Ye Yuan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Factor Analysis

Stochastic Gradient Descent

Sparse Matrices

Top Venues

IEEE Trans. Syst. Man Cybern. Syst.

IEEE Trans. Cybern.

IEEE CAA J. Autom. Sinica

Publications

Jiufang Chen, Ye Yuan, Xin Luo
SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks. IEEE CAA J. Autom. Sinica 11 (7) (2024)
Jinli Li, Xin Luo, Ye Yuan, Shangce Gao
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Ye Yuan, Jinli Li, Xin Luo
A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Ye Yuan, Xin Luo, MengChu Zhou
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Xin Luo, Jiufang Chen, Ye Yuan, Zidong Wang
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Jinli Li, ChengXuan Zhou, Ye Yuan
An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis Model. ICDM (Workshops) (2023)
Ye Yuan, Xin Luo, Mingsheng Shang, Zidong Wang
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data. IEEE Trans. Cybern. 53 (9) (2023)
Ye Yuan, Renfang Wang, Guangxiao Yuan, Xin Luo
An Adaptive Divergence-Based Non-Negative Latent Factor Model. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices. IEEE Trans. Big Data 8 (3) (2022)
Jinli Li, Ye Yuan
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model. CoRR (2022)
Mingsheng Shang, Ye Yuan, Xin Luo, MengChu Zhou
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences. IEEE Trans. Cybern. 52 (8) (2022)
Jinli Li, Ye Yuan
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model. ICNSC (2022)
Yue Zhou, Zhigang Liu, Ye Yuan
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks. ICNSC (2022)
Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang
Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (8) (2021)
Ye Yuan, Mingsheng Shang, Xin Luo
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. ECAI (2020)
Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. WWW (2020)
Xin Luo, Ye Yuan, Di Wu
Adaptive Regularization-Incorporated Latent Factor Analysis. ICKG (2020)
Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. IEEE CAA J. Autom. Sinica 6 (1) (2019)
Ye Yuan, Xin Luo
Performance of nonnegative latent factor models with β-distance functions in recommender systems. ICNSC (2018)
Ye Yuan, Xin Luo, Mingsheng Shang
Effects of preprocessing and training biases in latent factor models for recommender systems. Neurocomputing 275 (2018)
Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. IEEE Trans. Ind. Informatics 14 (3) (2018)
Ye Yuan, Xin Luo, Mingsheng Shang, Xin-Yi Cai
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems. ICNSC (2017)
Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong
Performance of latent factor models with extended linear biases. Knowl. Based Syst. 123 (2017)