Latent Factor Analysis for High-dimensional and Sparse Matrices

Dr. Ye Yuan is an Associate Professor at the College of Computer and Information Science, Southwest University. His main research fields are data mining and machine learning. He has published over 24 SCI/EI papers, including for top journals and conferences like IEEE T. KDE, CYB, WWW and ECAI. He has applied for 11 and holds 5 national invention patents and won First Prize in the Wu Wenjun AI Science and Technology Progress Award and First Prize in the Chongqing Science and Technology Progress Award.Dr. Xin Luo is a Professor at the College of Computer and Information Science, Southwest University. His current research interests include machine intelligence, big data, and cloud computing. He has published over 200 papers (including over 87 IEEE TRANSACTIONS papers and 17 highly cited papers in ESI) in the above areas. He holds 35 national invention patents. He was part of the Pioneer Hundred Talents Program of the Chinese Academy of Sciences in 2016, the Advanced Support of the Pioneer Hundred Talents Program of Chinese Academy of Sciences in 2018, and the National High-Level Talents Special Support Program in 2020. He won First Prize in the Chongqing Natural Science Award (2019), First Prize in the Wu Wenjun AI Science and Technology Progress Award (2018) and First Prize in the Chongqing Science and Technology Progress Award (2018). He serves as an Associate Editor for the IEEE/CAA Journal of Automatica Sinica, and for IEEE Transactions on Neural Networks and Learning Systems. He received the Outstanding Associate Editor Award from the IEEE/CAA Journal of Automatica Sinica in 2020.

Chapter 1. Introduction.- Chapter 2. Learning rate-free Latent Factor Analysis via PSO.- Chapter 3. Learning Rate and Regularization Coefficient-free Latent Factor Analysis via PSO.- Chapter 4. Regularization and Momentum Coefficient-free Non-negative Latent Factor Analysis via PSO.- Chapter 5. Advanced Learning rate-free Latent Factor Analysis via P2SO.- Chapter 6. Conclusion and Discussion.