Yonghua Mao

Orcid: 0000-0002-7450-408X

According to our database1, Yonghua Mao authored at least 7 papers between 2015 and 2021.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2021
Lyapunov-type conditions for non-strong ergodicity of Markov processes.
J. Appl. Probab., 2021

2020
Exploring Convolution Neural Network for Branch Prediction.
IEEE Access, 2020

2018
A Study on Deep Belief Net for Branch Prediction.
IEEE Access, 2018

2017
On some mixing times for nonreversible finite Markov chains.
J. Appl. Probab., 2017

2016
Separation cutoff for upward skip-free chains.
J. Appl. Probab., 2016

2015
Eigentime Identity for One-Dimensional Diffusion Processes.
J. Appl. Probab., 2015

A New Compound Kernel Function for SVM.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015


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