Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China. - Qing-guang Liu; Xing-peng Chen; Hong Miao; Li-min Gao; Bing Xue 001 (IGARSS, 2005)

A study on the landscape structure and change of the valley-city: case of Lanzhou. - Bing Xue 001; Xing-peng Chen; Yan Huang; Yong-jin Li; Yong Liu (IGARSS, 2005)

A research on the evolution of ecological environment and resources exploitation in Xinjiang. - Bing Xue 001; Xing-peng Chen; Xing-li Yu; Hong Miao; Xue-sen Tuo (IGARSS, 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. - Xing-li Yu; Xing-peng Chen; Bing Xue 001 (IGARSS, 2005)

A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function. - Li Li 004; Bing Xue 001; Ben Niu 002; Lijing Tan; Jixian Wang (ICIC (2), 2009)

Symbiotic Multi-swarm PSO for Portfolio Optimization. - Ben Niu 002; Bing Xue 001; Li Li 004; Yujuan Chai (ICIC (2), 2009)

Constrained portfolio selection using multiple swarms. - Ben Niu 002; Lijing Tan; Bing Xue 001; Li Li 004; Yujuan Chai (IEEE Congress on Evolutionary Computation, 2010)

Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection. - Li Li 004; Bing Xue 001; Lijing Tan; Ben Niu 002 (ICIC (1), 2010)

Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (ACSC, 2012)

A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory. - Liam Cervante; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2012)

Binary particle swarm optimisation for feature selection: A filter based approach. - Liam Cervante; Bing Xue 001; Mengjie Zhang 001; Lin Shang 001 (IEEE Congress on Evolutionary Computation, 2012)

New fitness functions in binary particle swarm optimisation for feature selection. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (IEEE Congress on Evolutionary Computation, 2012)

Multi-objective particle swarm optimisation (PSO) for feature selection. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (GECCO, 2012)

A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. - Bing Xue 001; Liam Cervante; Lin Shang 001; Mengjie Zhang 001 (PRICAI, 2012)

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. - Bing Xue 001; Liam Cervante; Lin Shang 001; Will N. Browne; Mengjie Zhang 001 (Connect. Sci., 2012)

Bacterial foraging based approaches to portfolio optimization with liquidity risk. - Ben Niu 002; Yan Fan; Han Xiao 004; Bing Xue 001 (Neurocomputing, 2012)

Particle Swarm Optimisation and Statistical Clustering for Feature Selection. - Mitchell C. Lane; Bing Xue 001; Ivy Liu; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2013)

Binary particle swarm optimisation and rough set theory for dimension reduction in classification. - Liam Cervante; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2013)

Feature selection based on PSO and decision-theoretic rough set model. - Aneta Stevanovic; Bing Xue 001; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2013)

A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory. - Liam Cervante; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (EvoCOP, 2013)

Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (EvoApplications, 2013)

PSO for feature construction and binary classification. - Bing Xue 001; Mengjie Zhang 001; Yan Dai 007; Will N. Browne (GECCO, 2013)

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification. - Bing Xue 001; Liam Cervante; Lin Shang 001; Will N. Browne; Mengjie Zhang 001 (Int. J. Artif. Intell. Tools, 2013)

Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (IEEE Trans. Cybern., 2013)

Filter based backward elimination in wrapper based PSO for feature selection in classification. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

An archive based particle swarm optimisation for feature selection in classification. - Bing Xue 001; A. Kai Qin; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

New Representations in PSO for Feature Construction in Classification. - Yan Dai 007; Bing Xue 001; Mengjie Zhang 001 (EvoApplications, 2014)

Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection. - Mitchell C. Lane; Bing Xue 001; Ivy Liu; Mengjie Zhang 001 (EvoCOP, 2014)

A New Binary Particle Swarm Optimisation Algorithm for Feature Selection. - Bing Xue 001; Su Nguyen; Mengjie Zhang 001 (EvoApplications, 2014)

Multiple feature construction for effective biomarker identification and classification using genetic programming. - Soha Ahmed; Mengjie Zhang 001; Lifeng Peng; Bing Xue 001 (GECCO, 2014)

Differential evolution (DE) for multi-objective feature selection in classification. - Bing Xue 001; Wenlong Fu; Mengjie Zhang 001 (GECCO (Companion), 2014)

Genetic Programming for Measuring Peptide Detectability. - Soha Ahmed; Mengjie Zhang 001; Lifeng Peng; Bing Xue 001 (SEAL, 2014)

PSO and Statistical Clustering for Feature Selection: A New Representation. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Mengjie Zhang 001 (SEAL, 2014)

Improved PSO for Feature Selection on High-Dimensional Datasets. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (SEAL, 2014)

Overview of Particle Swarm Optimisation for Feature Selection in Classification. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (SEAL, 2014)

Multi-objective Feature Selection in Classification: A Differential Evolution Approach. - Bing Xue 001; Wenlong Fu; Mengjie Zhang 001 (SEAL, 2014)

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (Appl. Soft Comput., 2014)

Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach. - Bing Xue 001; Liam Cervante; Lin Shang 001; Will N. Browne; Mengjie Zhang 001 (Int. J. Comput. Intell. Appl., 2014)

Particle Swarm Optimisation for Feature Selection in Classification. - Bing Xue 001 (2014)

Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach. - Tony Butler-Yeoman; Bing Xue 001; Mengjie Zhang 001 (AusDM, 2015)

Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach. - Tony Butler-Yeoman; Bing Xue 001; Mengjie Zhang 001 (CEC, 2015)

Generalisation and domain adaptation in GP with gradient descent for symbolic regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2015)

A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001; Dervis Karaboga; Bahriye Akay (CEC, 2015)

Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation. - Chahine Koleejan; Bing Xue 001; Mengjie Zhang 001 (CEC, 2015)

Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Peter Andreae; Mengjie Zhang 001 (EvoApplications, 2015)

A hybrid Genetic Programming approach to feature detection and image classification. - Andrew Lensen; Harith Al-Sahaf; Mengjie Zhang 001; Bing Xue 001 (IVCNZ, 2015)

A binary ABC algorithm based on advanced similarity scheme for feature selection. - Emrah Hancer; Bing Xue 001; Dervis Karaboga; Mengjie Zhang 001 (Appl. Soft Comput., 2015)

A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne (Int. J. Comput. Intell. Appl., 2015)

A Subset Similarity Guided Method for Multi-objective Feature Selection. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (ACALCI, 2016)

Improving classification on images by extracting and transferring knowledge in genetic programming. - Muhammad Iqbal 001; Mengjie Zhang 001; Bing Xue 001 (CEC, 2016)

Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. - Qi Chen 002; Bing Xue 001; Ben Niu 002; Mengjie Zhang 001 (CEC, 2016)

Further investigation on genetic programming with transfer learning for symbolic regression. - Edward Haslam; Bing Xue 001; Mengjie Zhang 001 (CEC, 2016)

Genetic programming for evolving programs with recursive structures. - Tessa Phillips; Mengjie Zhang 001; Bing Xue 001 (CEC, 2016)

A PSO based hybrid feature selection algorithm for high-dimensional classification. - Binh Tran; Mengjie Zhang 001; Bing Xue 001 (CEC, 2016)

Evolutionary computation for feature manipulation: Key challenges and future directions. - Bing Xue 001; Mengjie Zhang 001 (CEC, 2016)

Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. - Andrew Lensen; Harith Al-Sahaf; Mengjie Zhang 001; Bing Xue 001 (EuroGP, 2016)

A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data. - Soha Ahmed; Mengjie Zhang 001; Lifeng Peng; Bing Xue 001 (EvoApplications (1), 2016)

Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (EvoApplications (1), 2016)

Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (EvoApplications (1), 2016)

A Wrapper Feature Selection Approach to Classification with Missing Data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (EvoApplications (1), 2016)

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. - Qi Chen 002; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO, 2016)

Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference. - Yi Mei 001; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2016)

Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (GECCO (Companion), 2016)

Evolutionary Computation for Feature Selection and Feature Construction. - Mengjie Zhang 001; Bing Xue 001 (GECCO (Companion), 2016)

Proceedings in Adaptation, Learning and Optimization. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (IES, 2016)

Proceedings in Adaptation, Learning and Optimization. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (IES, 2016)

Proceedings in Adaptation, Learning and Optimization. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001; Lam Thu Bui (IES, 2016)

A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages. - Jianbin Ma; Bing Xue 001; Mengjie Zhang 001 (PAISI, 2016)

Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. - Muhammad Iqbal 001; Bing Xue 001; Mengjie Zhang 001 (PAKDD (2), 2016)

A Differential Evolution Approach to Feature Selection and Instance Selection. - Jiaheng Wang 004; Bing Xue 001; Xiaoying Gao; Mengjie Zhang 001 (PRICAI, 2016)

Particle swarm optimisation representations for simultaneous clustering and feature selection. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2016)

Multiple feature construction in classification on high-dimensional data using GP. - Binh Tran; Mengjie Zhang 001; Bing Xue 001 (SSCI, 2016)

Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information. - Bing Xue 001; Mitchell C. Lane; Ivy Liu; Mengjie Zhang 001 (SSCI, 2016)

Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias. - Binh Tran; Bing Xue 001; Mengjie Zhang 001; Su Nguyen (Connect. Sci., 2016)

Mutual information for feature selection: estimation or counting? - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (Evol. Intell., 2016)

Improving performance for classification with incomplete data using wrapper-based feature selection. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (Evol. Intell., 2016)

Genetic programming for feature construction and selection in classification on high-dimensional data. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (Memetic Comput., 2016)

New mechanism for archive maintenance in PSO-based multi-objective feature selection. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Peter Andreae; Mengjie Zhang 001 (Soft Comput., 2016)

Guest editorial: special issue on evolutionary optimization, feature reduction and learning. - Bing Xue 001; Gang Chen 002 (Soft Comput., 2016)

A Survey on Evolutionary Computation Approaches to Feature Selection. - Bing Xue 001; Mengjie Zhang 001; Will N. Browne; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing. - Jiatong Huo; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2017)

Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2017)

Genetic programming for skin cancer detection in dermoscopic images. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (CEC, 2017)

Particle Swarm Optimisation with genetic operators for feature selection. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (CEC, 2017)

Common subtrees in related problems: A novel transfer learning approach for genetic programming. - Damien O'Neill; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (CEC, 2017)

Genetic programming for solving common and domain-independent generic recursive problems. - Tessa Phillips; Mengjie Zhang 001; Bing Xue 001 (CEC, 2017)

Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Yi Mei 001; Mengjie Zhang 001 (EuroGP, 2017)

Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2017)

Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (EvoApplications (1), 2017)

Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (EvoApplications (1), 2017)

Bagging and Feature Selection for Classification with Incomplete Data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (EvoApplications (1), 2017)

Evolving texture image descriptors using a multitree genetic programming representation. - Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO (Companion), 2017)

New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (GECCO (Companion), 2017)

GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2017)

Improving k-means clustering with genetic programming for feature construction. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (GECCO (Companion), 2017)

Multiple reference points MOEA/D for feature selection. - Bach Hoai Nguyen; Bing Xue 001; Hisao Ishibuchi; Peter Andreae; Mengjie Zhang 001 (GECCO (Companion), 2017)

Multiple imputation and genetic programming for classification with incomplete data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (GECCO, 2017)

Genetic programming based feature construction for classification with incomplete data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001 (GECCO, 2017)

PSO-based parameters selection for the bilateral filter in image denoising. - Chengyan Wang; Bing Xue 001; Lin Shang 001 (GECCO, 2017)

An automatic region detection and processing approach in genetic programming for binary image classification. - Ying Bi; Mengjie Zhang 001; Bing Xue 001 (IVCNZ, 2017)

Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (SEAL, 2017)

A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors. - Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (SEAL, 2017)

Transductive Transfer Learning in Genetic Programming for Document Classification. - Wenlong Fu; Bing Xue 001; Mengjie Zhang 001; Xiaoying Gao (SEAL, 2017)

New Representations in Genetic Programming for Feature Construction in k-Means Clustering. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (SEAL, 2017)

Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning. - Yi Liu 090; Bing Xue 001; Will N. Browne (SEAL, 2017)

A Hybrid GA-GP Method for Feature Reduction in Classification. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (SEAL, 2017)

Automatic Feature Construction for Network Intrusion Detection. - Binh Tran; Stjepan Picek; Bing Xue 001 (SEAL, 2017)

A supervised feature weighting method for salient object detection using particle swarm optimization. - Shima Afzali; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (SSCI, 2017)

A differential evolution based feature selection approach using an improved filter criterion. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2017)

A classification method based on self-adaptive artificial bee colony. - Yu Xue 003; Jiongming Jiang; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2017)

Evolving Deep Convolutional Neural Networks for Image Classification. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2017)

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2017)

Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms - Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3. - Bing Xue 001 (Genet. Program. Evolvable Mach., 2017)

Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. - Harith Al-Sahaf; Ausama Al-Sahaf; Bing Xue 001; Mark Johnston; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2017)

Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (IEEE Trans. Evol. Comput., 2017)

Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. - Muhammad Iqbal 001; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2017)

An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. - Yi Mei 001; Su Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. - Shima Afzali; Harith Al-Sahaf; Bing Xue 001; Christopher Hollitt; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. - Ke Chen; Fengyu Zhou; Bing Xue 001 (Australasian Conference on Artificial Intelligence, 2018)

Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches. - Yi Liu 090; Will N. Browne; Bing Xue 001 (Australasian Conference on Artificial Intelligence, 2018)

Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study. - Damien O'Neill; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. - Cao Truong Tran; Mengjie Zhang 001; Bing Xue 001; Peter Andreae (Australasian Conference on Artificial Intelligence, 2018)

A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification. - Samaneh Azari; Mengjie Zhang 001; Bing Xue 001; Lifeng Peng (CEC, 2018)

Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining. - Xiaohan Bai; Xiaoying Gao; Bing Xue 001 (CEC, 2018)

Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. - Ying Bi; Mengjie Zhang 001; Bing Xue 001 (CEC, 2018)

Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. - Benjamin P. Evans; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (CEC, 2018)

Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. - Damien O'Neill; Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2018)

An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (CEC, 2018)

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (CEC, 2018)

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2018)

An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (EvoApplications, 2018)

Adapting Bagging and Boosting to Learning Classifier Systems. - Yi Liu 090; Will N. Browne; Bing Xue 001 (EvoApplications, 2018)

Automatically evolving difficult benchmark feature selection datasets with genetic programming. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2018)

A particle swarm optimization based feature selection approach to transfer learning in classification. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (GECCO, 2018)

Featuring the Attributes in Supervised Machine Learning. - Antonio J. Tallón-Ballesteros; Luís Correia 001; Bing Xue 001 (HAIS, 2018)

Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. - Zeyu Mi; Lin Shang 001; Bing Xue 001 (ICONIP (2), 2018)

Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. - Antonio J. Tallón-Ballesteros; Milan Tuba; Bing Xue 001; Takako Hashimoto (IDEAL (2), 2018)

Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection. - Shima Afzali; Harith Al-Sahaf; Bing Xue 001; Christopher Hollitt; Mengjie Zhang 001 (IVCNZ, 2018)

Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (PRICAI (1), 2018)

Improving performance of classification on incomplete data using feature selection and clustering. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001; Lam Thu Bui (Appl. Soft Comput., 2018)

Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. - Wenlong Fu; Bing Xue 001; Mengjie Zhang 001; Mark Johnston (IEEE Comput. Intell. Mag., 2018)

Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (CoRR, 2018)

Automatically Evolving CNN Architectures Based on Blocks. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2018)

Pareto front feature selection based on artificial bee colony optimization. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001; Dervis Karaboga; Bahriye Akay (Inf. Sci., 2018)

Differential evolution for filter feature selection based on information theory and feature ranking. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2018)

An effective and efficient approach to classification with incomplete data. - Cao Truong Tran; Mengjie Zhang 001; Peter Andreae; Bing Xue 001; Lam Thu Bui (Knowl. Based Syst., 2018)

PSO with surrogate models for feature selection: static and dynamic clustering-based methods. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (Memetic Comput., 2018)

A New Representation in PSO for Discretization-Based Feature Selection. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2018)

Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (ACPR (2), 2019)

A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry. - Samaneh Azari; Bing Xue 001; Mengjie Zhang 001; Lifeng Peng (ACPR (2), 2019)

Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2019)

Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. - Juhini Desai; Bach Hoai Nguyen; Bing Xue 001 (Australasian Conference on Artificial Intelligence, 2019)

Instance based Transfer Learning for Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (CEC, 2019)

Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. - Samaneh Azari; Mengjie Zhang 001; Bing Xue 001; Lifeng Peng (CEC, 2019)

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. - Wenlong Fu; Bing Xue 001; Xiaoying Gao; Mengjie Zhang 001 (CEC, 2019)

A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. - William Irwin-Harris; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. - Will Pearson; Cao Truong Tran; Mengjie Zhang 001; Bing Xue 001 (CEC, 2019)

New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (CEC, 2019)

Genetic Programming with Rademacher Complexity for Symbolic Regression. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (CEC, 2019)

Blocky Net: A New NeuroEvolution Method. - Thomas Watts; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Can Genetic Programming Do Manifold Learning Too? - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2019)

Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection. - Shima Afzali; Harith Al-Sahaf; Bing Xue 001; Christopher Hollitt; Mengjie Zhang 001 (EvoApplications, 2019)

GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm. - Samaneh Azari; Bing Xue 001; Mengjie Zhang 001; Lifeng Peng (EvoApplications, 2019)

Differential evolution for instance based transfer learning in genetic programming for symbolic regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO (Companion), 2019)

An automated ensemble learning framework using genetic programming for image classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2019)

What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. - Benjamin P. Evans; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2019)

Absumption to complement subsumption in learning classifier systems. - Yi Liu 090; Will N. Browne; Bing Xue 001 (GECCO, 2019)

Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. - Brandon Muller; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO (Companion), 2019)

Population-based ensemble classifier induction for domain adaptation. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001; Peter Andreae (GECCO, 2019)

Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO (Companion), 2019)

Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2019)

Evolving deep neural networks by multi-objective particle swarm optimization for image classification. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2019)

Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (IVCNZ, 2019)

The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets. - Damien O'Neill; Bing Xue 001; Mengjie Zhang 001 (IVCNZ, 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. - Samaneh Azari; Bing Xue 001; Mengjie Zhang 001; Lifeng Peng (PRICAI (3), 2019)

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (PRICAI (3), 2019)

A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2019)

Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms. - Juhini Desai; Bach Hoai Nguyen; Bing Xue 001 (SSCI, 2019)

A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. - Wenbin Pei; Bing Xue 001; Mengjie Zhang 001; Lin Shang 001 (SSCI, 2019)

Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. - Benjamin Patrick Evans; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2019)

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. - Su Nguyen; Yi Mei 001; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2019)

Genetic programming for multiple-feature construction on high-dimensional classification. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (Pattern Recognit., 2019)

Genetic programming with transfer learning for texture image classification. - Muhammad Iqbal 001; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (Soft Comput., 2019)

Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (IEEE Trans. Evol. Comput., 2019)

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Evol. Comput., 2019)

Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification. - Binh Tran; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification. - Yu Xue 003; Bing Xue 001; Mengjie Zhang 001 (ACM Trans. Knowl. Discov. Data, 2019)

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Neural Networks Learn. Syst., 2019)

In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets. - Kosisochukwu Judith Madukwe; Xiaoying Gao; Bing Xue 001 (WOAH, 2020)

Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2020)

Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Genetic Programming-Based Feature Learning for Facial Expression Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. - Ke Chen; Bing Xue 001; Mengjie Zhang 001; Fengyu Zhou (CEC, 2020)

A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. - Benjamin P. Evans; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

A Region Adaptive Image Classification Approach Using Genetic Programming. - Qinglan Fan; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (CEC, 2020)

Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (CEC, 2020)

Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2020)

Improving symbolic regression based on correlation between residuals and variables. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

A genetic programming approach to feature construction for ensemble learning in skin cancer detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Evolving network structures for text classification using genetic algorithms. - Hayden Andersen; Xiaoying Gao; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2020)

Automatically extracting features for face classification using multi-objective genetic programming. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2020)

Improving generalisation of AutoML systems with dynamic fitness evaluations. - Benjamin P. Evans; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Absumption and subsumption based learning classifier systems. - Yi Liu 090; Will N. Browne; Bing Xue 001 (GECCO, 2020)

Neural architecture search for sparse DenseNets with dynamic compression. - Damien O'Neill; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO Companion, 2020)

Adaptive weighted splines: a new representation to genetic programming for symbolic regression. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. - Hang Xu 003; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. - Yuqiao Liu 002; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (IJCNN, 2020)

A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (IVCNZ, 2020)

Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (PPSN (1), 2020)

GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. - Inti Mateus Resende Albuquerque; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection. - Kosisochukwu Judith Madukwe; Xiaoying Gao; Bing Xue 001 (SSCI, 2020)

GPCNN: Evolving Convolutional Neural Networks using Genetic Programming. - Abigail McGhie; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (SSCI, 2020)

Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection. - Wenxin Zhao; Yanan Sun 001; Bing Xue 001 (SSCI, 2020)

Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language. - Kosisochukwu Judith Madukwe; Xiaoying Gao; Bing Xue 001 (WI/IAT, 2020)

A survey on feature selection approaches for clustering. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Artif. Intell. Rev., 2020)

Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. - Stefano Cagnoni; Harith Al-Sahaf; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2020)

An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2020)

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2020)

Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2020)

A Survey on Evolutionary Neural Architecture Search. - Yuqiao Liu 002; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (CoRR, 2020)

Evolving Character-level Convolutional Neural Networks for Text Classification. - Trevor Londt; Xiaoying Gao; Bing Xue 001; Peter Andreae (CoRR, 2020)

Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2020)

Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. - Andrew Lensen; Mengjie Zhang 001; Bing Xue 001 (Genet. Program. Evolvable Mach., 2020)

Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. - Andrea De Lorenzo; Alberto Bartoli; Mauro Castelli; Eric Medvet; Bing Xue 001 (Genet. Program. Evolvable Mach., 2020)

Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection. - An-Da Li; Bing Xue 001; Mengjie Zhang 001 (Inf. Sci., 2020)

Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks. - Ke Chen; Bing Xue 001; Mengjie Zhang 001; Fengyu Zhou (Knowl. Based Syst., 2020)

Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Soft Comput., 2020)

A survey on swarm intelligence approaches to feature selection in data mining. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2020)

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen; Jiancheng Lv 001 (IEEE Trans. Cybern., 2020)

Multiobjective Multitasking Optimization Based on Incremental Learning. - Jiabin Lin; Hai-Lin Liu 001; Bing Xue 001; Mengjie Zhang 001; Fangqing Gu (IEEE Trans. Evol. Comput., 2020)

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Hisao Ishibuchi; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2020)

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. - Yanan Sun 001; Handing Wang; Bing Xue 001; Yaochu Jin; Gary G. Yen; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2020)

Evolving Deep Convolutional Neural Networks for Image Classification. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Evol. Comput., 2020)

Completely Automated CNN Architecture Design Based on Blocks. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (Deep Neural Evolution, 2020)

GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. - Hayden Andersen; Andrew Lensen; Bing Xue 001 (CEC, 2021)

Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. - Hayden Andersen; Sean Stevenson; Tuan Ha; Xiaoying Gao; Bing Xue 001 (CEC, 2021)

Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. - Arka Ghosh 001; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001 (CEC, 2021)

A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. - An-Da Li; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. - Demelza Robinson; Qi Chen 002; Bing Xue 001; Daniel Killeen; Sara Fraser-Miller; Keith C. Gordon; Indrawati Oey; Mengjie Zhang 001 (CEC, 2021)

Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. - Demelza Robinson; Qi Chen 002; Bing Xue 001; Isabella Wagner; Michael Price; Paul Hume; Kai Chen; Justin Hodgkiss; Mengjie Zhang 001 (CEC, 2021)

Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (CEC, 2021)

A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Mengjie Zhang 001; Jing J. Liang (CEC, 2021)

Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. - Zichu Yan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. - Yunhan Yang; Bing Xue 001; Linley Jesson; Mengjie Zhang 001 (CEC, 2021)

Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (EvoApplications, 2021)

Sparsity-based evolutionary multi-objective feature selection for multi-label classification. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Genetic programming with a new representation and a new mutation operator for image classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Genetic programming for borderline instance detection in high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO, 2021)

Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. - Bin Wang 044; Wenbin Pei; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (ICDM (Workshops), 2021)

Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (ICDM (Workshops), 2021)

Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. - Caleb Buchanan; Ying Bi; Bing Xue 001; Ross Vennell; Simon Childerhouse; Matthew K. Pine; Dana Briscoe; Mengjie Zhang 001 (IVCNZ, 2021)

Deep Convolutional Neural Networks for Fish Weight Prediction from Images. - Yunhan Yang; Bing Xue 001; Linley Jesson; Matthew Wylie; Mengjie Zhang 001; Maren Wellenreuther (IVCNZ, 2021)

What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task. - Kosisochukwu Judith Madukwe; Xiaoying Gao; Bing Xue 001 (PRICAI (2), 2021)

MGEoT: A Multi-grained Ensemble Method for Time Series Classification. - Ziyi Wang; Yujie Zhou; Chun Li; Lin Shang 001; Bing Xue 001 (PRICAI (1), 2021)

A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (PRICAI (1), 2021)

Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. - Alistair John McLeay; Abigail McGhie; Dana Briscoe; Ying Bi; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (SSCI, 2021)

Multi-objective genetic programming for feature learning in face recognition. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2021)

Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features. - Wenlong Fu; Bing Xue 001; Xiaoying Gao; Mengjie Zhang 001 (Appl. Soft Comput., 2021)

Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies. - An-Da Li; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2021)

Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Appl. Soft Comput., 2021)

Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2021)

Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. - Bo Peng; Ying Bi; Bing Xue 001; Mengjie Zhang 001; Shuting Wan (IEEE Comput. Intell. Mag., 2021)

Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances. - Harith Al-Sahaf; Ausama Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2021)

An automatic feature construction method for salient object detection: A genetic programming approach. - Shima Afzali Vahed Moghaddam; Harith Al-Sahaf; Bing Xue 001; Christopher Hollitt; Mengjie Zhang 001 (Expert Syst. Appl., 2021)

Output-based transfer learning in genetic programming for document classification. - Wenlong Fu; Bing Xue 001; Xiaoying Gao; Mengjie Zhang 001 (Knowl. Based Syst., 2021)

A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Soft Comput., 2021)

Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. - Bo Peng; Shuting Wan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Guest Editorial Evolutionary Computation Meets Deep Learning. - Weiping Ding 001; Witold Pedrycz; Gary G. Yen; Bing Xue 001 (IEEE Trans. Evol. Comput., 2021)

Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks. - Damien O'Neill; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection. - Hang Xu 003; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization. - Yi Liu 090; Will N. Browne; Bing Xue 001 (ACM Trans. Evol. Learn. Optim., 2021)

Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (AI, 2022)

EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001 (AI, 2022)

Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (AI, 2022)

Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. - Peng Wang 102; Bing Xue 001; Jing J. Liang; Mengjie Zhang 001 (AI, 2022)

Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. - Jesse Wood; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001; Daniel Killeen (AI, 2022)

Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2022)

A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. - Demelza Robinson; Qi Chen 002; Bing Xue 001; Daniel Killeen; Keith C. Gordon; Mengjie Zhang 001 (EvoApplications, 2022)

Particle swarm optimisation for sparsity-based feature selection in multi-label classification. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2022)

Multi-task optimisation for multi-objective feature selection in classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2022)

A comparison of rule compaction algorithms for michigan style learning classifier systems. - Yi Liu 090; Will N. Browne; Bing Xue 001 (GECCO Companion, 2022)

A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (ICDM (Workshops), 2022)

Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. - Wenlong Fu; Bing Xue 001; Mengjie Zhang 001; Jan Schindler (IVCNZ, 2022)

Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. - Yan Lu; Bach Hoai Nguyen; Bing Xue 001 (SSCI, 2022)

Learning CNN architecture for multi-view text classification using genetic algorithms. - Finn Sargisson; Xiaoying Gao; Bing Xue 001 (SSCI, 2022)

Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. - Binke Xu; Ying Bi; Bing Xue 001; Jan Schindler; Brent Martin; Mengjie Zhang 001 (SSCI, 2022)

A Survey on Fault Diagnosis of Rolling Bearings. - Bo Peng; Ying Bi; Bing Xue 001; Mengjie Zhang 001; Shuting Wan (Algorithms, 2022)

Feature fusion and kernel selective in Inception-v4 network. - Feng Chen; Jiangshu Wei; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2022)

Genetic programming for feature extraction and construction in image classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2022)

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. - Bin Wang 044; Wenbin Pei; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2022)

An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2022)

High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Evol. Comput., 2022)

Genetic programming for automatic skin cancer image classification. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (Expert Syst. Appl., 2022)

Using a small number of training instances in genetic programming for face image classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Inf. Sci., 2022)

Fuzzy filter cost-sensitive feature selection with differential evolution. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2022)

Visualizations for rule-based machine learning. - Yi Liu 090; Will N. Browne; Bing Xue 001 (Nat. Comput., 2022)

Genetic Programming for High-Level Feature Learning in Crop Classification. - Miao Lu; Ying Bi; Bing Xue 001; Qiong Hu 002; Mengjie Zhang 001; Yanbing Wei; Peng Yang 005; Wenbin Wu (Remote. Sens., 2022)

An Object-Based Genetic Programming Approach for Cropland Field Extraction. - Caiyun Wen 001; Miao Lu; Ying Bi; Shengnan Zhang; Bing Xue 001; Mengjie Zhang 001; Qingbo Zhou; Wenbin Wu (Remote. Sens., 2022)

ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. - Yanan Sun 001; Gary G. Yen; Bing Xue 001; Mengjie Zhang 001; Jiancheng Lv 001 (IEEE Trans. Artif. Intell., 2022)

Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. - Ke Chen; Bing Xue 001; Mengjie Zhang 001; Fengyu Zhou (IEEE Trans. Cybern., 2022)

Genetic Programming for Instance Transfer Learning in Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

Dual-Tree Genetic Programming for Few-Shot Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. - Ke Chen; Bing Xue 001; Mengjie Zhang 001; Fengyu Zhou (IEEE Trans. Evol. Comput., 2022)

Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. - Ke Chen; Bing Xue 001; Mengjie Zhang 001; Fengyu Zhou (IEEE Trans. Evol. Comput., 2022)

Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

Genetic Programming for Manifold Learning: Preserving Local Topology. - Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. - Xiangning Xie; Yuqiao Liu 002; Yanan Sun 001; Gary G. Yen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Token replacement-based data augmentation methods for hate speech detection. - Kosisochukwu Judith Madukwe; Xiaoying Gao; Bing Xue 001 (World Wide Web, 2022)

Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. - Mitchell Rogers; Igor Debski; Johannes Fischer; Peter McComb; Peter Frost; Bing Xue 001; Mengjie Zhang 001; Patrice Delmas (ACIVS, 2023)

Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. - Qurrat Ul Ain; Bing Xue 001; Harith Al-Sahaf; Mengjie Zhang 001 (AusDM, 2023)

Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (AusDM, 2023)

MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. - Hengzhe Zhang; Qi Chen 002; Alberto Tonda; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2023)

AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EvoApplications@EvoStar, 2023)

A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2023)

Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. - Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2023)

Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001 (GECCO Companion, 2023)

Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. - Yi Liu 090; Yu Cui; Will N. Browne; Bing Xue 001; Wen Cheng; Yong Li; Lingfang Zeng (GECCO Companion, 2023)

Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2023)

An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2023)

A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. - Hengzhe Zhang; Aimin Zhou; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2023)

Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. - David Knox; Bing Xue 001; Mengjie Zhang 001 (INNS DLIA@IJCNN, 2023)

Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks. - David Knox; Bing Xue 001; Mengjie Zhang 001; Jeromy Cuff (IVCNZ, 2023)

Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. - Carl McMillan; Junhong Zhao; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2023)

Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels. - Hamish O'Keeffe; Bing Xue 001; Mengjie Zhang 001; Nicola Hawes; Cris Lovell-Smith (IVCNZ, 2023)

An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery. - Ziyi Sun; Bing Xue 001; Mengjie Zhang 001; Jan Schindler (IVCNZ, 2023)

A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. - Dylon Zeng; Ying Bi; Ivy Liu; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2023)

Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming. - Junhong Zhao; Carl McMillan; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2023)

Large-Scale Mussel Farm Reconstruction with GPS Auxiliary. - Junhong Zhao; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2023)

Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PRICAI (2), 2023)

Online Loss Function Learning. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2023)

Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

A Multiform Optimization Framework for Constrained Multiobjective Optimization. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Multiobjective Differential Evolution for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Explainable Artificial Intelligence by Genetic Programming: A Survey. - Yi Mei 001; Qi Chen 002; Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. - Ying Bi; Bing Xue 001; Pablo Mesejo; Stefano Cagnoni; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

A Survey on Evolutionary Neural Architecture Search. - Yuqiao Liu 002; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. - Peng Wang 102; Bing Xue 001; Jing J. Liang; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (Inf. Sci., 2023)

Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning. - Qinge Xiao; Ben Niu 002; Bing Xue 001; Luoke Hu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Feature clustering-Assisted feature selection with differential evolution. - Peng Wang 102; Bing Xue 001; Jing J. Liang; Mengjie Zhang 001 (Pattern Recognit., 2023)

Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. - An-Da Li; Bing Xue 001; Mengjie Zhang 001 (Inf. Sci., 2023)

Differential Evolution With Duplication Analysis for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Evol. Comput., 2023)

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2023)

An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2023)

Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (CEC, 2024)

Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. - Kaan Demir; Bach Hoai Nguyen; Jeremy S. Rooney; Bing Xue 001; Mengjie Zhang 001; Kirill Lagutin; Andrew MacKenzie; Keith C. Gordon; Daniel P. Killeen (CEC, 2024)

Evaluating Machine Learning Techniques for Predicting Salinity. - Matthew Harper; Ivy Liu; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (CEC, 2024)

Evolutionary Label Selection for Multi-label Classification. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2024)

Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. - Shanshan Tang; Qi Chen 002; Bing Xue 001; Min Huang; Mengjie Zhang 001 (CEC, 2024)

Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. - Ramya Anasseriyil Viswambaran; Mohammad Nekooei; Gang Chen 002; Bing Xue 001 (CEC, 2024)

Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. - Ramya Anasseriyil Viswambaran; Mohammad Nekooei; Gang Chen 002; Bing Xue 001 (CEC, 2024)

Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (CEC, 2024)

A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. - Jizhong Xu; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2024)

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2024)

Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. - Qinyu Wang; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (EvoApplications@EvoStar, 2024)

Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2024)

Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

A Phenotypic Learning Classifier System for Problems with Continuous Features. - Yi Liu 090; Yu Cui; Wen Cheng; Will Neil Browne; Bing Xue 001; Chengyuan Zhu; Yiding Zhang; Mingkai Sheng; Lingfang Zeng (GECCO, 2024)

Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation. - Jiahong Wei; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2024)

Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. - Tuo Zhang; Ying Bi; Jing Liang 005; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2024)

A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO Companion, 2024)

Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis. - Yun Zhou; Gang Chen 002; Bing Xue 001; Mengjie Zhang 001; Jeremy S. Rooney; Kirill Lagutin; Andrew MacKenzie; Keith C. Gordon; Daniel P. Killeen (ICONIP (4), 2024)

Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection. - Qinglan Fan; Ying Bi; Bing Xue 001; Jane E. Symonds; Lauren M. Fletcher; Mengjie Zhang 001 (IVCNZ, 2024)

Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision. - Yida Lin; Bing Xue 001; Mengjie Zhang 001; Sam Schofield; Richard Green (IVCNZ, 2024)

Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring. - Carl McMillan; Junhong Zhao; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2024)

Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images. - Dylon Zeng; Ying Bi; Ivy Liu; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2024)

P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PPSN (1), 2024)

A Consistent Lebesgue Measure for Multi-label Learning. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2024)

Explaining Genetic Programming Trees using Large Language Models. - Paula Maddigan; Andrew Lensen; Bing Xue 001 (CoRR, 2024)

Genetic Programming for Explainable Manifold Learning. - Ben Cravens; Andrew Lensen; Paula Maddigan; Bing Xue 001 (CoRR, 2024)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CoRR, 2024)

Meta-Learning Neural Procedural Biases. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2024)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. - Javier Poyatos; Javier Del Ser; Salvador García 001; Hisao Ishibuchi; Daniel Molina; Isaac Triguero; Bing Xue 001; Xin Yao 001; Francisco Herrera (CoRR, 2024)

Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Integrating SGBM and Segmentation Models. - Yida Lin; Bing Xue 001; Mengjie Zhang 001; Sam Schofield; Richard Green (CoRR, 2024)

Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration. - Yida Lin; Bing Xue 001; Mengjie Zhang 001; Sam Schofield; Richard Green (CoRR, 2024)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning. - Wenbin Pei; Ruohao Dai; Bing Xue 001; Mengjie Zhang 001; Qiang Zhang 008; Yiu-Ming Cheung; Shuyin Xia (CoRR, 2024)

Federated Unlearning Model Recovery in Data with Skewed Label Distributions. - Xinrui Yu; Wenbin Pei; Bing Xue 001; Qiang Zhang 008 (CoRR, 2024)

A Tri-Objective Method for Bi-Objective Feature Selection in Classification. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2024)

An evolutionary neural architecture search method based on performance prediction and weight inheritance. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (Inf. Sci., 2024)

A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. - Jing J. Liang; Zexuan Yang; Ying Bi; Boyang Qu; Mengnan Liu; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing. - Shihui Liu; Meiping Song; Bing Xue 001; Chein-I Chang; Mengjie Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

SALENet: Structure-Aware Lighting Estimations From a Single Image for Indoor Environments. - Junhong Zhao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Image Process., 2024)

A genetic programming-based method for image classification with small training data. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2024)

Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2024)

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. - Nan Li; Lianbo Ma; Guo Yu 001; Bing Xue 001; Mengjie Zhang 001; Yaochu Jin (ACM Comput. Surv., 2024)

Genetic Programming for Document Classification: A Transductive Transfer Learning System. - Wenlong Fu; Bing Xue 001; Xiaoying Gao; Mengjie Zhang 001 (IEEE Trans. Cybern., 2024)

A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? - Wenbin Pei; Bing Xue 001; Mengjie Zhang 001; Lin Shang 001; Xin Yao 001; Qiang Zhang 008 (IEEE Trans. Evol. Comput., 2024)

A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. - Cuie Yang; Bing Xue 001; Kay Chen Tan; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A geometric semantic macro-crossover operator for evolutionary feature construction in regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (Genet. Program. Evolvable Mach., 2024)

A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Guest Editorial Evolutionary Neural Architecture Search. - Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Evol. Comput., 2024)

A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. - Haitong Zhao; Changsheng Zhang 001; Bing Xue 001; Mengjie Zhang 001; Bin Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2024)

Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. - Qurrat Ul Ain; Harith Al-Sahaf; Bing Xue 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2024)

SGformer: Boosting transformers for indoor lighting estimation from a single image. - Junhong Zhao; Bing Xue 001; Mengjie Zhang 001 (Comput. Vis. Media, 2024)

A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. - Ruwang Jiao; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. - Bin Wang 044; Wenbin Pei; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Bing Xue 001 (Memetic Comput., 2024)

A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Artif. Intell., 2024)

A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. - Ying Bi; Jing J. Liang; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. - Zhenshou Song; Handing Wang; Bing Xue 001; Mengjie Zhang 001; Yaochu Jin (IEEE Trans. Evol. Comput., 2024)

Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. - Gonglin Yuan; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. - Hengzhe Zhang; Aimin Zhou; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection. - Hang Xu 003; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001; Gary G. Yen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Constrained Multiobjective Optimization via Relaxations on Both Constraints and Objectives. - Fei Ming; Bing Xue 001; Mengjie Zhang 001; Wenyin Gong; Huixiang Zhen (IEEE Trans. Artif. Intell., 2024)

Evolutionary Multitasking for Multiobjective Feature Selection in Classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection. - Zhenshou Song; Handing Wang; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images. - Jigang Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2025)

Cooperative Coevolutionary Probability-Based Binary Particle Swarm Optimization for High-Dimensional Feature Selection. - An-Da Li; Bing Xue 001; Mengjie Zhang 001; Xiongmin Lin; Guodong Wang (CEC, 2025)

Solving Multimodal Multi-objective Optimization Problems in Limited Time. - Fei Ming; Bing Xue 001; Wenyin Gong; Mengjie Zhang 001 (CEC, 2025)

Multitree GP-Based Feature Learning for Multimodal Medical Image Classification. - Zhicheng Wu; Bing Xue 001; Mengjie Zhang 001 (CEC, 2025)

Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis. - Yuye Zhang; Fangfang Zhang 003; Bing Xue 001; Mengjie Zhang 001 (CEC, 2025)

A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CEC, 2025)

Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. - Yun Zhou; Gang Chen 002; Bing Xue 001; Mengjie Zhang 001; Jeremy S. Rooney; Keith C. Gordon; Daniel P. Killeen (CEC, 2025)

Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. - Hengzhe Zhang; Alberto Tonda; Qi Chen 002; Bing Xue 001; Evelyne Lutton; Mengjie Zhang 001 (EuroGP, 2025)

Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming. - Wenlong Fu; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EvoApplications (2), 2025)

Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001 (GECCO, 2025)

A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability. - Quan Long; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2025)

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (ICLR, 2025)

Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models. - Bisma Ayaz; Xiaoying Gao; Bing Xue 001 (PAKDD (7), 2025)

Efficient perturbation-aware distinguishing score for zero-shot neural architecture search. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001; Gary G. Yen (Appl. Soft Comput., 2025)

Evolving temporal convolutional neural networks for modeling turntable servo systems. - Cheng Xie; Bing Xue 001; Mengjie Zhang 001; Songlin Chen; Yang Liu 377 (Appl. Soft Comput., 2025)

Regularized multi-task learning with individual-feature-based task correlations for Alzheimer's cognitive score prediction. - Shanshan Tang; Qi Chen 002; Bing Xue 001; Min Huang; Mengjie Zhang 001 (Comput. Methods Programs Biomed., 2025)

Evolutionary Sparsity Regularisation-Based Feature Selection for Binary Classification. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2025)

Evolutionary neural architecture search for automatically designing CNN-GRU-Attention neural networks for turntable servo systems. - Cheng Xie; Bing Xue 001; Mingyi Yang; Mengjie Zhang 001; Zhigang Xu; Junyi Wang; Songlin Chen; Yang Liu 377 (Expert Syst. Appl., 2025)

Automated design of neural networks with multi-scale convolutions via multi-path weight sampling. - Junhao Huang 002; Bing Xue 001; Yanan Sun 001; Mengjie Zhang 001; Gary G. Yen (Pattern Recognit., 2025)

Semantics-guided multi-task genetic programming for multi-output regression. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Pattern Recognit., 2025)

Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection. - Shihui Liu; Bing Xue 001; Meiping Song; Haimo Bao; Mengjie Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns. - Ziyi Sun; Bing Xue 001; Mengjie Zhang 001; Jan Schindler (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Listwise ranking predictor for evolutionary neural architecture search. - Nan Li; Lianbo Ma; Rui Wang; Shi Cheng; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2025)

Multi-objective genetic programming based on decomposition for feature learning in image classification. - Tuo Zhang; Ying Bi; Jing Liang 005; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2025)

Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator. - Huixiang Zhen; Bing Xue 001; Wenyin Gong; Mengjie Zhang 001; Ling Wang (Swarm Evol. Comput., 2025)

Anisotropic Spherical Gaussians Lighting Priors for Indoor Environment Map Estimation. - Junhong Zhao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Image Process., 2025)

A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks. - Quan Long; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2025)

A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift. - Botao Jiao; Heitor Murilo Gomes; Bing Xue 001; Yinan Guo 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2025)

Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys. - Mitchell Rogers; Theo Thompson; Isla Duporge; Johannes Fischer; Klemens Pütz; Thomas Mattern; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2025)

LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2025)

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives. - Zhixing Huang; Bing Xue 001; Mengjie Zhang 001; Jeremy S. Ronney; Keith C. Gordon; Daniel P. Killeen (CoRR, 2025)

A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design. - Yaqing Hou; Zhaoping Yu; Zheng Guo; Wenbin Pei; Yaoxin Wu; Hongwei Ge; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Data Sci. Eng., 2025)

Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification. - Qinyu Wang; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Sparse Learning-Based Feature Selection in Classification: A Multi-Objective Perspective. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)