Yanqi Zhou
Yanqi Zhou
Verified email at google.com - Homepage
Cited by
Cited by
Exploring the limits of transfer learning with a unified text-to-text transformer
C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ...
arXiv preprint arXiv:1910.10683, 2019
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
YZ Sercan Arik, Gregory Diamos, Andrew Gibiansky, John Miller, Kainan Peng ...
Neural Information Processing Systems (NIPS), 2017
Deep learning scaling is predictable, empirically
J Hestness, S Narang, N Ardalani, G Diamos, H Jun, H Kianinejad, ...
arXiv preprint arXiv:1712.00409, 2017
Neural voice cloning with a few samples
SO Arik, J Chen, K Peng, W Ping, Y Zhou
arXiv preprint arXiv:1802.06006, 2018
OpenPiton: An open source manycore research framework
J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ...
ACM SIGPLAN Notices 51 (4), 217-232, 2016
Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx
A Memaripour, A Badam, A Phanishayee, Y Zhou, R Alagappan, ...
EuroSys '17 Proceedings of the Twelfth European Conference on Computer …, 2017
MITTS: Memory inter-arrival time traffic shaping
Y Zhou, D Wentzlaff
ACM SIGARCH Computer Architecture News 44 (3), 532-544, 2016
Resource-efficient neural architect
Y Zhou, S Ebrahimi, SÖ Arık, H Yu, H Liu, G Diamos
arXiv preprint arXiv:1806.07912, 2018
CASH: Supporting IaaS customers with a sub-core configurable architecture
Y Zhou, H Hoffmann, D Wentzlaff
ACM SIGARCH Computer Architecture News 44 (3), 682-694, 2016
The sharing architecture: sub-core configurability for IaaS clouds
Y Zhou, D Wentzlaff
ACM SIGPLAN Notices 49 (4), 559-574, 2014
Power and Energy Characterization of an Open Source 25-Core Manycore Processor.
M McKeown, A Lavrov, M Shahrad, PJ Jackson, Y Fu, J Balkind, ...
HPCA, 762-775, 2018
Piton: A manycore processor for multitenant clouds
M McKeown, Y Fu, T Nguyen, Y Zhou, J Balkind, A Lavrov, M Shahrad, ...
Ieee micro 37 (2), 70-80, 2017
Camouflage: Memory traffic shaping to mitigate timing attacks
Y Zhou, S Wagh, P Mittal, D Wentzlaff
2017 IEEE International Symposium on High Performance Computer Architecture …, 2017
Gdp: Generalized device placement for dataflow graphs
Y Zhou, S Roy, A Abdolrashidi, D Wong, PC Ma, Q Xu, M Zhong, H Liu, ...
arXiv preprint arXiv:1910.01578, 2019
Swift machine learning model serving scheduling: a region based reinforcement learning approach
H Qin, S Zawad, Y Zhou, L Yang, D Zhao, F Yan
Proceedings of the International Conference for High Performance Computing …, 2019
Transferable graph optimizers for ml compilers
Y Zhou, S Roy, A Abdolrashidi, D Wong, P Ma, Q Xu, H Liu, ...
arXiv preprint arXiv:2010.12438, 2020
HNVM: Hybrid NVM enabled datacenter design and optimization
Y Zhou, R Alagappan, A Memaripour, A Badam, D Wentzlaff
Microsoft Research TR, 2017
Neural architect: A multi-objective neural architecture search with performance prediction
Y Zhou, G Diamos
Proc. Conf. SysML, 1-3, 2018
Do Transformer Modifications Transfer Across Implementations and Applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...
arXiv preprint arXiv:2102.11972, 2021
A Learned Performance Model for Tensor Processing Units
S Kaufman, P Phothilimthana, Y Zhou, C Mendis, S Roy, A Sabne, ...
Proceedings of Machine Learning and Systems 3, 2021
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