Xiangxiang Zeng

Kenli Li

David Orellana-Martín

IEEE Trans. Computers, September, 2023

Chemical structure-aware molecular image representation learning.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

Sequence Alignment/Map format: a comprehensive review of approaches and applications.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

Spiking neural P systems with weights and delays on synapses.

[BibT_eX]

[DOI]

Yanyan Li

Theor. Comput. Sci., August, 2023

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., July, 2023

Evolutionary Multi-Objective Optimization in Searching for Various Antimicrobial Peptides [Feature].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., May, 2023

Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder.

[BibT_eX]

[DOI]

Briefings Bioinform., May, 2023

Monodirectional evolutional symport tissue P systems with channel states and cell division.

[BibT_eX]

[DOI]

Kenli Li

Claudio Zandron

Sci. China Inf. Sci., March, 2023

Machine learning on protein-protein interaction prediction: models, challenges and trends.

[BibT_eX]

[DOI]

Briefings Bioinform., March, 2023

Reducing false positive rate of docking-based virtual screening by active learning.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

PointDE: Protein Docking Evaluation Using 3D Point Cloud Neural Network.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph.

[BibT_eX]

[DOI]

Patrick Cheong-lao Pang

CoRR, 2023

DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Totally Dynamic Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Compositional Continual Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Interpretable multi-view attention network for drug-drug interaction prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework.

[BibT_eX]

[DOI]

Nat. Mac. Intell., November, 2022

Monodirectional Evolutional Symport Tissue P Systems With Promoters and Cell Division.

[BibT_eX]

[DOI]

Kenli Li

Ivan Cedric H. Macababayao

IEEE Trans. Parallel Distributed Syst., 2022

3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2022

Normal forms for spiking neural P systems and some of its variants.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Rule synchronization for monodirectional tissue-like P systems with channel states.

[BibT_eX]

[DOI]

Yanyan Li

Inf. Comput., 2022

On the cross-migrativity between uninorms and overlap (grouping) functions.

[BibT_eX]

[DOI]

Kuanyun Zhu

Junsheng Qiao

Fuzzy Sets Syst., 2022

Molecule optimization via multi-objective evolutionary in implicit chemical space.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-View Substructure Learning for Drug-Drug Interaction Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Deep learning for drug repurposing: methods, databases, and applications.

[BibT_eX]

[DOI]

CoRR, 2022

MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Learning spatial structures of proteins improves protein-protein interaction prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

A weighted bilinear neural collaborative filtering approach for drug repositioning.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Are dropout imputation methods for scRNA-seq effective for scATAC-seq data?

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Deep learning in retrosynthesis planning: datasets, models and tools.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

A heterogeneous graph cross-omics attention model for single-cell representation learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation.

[BibT_eX]

[DOI]

Briefings Bioinform., July, 2021

Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

A Polar-Metric-Based Evolutionary Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Monodirectional Tissue P Systems With Promoters.

[BibT_eX]

[DOI]

Min Jiang

IEEE Trans. Cybern., 2021

HeTDR: Drug repositioning based on heterogeneous networks and text mining.

[BibT_eX]

[DOI]

Patterns, 2021

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2021

Solving a PSPACE-complete problem by symport/antiport P systems with promoters and membrane division.

[BibT_eX]

[DOI]

J. Membr. Comput., 2021

Homogeneous spiking neural P systems with structural plasticity.

[BibT_eX]

[DOI]

Ivan Cedric H. Macababayao

J. Membr. Comput., 2021

Monodirectional tissue P systems with channel states.

[BibT_eX]

[DOI]

Inf. Sci., 2021

A Framework for Evolving Spiking Neural P Systems.

[BibT_eX]

[DOI]

Lovely Joy P. Casauay

Ivan Cedric H. Macababayao

Miguel Ángel Martínez-del-Amor

Int. J. Unconv. Comput., 2021

The computational power of monodirectional tissue P systems with symport rules.

[BibT_eX]

[DOI]

Shengye Huang

Inf. Comput., 2021

Neural-like P systems with plasmids.

[BibT_eX]

[DOI]

Niall Murphy

Inf. Comput., 2021

Heterogeneous network-based drug repurposing for COVID-19.

[BibT_eX]

[DOI]

CoRR, 2021

Large-Scale Approximate k-NN Graph Construction on GPU.

[BibT_eX]

[DOI]

Hui Wang

Wan-Lei Zhao

CoRR, 2021

CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers.

[BibT_eX]

[DOI]

Bioinform., 2021

MUFFIN: multi-scale feature fusion for drug-drug interaction prediction.

[BibT_eX]

[DOI]

Bioinform., 2021

iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor.

[BibT_eX]

[DOI]

Bioinform., 2021

A novel antibacterial peptide recognition algorithm based on BERT.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Predicting enhancer-promoter interactions by deep learning and matching heuristic.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

De novo generation of dual-target ligands using adversarial training and reinforcement learning.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

A spatial-temporal gated attention module for molecular property prediction based on molecular geometry.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Application of deep learning methods in biological networks.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Drug repositioning based on the heterogeneous information fusion graph convolutional network.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2021

Fast k-NN Graph Construction by GPU based NN-Descent.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Pm6 A: an Integrated Classification Algorithm for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Identifying m6 A Sites.

[BibT_eX]

[DOI]

Yun Zuo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

On the Computational Power of Asynchronous Axon Membrane Systems.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2020

A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

A Consensus Community-Based Particle Swarm Optimization for Dynamic Community Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2020

Deep Collaborative Filtering for Prediction of Disease Genes.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

The computational power of cell-like P systems with one protein on membrane.

[BibT_eX]

[DOI]

Xiaoyan Luo

Luis Valencia-Cabrera

J. Membr. Comput., 2020

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest.

[BibT_eX]

[DOI]

Bioinform., 2020

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.

[BibT_eX]

[DOI]

Bioinform., 2020

StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency.

[BibT_eX]

[DOI]

Bioinform., 2020

Sequence clustering in bioinformatics: an empirical study.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

Computational methods for identifying the critical nodes in biological networks.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

A novel molecular representation with BiGRU neural networks for learning atom.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A drug information embedding method based on graph convolution neural network.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

A multi-task learning method for analyzing microbiota as cancer immunotherapy signal.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

An Evolutionary Algorithm Based on Minkowski Distance for Many-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Meta-Path Methods for Prioritizing Candidate Disease miRNAs.

[BibT_eX]

[DOI]

Xuan Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

Matrix representation and simulation algorithm of spiking neural P systems with structural plasticity.

[BibT_eX]

[DOI]

Zechariah B. Jimenez

Kelvin C. Buño

Nestine Hope S. Hernandez

J. Membr. Comput., 2019

On solutions and representations of spiking neural P systems with rules on synapses.

[BibT_eX]

[DOI]

Dionne Peter P. Cailipan

Defu Zhang

Inf. Sci., 2019

deepDR: a network-based deep learning approach to in silico drug repositioning.

[BibT_eX]

[DOI]

Bioinform., 2019

Drug Target Interaction Prediction using Multi-task Learning and Co-attention.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Deep Neural Network for Antimicrobial Peptide Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Spiking Neural P Systems With Colored Spikes.

[BibT_eX]

[DOI]

Pan Zheng

IEEE Trans. Cogn. Dev. Syst., 2018

Prediction of potential disease-associated microRNAs using structural perturbation method.

[BibT_eX]

[DOI]

Bioinform., 2018

Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets.

[BibT_eX]

[DOI]

IEEE Access, 2018

An Implementation of Elementary Arithmetic with Virus Machine.

[BibT_eX]

[DOI]

Xiaoshan Yan

Proceedings of the Enjoying Natural Computing, 2018

Small Spiking Neural P Systems with Structural Plasticity.

[BibT_eX]

[DOI]

Proceedings of the Enjoying Natural Computing, 2018

Drug Target Interaction Prediction with Non-random Missing Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

LncRNA-disease association prediction based on neighborhood information aggregation in neural network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Prediction and Validation of Disease Genes Using HeteSim Scores.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

A comprehensive overview and evaluation of circular RNA detection tools.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2017

Theory and Application of Bio-inspired Intelligence and Methods.

[BibT_eX]

[DOI]

Alfonso Rodríguez-Patón Aradas

J. Univers. Comput. Sci., 2017

Reconstructing evolutionary trees in parallel for massive sequences.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2017

Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Iteratively collective prediction of disease-gene associations through the incomplete network.

[BibT_eX]

[DOI]

Xiangyi Meng

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Computing with viruses.

[BibT_eX]

[DOI]

Xu Chen

Luis Valencia-Cabrera

Beizhan Wang

Theor. Comput. Sci., 2016

Embedded Based Miniaturized Universal Electrochemical Sensing Platform.

[BibT_eX]

[DOI]

J. Sensors, 2016

Investment behavior prediction in heterogeneous information network.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2016

Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks.

[BibT_eX]

[DOI]

Xuan Zhang

Briefings Bioinform., 2016

HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop.

[BibT_eX]

[DOI]

Shixiang Wan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Latent factor model with heterogeneous similarity regularization for predicting gene-disease associations.

[BibT_eX]

[DOI]

Ningxiang Ding

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Asynchronous Spiking Neural P Systems with Anti-Spikes.

[BibT_eX]

[DOI]

Neural Process. Lett., 2015

Asynchronous spiking neural P systems with rules on synapses.

[BibT_eX]

[DOI]

Neurocomputing, 2015

The power of time-free tissue P systems: Attacking NP-complete problems.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Identification of cytokine via an improved genetic algorithm.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2015

A decision-making framework for precision marketing.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

A Stable Matching-Based Selection and Memory Enhanced MOEA/D for Evolutionary Dynamic Multiobjective Optimization.

[BibT_eX]

[DOI]

Xiaofeng Chen

Defu Zhang

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Short-term optimal hydrothermal scheduling problem considering power flow constraint.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

MOEA/D for Energy-Aware Scheduling on Heterogeneous Computing Systems.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014

On Some Classes of Sequential Spiking Neural P Systems.

[BibT_eX]

[DOI]

Neural Comput., 2014

Spiking Neural P Systems with Thresholds.

[BibT_eX]

[DOI]

Neural Comput., 2014

Decision Tree Classification Model for Popularity Forecast of Chinese Colleges.

[BibT_eX]

[DOI]

J. Appl. Math., 2014

Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems.

[BibT_eX]

[DOI]

J. Appl. Math., 2014

On languages generated by spiking neural P systems with weights.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Weighted Spiking Neural P Systems with Rules on Synapses.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2014

A hybrid heuristic algorithm for the 2D variable-sized bin packing problem.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2014

Small universal simple spiking neural P systems with weights.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2014

nDNA-prot: identification of DNA-binding proteins based on unbalanced classification.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

A New Graphical Representation of Protein Sequences Based on Dual-Vector Model.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

Time-Free Tissue P Systems for Solving the Hamilton Path Problem.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2013

A Polynomial-Time Solution to Constraint Satisfaction Problems by Neural-like P Systems.

[BibT_eX]

[DOI]

Lei Xu

Peter Jeavons

Int. J. Unconv. Comput., 2013

Spiking neural P systems with anti-spikes and without annihilating priority working in a 'flip-flop' way.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Math., 2013

A Bayesian Investment Model for Online P2P Lending.

[BibT_eX]

[DOI]

Proceedings of the Frontiers in Internet Technologies, 2013

Stock Price Forecast Using Tree Augmented Naïve (TAN) Bayes.

[BibT_eX]

[DOI]

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2012

Spiking Neural P Systems with Weighted Synapses.

[BibT_eX]

[DOI]

Neural Process. Lett., 2012

A uniform solution to the independent set problem through tissue P systems with cell separation.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2012

2011

Time-Free Spiking Neural P Systems.

[BibT_eX]

[DOI]

Neural Comput., 2011

A Novel Membrane Algorithm Based on Differential Evolution for Numerical Optimization.

[BibT_eX]

[DOI]

Jixiang Cheng

Gexiang Zhang

Int. J. Unconv. Comput., 2011

Spiking Neural P Systems for Arithmetic Operations.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

P Systems with 2D Picture Grammars.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

A Modified Estimation of Distribution Algorithm for Numeric Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2010

A weakly universal spiking neural P system.

[BibT_eX]

[DOI]

Chun Lu

Math. Comput. Model., 2010

Matrix Representation of Spiking Neural P Systems.

[BibT_eX]

[DOI]

Miguel A. Martínez-del-Amor

Proceedings of the Membrane Computing, 2010

Small universal asynchronous spiking neural P systems.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

On languages generated by asynchronous spiking neural P systems.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2009

Homogeneous Spiking Neural P Systems.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2009

A Note on Small Universal Spiking Neural P Systems.

[BibT_eX]

[DOI]

Proceedings of the Membrane Computing, 10th International Workshop, 2009

2008

On string languages generated by spiking neural P systems with exhaustive use of rules.

[BibT_eX]

[DOI]

Nat. Comput., 2008

Smaller Universal Spiking Neural P Systems.

[BibT_eX]

[DOI]