35 citations · 53 across the 6 of their papers we have counts for
6 papers
Predicting extreme events from data using deep machine learning: when and where
Junjie Jiang, Zi-Gang Huang, Celso Grebogi +1
We develop a deep convolutional neural network (DCNN) based framework for model-free prediction of the occurrence of extreme events both in time ("when") and in space ("where") in…
Long-term prediction of chaotic systems with recurrent neural networks
Huawei Fan, Junjie Jiang, Chun Zhang +2
Reservoir computing systems, a class of recurrent neural networks, have recently been exploited for model-free, data-based prediction of the state evolution of a variety of chaotic…
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
Junjie Jiang, Ying-Cheng Lai
A common difficulty in applications of machine learning is the lack of any general principle for guiding the choices of key parameters of the underlying neural network. Focusing on…
Irrelevance of linear controllability to nonlinear dynamical networks
Junjie Jiang, Ying-Cheng Lai
There has been tremendous development of linear controllability of complex networks. Real-world systems are fundamentally nonlinear. Is linear controllability relevant to nonlinear…
A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics
Le-Zhi Wang, Zhi-Dan Zhao, Jun-Jie Jiang +4
We analyze five big data sets from a variety of online social networking (OSN) systems and find that the growth dynamics of meme popularity exhibit characteristically different beh…
Evolutionary hypergame dynamics
Jun-Jie Jiang, Yu-Zhong Chen, Zi-Gang Huang +1
A common assumption employed in most previous works on evolutionary game dynamics is that every individual player has full knowledge about and full access to the complete set of av…