Xiaojun Zhou

Orcid: 0000-0002-6367-696X

Affiliations:
  • Central South University, Changsha, Hunan, China


According to our database1, Xiaojun Zhou authored at least 73 papers between 2011 and 2025.

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Bibliography

2025
A Multiscale Time-Aware Graph Mamba Neural Network-Based Method for Multienergy System Consumption Quantiles Forecasting.
IEEE Syst. J., September, 2025

Interpretable Multiobjective Feature Selection via Visualization in Froth Flotation Process.
IEEE Trans. Ind. Informatics, March, 2025

A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data.
IEEE J. Biomed. Health Informatics, February, 2025

Broad reinforcement learning based adaptive state transition algorithm for global optimization.
Swarm Evol. Comput., 2025

A reinforcement learning and population-based discrete state transition algorithm for solving the multi-UAV task allocation problem with complex constraints.
Knowl. Based Syst., 2025

A fast optimization approach for seeking Nash equilibrium based on Nikaido-Isoda function, state transition algorithm and Gauss-Seidel technique.
Neurocomputing, 2025

Decoupling SQL query hardness parsing for text-to-SQL.
Neurocomputing, 2025

Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution.
Expert Syst. Appl., 2025

2024
Robust Coordinated Planning of Multi-Region Integrated Energy Systems With Categorized Demand Response.
IEEE Trans. Smart Grid, November, 2024

Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness.
IEEE Trans. Parallel Distributed Syst., November, 2024

Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024

Differentially Private Federated Learning for Multitask Objective Recognition.
IEEE Trans. Ind. Informatics, May, 2024

Soft actor-critic DRL algorithm for interval optimal dispatch of integrated energy systems with uncertainty in demand response and renewable energy.
Eng. Appl. Artif. Intell., January, 2024

An efficient ensemble learning method based on multi-objective feature selection.
Inf. Sci., 2024

A novel multi-objective optimization framework for optimal integrated energy system planning with demand response under multiple uncertainties.
Inf. Sci., 2024

A novel state transition algorithm with adaptive fuzzy penalty for multi-constraint UAV path planning.
Expert Syst. Appl., 2024

Multi-objective optimization and decision making for integrated energy system using STA and fuzzy TOPSIS.
Expert Syst. Appl., 2024

2023
An interactive feature selection method based on multi-step state transition algorithm for high-dimensional data.
Knowl. Based Syst., December, 2023

Robust optimal scheduling for integrated energy systems based on multi-objective confidence gap decision theory.
Expert Syst. Appl., October, 2023

Data-Driven State Transition Algorithm for Fuzzy Chance-Constrained Dynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP.
Inf. Fusion, August, 2023

Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems.
Appl. Intell., August, 2023

Approximate Optimal Control for Nonlinear Systems With Periodic Event-Triggered Mechanism.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

An Explainable Data-Driven Framework for Fuel Cell Aging Prediction Under Dynamic Condition.
IEEE Trans. Ind. Electron., June, 2023

A novel adaptive optimization method for deep learning with application to froth floatation monitoring.
Appl. Intell., May, 2023

Enhancing Voltage Compliance in Distribution Network Under Cloud and Edge Computing Framework.
IEEE Trans. Cloud Comput., 2023

A hierarchical evolution of neural architecture search method based on state transition algorithm.
Int. J. Mach. Learn. Cybern., 2023

An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell.
Eng. Appl. Artif. Intell., 2023

Asynchronous Federated Learning for Real-Time Multiple Licence Plate Recognition Through Semantic Communication.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Multiple Gradient Descent Design for Multi-Task Learning on Edge Computing: Multi-Objective Machine Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2022

Stackelberg Game Approach for Robust Optimization With Fuzzy Variables.
IEEE Trans. Fuzzy Syst., 2022

Nonlinear bilevel programming approach for decentralized supply chain using a hybrid state transition algorithm.
Knowl. Based Syst., 2022

An ensemble learning method based on deep neural network and group decision making.
Knowl. Based Syst., 2022

Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell.
Comput. Ind. Eng., 2022

Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy.
Appl. Soft Comput., 2022

A multiobjective state transition algorithm based on modified decomposition method.
Appl. Soft Comput., 2022

An adaptive state transition algorithm with local enhancement for global optimization.
Appl. Soft Comput., 2022

2021
Hybrid Intelligence Assisted Sample Average Approximation Method for Chance Constrained Dynamic Optimization.
IEEE Trans. Ind. Informatics, 2021

Stackelberg-Nash Game Approach for Constrained Robust Optimization With Fuzzy Variables.
IEEE Trans. Fuzzy Syst., 2021

A fast constrained state transition algorithm.
Neurocomputing, 2021

Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm.
Neurocomputing, 2021

Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification.
Appl. Soft Comput., 2021

2020
Dynamic Optimization for Copper Removal Process With Continuous Production Constraints.
IEEE Trans. Ind. Informatics, 2020

Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem.
Soft Comput., 2020

State-Transition-Algorithm-Based Underwater Multiple Objects Localization With Gravitational Field and Its Gradient Tensor.
IEEE Geosci. Remote. Sens. Lett., 2020

Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem.
Neurocomputing, 2020

Power scheduling optimization under single-valued neutrosophic uncertainty.
Neurocomputing, 2020

An ensemble learning framework based on group decision making.
CoRR, 2020

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.
Cogn. Comput., 2020

Temporal Pattern Attention-Based Sequence to Sequence model for Multistep Individual Load Forecasting.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF.
IEEE J. Biomed. Health Informatics, 2019

A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm.
IEEE Trans. Cybern., 2019

Dynamic optimization based on state transition algorithm for copper removal process.
Neural Comput. Appl., 2019

A novel modularity-based discrete state transition algorithm for community detection in networks.
Neurocomputing, 2019

Optimal Setting and Control Strategy for Industrial Process Based on Discrete-Time Fractional-Order PI $^{\lambda}$ D $^{\mu}$.
IEEE Access, 2019

Data-Driven Based State Transition Algorithm for Dynamic Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Low Register-Complexity Systolic Digit-Serial Multiplier Over GF(2<sup>m</sup>) Based on Trinomials.
IEEE Trans. Multi Scale Comput. Syst., 2018

Fractional-order PID controller tuning using continuous state transition algorithm.
Neural Comput. Appl., 2018

A dynamic state transition algorithm with application to sensor network localization.
Neurocomputing, 2018

A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem.
Cogn. Comput., 2018

Set-Point Tracking and Multi-Objective Optimization-Based PID Control for the Goethite Process.
IEEE Access, 2018

2017
A fixed time distributed optimization: A sliding mode perspective.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Global solutions to a class of CEC benchmark constrained optimization problems.
Optim. Lett., 2016

Discrete state transition algorithm for unconstrained integer optimization problems.
Neurocomputing, 2016

2015
Event based guaranteed cost consensus for distributed multi-agent systems.
J. Frankl. Inst., 2015

2014
Nonlinear system identification and control using state transition algorithm.
Appl. Math. Comput., 2014

Canonical primal-dual algorithm for solving fourth-order polynomial minimization problems.
Appl. Math. Comput., 2014

2013
A Discrete State Transition Algorithm for Generalized Traveling Salesman Problem
CoRR, 2013

A Multiobjective State Transition Algorithm for Single Machine Scheduling
CoRR, 2013

A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2012
A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony
CoRR, 2012

State Transition Algorithm
CoRR, 2012

2011
Initial Version of State Transition Algorithm.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011


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