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Journal Articles
- 2023
[j6]Ping-En Lu
, Chia-Han Yeh, Cheng-Shang Chang:
Explainable, Stable, and Scalable Network Embedding Algorithms for Unsupervised Learning of Graph Representations. IEEE Trans. Comput. Soc. Syst. 10(5): 2421-2438 (2023)- 2020
- [j5]Ping-En Lu, Cheng-Shang Chang:
Using Graph Convolutional Networks to Compute Approximations of Dominant Eigenvectors. SIGMETRICS Perform. Evaluation Rev. 48(2): 3-5 (2020) - [j4]Ping-En Lu, Yu-Hsien Peng, Cheng-Shang Chang, Duan-Shin Lee:
Percolation Threshold for Competitive Influence in Random Networks. IEEE Trans. Comput. Soc. Syst. 7(4): 991-1003 (2020) - [j3]Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang, Tzu-Hsuan Liu:
A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons. IEEE Trans. Netw. Sci. Eng. 7(4): 3279-3294 (2020) - 2019
- [j2]Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee, Ching-Chu Huang:
Centrality Analysis in $d$ -Regular Directed Acyclic Random Networks and Its Applications in Top- $k$ Recommendations. IEEE Trans. Comput. Soc. Syst. 6(5): 968-980 (2019) - [j1]Cheng-Hsun Chang, Cheng-Shang Chang, Chia-Tai Chang, Duan-Shin Lee, Ping-En Lu:
Exponentially Twisted Sampling for Centrality Analysis and Community Detection in Attributed Networks. IEEE Trans. Netw. Sci. Eng. 6(4): 684-697 (2019)
Conference and Workshop Papers
- 2019
- [c3]Jen-Hung Wang, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem. GLOBECOM Workshops 2019: 1-5 - 2018
- [c2]Cheng-Hsun Chang, Cheng-Shang Chang, Duan-Shin Lee, Ping-En Lu:
Exponentially Twisted Sampling for Centrality Analysis in Attributed Networks. ICC 2018: 1-7 - 2017
- [c1]Chih-Chung Hsu, Ying-Chin Lee, Ping-En Lu, Shian-Shin Lu, Hsiao-Ting Lai, Ching-Chu Huang, Chun Wang, Yang-Jiun Lin, Weng-Tai Su:
Social Media Prediction Based on Residual Learning and Random Forest. ACM Multimedia 2017: 1865-1870
Informal and Other Publications
- 2020
- [i5]Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang:
A Time-dependent SIR model for COVID-19. CoRR abs/2003.00122 (2020) - [i4]Ping-En Lu, Cheng-Shang Chang:
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation. CoRR abs/2009.10367 (2020) - 2019
- [i3]Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
Percolation Threshold for Competitive Influence in Random Networks. CoRR abs/1904.05754 (2019) - [i2]Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang, Duan-Shin Lee, Ping-En Lu:
Generalized Modularity Embedding: a General Framework for Network Embedding. CoRR abs/1904.11027 (2019) - [i1]Jen-Hung Wang, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem. CoRR abs/1907.01919 (2019)
Coauthor Index
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