Contextual Bandits Framework for Personalized Learning Action Selection,"*Proc. International Conference on Educational Data Mining (EDM), pp. 424–429, June 2016
A. S. Lan, T. Goldstein, R. G. Baraniuk, and C. Studer,

*"Dealbreaker: A Nonlinear Latent Variable Model for Educational Data,"*Proc. International Conference on Machine Learning (ICML), pp. 266–275, June 2016
A. S. Lan, C. Studer, and R. G. Baraniuk,

*"Self-Expressive Clustering of Binary Data via Group Sparsity,"*Proc. Signal Processing with Adaptive Sparse Structured Representations (SPARS), July 2015
A. S. Lan, D. Vats, A. E. Waters, and R. G. Baraniuk,

*"Mathematica Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions,"*Proc. ACM Conference on Learning at Scale (L@S), pp. 167–176, Mar. 2015
A. S. Lan, C. Studer, and R. G. Baraniuk,

*"Time-Varying Learning and Content Analytics via Sparse Factor Analysis,"*Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp 452–461, Aug. 2014
A. S. Lan, C. Studer, and R. G. Baraniuk,

*"Quantized Matrix Completion for Personalized Learning,"*Proc. International Conference on Educational Data Mining (EDM), pp. 292–295, July 2014
A. S. Lan, A. E. Waters, C. Studer, and R. G. Baraniuk,

*"Sparse Factor Analysis for Learning and Content Analytics,"*Journal of Machine Learning Research (JMLR), Vol. 15, pp. 1959–2008, June 2014
A. S. Lan, C. Studer, and R. G. Baraniuk,

*"Matrix Recovery from Quantized and Corrupted Measurements,"*Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4973–4977, May 2014
D. Vats, C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk,

*"Test-size Reduction for Concept Estimation,"*Proc. International Conference on Educational Data Mining (EDM), pp. 292–295, July 2013
A. S. Lan, C. Studer, A. E. Waters, and R. G. Baraniuk,

*"Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data,"*Proc. International Conference on Educational Data Mining (EDM), pp. 324–325, July 2013
A. S. Lan, C. Studer, A. E. Waters, and R. G. Baraniuk,

*"Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics,"*Proc. International Conference on Educational Data Mining (EDM), pp. 90–97, July 2013
A. E. Waters, A. S. Lan, and C. Studer,

*"Sparse Probit Factor Analysis for Learning Analytics,"*Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8776–8780, July 2013 (invited paper)# Preprints

A. E. Waters, A. S. Lan, R. Ning, C. Studer, and R. G. Baraniuk,

*"SPRITE: A Data-Driven Response Model For Multiple Choice Questions,"*Feb. 2016
D. Vats, C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk,

*"Test-size Reduction via Sparse Factor Analysis,"*Apr. 2014# Patents

R. G. Baraniuk, A. S. Lan, C. Studer, and A. E. Waters,

*"Sparse Factor Analysis for Learning Analytics and Content Analytics,"*US Patent 9,704,102, July 2017
A. S. Lan, D. Vats, A. E. Waters, and R. G. Baraniuk,

*"Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions,"*US Patent App. No. 14/967,131, June 2016