C. L. P. Chen

Dynamic Representation Learning via Recurrent Graph Neural Networks

Chun-Yang Zhang, Zhiliang Yao, Hong-Yu Yao, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

C. L. Philip Chen, Philip C. Chen, Chun-Yang Zhang, 2014, Inf. Sci..

Deep compression of probabilistic graphical networks

C. L. Philip Chen, Wenxi Liu, Qi Zhao, 2019, Pattern Recognit..

Graph Representation Learning via Contrasting Cluster Assignments pdf

C. L. Philip Chen, Chunyang Zhang, Hongyu Yao, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Graph Representation Learning With Adaptive Metric

Chun-Yang Zhang, C. L. P. Chen, Yue-Na Lin, 2023, IEEE Transactions on Network Science and Engineering.

Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting

C. L. Philip Chen, Long Chen, Min Gan, 2015, IEEE Transactions on Sustainable Energy.

Graph deconvolutional networks

C. L. Philip Chen, Zhiliang Yao, Lin Yang, 2020, Inf. Sci..

Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning

C. L. Philip Chen, Min Gan, Long Chen, 2015, IEEE Transactions on Fuzzy Systems.

Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series

C. L. Philip Chen, Min Gan, Long Chen, 2016, Int. J. Syst. Sci..