Chuteng Zhou

Orcid: 0000-0003-0093-6469

According to our database1, Chuteng Zhou authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.
CoRR, 2023

2022
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator.
IEEE Micro, 2022

UDC: Unified DNAS for Compressible TinyML Models.
CoRR, 2022

UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator.
CoRR, 2021

Information contraction in noisy binary neural networks and its implications.
CoRR, 2021

Active multi-fidelity Bayesian online changepoint detection.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
Proceedings of Machine Learning and Systems 2021, 2021

Strong data processing inequality in neural networks with noisy neurons and its implications.
Proceedings of the IEEE International Symposium on Information Theory, 2021

FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

2020
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation.
CoRR, 2020

2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning.
CoRR, 2019

FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning.
Proceedings of Machine Learning and Systems 2019, 2019

2018
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning.
CoRR, 2018


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