Mrs: MapReduce for Scientific Computing in Python. - Andrew W. McNabb; Jeffrey Lund; Kevin D. Seppi (SC Companion, 2012)

Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models. - Thang Nguyen 001; Jordan L. Boyd-Graber; Jeffrey Lund; Kevin D. Seppi; Eric K. Ringger (HLT-NAACL, 2015)

Fast Inference for Interactive Models of Text. - Jeffrey Lund; Paul Felt; Kevin D. Seppi; Eric K. Ringger (COLING, 2016)

Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. - Jeffrey Lund; Chace Ashcraft; Andrew W. McNabb; Kevin D. Seppi (PyHPC@SC, 2016)

Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. - Jeffrey Lund; Connor Cook; Kevin D. Seppi; Jordan L. Boyd-Graber (ACL (1), 2017)

Why ADAGRAD Fails for Online Topic Modeling. - You Lu 003; Jeffrey Lund; Jordan L. Boyd-Graber (EMNLP, 2017)

Labeled Anchors and a Scalable, Transparent, and Interactive Classifier. - Jeffrey Lund; Stephen Cowley; Wilson Fearn; Emily Hales; Kevin D. Seppi (EMNLP, 2018)

Movie Recommendations Using the Deep Learning Approach. - Jeffrey Lund; Yiu-Kai Ng (IRI, 2018)

Automatic Evaluation of Local Topic Quality. - Jeffrey Lund; Piper Armstrong; Wilson Fearn; Stephen Cowley; Courtni Byun; Jordan L. Boyd-Graber; Kevin D. Seppi (ACL (1), 2019)

Cross-referencing Using Fine-grained Topic Modeling. - Jeffrey Lund; Piper Armstrong; Wilson Fearn; Stephen Cowley; Emily Hales; Kevin D. Seppi (NAACL-HLT (1), 2019)