Bing Xue
Orcid: 0000-0002-4865-8026Affiliations:
- Victoria University of Wellington, New Zealand
According to our database1,
Bing Xue
authored at least 404 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A geometric semantic macro-crossover operator for evolutionary feature construction in regression.
Genet. Program. Evolvable Mach., June, 2024
IEEE Trans. Evol. Comput., April, 2024
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification.
IEEE Trans. Evol. Comput., April, 2024
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection.
IEEE Trans. Evol. Comput., February, 2024
Genetic Programming for Document Classification: A Transductive Transfer Learning System.
IEEE Trans. Cybern., February, 2024
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues.
ACM Comput. Surv., February, 2024
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection.
IEEE Comput. Intell. Mag., February, 2024
A genetic programming-based method for image classification with small training data.
Knowl. Based Syst., January, 2024
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing.
IEEE Trans. Geosci. Remote. Sens., 2024
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression.
Proceedings of the Genetic Programming - 27th European Conference, 2024
2023
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach.
IEEE Trans. Cybern., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios.
Knowl. Based Syst., November, 2023
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained].
IEEE Comput. Intell. Mag., November, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification.
IEEE Trans. Evol. Comput., October, 2023
Differential Evolution With Duplication Analysis for Feature Selection in Classification.
IEEE Trans. Cybern., October, 2023
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes.
Inf. Sci., September, 2023
Pattern Recognit., August, 2023
Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification.
IEEE Trans. Cybern., May, 2023
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming.
IEEE Trans. Cybern., May, 2023
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution.
Inf. Sci., May, 2023
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach.
IEEE Trans. Evol. Comput., April, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends.
IEEE Trans. Evol. Comput., February, 2023
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput., 2023
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse.
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Evol. Comput., 2023
IEEE Trans. Cybern., 2023
IEEE Trans. Cybern., 2023
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification.
IEEE Trans. Cybern., 2023
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press].
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Proceedings of the Genetic Programming - 26th European Conference, 2023
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2023
2022
World Wide Web, 2022
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization.
IEEE Trans. Evol. Comput., 2022
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2022
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
IEEE Trans. Evol. Comput., 2022
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification.
IEEE Trans. Cybern., 2022
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification.
IEEE Trans. Cybern., 2022
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures.
IEEE Trans. Artif. Intell., 2022
Remote. Sens., 2022
Remote. Sens., 2022
Knowl. Based Syst., 2022
Using a small number of training instances in genetic programming for face image classification.
Inf. Sci., 2022
Expert Syst. Appl., 2022
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput., 2022
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks.
CoRR, 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations.
CoRR, 2022
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Learning CNN architecture for multi-view text classification using genetic algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Image and Vision Computing - 37th International Conference, 2022
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
A comparison of rule compaction algorithms for michigan style learning classifier systems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Particle swarm optimisation for sparsity-based feature selection in multi-label classification.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression.
Proceedings of the Genetic Programming - 25th European Conference, 2022
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization.
ACM Trans. Evol. Learn. Optim., 2021
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection.
IEEE Trans. Evol. Comput., 2021
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks.
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Evol. Comput., 2021
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression.
IEEE Trans. Evol. Comput., 2021
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification.
IEEE Trans. Evol. Comput., 2021
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification.
IEEE Trans. Evol. Comput., 2021
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data.
IEEE Trans. Evol. Comput., 2021
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis.
IEEE Trans. Cybern., 2021
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation.
IEEE Trans. Cybern., 2021
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation.
IEEE Trans. Cybern., 2021
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization.
IEEE Trans. Cybern., 2021
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification.
IEEE Trans. Cybern., 2021
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Soft Comput., 2021
Knowl. Based Syst., 2021
An automatic feature construction method for salient object detection: A genetic programming approach.
Expert Syst. Appl., 2021
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances.
Evol. Comput., 2021
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes].
IEEE Comput. Intell. Mag., 2021
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2021
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput., 2021
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies.
Appl. Soft Comput., 2021
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector.
Proceedings of the 2021 International Conference on Data Mining, 2021
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification.
Proceedings of the 2021 International Conference on Data Mining, 2021
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Genetic programming with a new representation and a new mutation operator for image classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Sparsity-based evolutionary multi-objective feature selection for multi-label classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Evol. Comput., 2020
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput., 2020
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms.
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Evol. Comput., 2020
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
IEEE Trans. Cybern., 2020
Swarm Evol. Comput., 2020
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput., 2020
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst., 2020
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection.
Inf. Sci., 2020
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence.
Genet. Program. Evolvable Mach., 2020
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genet. Program. Evolvable Mach., 2020
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evol. Comput., 2020
CoRR, 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification.
CoRR, 2020
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.
CoRR, 2020
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2020
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.
Appl. Soft Comput., 2020
Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Adaptive weighted splines: a new representation to genetic programming for symbolic regression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Automatically extracting features for face classification using multi-objective genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A genetic programming approach to feature construction for ensemble learning in skin cancer detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020
2019
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification.
ACM Trans. Knowl. Discov. Data, 2019
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2019
IEEE Trans. Evol. Comput., 2019
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression.
IEEE Trans. Evol. Comput., 2019
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators.
IEEE Trans. Evol. Comput., 2019
Soft Comput., 2019
Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognit., 2019
Evol. Comput., 2019
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification.
CoRR, 2019
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Evolving deep neural networks by multi-objective particle swarm optimization for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
An automated ensemble learning framework using genetic programming for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Differential evolution for instance based transfer learning in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2019
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection.
Proceedings of the Applications of Evolutionary Computation, 2019
Proceedings of the Genetic Programming - 22nd European Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
IEEE Trans. Cybern., 2018
PSO with surrogate models for feature selection: static and dynamic clustering-based methods.
Memetic Comput., 2018
Knowl. Based Syst., 2018
Differential evolution for filter feature selection based on information theory and feature ranking.
Knowl. Based Syst., 2018
Inf. Sci., 2018
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.
CoRR, 2018
IEEE Comput. Intell. Mag., 2018
Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput., 2018
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
A particle swarm optimization based feature selection approach to transfer learning in classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Automatically evolving difficult benchmark feature selection datasets with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Applications of Evolutionary Computation, 2018
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation, 2018
Proceedings of the Genetic Programming - 21st European Conference, 2018
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Trans. Evol. Comput., 2017
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
IEEE Trans. Evol. Comput., 2017
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Trans. Evol. Comput., 2017
Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms - Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3.
Genet. Program. Evolvable Mach., 2017
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.
CoRR, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A differential evolution based feature selection approach using an improved filter criterion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A supervised feature weighting method for salient object detection using particle swarm optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
New Representations in Genetic Programming for Feature Construction in k-Means Clustering.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
An automatic region detection and processing approach in genetic programming for binary image classification.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Genetic programming based feature construction for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Improving <i>k</i>-means clustering with genetic programming for feature construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Evolving texture image descriptors using a multitree genetic programming representation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Proceedings of the Genetic Programming - 20th European Conference, 2017
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Genetic programming for solving common and domain-independent generic recursive problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Common subtrees in related problems: A novel transfer learning approach for genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
2016
IEEE Trans. Evol. Comput., 2016
Guest editorial: special issue on evolutionary optimization, feature reduction and learning.
Soft Comput., 2016
New mechanism for archive maintenance in PSO-based multi-objective feature selection.
Soft Comput., 2016
Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Comput., 2016
Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell., 2016
Evol. Intell., 2016
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci., 2016
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Particle swarm optimisation representations for simultaneous clustering and feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Evolutionary computation for feature manipulation: Key challenges and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Further investigation on genetic programming with transfer learning for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Improving classification on images by extracting and transferring knowledge in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
2015
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.
Int. J. Comput. Intell. Appl., 2015
Appl. Soft Comput., 2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Generalisation and domain adaptation in GP with gradient descent for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
2014
PhD thesis, 2014
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl., 2014
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.
Appl. Soft Comput., 2014
Multi-objective Feature Selection in Classification: A Differential Evolution Approach.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Multiple feature construction for effective biomarker identification and classification using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
An archive based particle swarm optimisation for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Filter based backward elimination in wrapper based PSO for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.
IEEE Trans. Cybern., 2013
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Neurocomputing, 2012
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci., 2012
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012
2010
Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
2005
Application and discussion in small scale of china in research of ecological footprint - take the EF of Lanzhou university(graduate school) in 2003 as an example.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
A research on the evolution of ecological environment and resources exploitation in Xinjiang.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005