Bing Xue

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 415

Top Venues

CEC

IEEE Trans. Evol. Comput.

CoRR

GECCO

Publications

Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue
Genetic Programming for Explainable Manifold Learning. CoRR (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR (2024)
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR (2024)
Ruwang Jiao, Bing Xue, Mengjie Zhang
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. IEEE Trans. Evol. Comput. 28 (4) (2024)
Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25 (1) (2024)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. IEEE Comput. Intell. Mag. 19 (1) (2024)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. GECCO (2024)
Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng
A Phenotypic Learning Classifier System for Problems with Continuous Features. GECCO (2024)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. 54 (7) (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO (2024)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Trans. Evol. Comput. 28 (3) (2024)
Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, Bin Zhang
A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. IEEE Trans. Evol. Comput. 28 (3) (2024)
Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. CEC (2024)
Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. 28 (4) (2024)
Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. EvoApplications@EvoStar (2024)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR (2024)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. CEC (2024)
Gonglin Yuan, Bing Xue, Mengjie Zhang
An evolutionary neural architecture search method based on performance prediction and weight inheritance. Inf. Sci. 667 (2024)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
A genetic programming-based method for image classification with small training data. Knowl. Based Syst. 283 (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP (2024)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
A Consistent Lebesgue Measure for Multi-label Learning. CoRR (2024)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. IEEE Comput. Intell. Mag. 19 (3) (2024)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC (2024)
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. IEEE Trans. Evol. Comput. 28 (1) (2024)
Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang
Evaluating Machine Learning Techniques for Predicting Salinity. CEC (2024)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
Guest Editorial Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Kaan Demir, Bach Nguyen, Bing Xue, Mengjie Zhang
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. GECCO Companion (2024)
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28 (2) (2024)
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Evolutionary Label Selection for Multi-label Classification. CEC (2024)
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56 (2) (2024)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Meta-Learning Neural Procedural Biases. CoRR (2024)
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
Genetic Programming for Document Classification: A Transductive Transfer Learning System. IEEE Trans. Cybern. 54 (2) (2024)
Shihui Liu, Meiping Song, Bing Xue, Chein-I Chang, Mengjie Zhang
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. IEEE Trans. Evol. Comput. 28 (4) (2024)
Paula Maddigan, Andrew Lensen, Bing Xue
Explaining Genetic Programming Trees using Large Language Models. CoRR (2024)
Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. GECCO Companion (2024)
Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. CEC (2024)
Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Trans. Evol. Comput. 28 (2) (2024)
Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO (2023)
An-Da Li, Bing Xue, Mengjie Zhang
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Inf. Sci. 641 (2023)
Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. GECCO Companion (2023)
Emrah Hancer, Bing Xue, Mengjie Zhang
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. Knowl. Based Syst. 280 (2023)
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. IVCNZ (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO (2023)
Ruwang Jiao, Bing Xue, Mengjie Zhang
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. IEEE Trans. Cybern. 53 (12) (2023)
Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) (2023)
Ying Bi, Bing Xue, Mengjie Zhang
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53 (2) (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626 (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53 (7) (2023)
David Knox, Bing Xue, Mengjie Zhang, Jeromy Cuff
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks. IVCNZ (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Online Loss Function Learning. CoRR (2023)
Gonglin Yuan, Bing Xue, Mengjie Zhang
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO (2023)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. IEEE Trans. Evol. Comput. 27 (5) (2023)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. GECCO Companion (2023)
Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes, Cris Lovell-Smith
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels. IVCNZ (2023)
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. AusDM (2023)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27 (3) (2023)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. CoRR (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18 (4) (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53 (10) (2023)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Trans. Cybern. 53 (5) (2023)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140 (2023)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO (2023)
Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. IVCNZ (2023)
Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27 (3) (2023)
Bing Xue, Mengjie Zhang
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion (2023)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion (2023)
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion (2023)
Qinge Xiao, Ben Niu, Bing Xue, Luoke Hu
Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning. IEEE Trans. Syst. Man Cybern. Syst. 53 (5) (2023)
Ying Bi, Bing Xue, Mengjie Zhang
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53 (5) (2023)
David Knox, Bing Xue, Mengjie Zhang
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. INNS DLIA@IJCNN (2023)
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM (2023)
Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary. IVCNZ (2023)
Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler
An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery. IVCNZ (2023)
Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell, Mengjie Zhang
Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming. IVCNZ (2023)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27 (4) (2023)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27 (2) (2023)
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27 (1) (2023)
Ruwang Jiao, Bing Xue, Mengjie Zhang
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53 (8) (2023)
Qurrat UI Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. ICDM (Workshops) (2022)
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26 (3) (2022)
Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14 (5) (2022)
Yi Liu, Will N. Browne, Bing Xue
Visualizations for rule-based machine learning. Nat. Comput. 21 (2) (2022)
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52 (7) (2022)
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR (2022)
Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52 (8) (2022)
Bin Wang, Bing Xue, Mengjie Zhang
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. CoRR (2022)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI (2022)
Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang
Feature fusion and kernel selective in Inception-v4 network. Appl. Soft Comput. 119 (2022)
Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. CoRR (2022)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118 (2022)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26 (6) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bing Xue