Ke Li

Orcid: 0000-0001-7200-4244

Affiliations:
  • University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK (since 2016)
  • University of Birmingham, UK (2015 - 2016)
  • Michigan State University, East Lansing, MI, USA (2014 - 2015)
  • City University of Hong Kong, Hong Kong (PhD 2014)
  • Xiangtan University, Institute of Information Engineering, Hunan, China (2003 - 2010)


According to our database1, Ke Li authored at least 149 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis.
IEEE Trans. Evol. Comput., December, 2024

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments.
IEEE Trans. Evol. Comput., October, 2024

Multioutput Framework for Time-Series Forecasting in Smart Grid Meets Data Scarcity.
IEEE Trans. Ind. Informatics, September, 2024

A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization.
IEEE Trans. Cybern., July, 2024

Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search.
IEEE Trans. Evol. Comput., June, 2024

An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity.
IEEE Trans. Artif. Intell., June, 2024

A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint.
IEEE Trans. Evol. Comput., February, 2024

Evolutionary Multi-objective Optimization for Contextual Adversarial Example Generation.
Proc. ACM Softw. Eng., 2024

A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part II - A Data Science Perspective.
CoRR, 2024

Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models.
CoRR, 2024

Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

OpenTOS: Open-source System for Transfer Learning Bayesian Optimization.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Neural Architecture Search for Portrait Parsing.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation.
IEEE Trans. Evol. Comput., February, 2023

MTLP-JR: Multi-task learning-based prediction for joint ranking in neural architecture search.
Comput. Electr. Eng., January, 2023

Interactive Evolutionary Multiobjective Optimization via Learning to Rank.
IEEE Trans. Evol. Comput., 2023

Towards the Inferrence of Structural Similarity of Combinatorial Landscapes.
CoRR, 2023

On the Hyperparameter Landscapes of Machine Learning Algorithms.
CoRR, 2023

Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit.
CoRR, 2023

Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning.
CoRR, 2023

Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning.
CoRR, 2023

Reactive Perturbation Defocusing for Textual Adversarial Defense.
CoRR, 2023

Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis.
CoRR, 2023

Empirical Studies of Resampling Strategies in Noisy Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Preference-Based Multi-Objective Optimization with Gaussian Process.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Sparse Adversarial Attack via Bi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Single Application Service Deployment in the Edge Environment Based on the E-CARGO Model.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Boosting Text Augmentation via Hybrid Instance Filtering Framework.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification.
IEEE Trans. Evol. Comput., 2022

Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization.
IEEE Trans. Evol. Comput., 2022

Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies.
IEEE Trans. Cybern., 2022

Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid.
Memetic Comput., 2022

Augmentor or Filter? Reconsider the Role of Pre-trained Language Model in Text Classification Augmentation.
CoRR, 2022

PyABSA: Open Framework for Aspect-based Sentiment Analysis.
CoRR, 2022

Evolutionary Multi-Task Injection Testing on Web Application Firewalls.
CoRR, 2022

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank.
CoRR, 2022

Art-Attack: Black-Box Adversarial Attack via Evolutionary Art.
CoRR, 2022

Automated Few-Shot Time Series Forecasting based on Bi-level Programming.
CoRR, 2022

LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective.
CoRR, 2022

Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization?
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Adversarial example generation via genetic algorithm: a preliminary result.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Black-box adversarial attack via overlapped shapes.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm.
Swarm Evol. Comput., 2021

Bayesian network based label correlation analysis for multi-label classifier chain.
Inf. Sci., 2021

TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework.
CoRR, 2021

Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation.
CoRR, 2021

Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms.
CoRR, 2021

An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization.
Proceedings of the Advances in Computational Intelligence Systems, 2021

ADMM-based OPF Problem Against Cyber Attacks in Smart Grid.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Large-Scale Evolutionary Optimization via Multi-Task Random Grouping.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Knee Point Identification Based on the Geometric Characteristic.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Empirical study of correlations in the fitness landscapes of combinatorial optimization problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points.
IEEE Trans. Evol. Comput., 2020

Evolutionary Many-Objective Optimization Based on Adversarial Decomposition.
IEEE Trans. Cybern., 2020

Knee Point Identification Based on Trade-Off Utility.
CoRR, 2020

Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems.
CoRR, 2020

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study.
CoRR, 2020

Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities.
CoRR, 2020

Knee Point Identification Based on Voronoi Diagram.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

DeepSQLi: deep semantic learning for testing SQL injection.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Performance Analysis of SDN and NFV enabled Mobile Cloud Computing.
Proceedings of the IEEE Global Communications Conference, 2020

Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Decomposition multi-objective optimisation: current developments and future opportunities.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Routing-Led Placement of VNFs in Arbitrary Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions.
IEEE Trans. Fuzzy Syst., 2019

Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Swarm Evol. Comput., 2019

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points.
CoRR, 2019

Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Progressive Preference Learning: Proof-of-Principle Results in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software.
ACM Trans. Softw. Eng. Methodol., 2018

R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points.
IEEE Trans. Evol. Comput., 2018

Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection.
IEEE Trans. Evol. Comput., 2018

Dynamic Multiobjectives Optimization With a Changing Number of Objectives.
IEEE Trans. Evol. Comput., 2018

Integration of Preferences in Decomposition Multiobjective Optimization.
IEEE Trans. Cybern., 2018

Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions.
CoRR, 2018

Efficient algorithm for traffic engineering in Cloud-of-Things and edge computing.
Comput. Electr. Eng., 2018

Multi-Tenant Cloud Service Composition Using Evolutionary Optimization.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Decomposition multi-objective optimisation: current developments and future opportunities.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017

Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2017

Recent advances in semantic computing and personalization.
Neurocomputing, 2017

Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization.
CoRR, 2017

Integration of Preferences in Decomposition Multi-Objective Optimization.
CoRR, 2017

Efficient Algorithm for Traffic Engineering in Multi-domain Networks.
Proceedings of the Smart Computing and Communication, 2017

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Personalized search for social media via dominating verbal context.
Neurocomputing, 2016

Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization.
CoRR, 2016

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives.
CoRR, 2016

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime.
CoRR, 2016

Variable Interaction in Multi-objective Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Towards optimal outsourcing of service function chain across multiple clouds.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition.
IEEE Trans. Evol. Comput., 2015

Interrelationship-Based Selection for Decomposition Multiobjective Optimization.
IEEE Trans. Cybern., 2015

A dual-population paradigm for evolutionary multiobjective optimization.
Inf. Sci., 2015

Class-specific soft voting based multiple extreme learning machines ensemble.
Neurocomputing, 2015

Multi-topology routing based egress selection approach to achieve hybrid intra-AS and inter-AS traffic engineering.
Int. J. Commun. Syst., 2015

Network distance prediction for enabling service-oriented applications over large-scale networks.
IEEE Commun. Mag., 2015

Two-Level Stable Matching-Based Selection in MOEA/D.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Energy and performance management in large data centers: A queuing theory perspective.
Proceedings of the International Conference on Computing, Networking and Communications, 2015

Evolutionary multiobjective optimization with hybrid selection principles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2014

Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Evol. Comput., 2014

Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2014

Evaluating the benefit of the core-edge separation on intradomain traffic engineering under uncertain traffic demand.
J. Netw. Comput. Appl., 2014

A general framework for evolutionary multiobjective optimization via manifold learning.
Neurocomputing, 2014

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Multiple topologies routing for improving service management in OSPF networks.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

An Energy-Efficient Power Control Approach for IEEE 802.11n Wireless LANs.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

2013
Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization.
Inf. Sci., 2013

2012
Achieving balance between proximity and diversity in multi-objective evolutionary algorithm.
Inf. Sci., 2012

Multi-objective differential evolution with self-navigation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A weighted voting method using minimum square error based on Extreme Learning Machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Edge router selection and traffic engineering in LISP-capable networks.
J. Commun. Networks, 2011

Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm.
Proceedings of the IEEE International Conference on Systems, 2011

Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

ERMAO: An Enhanced Intradomain Traffic Engineering Approach in LISP-Capable Networks.
Proceedings of the Global Communications Conference, 2011

JGBL paradigm: a novel strategy to enhance the exploration ability of nsga-ii.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010

A grid-based fitness strategy for evolutionary many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
A Novel Algorithm for Non-dominated Hypervolume-based Multiobjective Optimization.
Proceedings of the IEEE International Conference on Systems, 2009

An Spanning Tree Based Method For Pruning Non-Dominated Solutions in Multi-Objective Optimization Problems.
Proceedings of the IEEE International Conference on Systems, 2009

Objective Reduction Based on the Least Square Method for Large-Dimensional Multi-objective Optimization Problem.
Proceedings of the Fifth International Conference on Natural Computation, 2009

The Convergence Analysis of Genetic Algorithm Based on Space Mating.
Proceedings of the Fifth International Conference on Natural Computation, 2009

An Improved Differential Evolution for Multi-objective Optimization.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


  Loading...