Mingsheng Shang
Orcid: 0000-0002-7024-2270Affiliations:
- Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China
According to our database1,
Mingsheng Shang
authored at least 124 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Trans. Ind. Informatics, April, 2024
Data-Driven Remote Center of Cyclic Motion (RC$^{2}$M) Control for Redundant Robots With Rod-Shaped End-Effector.
IEEE Trans. Ind. Informatics, April, 2024
Orientation Tracking Incorporated Multicriteria Control for Redundant Manipulators With Dynamic Neural Network.
IEEE Trans. Ind. Electron., April, 2024
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
Inf. Sci., February, 2024
J. Intell. Fuzzy Syst., January, 2024
Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application.
Neurocomputing, January, 2024
2023
Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection.
J. Big Data, December, 2023
A Novel Competition-Based Coordination Model with Dynamic Feedback for Multi-Robot Systems.
IEEE CAA J. Autom. Sinica, October, 2023
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.
IEEE Trans. Cybern., September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Graph neural networks via contrast between separation and aggregation for self and neighborhood.
Expert Syst. Appl., August, 2023
IEEE Trans. Neural Networks Learn. Syst., April, 2023
IEEE Trans. Serv. Comput., 2023
A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation.
Neurocomputing, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Web Services, 2023
A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads.
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation.
Proceedings of the 2nd International Conference on Algorithms, 2023
2022
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction.
IEEE Trans. Serv. Comput., 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. Knowl. Data Eng., 2022
Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation.
IEEE Trans. Ind. Informatics, 2022
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences.
IEEE Trans. Cybern., 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
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies.
IEEE Trans Autom. Sci. Eng., 2022
MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition.
Neural Comput. Appl., 2022
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis.
J. Big Data, 2022
Inf. Sci., 2022
Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks.
Neurocomputing, 2022
Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots.
IEEE CAA J. Autom. Sinica, 2022
IEEE CAA J. Autom. Sinica, 2022
Expert Syst. Appl., 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2022
Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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
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
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.
IEEE Trans. Big Data, 2021
Inf. Sci., 2021
Multi-robot competitive tracking based on <i>k</i>-WTA neural network with one single neuron.
Neurocomputing, 2021
Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification.
Frontiers Comput. Neurosci., 2021
Entropy, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021
2020
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Cybern., 2020
CoRR, 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 Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 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
Proceedings of the Big Data - 8th CCF Conference, 2020
2019
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction.
Neurocomputing, 2019
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
IEEE CAA J. Autom. Sinica, 2019
IEEE Access, 2019
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 Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
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
On minimizing total energy consumption in the scheduling of virtual machine reservations.
J. Netw. Comput. Appl., 2018
Effects of preprocessing and training biases in latent factor models for recommender systems.
Neurocomputing, 2018
Neurocomputing, 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 self-training semi-supervised classification algorithm based on density peaks of data and differential evolution.
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
Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 2nd International Conference on Deep Learning Technologies, 2018
2017
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.
IEEE Trans. Ind. Informatics, 2017
Knowl. Based Syst., 2017
Long-term performance of collaborative filtering based recommenders in temporally evolving systems.
Neurocomputing, 2017
Experiments on Neighborhood Combination Strategies for Bi-objective Unconstrained Binary Quadratic Programming Problem.
Proceedings of the Parallel Architecture, Algorithm and Programming, 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
2016
Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes.
CoRR, 2016
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.
IEEE Access, 2016
An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Solving bi-objective unconstrained binary quadratic programming problem with multi-objective path relinking algorithm.
Proceedings of the 12th International Conference on Natural Computation, 2016
Solving Bi-objective Unconstrained Binary Quadratic Programming Problem with Multi-objective Backbone Guided Search Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 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
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016
A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
2015
Knowl. Based Syst., 2015
Iterative resource allocation based on propagation feature of node for identifying the influential nodes.
CoRR, 2015
CoRR, 2015
CoRR, 2015
2014
Frontiers Comput. Sci., 2014
Solving bi-objective flow shop problem with multi-objective path relinking algorithm.
Proceedings of the 10th International Conference on Natural Computation, 2014
Solving Three-Objective Flow Shop Problem with Fast Hypervolume-Based Local Search Algorithm.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2013
Information filtering in sparse online systems: recommendation via semi-local diffusion.
CoRR, 2013
CoRR, 2013
2012
A Hybrid Decision Approach to Detect Profile Injection Attacks in Collaborative Recommender Systems.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012
2010
An efficient heuristic algorithm for arbitrary shaped rectilinear block packing problem.
Comput. Oper. Res., 2010
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010
2009
CoRR, 2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009