Social Media Prediction Based on Residual Learning and Random Forest. - 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 (ACM Multimedia, 2017)

Exponentially Twisted Sampling for Centrality Analysis in Attributed Networks. - Cheng-Hsun Chang; Cheng-Shang Chang; Duan-Shin Lee; Ping-En Lu (ICC, 2018)

A Reinforcement Learning Approach for the Multichannel Rendezvous Problem. - Jen-Hung Wang; Ping-En Lu; Cheng-Shang Chang; Duan-Shin Lee (GLOBECOM Workshops, 2019)

Generalized Modularity Embedding: a General Framework for Network Embedding. - Cheng-Shang Chang; Ching-Chu Huang; Chia-Tai Chang; Duan-Shin Lee; Ping-En Lu (CoRR, 2019)

Centrality Analysis in $d$ -Regular Directed Acyclic Random Networks and Its Applications in Top- $k$ Recommendations. - Ping-En Lu; Cheng-Shang Chang; Duan-Shin Lee; Ching-Chu Huang (IEEE Trans. Comput. Soc. Syst., 2019)

Exponentially Twisted Sampling for Centrality Analysis and Community Detection in Attributed Networks. - Cheng-Hsun Chang; Cheng-Shang Chang; Chia-Tai Chang; Duan-Shin Lee; Ping-En Lu (IEEE Trans. Netw. Sci. Eng., 2019)

A Time-dependent SIR model for COVID-19. - Yi-Cheng Chen; Ping-En Lu; Cheng-Shang Chang (CoRR, 2020)

Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation. - Ping-En Lu; Cheng-Shang Chang (CoRR, 2020)

Using Graph Convolutional Networks to Compute Approximations of Dominant Eigenvectors. - Ping-En Lu; Cheng-Shang Chang (SIGMETRICS Perform. Evaluation Rev., 2020)

Percolation Threshold for Competitive Influence in Random Networks. - Ping-En Lu; Yu-Hsien Peng; Cheng-Shang Chang; Duan-Shin Lee (IEEE Trans. Comput. Soc. Syst., 2020)

A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons. - Yi-Cheng Chen; Ping-En Lu; Cheng-Shang Chang; Tzu-Hsuan Liu (IEEE Trans. Netw. Sci. Eng., 2020)

Explainable, Stable, and Scalable Network Embedding Algorithms for Unsupervised Learning of Graph Representations. - Ping-En Lu; Chia-Han Yeh; Cheng-Shang Chang (IEEE Trans. Comput. Soc. Syst., 2023)