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ORCIDJiayi Liu 0002
Person information
- affiliation: Kwai Inc, Palo Alto, CA, USA
- affiliation (former): LG Electronics, Santa Clara, CA, USA
- affiliation (former): Robert Bosch LLC, Research and Technology Center, Palo Alto, CA, USA
- affiliation (PhD 2014): LMU Munich, Department of Physics, Germany
Other persons with the same name
- Jiayi Liu (aka: Jia-Yi Liu) — disambiguation page
- Jiayi Liu 0001
![[0000-0002-9188-9807]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9188-9807")
— Xidian University, State Key Laboratory on ISN, Xi'an, China (and 2 more) - Jiayi Liu 0003 — Wuhan University of Technology, School of Information Engineering, China
- Jiayi Liu 0004 — Alibaba Group, Hangzhou, China (and 1 more)
- Jiayi Liu 0005 — Purdue University, West Lafayette, IN, USA (and 1 more)
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2020 – today
- 2021
[j2]Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective. ACM Trans. Internet Things 2(3): 15:1-15:49 (2021)- [c5]Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah:
Stochastic Whitening Batch Normalization. CVPR 2021: 10978-10987 - [i7]Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah:
Stochastic Whitening Batch Normalization. CoRR abs/2106.04413 (2021) - 2020
- [c4]Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah:
Improving Model Training by Periodic Sampling over Weight Distributions. IEEE BigData 2020: 112-122 - [i6]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey. CoRR abs/2005.04275 (2020)
2010 – 2019
- 2019
- [j1]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali:
Benchmarking large-scale data management for Internet of Things. J. Supercomput. 75(12): 8207-8230 (2019) - [c3]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. IEEE BigData 2019: 339-348 - [i5]Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah:
Robust Neural Network Training using Periodic Sampling over Model Weights. CoRR abs/1905.05774 (2019) - [i4]Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
On-Device Machine Learning: An Algorithms and Learning Theory Perspective. CoRR abs/1911.00623 (2019) - [i3]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. CoRR abs/1911.02522 (2019) - 2018
- [c2]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali:
Distributed NoSQL Data Stores: Performance Analysis and a Case Study. IEEE BigData 2018: 1937-1944 - [i2]Jayanta K. Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah:
Effective Building Block Design for Deep Convolutional Neural Networks using Search. CoRR abs/1801.08577 (2018) - [i1]Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. CoRR abs/1807.00847 (2018) - 2016
- [c1]Juergen Heit, Jiayi Liu, Mohak Shah:
An architecture for the deployment of statistical models for the big data era. IEEE BigData 2016: 1377-1384
Coauthor Index
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