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2020 – today
- 2021
[i13]Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon:
Apollo: Transferable Architecture Exploration. CoRR abs/2102.01723 (2021)- [i12]Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon:
Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR abs/2102.08619 (2021) - [i11]Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel:
Do Transformer Modifications Transfer Across Implementations and Applications? CoRR abs/2102.11972 (2021) - 2020
- [j6]Jiayin Yu
, Yaqin Xie, Shiyu Guo, Yanqi Zhou, Erfu Wang:
Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix. Complex. 2020: 1987670:1-1987670:18 (2020) - [j5]Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan:
Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. 7(7): 6325-6337 (2020) - [j4]Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu:
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. J. Mach. Learn. Res. 21: 140:1-140:67 (2020) - [j3]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon:
A Single-Shot Generalized Device Placement for Large Dataflow Graphs. IEEE Micro 40(5): 26-36 (2020) - [c14]Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang:
Omnidirectional Depth Extension Networks. ICRA 2020: 589-595 - [c13]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon:
Transferable Graph Optimizers for ML Compilers. NeurIPS 2020 - [i10]Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang:
ODE-CNN: Omnidirectional Depth Extension Networks. CoRR abs/2007.01475 (2020) - [i9]Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows:
A Learned Performance Model for the Tensor Processing Unit. CoRR abs/2008.01040 (2020) - [i8]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon:
Transferable Graph Optimizers for ML Compilers. CoRR abs/2010.12438 (2020)
2010 – 2019
- 2019
- [j2]Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff:
OpenPiton: an open source hardware platform for your research. Commun. ACM 62(12): 79-87 (2019) - [c12]Yanqi Zhou, Peng Wang:
EPNAS: Efficient Progressive Neural Architecture Search. BMVC 2019: 71 - [c11]Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan:
Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC 2019: 13:1-13:23 - [i7]Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos:
EPNAS: Efficient Progressive Neural Architecture Search. CoRR abs/1907.04648 (2019) - [i6]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon:
GDP: Generalized Device Placement for Dataflow Graphs. CoRR abs/1910.01578 (2019) - [i5]Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu:
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. CoRR abs/1910.10683 (2019) - 2018
- [c10]Michael McKeown, Alexey Lavrov, Mohammad Shahrad, Paul J. Jackson, Yaosheng Fu, Jonathan Balkind, Tri Minh Nguyen, Katie Lim, Yanqi Zhou, David Wentzlaff:
Power and Energy Characterization of an Open Source 25-Core Manycore Processor. HPCA 2018: 762-775 - [c9]Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. NeurIPS 2018: 10040-10050 - [i4]Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou:
Neural Voice Cloning with a Few Samples. CoRR abs/1802.06006 (2018) - [i3]Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos:
Resource-Efficient Neural Architect. CoRR abs/1806.07912 (2018) - 2017
- [j1]Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff:
Piton: A Manycore Processor for Multitenant Clouds. IEEE Micro 37(2): 70-80 (2017) - [c8]Amirsaman Memaripour, Anirudh Badam, Amar Phanishayee, Yanqi Zhou, Ramnatthan Alagappan, Karin Strauss, Steven Swanson:
Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx. EuroSys 2017: 499-512 - [c7]Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff:
Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. HPCA 2017: 337-348 - [c6]Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS 2017: 2962-2970 - [i2]Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR abs/1705.08947 (2017) - [i1]Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou:
Deep Learning Scaling is Predictable, Empirically. CoRR abs/1712.00409 (2017) - 2016
- [c5]Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff:
OpenPiton: An Open Source Manycore Research Framework. ASPLOS 2016: 217-232 - [c4]Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff:
Piton: A 25-core academic manycore research processor. Hot Chips Symposium 2016: 1-38 - [c3]Yanqi Zhou, David Wentzlaff:
MITTS: Memory Inter-arrival Time Traffic Shaping. ISCA 2016: 532-544 - [c2]Yanqi Zhou, Henry Hoffmann, David Wentzlaff:
CASH: Supporting IaaS Customers with a Sub-core Configurable Architecture. ISCA 2016: 682-694 - 2014
- [c1]Yanqi Zhou, David Wentzlaff:
The sharing architecture: sub-core configurability for IaaS clouds. ASPLOS 2014: 559-574
Coauthor Index
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