Ye Yuan

51 papers A* 1A 1B 4Journal 34Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advanced High-Order Graph Convolutional Networks with Assorted Time-Frequency Transforms.
IEEE CAA J. Autom. Sinica
Ling Wang, Ye Yuan, Xin Luo
2026 J jnl
Graph Tensor Convolutional Network.
IEEE Trans. Syst. Man Cybern. Syst.
Ling Wang, Ye Yuan, Xin Luo
2025 J jnl
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph.
IEEE Trans. Neural Networks Learn. Syst.
Ye Yuan, Ying Wang, Xin Luo
2025 B conf
A Particle swarm optimization based Residual Negative Magnitude Shaping Scheme for Vibration Control.
SMC
Weiyi Yang, Ye Yuan, Mingsheng Shang
2025 J jnl
A Proportional Integral Controller-Enhanced Non-Negative Latent Factor Analysis Model.
IEEE CAA J. Autom. Sinica
Ye Yuan, Siyang Lu, Xin Luo
2025 J jnl
An Adaptive Neighborhood-Resonated Graph Convolution Network for Undirected Weighted Graph Representation.
IEEE Trans. Neural Networks Learn. Syst.
Jiufang Chen, Ye Yuan, Xin Luo, Xinbo Gao
2025 B conf
Dynamic Graph Learning with Tensorized Lightweight Graph Convolutional Network.
IJCNN
Minglian Han, Yuxin Fan, Ling Wang, Ye Yuan
2025 J jnl
Enhancing graph convolutional networks with an efficient k-hop neighborhood approach.
Inf. Fusion
Jiufang Chen, Xin Luo, Ye Yuan, Zidong Wang
2025 J jnl
GT-A
IEEE CAA J. Autom. Sinica
Ling Wang, Kechen Liu, Ye Yuan
2025 J jnl
Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers.
IEEE Trans. Emerg. Top. Comput. Intell.
Jinli Li, Ye Yuan, Xin Luo
2025 — conf
SGD-DyG: Self-Reliant Global Dependency Apprehending on Dynamic Graphs.
KDD (2)
Minglian Han, Ling Wang, Ye Yuan, Xin Luo
2024 J jnl
A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis.
IEEE Trans. Fuzzy Syst.
Ye Yuan, Jinli Li, Xin Luo
2024 J jnl
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis.
IEEE Trans Autom. Sci. Eng.
Jinli Li, Xin Luo, Ye Yuan, Shangce Gao
2024 J jnl
A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data.
IEEE CAA J. Autom. Sinica
Jiufang Chen, Kechen Liu, Xin Luo, Ye Yuan, Khaled Sedraoui, Yusuf Al-Turki, MengChu Zhou
2024 J jnl
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications.
IEEE Trans. Emerg. Top. Comput. Intell.
Ye Yuan, Xin Luo, MengChu Zhou
2024 J jnl
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis.
CoRR
Jinli Li, Ye Yuan
2024 J jnl
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Jiufang Chen, Ye Yuan, Zidong Wang
2024 J jnl
SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks.
IEEE CAA J. Autom. Sinica
Jiufang Chen, Ye Yuan, Xin Luo
2024 J jnl
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning.
CoRR
Ling Wang, Ye Yuan
2023 J jnl
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.
IEEE Trans. Cybern.
Ye Yuan, Xin Luo, Mingsheng Shang, Zidong Wang
2023 B conf
A Neighbor-Induced Graph Convolution Network for Undirected Weighted Network Representation.
SMC
Jiufang Chen, Ye Yuan
2023 J jnl
An Adaptive Divergence-Based Non-Negative Latent Factor Model.
IEEE Trans. Syst. Man Cybern. Syst.
Ye Yuan, Renfang Wang, Guangxiao Yuan, Xin Luo
2023 — conf
An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis Model.
ICDM (Workshops)
Jinli Li, Chengxuan Zhou, Ye Yuan
2022 J jnl
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices.
IEEE Trans. Big Data
Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang
2022 J jnl
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs.
CoRR
Ying Wang, Ye Yuan, Xin Luo
2022 — conf
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model.
ICNSC
Jinli Li, Ye Yuan
2022 J jnl
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model.
CoRR
Jinli Li, Ye Yuan
2022 J jnl
Adaptive Divergence-based Non-negative Latent Factor Analysis.
CoRR
Ye Yuan, Guangxiao Yuan, Renfang Wang, Xin Luo
2022 — conf
Adaptive Latent Factor Analysis via Generalized Momentum-Incorporated Particle Swarm Optimization.
ICNSC
Jiufang Chen, Ye Yuan
2022 J jnl
Adaptive Latent Factor Analysis via Generalized Momentum-Incorporated Particle Swarm Optimization.
CoRR
Jiufang Chen, Ye Yuan
2022 J jnl
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences.
IEEE Trans. Cybern.
Mingsheng Shang, Ye Yuan, Xin Luo, MengChu Zhou
2022 — conf
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks.
ICNSC
Yue Zhou, Zhigang Liu, Ye Yuan
2022 J jnl
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks.
CoRR
Yue Zhou, Zhigang Liu, Ye Yuan
2022 — book
Latent Factor Analysis for High-dimensional and Sparse Matrices - A particle swarm optimization-based approach
Ye Yuan, Xin Luo
2022 J jnl
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis.
CoRR
Ye Yuan, Xin Luo
2022 J jnl
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis.
IEEE Trans. Knowl. Data Eng.
Xin Luo, Ye Yuan, Sili Chen, Nianyin Zeng, Zidong Wang
2021 J jnl
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model.
Neurocomputing
Jinli Li, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo
2021 — conf
Dynamic Community Detection via Kalman Filter-Incorporated Non-negative Matrix Factorization.
ICNSC
Xiao Ying Zhang, Ye Yuan
2021 J jnl
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems.
Neurocomputing
Jiufang Chen, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo
2021 J jnl
Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang
2020 A* conf
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems.
WWW
Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
2020 B conf
A Nonlinear Proportional Integral Derivative-Incorporated Stochastic Gradient Descent-based Latent Factor Model.
SMC
Jinli Li, Ye Yuan
2020 — conf
Accelerated Latent Factor Analysis for Recommender Systems via PID Controller.
ICNSC
Jinli Li, Xuke Wu, Ye Yuan, Yajuan Wu, Kangkang Ma, Yue Zhou
2020 — conf
Adaptive Regularization-Incorporated Latent Factor Analysis.
ICKG
Xin Luo, Ye Yuan, Di Wu
2020 A conf
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis.
ECAI
Ye Yuan, Mingsheng Shang, Xin Luo
2019 J jnl
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
IEEE CAA J. Autom. Sinica
Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou
2018 J jnl
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications.
IEEE Trans. Ind. Informatics
Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan
2018 J jnl
Effects of preprocessing and training biases in latent factor models for recommender systems.
Neurocomputing
Ye Yuan, Xin Luo, Mingsheng Shang
2018 — conf
Performance of nonnegative latent factor models with β-distance functions in recommender systems.
ICNSC
Ye Yuan, Xin Luo
2017 — conf
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems.
ICNSC
Ye Yuan, Xin Luo, Mingsheng Shang, Xin-Yi Cai
2017 J jnl
Performance of latent factor models with extended linear biases.
Knowl. Based Syst.
Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong