Search Results for author: Shi-Yu Li

Found 5 papers, 2 papers with code

NASGEM: Neural Architecture Search via Graph Embedding Method

no code implementations8 Jul 2020 Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shi-Yu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

To preserve graph correlation information in encoding, we propose NASGEM which stands for Neural Architecture Search via Graph Embedding Method.

Graph Embedding Graph Similarity +3

PENNI: Pruned Kernel Sharing for Efficient CNN Inference

1 code implementation ICML 2020 Shi-Yu Li, Edward Hanson, Hai Li, Yiran Chen

Although state-of-the-art (SOTA) CNNs achieve outstanding performance on various tasks, their high computation demand and massive number of parameters make it difficult to deploy these SOTA CNNs onto resource-constrained devices.

Model Compression

Model Comparison of Dark Energy models Using Deep Network

no code implementations1 Jul 2019 Shi-Yu Li, Yun-Long Li, Tong-Jie Zhang

This work uses a combination of a variational auto-encoder and generative adversarial network to compare different dark energy models in light of observations, e. g., the distance modulus from type Ia supernovae.

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures

1 code implementation19 Jun 2019 Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shi-Yu Li, Harris Teague, Hai Li, Yiran Chen

Designing neural architectures for edge devices is subject to constraints of accuracy, inference latency, and computational cost.

Neural Architecture Search

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning

no code implementations27 Nov 2018 Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shi-Yu Li, Hai Li, Yiran Chen

Distributed learning systems have enabled training large-scale models over large amount of data in significantly shorter time.

Privacy Preserving

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