Xingyi Zhang

Orcid: 0000-0002-5052-000X

Affiliations:
  • Anhui University, School of Computer Science and Technology, Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Hefei, China
  • Huazhong University of Science and Technology, Wuhan, China (PhD 2009)


According to our database1, Xingyi Zhang authored at least 197 papers between 2008 and 2024.

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Bibliography

2024
Efficient Sparse Large-Scale Multiobjective Optimization Based on Cross-Scale Knowledge Fusion.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng., July, 2024

Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems.
IEEE Trans. Cybern., July, 2024

Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism.
IEEE Trans. Cybern., May, 2024

Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

User Identification Across Multiple Social Networks Based on Naive Bayes Model.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Growing Neural Gas Network for Offspring Generation in Evolutionary Constrained Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A multi-granularity clustering based evolutionary algorithm for large-scale sparse multi-objective optimization.
Swarm Evol. Comput., February, 2024

An adaptive conjugate gradient accelerated evolutionary algorithm for multi-objective spot optimization in cancer intensity modulated proton therapy.
Appl. Soft Comput., January, 2024

Collaborative Cross-Network Embedding Framework for Network Alignment.
IEEE Trans. Netw. Sci. Eng., 2024

A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers.
Swarm Evol. Comput., 2024

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification.
Swarm Evol. Comput., 2024

Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization.
Swarm Evol. Comput., 2024

Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space.
J. Chem. Inf. Model., 2024

A co-evolutionary algorithm based on sparsity clustering for sparse large-scale multi-objective optimization.
Eng. Appl. Artif. Intell., 2024

A robustness division based multi-population evolutionary algorithm for solving vehicle routing problems with uncertain demand.
Eng. Appl. Artif. Intell., 2024

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
CoRR, 2024

Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation.
CoRR, 2024

Dual-State Personalized Knowledge Tracing with Emotional Incorporation.
CoRR, 2024

Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing.
CoRR, 2024

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Attacking Evolutionary Algorithms via SparseEA.
Proceedings of the Advances in Swarm Intelligence, 2024

Dual-stream Feature Augmentation for Domain Generalization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Self-Training with Contrastive Learning for Adversarial Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2024

DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

A Deep Reinforcement Learning Assisted Heuristic for Solving Traveling Salesman Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

PTMQ: Post-training Multi-Bit Quantization of Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization.
Inf. Sci., November, 2023

Convex-hull based robust evolutionary optimization approach for ROC maximization under label noise.
Appl. Soft Comput., October, 2023

Accelerating Two-Phase Multiobjective Evolutionary Algorithm for Electric Location-Routing Problems.
IEEE Trans. Intell. Transp. Syst., September, 2023

Overlapping community-based particle swarm optimization algorithm for influence maximization in social networks.
CAAI Trans. Intell. Technol., September, 2023

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier].
IEEE Comput. Intell. Mag., August, 2023

A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization.
Swarm Evol. Comput., July, 2023

Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].
IEEE Comput. Intell. Mag., May, 2023

Privacy-Preserving Link Prediction in Multiple Private Networks.
IEEE Trans. Comput. Soc. Syst., April, 2023

Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm.
IEEE Trans. Artif. Intell., April, 2023

Large-scale multimodal multiobjective evolutionary optimization based on hybrid hierarchical clustering.
Knowl. Based Syst., April, 2023

A Fast Clustering Based Evolutionary Algorithm for Super-Large-Scale Sparse Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, April, 2023

A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls.
Appl. Soft Comput., February, 2023

Local Model-Based Pareto Front Estimation for Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2023

Unsupervised Hyperspectral Band Selection via Structure-Conserved and Neighborhood-Grouped Evolutionary Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2023

Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications.
IEEE Trans. Evol. Comput., 2023

BP-triplet net for unsupervised domain adaptation: A Bayesian perspective.
Pattern Recognit., 2023

A practical tutorial on solving optimization problems via PlatEMO.
Neurocomputing, 2023

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search.
CoRR, 2023

Balancing Measurement Efficiency, Test Diversity and Security for Item Selection in On-the-Fly Assembled Multistage Adaptive Testing via a Multi-objective Evolutionary Algorithm.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Disentangled Representation Learning with Causality for Unsupervised Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
Proceedings of the IEEE International Conference on Data Mining, 2023

EQ-Net: Elastic Quantization Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Sparsity-Guided Elitism Co-Evolutionary Framework for Sparse Large-Scale Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Optimizing Large-Scale Distribution Center Locations During the COVID-19 Quarantine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Non-uniform Clustering Based Evolutionary Algorithm for Solving Large-Scale Sparse Multi-objective Optimization Problems.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems.
IEEE Trans. Intell. Transp. Syst., 2022

A Dual-Population Based Evolutionary Algorithm for Multi-Objective Location Problem Under Uncertainty of Facilities.
IEEE Trans. Intell. Transp. Syst., 2022

A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning.
IEEE Trans. Evol. Comput., 2022

Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification.
IEEE Trans. Cybern., 2022

Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2022

A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2022

SOIDP: Predicting Interlayer Links in Multiplex Networks.
IEEE Trans. Comput. Soc. Syst., 2022

A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation.
IEEE Trans. Cogn. Dev. Syst., 2022

Action Command Encoding for Surrogate-Assisted Neural Architecture Search.
IEEE Trans. Cogn. Dev. Syst., 2022

A hybrid meta-heuristic for the flexible flow shop scheduling with blocking.
Swarm Evol. Comput., 2022

A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems.
Swarm Evol. Comput., 2022

Rate-distortion optimal evolutionary algorithm for JPEG quantization with multiple rates.
Knowl. Based Syst., 2022

A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci., 2022

Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, 2022

Evolutionary Large-Scale Multi-Objective Optimization: A Survey.
ACM Comput. Surv., 2022

Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier].
IEEE Comput. Intell. Mag., 2022

An Evolutionary Multitasking Method for Multiclass Classification.
IEEE Comput. Intell. Mag., 2022

A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture.
Appl. Soft Comput., 2022

An evolutionary algorithm for solving Capacitated Vehicle Routing Problems by using local information.
Appl. Soft Comput., 2022

Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Comparative Study on Evolutionary Algorithms and Mathematical Programming Methods for Continuous Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Community Structure Enhancement-Based Community Detection Algorithm for Complex Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks.
IEEE/ACM Trans. Netw., 2021

A Local-Global Influence Indicator Based Constrained Evolutionary Algorithm for Budgeted Influence Maximization in Social Networks.
IEEE Trans. Netw. Sci. Eng., 2021

EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Feature Construction for Meta-heuristic Algorithm Recommendation of Capacitated Vehicle Routing Problems.
ACM Trans. Evol. Learn. Optim., 2021

A Coevolutionary Framework for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2021

A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2021

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

An Evolutionary Multiobjective Route Grouping-Based Heuristic Algorithm for Large-Scale Capacitated Vehicle Routing Problems.
IEEE Trans. Cybern., 2021

Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks.
IEEE Trans. Cybern., 2021

A local-to-global scheme-based multi-objective evolutionary algorithm for overlapping community detection on large-scale complex networks.
Neural Comput. Appl., 2021

Dual-decoder graph autoencoder for unsupervised graph representation learning.
Knowl. Based Syst., 2021

Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks.
Knowl. Based Syst., 2021

A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks.
Inf. Sci., 2021

A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints.
Inf. Sci., 2021

Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation.
CoRR, 2021

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics.
CoRR, 2021

A multi-objective feature selection approach based on chemical reaction optimization.
Appl. Soft Comput., 2021

An evolutionary multi-objective approach to learn from positive and unlabeled data.
Appl. Soft Comput., 2021

A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
Multi-Objective Optimization of Critical Node Detection Based on Cascade Model in Complex Networks.
IEEE Trans. Netw. Sci. Eng., 2020

A Clustering-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Shelter Location Problem Under Uncertainty of Road Networks.
IEEE Trans. Ind. Informatics, 2020

An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection.
IEEE Trans. Fuzzy Syst., 2020

An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020

A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks.
IEEE Trans. Cybern., 2020

Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer.
IEEE Trans. Cybern., 2020

Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling.
IEEE Trans. Cybern., 2020

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks.
IEEE Trans. Artif. Intell., 2020

Community detection in complex networks with an ambiguous structure using central node based link prediction.
Knowl. Based Syst., 2020

A non-revisiting genetic algorithm based on a novel binary space partition tree.
Inf. Sci., 2020

AdaBoost-inspired multi-operator ensemble strategy for multi-objective evolutionary algorithms.
Neurocomputing, 2020

A new history-guided multi-objective evolutionary algorithm based on decomposition for batching scheduling.
Expert Syst. Appl., 2020

Demand coverage diversity based ant colony optimization for dynamic vehicle routing problems.
Eng. Appl. Artif. Intell., 2020

Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal.
Appl. Soft Comput., 2020

Maximizing receiver operating characteristics convex hull via dynamic reference point-based multi-objective evolutionary algorithm.
Appl. Soft Comput., 2020

Molecular Full Adder Based on DNA Strand Displacement.
IEEE Access, 2020

Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Surrogate-Assisted Multiobjective Evolutionary Algorithm for Large-Scale Task-Oriented Pattern Mining.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput., 2019

Multi-objective evolutionary algorithm for optimizing the partial area under the ROC curve.
Knowl. Based Syst., 2019

Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier].
IEEE Comput. Intell. Mag., 2019

Multi-objective energy-aware batch scheduling using ant colony optimization algorithm.
Comput. Ind. Eng., 2019

Automated Selection of Evolutionary Multi-objective Optimization Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Evolutionary Algorithm Based on Multi-operator Ensemble for Multi-objective Optimization.
Proceedings of the Intelligent Computing Theories and Application, 2019

Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Identifying Disease Modules Based on Connectivity and Semantic Similarities.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility.
IEEE Trans. Evol. Comput., 2018

Low-rank subspace learning based network community detection.
Knowl. Based Syst., 2018

A competitive mechanism based multi-objective particle swarm optimizer with fast convergence.
Inf. Sci., 2018

MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank.
Complex., 2018

A local information based multi-objective evolutionary algorithm for community detection in complex networks.
Appl. Soft Comput., 2018

Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A Mixed Representation-Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection.
IEEE Trans. Cybern., 2017

A Fast Overlapping Community Detection Algorithm Based on Weak Cliques for Large-Scale Networks.
IEEE Trans. Comput. Soc. Syst., 2017

Theory and Application of Bio-inspired Intelligence and Methods.
J. Univers. Comput. Sci., 2017

A region division based diversity maintaining approach for many-objective optimization.
Integr. Comput. Aided Eng., 2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization.
CoRR, 2017

Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes].
IEEE Comput. Intell. Mag., 2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum].
IEEE Comput. Intell. Mag., 2017

A radial space division based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput., 2017

2016
A multi-objective membrane algorithm guided by the skin membrane.
Nat. Comput., 2016

Approximate non-dominated sorting for evolutionary many-objective optimization.
Inf. Sci., 2016

A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks.
CoRR, 2016

Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An improved reference point sampling method on Pareto optimal front.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Clique-Based Locally Consistent Latent Space Clustering for Community Detection.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Detecting coordinated regulations of pathways by higher logic analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
On the Universality of Axon P Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2015

An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2015

2014
On Some Classes of Sequential Spiking Neural P Systems.
Neural Comput., 2014

Spiking Neural P Systems with a Generalized Use of Rules.
Neural Comput., 2014

Spiking Neural P Systems with Thresholds.
Neural Comput., 2014

Implementation of Membrane Algorithms on GPU.
J. Appl. Math., 2014

Computational power of tissue P systems for generating control languages.
Inf. Sci., 2014

Weighted Spiking Neural P Systems with Rules on Synapses.
Fundam. Informaticae, 2014

Decision-Making Strategies for Multi-Objective Community Detection in Complex Networks.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2013
A Local Elitism Based Membrane Evolutionary Algorithm for Point Pattern Matching.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2012
Spiking Neural P Systems with Weighted Synapses.
Neural Process. Lett., 2012

Small Universal Tissue P Systems with Symport/Antiport Rules.
Int. J. Comput. Commun. Control, 2012

A uniform solution to the independent set problem through tissue P systems with cell separation.
Frontiers Comput. Sci., 2012

Sequential spiking neural P systems with exhaustive use of rules.
Biosyst., 2012

2011
Time-Free Spiking Neural P Systems.
Neural Comput., 2011

Linear Time Solution to Prime Factorization by Tissue P Systems with Cell Division.
Int. J. Nat. Comput. Res., 2011

Tissue P systems with cell separation: attacking the partition problem.
Sci. China Inf. Sci., 2011

On alpha-mean of Kullback-Leibler divergences for subspace selection.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Spiking Neural P Systems for Arithmetic Operations.
Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

2010
Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources.
Theor. Comput. Sci., 2010

Solving Vertex Cover Problem by Means of Tissue P Systems with Cell Separation.
Int. J. Comput. Commun. Control, 2010

Similarity analysis of DNA sequences based on a compact representation.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Small universal asynchronous spiking neural P systems.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
On languages generated by asynchronous spiking neural P systems.
Theor. Comput. Sci., 2009

A Note on the Generative Power of Axon P Systems.
Int. J. Comput. Commun. Control, 2009

Homogeneous Spiking Neural P Systems.
Fundam. Informaticae, 2009

2008
On string languages generated by spiking neural P systems with exhaustive use of rules.
Nat. Comput., 2008

Smaller Universal Spiking Neural P Systems.
Fundam. Informaticae, 2008


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