Trie-Based Policy Representations for Network Firewalls. - Errin W. Fulp; Stephen J. Tarsa (ISCC, 2005)

Balancing Trie-Based Policy Representations for Network Firewalls. - Stephen J. Tarsa; Errin W. Fulp (ISCC, 2006)

Achieving High Throughput Ground-to-UAV Transport via Parallel Links. - Chit-Kwan Lin; H. T. Kung 001; Tsung-Han Lin; Stephen J. Tarsa; Dario Vlah (ICCCN, 2011)

Partitioned compressive sensing with neighbor-weighted decoding. - H. T. Kung 001; Stephen J. Tarsa (MILCOM, 2011)

Output compression for IC fault detection using compressive sensing. - Stephen J. Tarsa; H. T. Kung 001 (MILCOM, 2012)

Parallelization Primitives for Dynamic Sparse Computations. - Tsung-Han Lin; Stephen J. Tarsa; H. T. Kung 001 (HotPar, 2013)

Hierarchical Sparse Coding for Wireless Link Prediction in an Airborne Scenario. - Stephen J. Tarsa; H. T. Kung 001 (MILCOM, 2013)

Workload prediction for adaptive power scaling using deep learning. - Stephen J. Tarsa; Amit P. Kumar; H. T. Kung 001 (ICICDT, 2014)

Taming Wireless Fluctuations by Predictive Queuing Using a Sparse-Coding Link-State Model. - Stephen J. Tarsa; Marcus Z. Comiter; Michael B. Crouse; Bradley McDanel; H. T. Kung 001 (MobiHoc, 2015)

Branch Prediction Is Not A Solved Problem: Measurements, Opportunities, and Future Directions. - Chit-Kwan Lin; Stephen J. Tarsa (IISWC, 2019)

Post-silicon CPU adaptation made practical using machine learning. - Stephen J. Tarsa; Rangeen Basu Roy Chowdhury; Julien Sebot; Gautham N. Chinya; Jayesh Gaur; Karthik Sankaranarayanan; Chit-Kwan Lin; Robert Chappell; Ronak Singhal; Hong Wang (ISCA, 2019)

Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks. - Stephen J. Tarsa; Chit-Kwan Lin; Gokce Keskin; Gautham N. Chinya; Hong Wang (CoRR, 2019)

LLMD: A Large Language Model for Interpreting Longitudinal Medical Records. - Robert Porter; Adam Diehl; Benjamin Pastel; J. Henry Hinnefeld; Lawson Nerenberg; Pye Maung; Sebastien Kerbrat; Gillian Hanson; Troy Astorino; Stephen J. Tarsa (CoRR, 2024)