Ping-En Lu

Orcid: 0000-0002-1352-0983

According to our database1, Ping-En Lu authored at least 12 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Explainable, Stable, and Scalable Network Embedding Algorithms for Unsupervised Learning of Graph Representations.
IEEE Trans. Comput. Soc. Syst., October, 2023

2020
A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons.
IEEE Trans. Netw. Sci. Eng., 2020

Percolation Threshold for Competitive Influence in Random Networks.
IEEE Trans. Comput. Soc. Syst., 2020

Using Graph Convolutional Networks to Compute Approximations of Dominant Eigenvectors.
SIGMETRICS Perform. Evaluation Rev., 2020

Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation.
CoRR, 2020

A Time-dependent SIR model for COVID-19.
CoRR, 2020

2019
Exponentially Twisted Sampling for Centrality Analysis and Community Detection in Attributed Networks.
IEEE Trans. Netw. Sci. Eng., 2019

Centrality Analysis in $d$ -Regular Directed Acyclic Random Networks and Its Applications in Top- $k$ Recommendations.
IEEE Trans. Comput. Soc. Syst., 2019

Generalized Modularity Embedding: a General Framework for Network Embedding.
CoRR, 2019

A Reinforcement Learning Approach for the Multichannel Rendezvous Problem.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
Exponentially Twisted Sampling for Centrality Analysis in Attributed Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Social Media Prediction Based on Residual Learning and Random Forest.
Proceedings of the 2017 ACM on Multimedia Conference, 2017


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