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2020 – today
- 2025
[j4]Yunyuan Gao, Yici Liu, Ming Meng, Feng Fang, Michael Houston, Yingchun Zhang:
A novel multi-morphological representation approach for multi-source EEG signals. Neurocomputing 617: 129010 (2025)- 2023
- [j3]Yunyuan Gao
, Biao Jia, Michael Houston, Yingchun Zhang:
Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c14]Michael Houston, Nicholas Dias, Theresa Spitznagle, Marcie Harris-Hayes, H. Henry Lai, Yingchun Zhang:
Image Segmentation for High-Density Surface Electromyography Mappings of Pelvic Floor Muscle Activity of Women with Interstitial Cystitis/Bladder Pain Syndrome. EMBC 2023: 1-4 - [c13]Gang Seo, Michael Houston, Manuel Portilla, Feng Fang, Jeong-Ho Park, Hangil Lee, Sheng Li, Hyung-Soon Park, Yingchun Zhang, Jinsook Roh:
Expanding the repertoire of intermuscular coordination patterns and modulating intermuscular connectivity in stroke-affected upper extremity through electromyogram-guided training: a pilot study. EMBC 2023: 1-4 - 2022
- [i4]Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro:
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR abs/2201.11990 (2022) - 2021
- [c12]Michael Houston, Albon Wu, Yingchun Zhang:
Optimizing Input for Gesture Recognition using Convolutional Networks on HD-sEMG Instantaneous Images. EMBC 2021: 6539-6542 - 2020
- [c11]Michael Houston, Rihui Li, Jinsook Roh, Yingchun Zhang:
Altered Muscle Networks in Post-Stroke Survivors. EMBC 2020: 3771-3774
2010 – 2019
- 2019
- [c10]Feng Fang, Michael Houston, Sasha Walker, Thinh Nguyen, Tom Potter, Yingchun Zhang:
Underlying modulators of frontal global field potentials in emotion regulation: an EEG-informed fMRI study. NER 2019: 949-952 - [c9]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:
Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. DLS@SC 2019: 1-11 - [i3]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:
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. CoRR abs/1910.13444 (2019) - 2018
- [c8]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [c7]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:
Exascale deep learning for climate analytics. SC 2018: 51:1-51:12 - [i2]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:
Exascale Deep Learning for Climate Analytics. CoRR abs/1810.01993 (2018) - 2017
- [i1]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - 2013
- [j2]Francisco J. Cazorla, Eduardo Quiñones, Tullio Vardanega, Liliana Cucu, Benoit Triquet, Guillem Bernat, Emery D. Berger, Jaume Abella, Franck Wartel, Michael Houston, Luca Santinelli, Leonidas Kosmidis, Code Lo, Dorin Maxim:
PROARTIS: Probabilistically Analyzable Real-Time Systems. ACM Trans. Embed. Comput. Syst. 12(2s): 94:1-94:26 (2013) - 2012
- [c6]Liliana Cucu-Grosjean, Luca Santinelli, Michael Houston, Code Lo, Tullio Vardanega, Leonidas Kosmidis, Jaume Abella, Enrico Mezzetti, Eduardo Quiñones, Francisco J. Cazorla:
Measurement-Based Probabilistic Timing Analysis for Multi-path Programs. ECRTS 2012: 91-101 - 2011
- [c5]Mike Gerdes, Julian Wolf, Irakli Guliashvili, Theo Ungerer, Michael Houston, Guillem Bernat, Stefan Schnitzler, Hans Regler:
Large drilling machine control code - Parallelisation and WCET speedup. SIES 2011: 91-94 - [c4]Derek K. Gerstmann, Toby Potter, Michael Houston, Paul Bourke, Kwan-Liu Ma, Andreas Wicenec:
A practical visualization strategy for large-scale supernovae CFD simulations. SIGGRAPH Asia Sketches 2011: 15:1-15:2 - 2010
- [j1]Theo Ungerer, Francisco J. Cazorla, Pascal Sainrat, Guillem Bernat, Zlatko Petrov, Christine Rochange, Eduardo Quiñones, Mike Gerdes, Marco Paolieri, Julian Wolf, Hugues Cassé, Sascha Uhrig, Irakli Guliashvili, Michael Houston, Florian Kluge, Stefan Metzlaff, Jörg Mische:
Merasa: Multicore Execution of Hard Real-Time Applications Supporting Analyzability. IEEE Micro 30(5): 66-75 (2010) - [c3]Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng:
Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors. PACT 2010: 205-216 - [c2]Budirijanto Purnomo, Norman Rubin, Michael Houston:
ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs. SIGGRAPH Posters 2010: 54:1
2000 – 2009
- 2008
- [b1]Michael Houston:
A portable runtime interface for multi-level memory hierarchies. Stanford University, USA, 2008 - 2003
- [c1]Anthony J. Sherbondy, Michael Houston, Sandy Napel:
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware. IEEE Visualization 2003: 171-176
Coauthor Index
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