**See all my publications on Google Scholar**

# Selected publications

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, to appear
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, to appear
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