| 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, 517-532, 2021 | 258 | 2021 |
| 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 | 63 | 2019 |
| 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 | 47 | 2020 |
| 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 | 39 | 2019 |
| 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 | 29 | 2021 |
| Plasma electron hole kinematics. II. Hole tracking Particle-In-Cell simulation C Zhou, IH Hutchinson Physics of Plasmas 23 (8), 2016 | 27 | 2016 |
| Plasma electron hole kinematics. I. Momentum conservation IH Hutchinson, C Zhou Physics of Plasmas 23 (8), 2016 | 24 | 2016 |
| AnalogNets: ML-HW co-design of noise-robust TinyML models and always-on analog compute-in-memory accelerator C Zhou, FG Redondo, J Büchel, I Boybat, XT Comas, SR Nandakumar, ... arXiv preprint arXiv:2111.06503, 2021 | 18 | 2021 |
| Dynamics of a slow electron hole coupled to an ion-acoustic soliton C Zhou, IH Hutchinson Physics of Plasmas 25 (8), 2018 | 17 | 2018 |
| Pushing the limits of rnn compression U Thakker, I Fedorov, J Beu, D Gope, C Zhou, G Dasika, M Mattina 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 16 | 2019 |
| 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), 2015 | 15 | 2015 |
| Ml-hw co-design of noise-robust tinyml models and always-on analog compute-in-memory edge accelerator C Zhou, FG Redondo, J Büchel, I Boybat, XT Comas, SR Nandakumar, ... IEEE Micro 42 (6), 76-87, 2022 | 14 | 2022 |
| UDC: Unified DNAS for Compressible TinyML Models I Fedorov, R Matas, H Tann, C Zhou, M Mattina, P Whatmough 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 14 | 2022 |
| Non-linear plasma wake growth of electron holes IH Hutchinson, CB Haakonsen, C Zhou Physics of Plasmas 22 (3), 2015 | 13 | 2015 |
| Udc: Unified dnas for compressible tinyml models for neural processing units I Fedorov, R Matas, H Tann, C Zhou, M Mattina, P Whatmough Advances in Neural Information Processing Systems 35, 18456-18471, 2022 | 10 | 2022 |
| 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 | 10 | 2019 |
| Plasma electron hole oscillatory velocity instability C Zhou, IH Hutchinson Journal of Plasma Physics 83 (5), 905830501, 2017 | 10 | 2017 |
| Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers. arXiv 2021 C Banbury, C Zhou, I Fedorov, RM Navarro, U Thakkar, D Gope, VJ Reddi, ... arXiv preprint arXiv:2010.11267, 0 | 9 | |
| 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 | 8 | 2021 |
| Plasma electron hole ion-acoustic instability C Zhou, IH Hutchinson J. Plasma Phys 83, 90580501, 2017 | 8 | 2017 |
Paul N WhatmoughQualcomm AI Research, Harvard UniversityПотвърден имейл адрес: qti.qualcomm.com
