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Chuteng Zhou
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 18
Top Topics
Transfer Learning
Image Edges
Neural Network
Processing Units
Top Venues
CoRR
MLSys
ISIT
IEEE Micro
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Publications
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Bokun Wang
,
Axel Berg
,
Durmus Alp Emre Acar
,
Chuteng Zhou
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point.
CoRR
(2024)
Abhishek Tyagi
,
Reiley Jeyapaul
,
Chuteng Zhou
,
Paul N. Whatmough
,
Yuhao Zhu
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator.
ISPASS
(2024)
Yuji Chai
,
Devashree Tripathy
,
Chuteng Zhou
,
Dibakar Gope
,
Igor Fedorov
,
Ramon Matas Navarro
,
David Brooks
,
Gu-Yeon Wei
,
Paul N. Whatmough
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.
CoRR
(2023)
Igor Fedorov
,
Ramon Matas Navarro
,
Hokchhay Tann
,
Chuteng Zhou
,
Matthew Mattina
,
Paul N. Whatmough
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units.
NeurIPS
(2022)
Igor Fedorov
,
Ramon Matas Navarro
,
Hokchhay Tann
,
Chuteng Zhou
,
Matthew Mattina
,
Paul N. Whatmough
UDC: Unified DNAS for Compressible TinyML Models.
CoRR
(2022)
Chuteng Zhou
,
Fernando García-Redondo
,
Julian Büchel
,
Irem Boybat
,
Xavier Timoneda Comas
,
S. R. Nandakumar
,
Shidhartha Das
,
Abu Sebastian
,
Manuel Le Gallo
,
Paul N. Whatmough
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator.
IEEE Micro
42 (6) (2022)
Chuteng Zhou
,
Quntao Zhuang
,
Matthew Mattina
,
Paul N. Whatmough
Strong data processing inequality in neural networks with noisy neurons and its implications.
ISIT
(2021)
Chuteng Zhou
,
Fernando García-Redondo
,
Julian Büchel
,
Irem Boybat
,
Xavier Timoneda Comas
,
S. R. Nandakumar
,
Shidhartha Das
,
Abu Sebastian
,
Manuel Le Gallo
,
Paul N. Whatmough
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator.
CoRR
(2021)
Gregory W. Gundersen
,
Diana Cai
,
Chuteng Zhou
,
Barbara E. Engelhardt
,
Ryan P. Adams
Active multi-fidelity Bayesian online changepoint detection.
UAI
(2021)
Gregory W. Gundersen
,
Diana Cai
,
Chuteng Zhou
,
Barbara E. Engelhardt
,
Ryan P. Adams
Active multi-fidelity Bayesian online changepoint detection.
CoRR
(2021)
Colby R. Banbury
,
Chuteng Zhou
,
Igor Fedorov
,
Ramon Matas Navarro
,
Urmish Thakker
,
Dibakar Gope
,
Vijay Janapa Reddi
,
Matthew Mattina
,
Paul N. Whatmough
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
MLSys
(2021)
Chuteng Zhou
,
Quntao Zhuang
,
Matthew Mattina
,
Paul N. Whatmough
Information contraction in noisy binary neural networks and its implications.
CoRR
(2021)
Jian Meng
,
Shreyas Kolala Venkataramanaiah
,
Chuteng Zhou
,
Patrick Hansen
,
Paul N. Whatmough
,
Jae-sun Seo
FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access.
FPL
(2021)
Colby R. Banbury
,
Chuteng Zhou
,
Igor Fedorov
,
Ramon Matas Navarro
,
Urmish Thakker
,
Dibakar Gope
,
Vijay Janapa Reddi
,
Matthew Mattina
,
Paul N. Whatmough
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
CoRR
(2020)
Chuteng Zhou
,
Prad Kadambi
,
Matthew Mattina
,
Paul N. Whatmough
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation.
CoRR
(2020)
Paul N. Whatmough
,
Chuteng Zhou
,
Patrick Hansen
,
Shreyas K. Venkataramanaiah
,
Jae-sun Seo
,
Matthew Mattina
FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning.
MLSys
(2019)
Paul N. Whatmough
,
Chuteng Zhou
,
Patrick Hansen
,
Shreyas K. Venkataramanaiah
,
Jae-sun Seo
,
Matthew Mattina
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning.
CoRR
(2019)
Paul N. Whatmough
,
Chuteng Zhou
,
Patrick Hansen
,
Matthew Mattina
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning.
CoRR
(2018)