Xiang Feng

Orcid: 0000-0001-6083-3440

Affiliations:
  • East China University of Science and Technology (ECUST), Department of Computer Science and Engineering, Shanghai, China
  • Shanghai Engineering Research Center of Smart Energy, China
  • ECUST, School of control theory and engineering, China (PhD 2006)


According to our database1, Xiang Feng authored at least 62 papers between 2009 and 2026.

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Timeline

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Bibliography

2026
Enhancing Landscape Approximation With Ensemble-Based Surrogate Model for Expensive Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2026

A Cooperative Multiagent Reinforcement Learning Method Based on Reward Decomposition for Scalable Agent Environments.
IEEE Trans. Cogn. Dev. Syst., April, 2026

Component-level knowledge transfer based on diffusion model in evolutionary multitasking.
Swarm Evol. Comput., 2026

A Multi-Agent Continual reinforcement learning framework with multi-Timescale replay and dynamic task classification.
Neural Networks, 2026

A privacy protection mechanism in distributed reinforcement learning using zero-knowledge proof.
Future Gener. Comput. Syst., 2026

Efficient and safe decision-making in reinforcement learning: One-step anticipatory policy selector with adaptive safety thresholds.
Expert Syst. Appl., 2026

Dynamic adaptive attention optimization for cross-domain few-shot learning.
Expert Syst. Appl., 2026

Trustworthy distributed mirror learning for secure and private multi-agent coordination.
Eng. Appl. Artif. Intell., 2026

2025
Prediction, Generation of WWTPs microbiome community structures and Clustering of WWTPs various feature attributes using DE-BP model, SiTime-GAN model and DPNG-EPMC ensemble clustering algorithm with modulation of microbial ecosystem health.
CoRR, September, 2025

Solving High-Dimensional Expensive Multiobjective Optimization Problems by Adaptive Decision Variable Grouping.
IEEE Trans. Evol. Comput., August, 2025

MAST: Multiagent Safe Transformer for Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., August, 2025

An emotional preference ensemble clustering based on directional increment and non-linear cosine adaptive crossover and mutation.
Appl. Intell., July, 2025

Embracing Multiheterogeneity and Privacy Security Simultaneously: A Dynamic Privacy-Aware Federated Reinforcement Learning Approach.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

PSCD: Synergistic optimization of parameter sharing and chain distillation for plasticity-stability balance in continual learning.
Knowl. Based Syst., 2025

HyperMem: Hypernetwork with memory for forgetting problem in federated reinforcement learning.
Expert Syst. Appl., 2025

A safe multi-agent reinforcement learning algorithm using constraint update projection approach.
Eng. Appl. Artif. Intell., 2025

Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024
A Dynamic Knowledge-Guided Coevolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024

A Brain-Inspired Incremental Multitask Reinforcement Learning Approach.
IEEE Trans. Cogn. Dev. Syst., June, 2024

Few-shot classification via efficient meta-learning with hybrid optimization.
Eng. Appl. Artif. Intell., January, 2024

To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity.
Knowl. Based Syst., 2024

Contrastive variational auto-encoder driven convergence guidance in evolutionary multitasking.
Appl. Soft Comput., 2024

2023
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks.
J. Grid Comput., December, 2023

A large-scale multiobjective evolutionary algorithm with overlapping decomposition and adaptive reference point selection.
Appl. Intell., October, 2023

An efficient evolutionary algorithm based on deep reinforcement learning for large-scale sparse multiobjective optimization.
Appl. Intell., September, 2023

A Monte Carlo manifold spectral clustering algorithm based on emotional preference and migratory behavior.
Appl. Intell., August, 2023

Small-sample size problems solving based on incremental learning: an adaptive Bayesian quadrature approach.
Appl. Intell., June, 2023

Unsupervised few-shot image classification via one-vs-all contrastive learning.
Appl. Intell., April, 2023

An opposition-based differential evolution clustering algorithm for emotional preference and migratory behavior optimization.
Knowl. Based Syst., 2023

BDLA: Bi-directional local alignment for few-shot learning.
Appl. Intell., 2023

Broad learning algorithm of cascaded enhancement nodes based on phase space reconstruction.
Appl. Intell., 2023

2022
A constrained multiobjective evolutionary algorithm with the two-archive weak cooperation.
Inf. Sci., 2022

Cooperative density-aware representation learning for few-shot visual recognition.
Neurocomputing, 2022

Multi-granularity competition-cooperation optimization algorithm with adaptive parameter configuration.
Appl. Intell., 2022

A migratory behavior and emotional preference clustering algorithm based on learning vector quantization and gaussian mixture model.
Appl. Intell., 2022

A Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
A Parallel Social Spider Optimization Algorithm Based on Emotional Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Large Margin Graph Embedding-Based Discriminant Dimensionality Reduction.
Sci. Program., 2021

Community Detection Algorithm Based on Intelligent Calculation of Complex Network Nodes.
Mob. Inf. Syst., 2021

Group competition-cooperation optimization algorithm.
Appl. Intell., 2021

2020
A clustering algorithm based on emotional preference and migratory behavior.
Soft Comput., 2020

A novel parallel object-tracking behavior algorithm based on dynamics for data clustering.
Soft Comput., 2020

2019
The social team building optimization algorithm.
Soft Comput., 2019

Physarum-energy optimization algorithm.
Soft Comput., 2019

基于状态转移和模糊思考的迁徙优化算法 (Migration Optimization Algorithm Based on State Transition and Fuzzy Thinking).
计算机科学, 2019

2018
A Novel Intelligence Algorithm Based on the Social Group Optimization Behaviors.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Particle state change algorithm.
Soft Comput., 2018

Mosquito Host-Seeking Algorithm Based on Random Walk and Game of Life.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
A new multi-colony fairness algorithm for feature selection.
Soft Comput., 2017

A Competitive Social Spider Optimization with Learning Strategy for PID Controller Optimization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2016
A new internet of things group search optimizer.
Int. J. Commun. Syst., 2016

Crystal Energy Optimization Algorithm.
Comput. Intell., 2016

Group mosquito host-seeking algorithm.
Appl. Intell., 2016

2015
A novel optimization algorithm inspired by the creative thinking process.
Soft Comput., 2015

Double-fold localized multiple matrixized learning machine.
Inf. Sci., 2015

Social Group Search Optimizer Algorithm for Ad Hoc Network.
Ad Hoc Sens. Wirel. Networks, 2015

2014
Multi-kernel classification machine with reduced complexity.
Knowl. Based Syst., 2014

2013
Behavioral modeling with the new bio-inspired coordination generalized molecule model algorithm.
Inf. Sci., 2013

A novel bio-inspired approach based on the behavior of mosquitoes.
Inf. Sci., 2013

2009
A New Bio-inspired Approach to the Traveling Salesman Problem.
Proceedings of the Complex Sciences, 2009

Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model.
Proceedings of the Complex Sciences, 2009

Optimization Using a New Bio-inspired Approach.
Proceedings of the Complex Sciences, 2009


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