With the rapid increase in the data volume of modern communications, optical fiber infrastructures are required to have a larger capacity and higher transmission rate.

The phase retrieval problem is to recover a signal x

We study the problem of community detection in multi-layer networks, where pairs of nodes can be related in multiple modalities.

With the two-stage fourth-order temporal evolution of the gas distribution function and Weighted Essentially Non-Oscillatory (WENO) reconstruction, a high-order finite difference gas-kinetic scheme is proposed.

Recurrent neural networks like long short-term memory (LSTM) have been utilized  as a tool for mo

Time series forecasting is widely used in many fields including stock price forecasting, weather prediction, signal data distribution, lossless compression etc.

Deep learning is widely used in different areas such as computer vision, natural language processing, and medical data analysis.  The success of deep learning relies on large scale dataset which contains data from different sources.  However, the massive data collection