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Chuteng Zhou

2 accepted papers

2022

UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units

NeurIPS 2022accept

Deploying TinyML models on low-cost IoT hardware is very challenging, due to limited device memory capacity. Neural processing unit (NPU) hardware address the memory challenge by using model compression to exploit weight quantization and sparsity to fit more parameters in the same footprint. However…

Cited by 17SourcePDFScholar
2021

Active multi-fidelity Bayesian online changepoint detection

UAI 2021poster

Online algorithms for detecting changepoints, or abrupt shifts in the behavior of a time series, are often deployed with limited resources, e.g., to edge computing settings such as mobile phones or industrial sensors. In these scenarios it may be beneficial to trade the cost of collecting an environ…