Jing Liu

Orcid: 0000-0002-6834-5350

Affiliations:
  • Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
  • University of New South Wales, Australian Defence Force Academy, Australia (2009 - 2011)
  • University of Queensland, St. Lucia, Qld, Australia (2007 - 2008)
  • Xidian University, Xi'an, China (PhD 2004)


According to our database1, Jing Liu authored at least 202 papers between 2004 and 2024.

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Bibliography

2024
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes.
IEEE Trans. Evol. Comput., February, 2024

Toward Video Anomaly Retrieval From Video Anomaly Detection: New Benchmarks and Model.
IEEE Trans. Image Process., 2024

2023
A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.
IEEE Trans. Cybern., April, 2023

A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks.
IEEE Comput. Intell. Mag., February, 2023

Weakly Supervised Audio-Visual Violence Detection.
IEEE Trans. Multim., 2023

Self-paced ARIMA for robust time series prediction.
Knowl. Based Syst., 2023

Cost-effective competition on social networks: A multi-objective optimization perspective.
Inf. Sci., 2023

B2Opt: Learning to Optimize Black-box Optimization with Little Budget.
CoRR, 2023

Discover governing differential equations from evolving systems.
CoRR, 2023

Closed-form Machine Unlearning for Matrix Factorization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection.
IEEE Trans. Evol. Comput., 2022

Evolutionary Multitasking Multilayer Network Reconstruction.
IEEE Trans. Cybern., 2022

Online Reconstruction of Complex Networks From Streaming Data.
IEEE Trans. Cybern., 2022

Single-particle optimization for network embedding preserving both local and global information.
Swarm Evol. Comput., 2022

Multi-objective economic emission dispatch of thermal power-electric vehicles considering user's revenue.
Soft Comput., 2022

Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images.
Pattern Recognit., 2022

Radial basis network simulation for noisy multiobjective optimization considering evolution control.
Inf. Sci., 2022

Augmentative contrastive learning for one-shot object detection.
Neurocomputing, 2022

Learning large-scale fuzzy cognitive maps under limited resources.
Eng. Appl. Artif. Intell., 2022

Evolutionary Multitasking AUC Optimization.
CoRR, 2022

What Knowledge can be Transferred Between Network Reconstruction and Community Detection?
CoRR, 2022

Evolutionary Multitasking AUC Optimization [Research Frontier].
IEEE Comput. Intell. Mag., 2022

Broad fuzzy cognitive map systems for time series classification.
Appl. Soft Comput., 2022

Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps.
Appl. Soft Comput., 2022

A decomposition-based memetic neural architecture search algorithm for univariate time series forecasting.
Appl. Soft Comput., 2022

Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2022

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection.
IEEE Trans. Image Process., 2021

A Multitask Learning-Based Neural Network for Defect Detection on Textured Surfaces Under Weak Supervision.
IEEE Trans. Instrum. Meas., 2021

Online Fuzzy Cognitive Map Learning.
IEEE Trans. Fuzzy Syst., 2021

Multivariate Time Series Forecasting Based on Elastic Net and High-Order Fuzzy Cognitive Maps: A Case Study on Human Action Prediction Through EEG Signals.
IEEE Trans. Fuzzy Syst., 2021

A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization.
IEEE Trans. Evol. Comput., 2021

A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic.
IEEE Trans. Evol. Comput., 2021

An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure.
IEEE Trans. Evol. Comput., 2021

Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm.
IEEE Trans. Cybern., 2021

Overlapping Community Detection in Directed and Undirected Attributed Networks Using a Multiobjective Evolutionary Algorithm.
IEEE Trans. Cybern., 2021

A hybrid particle swarm optimization algorithm for RFID network planning.
Soft Comput., 2021

Evolutionary multitasking network reconstruction from time series with online parameter estimation.
Knowl. Based Syst., 2021

A synchronous feature learning method for multiplex network embedding.
Inf. Sci., 2021

Mathematical model and simulated annealing algorithm for Chinese high school timetabling problems under the new curriculum innovation.
Frontiers Comput. Sci., 2021

A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective Optimization.
Evol. Comput., 2021

Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.
Appl. Soft Comput., 2021

A multi-objective differential evolution algorithm and a constraint handling mechanism based on variables proportion for dynamic economic emission dispatch problems.
Appl. Soft Comput., 2021

Emergency Logistics Scheduling Under Uncertain Transportation Time Using Online Optimization Methods.
IEEE Access, 2021

Bidirectional Retrospective Generation Adversarial Network for Anomaly Detection in Videos.
IEEE Access, 2021

HANet: Hierarchical Alignment Networks for Video-Text Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pareto Optimization for Influence Maximization in Social Networks.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2020

A Preference-Based Evolutionary Biobjective Approach for Learning Large-Scale Fuzzy Cognitive Maps: An Application to Gene Regulatory Network Reconstruction.
IEEE Trans. Fuzzy Syst., 2020

Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding.
IEEE Trans. Evol. Comput., 2020

Evolutionary Network Embedding Preserving Both Local Proximity and Community Structure.
IEEE Trans. Evol. Comput., 2020

A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems.
Swarm Evol. Comput., 2020

Learning fuzzy cognitive maps with convergence using a multi-agent genetic algorithm.
Soft Comput., 2020

A diversity introduction strategy based on change intensity for evolutionary dynamic multiobjective optimization.
Soft Comput., 2020

Reconstructing gene regulatory networks via memetic algorithm and LASSO based on recurrent neural networks.
Soft Comput., 2020

Fast sparse coding networks for anomaly detection in videos.
Pattern Recognit., 2020

Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps.
Knowl. Based Syst., 2020

Evolutionary multitasking fuzzy cognitive map learning.
Knowl. Based Syst., 2020

CNN-FCM: System modeling promotes stability of deep learning in time series prediction.
Knowl. Based Syst., 2020

A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps.
Knowl. Based Syst., 2020

Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets.
CoRR, 2020

Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm.
IEEE Comput. Intell. Mag., 2020

A clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems.
Appl. Soft Comput., 2020

Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Path Planning of UAVs Under Dynamic Environment based on a Hierarchical Recursive Multiagent Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Atrributed Graph Embedding Based on Multiobjective Evolutionary Algorithm for Overlapping Community Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Decomposition-based Multi-objective Self-adaptive Differential Evolution Algorithm for RFID Network Planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Two-phase Evolutionary Algorithm for Solving the Accuracy-diversity Dilemma in Recommendation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Constructing Robust Community Structure Against Edge-Based Attacks.
IEEE Syst. J., 2019

A Stable, Unified Density Controlled Memetic Algorithm for Gene Regulatory Network Reconstruction Based on Sparse Fuzzy Cognitive Maps.
Neural Process. Lett., 2019

Reconstructing gene regulatory networks with a memetic-neural hybrid based on fuzzy cognitive maps.
Nat. Comput., 2019

Network reconstruction based on time series via memetic algorithm.
Knowl. Based Syst., 2019

A sparse and decomposed particle swarm optimization for inferring gene regulatory networks based on fuzzy cognitive maps.
J. Bioinform. Comput. Biol., 2019

Designing comprehensively robust networks against intentional attacks and cascading failures.
Inf. Sci., 2019

A moving block sequence-based evolutionary algorithm for resource-constrained project scheduling problems.
Int. J. Bio Inspired Comput., 2019

Ensemble multi-objective evolutionary algorithm for gene regulatory network reconstruction based on fuzzy cognitive maps.
CAAI Trans. Intell. Technol., 2019

Learning of fuzzy cognitive maps using a niching-based multi-modal multi-agent genetic algorithm.
Appl. Soft Comput., 2019

Community robustness and its enhancement in interdependent networks.
Appl. Soft Comput., 2019

Efficient Fault-Tolerant Syndrome Measurement of Quantum Error-Correcting Codes Based on "Flag".
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Classification-based Optimization with Multi-Fidelity Evaluations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Sparse Fireworks Algorithm for Gene Regulatory Network Reconstruction based on Fuzzy Cognitive Maps.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Extracting Information Cores with Multi-property Using a Multiobjective Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Using Multi-objective Particle Swarm Optimization to Solve Dynamic Economic Emission Dispatch Considering Wind Power and Electric Vehicles.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
A Multi-Objective Evolutionary Algorithm for Promoting the Emergence of Cooperation and Controllable Robustness on Directed Networks.
IEEE Trans. Netw. Sci. Eng., 2018

A Mutual Information-Based Two-Phase Memetic Algorithm for Large-Scale Fuzzy Cognitive Map Learning.
IEEE Trans. Fuzzy Syst., 2018

Time-Series Forecasting Based on High-Order Fuzzy Cognitive Maps and Wavelet Transform.
IEEE Trans. Fuzzy Syst., 2018

A Multiobjective Evolutionary Algorithm Based on Structural and Attribute Similarities for Community Detection in Attributed Networks.
IEEE Trans. Cybern., 2018

A comparative study of the measures for evaluating community structure in bipartite networks.
Inf. Sci., 2018

Inferring gene regulatory networks with hybrid of multi-agent genetic algorithm and random forests based on fuzzy cognitive maps.
Appl. Soft Comput., 2018

Influence Maximization-Cost Minimization in Social Networks Based on a Multiobjective Discrete Particle Swarm Optimization Algorithm.
IEEE Access, 2018

Double δ-LBP: A Novel Feature Extraction Method for Facial Expression Recognition.
Proceedings of the Image and Graphics Technologies and Applications, 2018

Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Learning Large-Scale Fuzzy Cognitive Maps Based on Compressed Sensing and Application in Reconstructing Gene Regulatory Networks.
IEEE Trans. Fuzzy Syst., 2017

A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing.
IEEE Trans. Evol. Comput., 2017

A Two-Phase Multiobjective Evolutionary Algorithm for Enhancing the Robustness of Scale-Free Networks Against Multiple Malicious Attacks.
IEEE Trans. Cybern., 2017

A multi-agent evolutionary algorithm for software module clustering problems.
Soft Comput., 2017

A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problems.
Soft Comput., 2017

Wavelet fuzzy cognitive maps.
Neurocomputing, 2017

A comparative study of network robustness measures.
Frontiers Comput. Sci., 2017

An efficient and fast kinematics-based algorithm for RFID network planning.
Comput. Networks, 2017

Prior knowledge guided active modules identification: an integrated multi-objective approach.
BMC Syst. Biol., 2017

A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps.
BMC Bioinform., 2017

Multi-leader PSO (MLPSO): A new PSO variant for solving global optimization problems.
Appl. Soft Comput., 2017

Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-Making Trial and Evaluation.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Evolutionary Game Network Reconstruction by Memetic Algorithm with l 1/2 Regularization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Memetic Algorithm for Community Detection in Bipartite Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Emergency Materials Scheduling in Disaster Relief Based on a Memetic Algorithm.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A multi-agent genetic algorithm for multi-period emergency resource scheduling problems in uncertain traffic network.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Enhancing the robustness of complex networks against edge-based-attack cascading failures.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A multi-agent genetic algorithm for improving the robustness of communities in complex networks against attacks.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A multi-objective evolutionary algorithm for emergency logistics scheduling in large-scale disaster relief.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A differential evolution algorithm for the resource investment problem with discounted cash flows.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

An improved global replacement strategy for MOEA/D on many-objective kanpsack problems.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
A Dynamic Multiagent Genetic Algorithm for Gene Regulatory Network Reconstruction Based on Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2016

Learning of Fuzzy Cognitive Maps With Varying Densities Using A Multiobjective Evolutionary Algorithm.
IEEE Trans. Fuzzy Syst., 2016

Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery.
IEEE Trans. Evol. Comput., 2016

An improved multi-objective evolutionary algorithm for simultaneously detecting separated and overlapping communities.
Nat. Comput., 2016

A multi-objective memetic algorithm based on decomposition for big optimization problems.
Memetic Comput., 2016

Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series.
Knowl. Based Syst., 2016

A similarity-based modularization quality measure for software module clustering problems.
Inf. Sci., 2016

Single event upset rate modeling for ultra-deep submicron complementary metal-oxide-semiconductor devices.
Sci. China Inf. Sci., 2016

A multi-agent genetic algorithm based on natural coding for emergency resources scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A study of fitness functions for reconstructing networks using node degrees.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A multi-agent genetic algorithm for local community detection by extending the tightest nodes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A new MBS representation for resource-constrained project scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Emergency logistics scheduling in disaster relief based on a multi-agent genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A multi-agent genetic algorithm for big optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A multi-agent genetic algorithm with variable neighborhood search for resource investment project scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A differential evolution algorithm with local search for resource investment project scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Reducing complexity in many objective optimization using community detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A differential evolution algorithm for resource investment problem with tardiness.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A Knowledge-Based Evolutionary Multiobjective Approach for Stochastic Extended Resource Investment Project Scheduling Problems.
IEEE Trans. Evol. Comput., 2014

A Multiobjective Evolutionary Algorithm Based on Similarity for Community Detection From Signed Social Networks.
IEEE Trans. Cybern., 2014

A comparative analysis of evolutionary and memetic algorithms for community detection from signed social networks.
Soft Comput., 2014

A point symmetry-based clonal selection clustering algorithm and its application in image compression.
Pattern Anal. Appl., 2014

An Organizational Cooperative Coevolutionary Algorithm for Multimode Resource-Constrained Project Scheduling Problems.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Fuzzy C-means clustering with weighted energy function in MRF for image segmentation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Learning large-scale fuzzy cognitive maps using a hybrid of memetic algorithm and neural network.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream.
Peer-to-Peer Netw. Appl., 2013

A preference multi-objective optimization based on adaptive rank clone and differential evolution.
Nat. Comput., 2013

A decision support model for multi-attribute group decision making using a multi-objective optimization approach.
Int. J. Comput. Intell. Syst., 2013

Evolutionary dynamics of continuous strategy games on graphs and social networks under weak selection.
Biosyst., 2013

A Direction based Multi-Objective Agent Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A multi-agent genetic algorithm for resource constrained project scheduling problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Kernel Sparse Representation-Based Classifier.
IEEE Trans. Signal Process., 2012

A two-stage preference-based evolutionary multi-objective approach for capability planning problems.
Knowl. Based Syst., 2012

Parallel linear genetic programming for multi-class classification.
Genet. Program. Evolvable Mach., 2012

Motif Difficulty (MD): A Predictive Measure of Problem Difficulty for Evolutionary Algorithms Using Network Motifs.
Evol. Comput., 2012

Constrained Layout Optimization in Satellite Cabin Using a Multiagent Genetic Algorithm.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Image segmentation based on a hybrid Immune Memetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Continuous game dynamics on populations with a cycle structure under weak selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
DMEA: a direction-based multiobjective evolutionary algorithm.
Memetic Comput., 2011

TMS-RFID: Temporal management of large-scale RFID applications.
Inf. Syst. Frontiers, 2011

Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm.
Int. J. Swarm Intell. Res., 2011

Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures.
Artif. Life, 2011

Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

An evolutionary multi-objective scenario-based approach for Stochastic Resource Investment Project Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Image texture classification using a multiagent genetic clustering algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A Multiagent Evolutionary Algorithm for Combinatorial Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2010

An immune memory clonal algorithm for numerical and combinatorial optimization.
Frontiers Comput. Sci. China, 2010

A Population Diversity-Oriented Gene Expression Programming for Function Finding.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Separated and overlapping community detection in complex networks using multiobjective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Ambiguous decision trees for mining concept-drifting data streams.
Pattern Recognit. Lett., 2009

Exploiting unlabeled data to improve peer-to-peer traffic classification using incremental tri-training method.
Peer-to-Peer Netw. Appl., 2009

Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2009

Macro-Agent Evolutionary Model for decomposable function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

OEA_SAT: An Organizational Evolutionary Algorithm for solving SATisfiability problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Ranking-Constrained Keyword Sequence Extraction from Web Documents.
Proceedings of the Database Technologies 2009, 2009

2008
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning With Arbitrarily Shaped Rectilinear Blocks.
IEEE Trans. Evol. Comput., 2008

Multiagent Evolutionary Algorithm for T-coloring Problem.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Peer-to-Peer Traffic Identification by Mining IP Layer Data Streams Using Concept-Adapting Very Fast Decision Tree.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007
An Organizational Evolutionary Algorithm for Numerical Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Multiagent evolutionary algorithm for floorplanning using moving block sequence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Solving SAT problem with a multiagent evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
A multiagent evolutionary algorithm for constraint satisfaction problems.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Comments on "The 1993 DIMACS graph coloring Challenge" and "Energy function-based approaches to graph Coloring".
IEEE Trans. Neural Networks, 2006

An organizational coevolutionary algorithm for classification.
IEEE Trans. Evol. Comput., 2006

Constrained Optimization Using Organizational Evolutionary Algorithm.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Permutation Flow-Shop Scheduling Based on Multiagent Evolutionary Algorithm.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Job-Shop Scheduling Based on Multiagent Evolutionary Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Evolutionary Agents for n-Queen Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

An Agent Model for Binary Constraint Satisfaction Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2005

Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
A multiagent genetic algorithm for global numerical optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Multiobjective Optimization Based on Coevolutionary Algorithm.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

A New Data Mining Method Using Organizational Coevolutionary Mechanism.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

A Novel Genetic Algorithm Based on Multi-Agent Systems.
Proceedings of the Intelligent Information Processing and Web Mining, 2004


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