Dynamic Network Representation Based on Latent Factorization of Tensors

Hao Wu received a Ph.D. degree in Computer Science from the University of Chinese Academy of Sciences, Beijing, China, in 2022. He is currently an Associate Professor of Data Science with the College of Computer and Information Science, Southwest University, Chongqing, China. His research interests include big data analytics and tensor methods.Xuke Wu is currently pursuing a Ph.D. degree from the College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China. His current research interests include data mining and intelligent transportation systems.Xin Luo received a Ph.D. degree in computer science from Beihang University, Beijing, China, in 2011. He is currently a Professor of Data Science and Computational Intelligence with the College of Computer and Information Science, Southwest University, Chongqing, China. He has authored or coauthored over 200 papers (including over 90 IEEE Transactions papers) in the areas of his interests. His research interests include big data analysis and intelligent control.

• Chapter 1 IntroductionChapter.-  2 Multiple Biases-Incorporated Latent Factorization of tensors.- Chapter 3 PID-Incorporated Latent Factorization of Tensors.- Chapter 4 Diverse Biases Nonnegative Latent Factorization of Tensors.- Chapter 5 ADMM-Based Nonnegative Latent Factorization of Tensors.- Chapter 6 Perspectives and Conclusion.