Chuteng Zhou
Title
Cited by
Cited by
Year
Fixynn: Efficient hardware for mobile computer vision via transfer learning
PN Whatmough, C Zhou, P Hansen, SK Venkataramanaiah, J Seo, ...
The 2nd Conference on Machine Learning and Systems (MLSys) 2019, Palo Alto …, 2019
372019
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers
C Banbury, C Zhou, I Fedorov, R Matas, U Thakker, D Gope, ...
Proceedings of Machine Learning and Systems 3, 2021
312021
Compressing rnns for iot devices by 15-38x using kronecker products
U Thakker, J Beu, D Gope, C Zhou, I Fedorov, G Dasika, M Mattina
arXiv preprint arXiv:1906.02876, 2019
292019
Plasma electron hole kinematics. II. Hole tracking Particle-In-Cell simulation
C Zhou, IH Hutchinson
Physics of Plasmas 23 (8), 082102, 2016
192016
Plasma electron hole kinematics. I. Momentum conservation
IH Hutchinson, C Zhou
Physics of Plasmas 23 (8), 082101, 2016
152016
Kinetic electron and ion instability of the lunar wake simulated at physical mass ratio
CB Haakonsen, IH Hutchinson, C Zhou
Physics of Plasmas 22 (3), 032311, 2015
122015
Non-linear plasma wake growth of electron holes
IH Hutchinson, CB Haakonsen, C Zhou
Physics of Plasmas 22 (3), 032312, 2015
122015
Pushing the limits of rnn compression
U Thakker, I Fedorov, J Beu, D Gope, C Zhou, G Dasika, M Mattina
arXiv preprint arXiv:1910.02558, 2019
112019
Plasma electron hole oscillatory velocity instability
C Zhou, IH Hutchinson
Journal of Plasma Physics 83 (5), 2017
102017
Dynamics of a slow electron hole coupled to an ion-acoustic soliton
C Zhou, IH Hutchinson
Physics of Plasmas 25 (8), 082303, 2018
92018
Noisy machines: Understanding noisy neural networks and enhancing robustness to analog hardware errors using distillation
C Zhou, P Kadambi, M Mattina, PN Whatmough
arXiv preprint arXiv:2001.04974, 2020
82020
Plasma electron hole ion-acoustic instability
C Zhou, IH Hutchinson
J. Plasma Phys 83, 90580501, 2017
52017
Active multi-fidelity Bayesian online changepoint detection
GW Gundersen, D Cai, C Zhou, BE Engelhardt, RP Adams
37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021
12021
Information contraction in noisy binary neural networks and its implications
C Zhou, Q Zhuang, M Mattina, PN Whatmough
arXiv preprint arXiv:2101.11750, 2021
12021
Fixynn: Energy-efficient real-time mobile computer vision hardware acceleration via transfer learning
P Whatmough, C Zhou, P Hansen, S Venkataramanaiah, J Seo, M Mattina
Proceedings of Machine Learning and Systems 1, 107-119, 2019
12019
FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access
J Meng, SK Venkataramanaiah, C Zhou, P Hansen, P Whatmough, J Seo
2021 31st International Conference on Field-Programmable Logic and …, 2021
2021
Strong data processing inequality in neural networks with noisy neurons and its implications
C Zhou, Q Zhuang, M Mattina, PN Whatmough
2021 IEEE International Symposium on Information Theory (ISIT), 1170-1175, 2021
2021
Sparse Finetuning for Artificial Neural Networks
PN Whatmough, C Zhou
US Patent App. 16/720,380, 2021
2021
Shadowed grid structures for electrodes in vacuum electronics
SE Clark, CAM Fabien, GD Foley, A Kannan, AT Koch, AR Lingley, HI Lu, ...
US Patent 10,658,144, 2020
2020
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning
P Whatmough, C Zhou, P Hansen, M Mattina
arXiv preprint arXiv:1812.01672, 2018
2018
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