Xin Luo
Orcid: 0000-0002-1348-5305Affiliations:
- Dongguan University of Technology, China
- Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, China
- Chongqing University, College of Computer Science, China (former)
- Beihang University, Beijing, China (PhD 2011)
According to our database1,
Xin Luo
authored at least 241 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
Symmetry and Graph Bi-Regularized Non-Negative Matrix Factorization for Precise Community Detection.
IEEE Trans Autom. Sci. Eng., April, 2024
InPlaceKV: in-place update scheme for SSD-based KV storage systems under update-intensive Worklaods.
Clust. Comput., April, 2024
A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations.
IEEE Trans. Ind. Informatics, March, 2024
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation.
IEEE Trans. Fuzzy Syst., February, 2024
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning.
IEEE Trans. Big Data, February, 2024
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme.
IEEE CAA J. Autom. Sinica, February, 2024
IEEE Trans. Serv. Comput., 2024
A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration.
IEEE Trans. Instrum. Meas., 2024
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Highly Accurate Manipulator Calibration via Extended Kalman Filter-Incorporated Residual Neural Network.
IEEE Trans. Ind. Informatics, November, 2023
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst., October, 2023
FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization.
IEEE Trans. Fuzzy Syst., October, 2023
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.
IEEE Trans. Cybern., September, 2023
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Kinematics-Based Motion-Force Control for Redundant Manipulators With Quaternion Control.
IEEE Trans Autom. Sci. Eng., July, 2023
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors.
IEEE Trans. Knowl. Data Eng., June, 2023
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation.
IEEE Trans. Big Data, June, 2023
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis.
IEEE CAA J. Autom. Sinica, June, 2023
An overview of data-driven battery health estimation technology for battery management system.
Neurocomputing, May, 2023
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview.
IEEE CAA J. Autom. Sinica, May, 2023
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems.
IEEE Trans. Knowl. Data Eng., April, 2023
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-8933-9, 2023
A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction.
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Serv. Comput., 2023
A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation.
IEEE Trans. Netw. Sci. Eng., 2023
Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg-Marquardt Algorithm.
IEEE Trans. Instrum. Meas., 2023
Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators.
IEEE Trans. Ind. Electron., 2023
A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data.
IEEE Trans. Emerg. Top. Comput., 2023
Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots.
IEEE Trans. Cybern., 2023
IEEE Trans. Cybern., 2023
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Knowl. Based Syst., 2023
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection.
Inf. Fusion, 2023
IEEE CAA J. Autom. Sinica, 2023
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks.
CoRR, 2023
A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection.
CoRR, 2023
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection.
CoRR, 2023
Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Spatio-Temporal Traffic Data Recovery Via Latent Factorization of Tensors Based on Tucker Decomposition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes.
IEEE Trans. Serv. Comput., 2022
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction.
IEEE Trans. Serv. Comput., 2022
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis.
IEEE Trans. Serv. Comput., 2022
IEEE Trans. Netw. Sci. Eng., 2022
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme.
IEEE Trans. Neural Networks Learn. Syst., 2022
An L<sub>1</sub>-and-L<sub>2</sub>-Norm-Oriented Latent Factor Model for Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2022
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Knowl. Data Eng., 2022
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis.
IEEE Trans. Knowl. Data Eng., 2022
Novel Workload-Aware Approach to Mobile User Reallocation in Crowded Mobile Edge Computing Environment.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Image Process., 2022
Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data.
IEEE Trans. Fuzzy Syst., 2022
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method.
IEEE Trans. Fuzzy Syst., 2022
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences.
IEEE Trans. Cybern., 2022
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination.
IEEE Trans. Cybern., 2022
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Trans. Big Data, 2022
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices.
IEEE Trans. Big Data, 2022
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems.
IEEE Trans. Big Data, 2022
IEEE Trans. Big Data, 2022
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices.
IEEE Trans. Big Data, 2022
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies.
IEEE Trans Autom. Sci. Eng., 2022
Using Quadratic Interpolated Beetle Antennae Search to Enhance Robot Arm Calibration Accuracy.
IEEE Robotics Autom. Lett., 2022
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis.
IEEE CAA J. Autom. Sinica, 2022
IEEE CAA J. Autom. Sinica, 2022
Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays.
IEEE CAA J. Autom. Sinica, 2022
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce.
IEEE CAA J. Autom. Sinica, 2022
CoRR, 2022
A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach.
CoRR, 2022
CoRR, 2022
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data.
CoRR, 2022
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection.
CoRR, 2022
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2022
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
2021
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., 2021
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization.
IEEE Trans. Netw. Sci. Eng., 2021
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks.
IEEE Trans. Netw. Sci. Eng., 2021
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Ind. Electron., 2021
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators.
IEEE Trans. Control. Syst. Technol., 2021
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.
IEEE Trans. Big Data, 2021
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks.
IEEE Trans Autom. Sci. Eng., 2021
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data.
IEEE Trans Autom. Sci. Eng., 2021
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model.
Neurocomputing, 2021
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems.
Neurocomputing, 2021
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data.
IEEE CAA J. Autom. Sinica, 2021
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning.
IEEE CAA J. Autom. Sinica, 2021
IEEE CAA J. Autom. Sinica, 2021
An Auxiliary Learning Task-Enhanced Graph Convolutional Network Model for Highly-accurate Node Classification on Weakly Supervised Graphs.
Proceedings of the IEEE International Conference on Smart Data Services, 2021
Relaxed Symmetric Non-negative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
A Truncated Newton Method-Based Symmetric Non-negative Latent Factor Model for Large-scale Undirected Networks Representation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Efficient Representation to Dynamic QoS Data via Generalized Nesterov's Accelerated Gradient-incorporated Biased Non-negative Latent Factorization of Tensors.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021
Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Discovering Hidden Pattern in Large-scale Dynamically Weighted Directed Network via Latent Factorization of Tensors.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis.
Proceedings of the IEEE International Conference on Services Computing, 2021
A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021
2020
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach.
IEEE Trans. Ind. Informatics, 2020
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach.
IEEE Trans. Ind. Informatics, 2020
New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective.
IEEE Trans. Ind. Informatics, 2020
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Cybern., 2020
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors.
IEEE Trans. Cybern., 2020
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems.
Neurocomputing, 2020
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression.
Neurocomputing, 2020
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020
A Decentralized Reactive Approach to Online Task Offloading in Mobile Edge Computing Environments.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020
A Regularization-adaptive Non-negative Latent Factor Analysis-based Model For Recommender Systems.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
A Predictive-Trend-Aware and Critical-Path-Estimation-Based Method for Workflow Scheduling Upon Cloud Services.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020
2019
An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization.
IEEE Trans. Serv. Comput., 2019
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables.
IEEE Trans. Ind. Informatics, 2019
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems.
IEEE Robotics Autom. Lett., 2019
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction.
Neurocomputing, 2019
Neurocomputing, 2019
Neurocomputing, 2019
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
IEEE CAA J. Autom. Sinica, 2019
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network.
IEEE Access, 2019
Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray.
IEEE Access, 2019
Convergence Analysis of an SLF-NMU Algorithm for Non-negative Latent Factor Analysis on a High-Dimensional and Sparse Matrix.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
A Novel Coalitional Game-Theoretic Approach for Energy-Aware Dynamic VM Consolidation in Heterogeneous Cloud Datacenters.
Proceedings of the Web Services - ICWS 2019, 2019
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019
Joint Operator Scaling and Placement for Distributed Stream Processing Applications in Edge Computing.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises.
IEEE Trans. Neural Networks Learn. Syst., 2018
Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution.
IEEE Trans. Ind. Informatics, 2018
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications.
IEEE Trans. Ind. Informatics, 2018
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data.
IEEE Trans. Cybern., 2018
Effects of preprocessing and training biases in latent factor models for recommender systems.
Neurocomputing, 2018
Neurocomputing, 2018
Frontiers Neurorobotics, 2018
Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds.
Proceedings of the Services Computing - SCC 2018, 2018
Performance of nonnegative latent factor models with β-distance functions in recommender systems.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
Performance of symmetric non-negative matrix factorization-based community detector with learning depth variations.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018
2017
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Cybern., 2017
Knowl. Based Syst., 2017
An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method.
Int. J. Web Serv. Res., 2017
Long-term performance of collaborative filtering based recommenders in temporally evolving systems.
Neurocomputing, 2017
Int. J. Distributed Sens. Networks, 2017
Percentile Performance Estimation of Unreliable IaaS Clouds and Their Cost-Optimal Capacity Decision.
IEEE Access, 2017
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
Non-negativity constrained missing data estimation for high-dimensional and sparse matrices.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst., 2016
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Cybern., 2016
An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.
IEEE Trans Autom. Sci. Eng., 2016
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing, 2016
Concurr. Comput. Pract. Exp., 2016
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
BMC Bioinform., 2016
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.
IEEE Access, 2016
Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016
2015
IEEE Trans. Syst. Man Cybern. Syst., 2015
Stochastic Modeling and Performance Analysis of Migration-Enabled and Error-Prone Clouds.
IEEE Trans. Ind. Informatics, 2015
An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems.
IEEE Trans. Ind. Informatics, 2015
IEEE Trans Autom. Sci. Eng., 2015
Improving network topology-based protein interactome mapping via collaborative filtering.
Knowl. Based Syst., 2015
A time series and reduction-based model for modeling and QoS prediction of service compositions.
Concurr. Comput. Pract. Exp., 2015
A Hessian-Free Optimization-Based Approach to Latent-Factor-Based QoS Predictors with High Accuracy.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
2014
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems.
IEEE Trans. Ind. Informatics, 2014
Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint.
Proceedings of the 23rd Wireless and Optical Communication Conference, 2014
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
2013
A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions.
IEEE Trans. Syst. Man Cybern. Syst., 2013
Knowl. Based Syst., 2013
Applying the learning rate adaptation to the matrix factorization based collaborative filtering.
Knowl. Based Syst., 2013
Dependability Prediction of WS-BPEL Service Compositions Using Petri Net and Time Series Models.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013
2012
Improving neighborhood based Collaborative Filtering via integrated folksonomy information.
Pattern Recognit. Lett., 2012
Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization.
Knowl. Based Syst., 2012
A parallel matrix factorization based recommender by alternating stochastic gradient decent.
Eng. Appl. Artif. Intell., 2012
A non-Markovian stochastic Petri net-based approach to performance evaluation of ontology-based service composition.
Concurr. Comput. Pract. Exp., 2012
Cloud Backup Scheduling Algorithm Based on Cloud State Table and Cloud Resources Table.
Proceedings of the Ninth Web Information Systems and Applications Conference, 2012
2011
Improving Latent Factor Model Based Collaborative Filtering via Integrated Folksonomy Factors.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011
Int. J. Inf. Technol. Decis. Mak., 2011