Mr. Lin received the B.S. degree in department of communications, from Fuzhou University, Fuzhou, China. he is currently pursuing the Master degree.

His research interest is Terahertz techniques&optimization design.

Mr. Liu received the B.S. degree in department of Electronic Science and Technology, from Soochow University, Suzhou, China. Now, he is working toward the Master degree in Fudan University, Shanghai, China.

His research interest is complex network and cluster intelligence.

Mr. Yin received his master degree from East China University of Science and Technology, Shanghai, China. His research interests include brain-computer interface and signal processing.
His publications:
殷飞宇，金晶，王行愚，基于多相关性的导联前向搜索算法用于运动想象分类，华东理工大学学报
Yangyang Miao, Feiyu Yin, Cili Zuo, Xingyu Wang and JingJin, Improved RCSP and AdaBoost-based classification for Motor-Imagery BCI, 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Application

Ms. Nie received the B.E. degree in Automation, from Donghua University in 2020, Shanghai, China. She is currently working toward the Ph.D. degree in department of electronic engineering, from Fudan University, Shanghai, China.

Her research interest is controllability of complex networks.

Dai received her M.S. degree from the School of Computer Science at Central South University in Changsha, Hunan Province, China, where he is currently working toward the Ph.D. degree.
Her research interest is the propagation dynamics of complex networks.
Her publications:
Jinying Dai, B. Wang, J.F. Sheng , et al. Identifying Influential Nodes in Complex Networks based on Local Neighbor Contribution[J]. IEEE Access, 2019, PP(99):1-1.
J.F. Sheng, Jinying Dai, B. Wang, et al. Identifying influential nodes in complex networks based on global and local structure[J]. Physica A: Statistical Mechanics and its Applications, 2020, PP(123262).