Jiayi Liu

Orcid: 0000-0001-6007-5256

Affiliations:
  • Kwai Inc, Palo Alto, CA, USA
  • LG Electronics, Santa Clara, CA, USA (former)
  • Robert Bosch LLC, Research and Technology Center, Palo Alto, CA, USA (former)
  • LMU Munich, Department of Physics, Germany (PhD 2014)


According to our database1, Jiayi Liu authored at least 12 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
ACM Trans. Internet Things, 2021

Stochastic Whitening Batch Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey.
CoRR, 2020

Improving Model Training by Periodic Sampling over Weight Distributions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Benchmarking large-scale data management for Internet of Things.
J. Supercomput., 2019

On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
CoRR, 2019

Robust Neural Network Training using Periodic Sampling over Model Weights.
CoRR, 2019

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling.
CoRR, 2018

Effective Building Block Design for Deep Convolutional Neural Networks using Search.
CoRR, 2018

Distributed NoSQL Data Stores: Performance Analysis and a Case Study.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016
An architecture for the deployment of statistical models for the big data era.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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