A Neurophysiological Sensor Suite for Real-Time Prediction of Pilot Workload in Operational Settings. - Trevor Grant; Kaunil Dhruv; Lucca Eloy; Lucas Hayne; Kevin Durkee; Leanne M. Hirshfield (HCI (43), 2020)

Using Neural Networks for Two Dimensional Scientific Data Compression. - Lucas Hayne; John P. Clyne; Shaomeng Li (IEEE BigData, 2021)

An Empirical Deep Dive into Deep Learning's Driving Dynamics. - Charles Edison Tripp; Jordan Perr-Sauer; Lucas Hayne; Monte Lunacek (CoRR, 2022)

Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods. - Lucas Hayne; Abhijit Suresh; Hunar Jain; Rahul Kumar; R. McKell Carter (CoRR, 2022)

Does Representation Similarity Capture Function Similarity? - Lucas Hayne; Heejung Jung; R. McKell Carter (Trans. Mach. Learn. Res., 2024)

Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the Brain. - Leanne M. Hirshfield; Christopher D. Wickens; Emily Doherty; Cara A. Spencer; Tom Williams 001; Lucas Hayne (Int. J. Hum. Comput. Interact., 2024)

Defurnishing with X-Ray Vision: Joint Removal of Furniture from Panoramas and Mesh. - Alan Dolhasz; Chen Ma; Dave Gausebeck; Kevin Chen; Gregor Miller; Lucas Hayne; Gunnar Hovden; Azwad Sabik; Olaf Brandt; Mira Slavcheva (CVPR Workshops, 2025)