Dr. Wang Yue received his Ph.D. degree from the Complex Systems Laboratory of the Institute of Automation, Chinese Academy of Sciences in 2003. His major is control technology and control engineering, mainly focused in robot dynamics, multi-robot coordinated control and other fields. Since 2003, he has been mainly engaged in the research and development of the general agile platform for spacecraft, as well as the design, development and test of the overall and control system of new optical remote sensing satellites in China Academy of Space Technology. Over the years, he has devoted himself to the design of spacecraft systems, design of space-ground integration, autonomous mission management, autonomous health management, reliability design, real-time processing applications in space and other research directions. In addition, he has presided over or participated in the design and development of overall or control systems for more than 10 spacecrafts. He has won many national science and technology progress awards, and more than 10 patents.

• A New Multi-Instance Learning Algorithm Integrated with TF-IDF for Entity Relation Extraction in Electronic Medical Records.- A Deep Learning Algorithm Using Feature Engineering to Adjust Attention Mechanisms and Neural Network for Cloud Security Detection.- The design and implementation of a ranging system based on the DSSS.- Application of Grey Approximation Ideal Solution Ranking Methods in optimal selection of satellite initial orbits.