Xiao-Jun Zeng
Orcid: 0000-0002-2320-2495
According to our database1,
Xiao-Jun Zeng
authored at least 183 papers
between 1994 and 2024.
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Bibliography
2024
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm.
CoRR, 2024
2023
Expert Syst. Appl., November, 2023
Eng. Appl. Artif. Intell., November, 2023
IEEE Trans. Veh. Technol., July, 2023
A sentiment analysis-based two-stage consensus model of large-scale group with core-periphery structure.
Inf. Sci., April, 2023
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels.
CoRR, 2023
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR, 2023
Reward-Guided Individualised Communication for Deep Reinforcement Learning in Multi-Agent Systems.
Proceedings of the Advances in Computational Intelligence Systems, 2023
Proceedings of the Advances in Computational Intelligence Systems, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
2022
A Multifocus Image Fusion Scheme Based on Similarity Measure of Transformed Isosceles Triangles Between Intuitionistic Fuzzy Sets.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Fuzzy Syst., 2022
Functional Fuzzy System: A Nonlinear Regression Model and Its Learning Algorithm for Function-on-Function Regression.
IEEE Trans. Fuzzy Syst., 2022
Decision-Making Models Based on Incomplete Hesitant Fuzzy Linguistic Preference Relation With Application to Site Selection of Hydropower Stations.
IEEE Trans. Engineering Management, 2022
A process-oriented probabilistic linguistic decision-making model with unknown attribute weights.
Knowl. Based Syst., 2022
Transitivity and approximate consistency threshold determination for reciprocal preference relations in group decision making.
J. Oper. Res. Soc., 2022
CoRR, 2022
Hesitant fuzzy linguistic iterative method for consistency and consensus-driven group decision making.
Comput. Ind. Eng., 2022
Sustainable evaluation of energy storage technologies for wind power generation: A multistage decision support framework under multi-granular unbalanced hesitant fuzzy linguistic environment.
Appl. Soft Comput., 2022
Uncertain linguistic terms with weakened hedges for multi-granular linguistic decision making with its application to evaluating communication technologies.
Appl. Intell., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Inf. Sci., 2021
Inf. Sci., 2021
An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection.
Fuzzy Optim. Decis. Mak., 2021
Group decision making with hesitant fuzzy linguistic preference relations based on modified extent measurement.
Expert Syst. Appl., 2021
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing.
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Eng. Appl. Artif. Intell., 2021
Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids.
CoRR, 2021
Satisfaction-driven consensus model for social network MCGDM with incomplete information under probabilistic linguistic trust.
Comput. Ind. Eng., 2021
Identifying critical causal criteria of green supplier evaluation using heterogeneous judgements: An integrated approach based on cloud model and DEMATEL.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
Solving matrix games based on Ambika method with hesitant fuzzy information and its application in the counter-terrorism issue.
Appl. Intell., 2021
Decentralised and Privacy Preserving Machine Learning for Multiple Distributed Data Resources.
Proceedings of the Advances in Computational Intelligence Systems, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IEEE Trans. Cybern., 2020
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making.
Inf. Sci., 2020
Learning data streams online - An evolving fuzzy system approach with self-learning/adaptive thresholds.
Inf. Sci., 2020
IEEE Commun. Lett., 2020
Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis.
Fuzzy Sets Syst., 2020
Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach.
Expert Syst. Appl., 2020
Integrations of Continuous Hesitant Fuzzy Information in Group Decision Making With a Case Study of Water Resources Emergency Management.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
IEEE Trans. Fuzzy Syst., 2019
IEEE Trans. Fuzzy Syst., 2019
Uncertain random simulation algorithm with application to bottleneck assignment problem.
Soft Comput., 2019
Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size.
Neurocomputing, 2019
Comput. Networks, 2019
An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions.
IEEE Access, 2019
Load- and Interference-Balance Hybrid Routing Protocol for Hybrid Wireless Mesh Network.
Proceedings of the 2019 Wireless Days, 2019
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019
Proceedings of the Advances in Computational Intelligence Systems, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Knowl. Based Syst., 2018
Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty.
Inf. Sci., 2018
An integrated <i>optimization + learning</i> approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids.
Inf. Sci., 2018
Inf. Sci., 2018
Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges.
Inf. Fusion, 2018
Decision Analysis on Choquet Integral-Based Multi-Criteria Decision-Making with Imprecise Information.
Int. J. Inf. Technol. Decis. Mak., 2018
Learning evolving T-S fuzzy systems with both local and global accuracy - A local online optimization approach.
Appl. Soft Comput., 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Demand Based Bidding Strategies Under Interval Demand for Integrated Demand and Supply Management.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China.
Inf. Sci., 2017
A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations.
Int. J. Comput. Intell. Syst., 2017
Designing an intelligent decision support system for effective negotiation pricing: A systematic and learning approach.
Decis. Support Syst., 2017
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
An Integrated Software System for Supporting Real-Time Near-Infrared Spectral Big Data Analysis and Management.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
2016
A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid.
IEEE Trans. Smart Grid, 2016
An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations.
Inf. Sci., 2016
An Integrated Optimization+ Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids.
CoRR, 2016
Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis.
Appl. Soft Comput., 2016
Integrated Demand and Supply Side Pricing Optimization Schemes for Electricity Market.
Proceedings of the Advances in Computational Intelligence Systems, 2016
Modified Evolving Participatory Learning Algorithms for Takagi-Sugeno Fuzzy System Modelling from Streaming Data.
Proceedings of the Advances in Computational Intelligence Systems, 2016
Combining Mouse and Keyboard Events with Higher Level Desktop Actions to Detect Mild Cognitive Impairment.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
IEEE Trans. Fuzzy Syst., 2015
Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making.
IEEE Trans. Fuzzy Syst., 2015
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets.
Knowl. Based Syst., 2015
Novel correlation coefficients between hesitant fuzzy sets and their application in decision making.
Knowl. Based Syst., 2015
J. Intell. Fuzzy Syst., 2015
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
CoRR, 2015
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015
Appliance level demand modeling and pricing optimization for demand response management in smart grid.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Twitter-Based Recommender System to Address Cold-Start: A Genetic Algorithm Based Trust Modelling and Probabilistic Sentiment Analysis.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Accurate similarity analysis and computing of Gaussian membership functions for FNN simplification.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
Proceedings of the Business Information Systems - 18th International Conference, 2015
2014
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making.
Inf. Sci., 2014
Proceedings of the Symposium on Applied Computing, 2014
An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the Second International Conference on Advanced Cloud and Big Data, 2014
2013
A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid.
Soft Comput., 2013
A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems.
Inf. Sci., 2013
ICNC-FSKD 2012 Special Issue on "Computers & Mathematics in Natural Computation and Data Mining".
Comput. Math. Appl., 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
A New Approach to Demand Modelling and Optimisation in Pricing Decision Support Systems.
Proceedings of the IEEE International Conference on Systems, 2013
An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach.
Proceedings of the 2013 Imperial College Computing Student Workshop, 2013
2012
T-S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Neurocomputing, 2012
Guest editorial: Evolving learning and adaptive modelling approaches to prediction, forecasting and control - preface to the special issue.
Evol. Syst., 2012
An improved approach of self-organising fuzzy neural network based on similarity measures.
Evol. Syst., 2012
A Stackelberg Game Approach to maximise electricity retailer's profit and minimse customers' bills for future smart grid.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012
Proceedings of the FUZZ-IEEE 2012, 2012
A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme.
Proceedings of the FUZZ-IEEE 2012, 2012
Universal fuzzy models and universal fuzzy controllers based on generalized T-S fuzzy models.
Proceedings of the FUZZ-IEEE 2012, 2012
Proceedings of the Business Process Management Workshops, 2012
2011
Trans. Rough Sets, 2011
An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems.
IEEE Trans. Fuzzy Syst., 2011
Soc. Netw. Anal. Min., 2011
Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification.
Int. J. Approx. Reason., 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
T-S fuzzy systems approach to approximation and robust controller design for general nonlinear systems.
Proceedings of the FUZZ-IEEE 2011, 2011
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011
2010
Discussion on: ''Exponential Stability Based Design of Constrained Fuzzy Predictive Control''.
Eur. J. Control, 2010
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System.
IEEE Trans. Fuzzy Syst., 2009
Comparing data mining methods with logistic regression in childhood obesity prediction.
Inf. Syst. Frontiers, 2009
Int. J. Syst. Sci., 2009
Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications.
Neurocomputing, 2009
Generating Automatic Fuzzy System from Relational Database System for Estimating Null Values.
Cybern. Syst., 2009
Output tracking of constrained nonlinear processes with offset-free input-to-state stable fuzzy predictive control.
Autom., 2009
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems.
Appl. Soft Comput., 2009
Predicting the Outcome of Tuberculosis Treatment Course in Frame of Dots - From Demographic Data to Logistic Regression Model.
Proceedings of the Second International Conference on Health Informatics, 2009
2008
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors.
IEEE Trans. Neural Networks, 2008
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.
IEEE Trans. Fuzzy Syst., 2008
Kernel regression networks with local structural information and covariance volume adaptation.
Neurocomputing, 2008
Int. J. Intell. Syst. Technol. Appl., 2008
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
An incremental construction learning algorithm for identification of T-S Fuzzy Systems.
Proceedings of the FUZZ-IEEE 2008, 2008
2007
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2007
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
IEEE Trans. Neural Networks, 2007
Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables.
Neurocomputing, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation.
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
2006
IEEE Trans. Syst. Man Cybern. Part A, 2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
Evaluating the effect of rough set feature selection on the performance of decision trees.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
Fuzzy Systems Approach to Approximation and Stabilization of Conventional Affine Nonlinear Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
IEEE Trans. Fuzzy Syst., 2005
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
IEEE Trans. Syst. Man Cybern. Part C, 2003
2002
IEEE Trans. Consumer Electron., 2002
1997
IEEE Trans. Syst. Man Cybern. Part A, 1997
1996
IEEE Trans. Syst. Man Cybern. Part B, 1996
A relationship between membership functions and approximation accuracy in fuzzy systems.
IEEE Trans. Syst. Man Cybern. Part B, 1996
IEEE Trans. Fuzzy Syst., 1996
IEEE Trans. Fuzzy Syst., 1996
Comments on Singh and Zeng: "Approximation theory of fuzzy systems-SISO case" [and reply].
IEEE Trans. Fuzzy Syst., 1996
1995
1994