Yun Li

Orcid: 0000-0002-6575-1839

Affiliations:
  • Dongguan University of Technology, College of Computer Science and Technology, China
  • University of Glasgow, UK
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Yun Li authored at least 133 papers between 1996 and 2024.

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Bibliography

2024
Federated Graph Augmentation for Semisupervised Node Classification.
IEEE Trans. Comput. Soc. Syst., June, 2024

Knowledge Transfer Framework for PVT Robustness in Analog Integrated Circuits.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Mean-based Borda count for paradox-free comparisons of optimization algorithms.
Inf. Sci., March, 2024

Tensorial Evolutionary Computation for Spatial Optimization Problems.
IEEE Trans. Artif. Intell., January, 2024

On the representativeness metric of benchmark problems in numerical optimization.
Swarm Evol. Comput., 2024

A two-level surrogate framework for demand-objective time-variant reliability-based design optimization.
Reliab. Eng. Syst. Saf., 2024

Dynamic pruning-based Bayesian support vector regression for reliability analysis.
Reliab. Eng. Syst. Saf., 2024

Rough set Theory-Based group incremental approach to feature selection.
Inf. Sci., 2024

Interpretable Spatial-Temporal Graph Convolutional Network for System Log Anomaly Detection.
Adv. Eng. Informatics, 2024

Growing NAS for Complex-Valued CNNs in Digital Predistortion Power Amplifier Applications.
Proceedings of the International Joint Conference on Neural Networks, 2024

Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
A Self-Adaptive Learning Approach for Uncertain Disassembly Planning Based on Extended Petri Net.
IEEE Trans. Ind. Informatics, December, 2023

Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System.
IEEE Trans. Knowl. Data Eng., October, 2023

Paradox-Free Analysis for Comparing the Performance of Optimization Algorithms.
IEEE Trans. Evol. Comput., October, 2023

Solving many-task optimization problems via online intertask learning.
Expert Syst. Appl., September, 2023

Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

A partition-based convergence framework for population-based optimization algorithms.
Inf. Sci., May, 2023

Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization.
IEEE Trans. Evol. Comput., 2023

Automatically-Grown Optimal Neural Controller.
Proceedings of the 28th International Conference on Automation and Computing, 2023

Graph Theory Based Machine Learning for Analog Circuit Design.
Proceedings of the 28th International Conference on Automation and Computing, 2023

Circuit Optimization over Multiple Process Corners for Analog Electronic Design Automation.
Proceedings of the 28th International Conference on Automation and Computing, 2023

ECSFF: Exploring Efficient Cross-Scale Feature Fusion for Medical Image Segmentation.
Proceedings of the 28th International Conference on Automation and Computing, 2023

Multi-Task Evolutionary to PVT Knowledge Transfer for Analog Integrated Circuit Optimization.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Region-based Evaluation Particle Swarm Optimization with Dual Solution Libraries for Real-time Traffic Signal Timing Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Paradox-free analysis for comparing the performance of optimization algorithms.
Dataset, August, 2022

Real Environment-Aware Multisource Data-Associated Cold Chain Logistics Scheduling: A Multiple Population-Based Multiobjective Ant Colony System Approach.
IEEE Trans. Intell. Transp. Syst., 2022

Evolutionary Architectural Search for Generative Adversarial Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Improving Neural Network Time Series Prediction with a GA-BFGS Grown Dynamic Architecture.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Social learning particle swarm optimization with two-surrogate collaboration for offline data-driven multiobjective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Progressive sampling surrogate-assisted particle swarm optimization for large-scale expensive optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Adversarial Differential Evolution for Multimodal Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Bilevel-search particle swarm optimization for computationally expensive optimization problems.
Soft Comput., 2021

Active Learning Kriging Model With Adaptive Uniform Design for Time-Dependent Reliability Analysis.
IEEE Access, 2021

2020
Paradoxes in Numerical Comparison of Optimization Algorithms.
IEEE Trans. Evol. Comput., 2020

Improved evolutionary algorithm for parallel batch processing machine scheduling in additive manufacturing.
Int. J. Prod. Res., 2020

An Analysis of the Allometric and Multifractal Features of a Development in the Urban-Rural Area in the Lower Reaches of the Yangtze River: 2012 Cross-Sectional Data of Four Provinces and One City.
Complex., 2020

Experimental Studies of Tail Shapes for Hummingbird-Like Flapping Wing Micro Air Vehicles.
IEEE Access, 2020

Look-ahead natural evolutionary strategies.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Ship Design with a Morphing Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Smart manufacturing based on cyber-physical systems and beyond.
J. Intell. Manuf., 2019

A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement.
Inf. Sci., 2019

Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption.
Int. J. Bio Inspired Comput., 2019

Parallel transfer evolution algorithm.
Appl. Soft Comput., 2019

Long-Term Routing Stability of Wireless Sensor Networks in a Real-World Environment.
IEEE Access, 2019

Benchmarks for Evaluating Optimization Algorithms and Benchmarking MATLAB Derivative-Free Optimizers for Practitioners' Rapid Access.
IEEE Access, 2019

Intelligent Autonomous Pollination for Future Farming - A Micro Air Vehicle Conceptual Framework With Artificial Intelligence and Human-in-the-Loop.
IEEE Access, 2019

Evolutionary Computation Automated Design of Ship Hull Forms for the Industry 4.0 Era.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Level-Based Learning Swarm Optimizer for Large-Scale Optimization.
IEEE Trans. Evol. Comput., 2018

An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing.
IEEE Trans. Evol. Comput., 2018

An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing.
Inf. Sci., 2018

Robust Design for the Lower Extremity Exoskeleton Under a Stochastic Terrain by Mimicking Wolf Pack Behaviors.
IEEE Access, 2018

Simplex Search-Based Brain Storm Optimization.
IEEE Access, 2018

Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Cloudde: A Heterogeneous Differential Evolution Algorithm and Its Distributed Cloud Version.
IEEE Trans. Parallel Distributed Syst., 2017

GRfid: A Device-Free RFID-Based Gesture Recognition System.
IEEE Trans. Mob. Comput., 2017

Adaptive Multimodal Continuous Ant Colony Optimization.
IEEE Trans. Evol. Comput., 2017

A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection.
IEEE Trans. Evol. Comput., 2017

Multimodal Estimation of Distribution Algorithms.
IEEE Trans. Cybern., 2017

Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization.
IEEE Trans. Cybern., 2017

Molecular dynamics simulation of persistent slip bands formation in nickel-base superalloys.
Int. J. Autom. Comput., 2017

Improving Brain Storm Optimization Algorithm via Simplex Search.
CoRR, 2017

Flexible genetic algorithm: A simple and generic approach to node placement problems.
Appl. Soft Comput., 2017

Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Survey on artificial intelligence for additive manufacturing.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Univariate Gaussian Model for Multimodal Inseparable Problems.
Proceedings of the Intelligent Computing Theories and Application, 2017

Benchmarking and Evaluating MATLAB Derivative-Free Optimisers for Single-Objective Applications.
Proceedings of the Intelligent Computing Theories and Application, 2017

Understanding spatial related network challenges from physical and network layers.
Proceedings of the 2017 International Conference on Computing, 2017

Particle filter track-before-detect algorithm with Lamarckian inheritance for improved dim target tracking.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Kuhn-Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks.
IEEE Trans. Evol. Comput., 2016

Fast Micro-Differential Evolution for Topological Active Net Optimization.
IEEE Trans. Cybern., 2016

Genetic Learning Particle Swarm Optimization.
IEEE Trans. Cybern., 2016

Topology selection for particle swarm optimization.
Inf. Sci., 2016

Predicting types of failures in wireless sensor networks using an adaptive neuro-fuzzy inference system.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Wind tunnel experiments of novel wing configurations for design and customisation in an industry 4.0 environment.
Proceedings of the 10th International Conference on Software, 2016

Attribute identification and predictive customisation using fuzzy clustering and genetic search for Industry 4.0 environments.
Proceedings of the 10th International Conference on Software, 2016

Pareto-optimality solution recommendation using a multi-objective artificial wolf-pack algorithm.
Proceedings of the 10th International Conference on Software, 2016

Speciation and diversity balance for Genetic Algorithms and application to structural neural network learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

Benchmarking heuristic search and optimisation algorithms in Matlab.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

Machine Learning with Sensitivity Analysis to Determine Key Factors Contributing to Energy Consumption in Cloud Data Centers.
Proceedings of the International Conference on Cloud Computing Research and Innovations, 2016

Set-based particle swarm optimization for mapping and scheduling tasks on heterogeneous embedded systems.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

Particle swarm optimization with Monte-Carlo simulation and hypothesis testing for network reliability problem.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

Management approaches for Industry 4.0: A human resource management perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Self-organizing tool for smart design with predictive customer needs and wants to realize Industry 4.0.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Heuristic search towards the invention of an optimal-ignition internal combustion engine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Particle filter with Lamarckian inheritance for nonlinear filtering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Smart design for ships in a smart product through-life and industry 4.0 environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Differential Evolution with an Evolution Path: A DEEP Evolutionary Algorithm.
IEEE Trans. Cybern., 2015

An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization.
IEEE Trans. Cybern., 2015

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches.
ACM Comput. Surv., 2015

Distributed evolutionary algorithms and their models: A survey of the state-of-the-art.
Appl. Soft Comput., 2015

Dynamic performance of IEEE 802.15.4 devices under persistent WiFi traffic.
Proceedings of the International Conference on Recent Advances in Internet of Things, 2015

Industry 4.0 with cyber-physical integration: A design and manufacture perspective.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Cash flow prediction using a grey-box model.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Survey of greener ignition and combustion systems for internal combustion engines.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Computational investigation of superalloy persistent slip bands formation.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Key challenges and opportunities in hull form design optimisation for marine and offshore applications.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Grey-box identification for photovoltaic power systems via particle-swarm algorithm.
Proceedings of the 21st International Conference on Automation and Computing, 2015

Evolutionary Neural Network Based Energy Consumption Forecast for Cloud Computing.
Proceedings of the 2015 International Conference on Cloud Computing Research and Innovation, 2015

Deadline Constrained Cloud Computing Resources Scheduling through an Ant Colony System Approach.
Proceedings of the 2015 International Conference on Cloud Computing Research and Innovation, 2015

2014
Bi-Velocity Discrete Particle Swarm Optimization and Its Application to Multicast Routing Problem in Communication Networks.
IEEE Trans. Ind. Electron., 2014

From the social learning theory to a social learning algorithm for global optimization.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Heuristically enhanced dynamic neural networks for structurally improving photovoltaic power forecasting.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Merging pedagogical approaches: University of Glasgow-UESTC joint education programme in electronics and electrical engineering.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2013
A Differential Evolution Algorithm With Dual Populations for Solving Periodic Railway Timetable Scheduling Problem.
IEEE Trans. Evol. Comput., 2013

Particle Swarm Optimization With an Aging Leader and Challengers.
IEEE Trans. Evol. Comput., 2013

Multivariable optimisation of a Homogeneous Charge Microwave Ignition system.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

2012
An Ant Colony Optimization Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks.
IEEE Trans. Syst. Man Cybern. Part C, 2012

An Efficient Resource Allocation Scheme Using Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2012

Forecasting of photovoltaic power yield using dynamic neural networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Orthogonal Learning Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2011

Evolutionary Computation Meets Machine Learning: A Survey.
IEEE Comput. Intell. Mag., 2011

Review electromagnetic field ignition system for Internal Combustion Engine.
Proceedings of the 17th International Conference on Automation and Computing, 2011

Reviewing DSTATCOM for smart distribution grid applications in solving power quality problems.
Proceedings of the 17th International Conference on Automation and Computing, 2011

2010
SamACO: Variable Sampling Ant Colony Optimization Algorithm for Continuous Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2010

An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem.
IEEE Trans. Intell. Transp. Syst., 2010

2009
Adaptive Particle Swarm Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2009

2008
Flexible Protein Folding by Ant Colony Optimization.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems.
J. Comput. Sci. Technol., 2008

2007
Evolutionary computation enabled game theory based modelling of electricity market behaviours and applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Continuous Function Optimization Using Hybrid Ant Colony Approach with Orthogonal Design Scheme.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

2005
PID control system analysis, design, and technology.
IEEE Trans. Control. Syst. Technol., 2005

2004
CAutoCSD-evolutionary search and optimisation enabled computer automated control system design.
Int. J. Autom. Comput., 2004

2002
Visualization Technique for Analyzing non-dominant Pareto Optimality.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

Preliminary statement on the current progress of multi-objective evolutionary algorithm performance measurement.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
GA automated design and synthesis of analog circuits with practical constraints.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000

Trajectory Controller Network and Its Design Automation Through Evolutionary Computing.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000

Time Series Prediction by Growing Lateral Delay Neural Networks.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000

Evolving trajectory controller networks from linear approximation model networks.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1996
Artificial evolution of neural networks and its application to feedback control.
Artif. Intell. Eng., 1996


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