| A study of complex deep learning networks on high-performance, neuromorphic, and quantum computers TE Potok, C Schuman, S Young, R Patton, F Spedalieri, J Liu, KT Yao, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-21, 2018 | 121 | 2018 |
| Adiabatic quantum computation applied to deep learning networks J Liu, FM Spedalieri, KT Yao, TE Potok, C Schuman, S Young, R Patton, ... Entropy 20 (5), 380, 2018 | 42 | 2018 |
| Autoencoder-derived features as inputs to classification algorithms for predicting well failures J Liu, A Jaiswal, KT Yao, CS Raghavendra SPE Western Regional Meeting, SPE-174015-MS, 2015 | 25 | 2015 |
| Autoencoder-derived features as inputs to classification algorithms for predicting failures JJ Liu, A Jaiswal, KT Yao, CS Raghavendra US Patent App. 15/496,995, 2017 | 19 | 2017 |
| Boltzmann machine modeling of layered MoS2 synthesis on a quantum annealer J Liu, A Mohan, RK Kalia, A Nakano, K Nomura, P Vashishta, KT Yao Computational Materials Science 173, 109429, 2020 | 15 | 2020 |
| Dynamic topology reconfiguration of Boltzmann machines on quantum annealers J Liu, KT Yao, F Spedalieri Entropy 22 (11), 1202, 2020 | 8 | 2020 |
| New Technologies to Enhance Computer Generated Interactive Virtual Humans KT Yao, DM Davis, JJ Liu, NJ Kaimakis the Proceedings of the SISO Fall Simulation Innovation Workshop, Orlando …, 2018 | 7 | 2018 |
| Characterizing Molecular-Dynamics Simulations Using Non-Local Spatial-Temporal Metrics J Liu, KT Yao, A Nakano, P Rajak Proceedings of the International Conference on Scientific Computing (CSC …, 2017 | | 2017 |
| SPE-174015-MS J Liu, AJ ISI USC, T Yao, CSR ISI USC | | 2015 |
