Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware. - Anthony J. Sherbondy; Michael Houston; Sandy Napel (IEEE Visualization, 2003)

A portable runtime interface for multi-level memory hierarchies. - Michael Houston (2008)

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors. - Jayanth Gummaraju; Laurent Morichetti; Michael Houston; Ben Sander; Benedict R. Gaster; Bixia Zheng (PACT, 2010)

ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs. - Budirijanto Purnomo; Norman Rubin; Michael Houston (SIGGRAPH Posters, 2010)

Merasa: Multicore Execution of Hard Real-Time Applications Supporting Analyzability. - Theo Ungerer; Francisco J. Cazorla; Pascal Sainrat; Guillem Bernat; Zlatko Petrov; Christine Rochange; Eduardo Quiñones; Mike Gerdes 001; Marco Paolieri; Julian Wolf 002; Hugues Cassé; Sascha Uhrig; et al. (IEEE Micro, 2010)

Large drilling machine control code - Parallelisation and WCET speedup. - Mike Gerdes 001; Julian Wolf 002; Irakli Guliashvili; Theo Ungerer; Michael Houston; Guillem Bernat; Stefan Schnitzler; Hans Regler (SIES, 2011)

A practical visualization strategy for large-scale supernovae CFD simulations. - Derek K. Gerstmann; Toby Potter; Michael Houston; Paul Bourke; Kwan-Liu Ma; Andreas Wicenec (SIGGRAPH Asia Sketches, 2011)

Measurement-Based Probabilistic Timing Analysis for Multi-path Programs. - Liliana Cucu-Grosjean; Luca Santinelli; Michael Houston; Code Lo; Tullio Vardanega; Leonidas Kosmidis; Jaume Abella 001; Enrico Mezzetti; Eduardo Quiñones; Francisco J. Cazorla (ECRTS, 2012)

PROARTIS: Probabilistically Analyzable Real-Time Systems. - Francisco J. Cazorla; Eduardo Quiñones; Tullio Vardanega; Liliana Cucu; Benoit Triquet; Guillem Bernat; Emery D. Berger; Jaume Abella 001; Franck Wartel; Michael Houston; Luca Santinelli; Leonidas Kosmidis; et al. (ACM Trans. Embed. Comput. Syst., 2013)

Mixed Precision Training. - Paulius Micikevicius; Sharan Narang; Jonah Alben; Gregory F. Diamos; Erich Elsen; David García; Boris Ginsburg; Michael Houston; Oleksii Kuchaiev; Ganesh Venkatesh; Hao Wu (ICLR (Poster), 2018)

Exascale deep learning for climate analytics. - Thorsten Kurth; Sean Treichler; Joshua Romero; Mayur Mudigonda; Nathan Luehr; Everett H. Phillips; Ankur Mahesh; Michael A. Matheson; Jack Deslippe; Massimiliano Fatica; Prabhat; Michael Houston (SC, 2018)

Underlying modulators of frontal global field potentials in emotion regulation: an EEG-informed fMRI study. - Feng Fang; Michael Houston; Sasha Walker; Thinh Nguyen; Tom Potter 001; Yingchun Zhang (NER, 2019)

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. - Liu Yang; Prabhat; George E. Karniadakis; Sean Treichler; Thorsten Kurth; Keno Fischer; David A. Barajas-Solano; Joshua Romero; Valentin Churavy; Alexandre M. Tartakovsky; Michael Houston (DLS@SC, 2019)

Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. - Liu Yang; Sean Treichler; Thorsten Kurth; Keno Fischer; David A. Barajas-Solano; Joshua Romero; Valentin Churavy; Alexandre M. Tartakovsky; Michael Houston; Prabhat; George E. Karniadakis (CoRR, 2019)

Altered Muscle Networks in Post-Stroke Survivors. - Michael Houston; Rihui Li; Jinsook Roh; Yingchun Zhang (EMBC, 2020)

Optimizing Input for Gesture Recognition using Convolutional Networks on HD-sEMG Instantaneous Images. - Michael Houston; Albon Wu; Yingchun Zhang (EMBC, 2021)

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. - Shaden Smith; Mostofa Patwary; Brandon Norick; Patrick LeGresley; Samyam Rajbhandari; Jared Casper; Zhun Liu; Shrimai Prabhumoye; George Zerveas; Vijay Korthikanti; Elton Zheng; Rewon Child; et al. (CoRR, 2022)

Image Segmentation for High-Density Surface Electromyography Mappings of Pelvic Floor Muscle Activity of Women with Interstitial Cystitis/Bladder Pain Syndrome. - Michael Houston; Nicholas Dias; Theresa Spitznagle; Marcie Harris-Hayes; H. Henry Lai; Yingchun Zhang (EMBC, 2023)

Expanding the repertoire of intermuscular coordination patterns and modulating intermuscular connectivity in stroke-affected upper extremity through electromyogram-guided training: a pilot study. - Gang Seo; Michael Houston; Manuel Portilla; Feng Fang; Jeong-Ho Park; Hangil Lee; Sheng Li; Hyung-Soon Park; Yingchun Zhang; Jinsook Roh (EMBC, 2023)

Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model. - Yunyuan Gao; Biao Jia; Michael Houston; Yingchun Zhang (IEEE Trans. Instrum. Meas., 2023)

High-Density Electromyography Biomarkers for Detecting and Monitoring of Spastic Muscles During Passive Stretch. - Nhi Nguyen; Michael Houston; Yang Liu; Yen-Ting Chen; Sheng Li; Yingchun Zhang (EMBC, 2024)

Improving impaired intermuscular coordination after stroke through synergy-guided human-machine interaction: a pilot study. - Manuel Portilla-Jiménez; Gang Seo; Michael Houston; Yoon No Gregory Hong; Sheng Li; Hyung-Soon Park; Yingchun Zhang; Jinsook Roh (EMBC, 2024)

Modulating Inter-Muscular Coordination Patterns in the Upper Extremity Induces Changes to Inter-Muscular, Cortico-Muscular, and Cortico-Cortical Connectivity. - Michael Houston; Gang Seo; Feng Fang; Jeong-Ho Park; Hyung-Soon Park; Jinsook Roh; Yingchun Zhang (IEEE J. Biomed. Health Informatics, 2024)

A novel multi-morphological representation approach for multi-source EEG signals. - Yunyuan Gao; Yici Liu; Ming Meng; Feng Fang; Michael Houston; Yingchun Zhang (Neurocomputing, 2025)

Multi-domain feature analysis of MI-EEG signals using tensor train decomposition and projected gradient Non-negative Matrix Factorization. - Yunyuan Gao; Wang Xie; Zhizeng Luo; Michael Houston; Yingchun Zhang (Neurocomputing, 2025)