| Mega-scale fabrication by contour crafting B Khoshnevis, D Hwang, KT Yao, Z Yeh International Journal of Industrial and Systems Engineering 1 (3), 301-320, 2006 | 545 | 2006 |
| 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 | 112 | 2018 |
| GPU passthrough performance: A comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL applications JP Walters, AJ Younge, DI Kang, KT Yao, M Kang, SP Crago, GC Fox 2014 IEEE 7th international conference on cloud computing, 636-643, 2014 | 107 | 2014 |
| Global model for failure prediction for artificial lift systems Y Liu, KT Yao, CS Raghavendra, A Wu, D Guo, J Zheng, L Olabinjo, ... US Patent 9,292,799, 2016 | 65 | 2016 |
| Data driven approach to failure prediction for electrical submersible pump systems D Guo, CS Raghavendra, KT Yao, M Harding, A Anvar, A Patel SPE Western Regional Meeting, SPE-174062-MS, 2015 | 43 | 2015 |
| 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 | 38 | 2018 |
| P4ML: A phased performance-based pipeline planner for automated machine learning Y Gil, KT Yao, V Ratnakar, D Garijo, G Ver Steeg, P Szekely, ... AutoML Workshop at ICML 24, 2018 | 38 | 2018 |
| System and method for failure prediction for rod pump artificial lift systems Y Liu, KT Yao, S Liu, CS Raghavendra, L Olabinjo, FB Seren, ... US Patent 8,988,236, 2015 | 32 | 2015 |
| Failure prediction for rod pump artificial lift systems Y Liu, K Yao, S Liu, CS Raghavendra, TL Lenz, L Olabinjo, B Seren, ... SPE Western Regional Meeting, SPE-133545-MS, 2010 | 31 | 2010 |
| System and method for failure prediction for artificial lift systems Y Liu, KT Yao, S Liu, CS Raghavendra, OO Balogun, L Olabinjo US Patent 8,988,237, 2015 | 26 | 2015 |
| Collaborative information space analysis tools R Neches, S Abhinkar, F Hu, R Eleish, IY Ko, KT Yao, Q Zhu, P Will D-lib Magazine 4 (9), 1998 | 26 | 1998 |
| System and method for failure detection for artificial lift systems S Liu, CS Raghavendra, Y Liu, KT Yao, OO Balogun, O Olabinjo, ... US Patent 9,280,517, 2016 | 25 | 2016 |
| 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 | 23 | 2015 |
| Automatic early fault detection for rod pump systems S Liu, CS Raghavendra, Y Liu, K Yao, O Balogun, L Olabinjo, R Soma, ... SPE Annual Technical Conference and Exhibition?, SPE-146038-MS, 2011 | 23 | 2011 |
| Synchronous and asynchronous collaborative information space analysis tools KT Yao, R Neches, IY Ko, R Eleish, S Abhinkar Proceedings of the 1999 ICPP Workshops on Collaboration and Mobile Computing …, 1999 | 23 | 1999 |
| Enabling 1,000,000-entity simulations on distributed Linux clusters G Wagenbreth, KT Yao, DM Davis, RF Lucas, TD Gottschalk Proceedings of the Winter Simulation Conference, 2005., 12 pp., 2005 | 22 | 2005 |
| Global model for failure prediction for rod pump artificial lift systems Y Liu, KT Yao, CS Raghavenda, A Wu, D Guo, J Zheng, L Olabinjo, ... SPE Western Regional Meeting, SPE-165374-MS, 2013 | 21 | 2013 |
| Semi-supervised failure prediction for oil production wells Y Liu, KT Yao, S Liu, CS Raghavendra, O Balogun, L Olabinjo 2011 IEEE 11th International conference on data mining workshops, 434-441, 2011 | 20 | 2011 |
| Dynamic coordination of information management services for processing dynamic web content IY Ko, KT Yao, R Neches Proceedings of the 11th international conference on World Wide Web, 355-365, 2002 | 20 | 2002 |
| Simulation data grid: joint experimentation data management and analysis KT Yao, G Wagenbreth JOINT EXPERIMENT ON SCALABLE PARALLEL PROCESSORS (JESPP) PARALLEL DATA …, 2006 | 19 | 2006 |
