Pengyu Liu

Orcid: 0000-0003-2056-5757

Affiliations:
  • Kyoto University, Kyoto, Japan


According to our database1, Pengyu Liu authored at least 5 papers between 2018 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
On the Compressive Power of Boolean Threshold Autoencoders.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022
On the Distribution of Successor States in Boolean Threshold Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites.
BMC Bioinform., 2021

2020
Extracting boolean and probabilistic rules from trained neural networks.
Neural Networks, 2020

2018
Analysis of Critical and Redundant Vertices in Controlling Directed Complex Networks Using Feedback Vertex Sets.
J. Comput. Biol., 2018


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