Bing Xue

591 papers A* 2A 37B 117C 7Misc 29Journal 267Unranked 127
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Evolutionary Feature Selection in Multilabel Classification.
IEEE Trans. Evol. Comput.
Emrah Hancer, Bing Xue, Mengjie Zhang
2026 J jnl
An enhanced genetic programming algorithm with new genetic operators for medical image classification.
Genet. Program. Evolvable Mach.
Lin Dong, Ying Bi, Bing Xue, Mengjie Zhang
2026 J jnl
Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective Optimization Approach.
IEEE Trans. Evol. Comput.
Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang
2026 J jnl
Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization.
CoRR
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2026 J jnl
Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification.
CoRR
Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-ming Cheung
2026 J jnl
EvoSampling: A Granular Ball-Based Evolutionary Hybrid Sampling With Knowledge Transfer for Imbalanced Learning [Research Frontier].
IEEE Comput. Intell. Mag.
Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-ming Cheung, Shuyin Xia
2026 J jnl
Evolutionary multitasking for multi-objective feature selection in fish chemical analysis.
Appl. Soft Comput.
Jiabin Lin, Qi Chen, Bing Xue, Jeremy S. Rooney, Mengjie Zhang, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2026 J jnl
Genetic Programming for Explainable Manifold Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue
2026 J jnl
Genetic Programming for Malignancy Diagnosis From Breast Cancer Histopathological Images: A Feature Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2026 J jnl
Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification.
IEEE Trans. Evol. Comput.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2026 J jnl
LightMix: Multi-Objective Search for Lightweight Mixed-Scale Convolutional Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
2026 J jnl
Making Animal Re-Identification Accessible: A Web-Based Giraffe ID System for Zoos.
Inf.
Nipuna Lakshitha Saputhanthrige Don, Mitchell Rogers, Junhong Zhao, Bing Xue, Mengjie Zhang
2026 J jnl
Multi-Objective Once-for-All Neural Architecture Search for Medical Image Segmentation.
IEEE Trans. Image Process.
Jiahong Wei, Bing Xue, Mengjie Zhang
2026 B ed.
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part I
PRICAI
Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026 B ed.
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part II
PRICAI
Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026 — ed.
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part IV
PRICAI (4)
Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026 J jnl
Progressive Per-Branch Depth Optimization for DEFOM-Stereo and SAM3 Joint Analysis in UAV Forestry Applications.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2026 J jnl
Real-Time Branch-to-Tool Distance Estimation for Autonomous UAV Pruning: Benchmarking Five DEFOM-Stereo Variants from Simulation to Jetson Deployment.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2026 J jnl
Towards Gold-Standard Depth Estimation for Tree Branches in UAV Forestry: Benchmarking Deep Stereo Matching Methods.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2026 J jnl
Training Deep Stereo Matching Networks on Tree Branch Imagery: A Benchmark Study for Real-Time UAV Forestry Applications.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2026 J jnl
UE5-Forest: A Photorealistic Synthetic Stereo Dataset for UAV Forestry Depth Estimation.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2026 J jnl
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns.
IEEE Trans. Emerg. Top. Comput. Intell.
Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler
2025 B conf
A Consistent Lebesgue Measure for Multi-label Learning.
PRICAI
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2025 B conf
A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression.
CEC
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025 J jnl
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks.
CoRR
Quan Long, Bin Wang, Bing Xue, Mengjie Zhang
2025 J jnl
A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design.
IEEE Trans. Syst. Man Cybern. Syst.
Yaqing Hou, Zhaoping Yu, Zheng Guo, Wenbin Pei, Yaoxin Wu, Hongwei Ge, Bing Xue, Mengjie Zhang
2025 J jnl
A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets.
IEEE Trans. Emerg. Top. Comput. Intell.
Emrah Hancer, Bing Xue, Mengjie Zhang
2025 A conf
A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability.
GECCO
Quan Long, Bin Wang, Bing Xue, Mengjie Zhang
2025 J jnl
A Multiform Many-Objective Evolutionary Algorithm for Multilabel Feature Selection in Classification.
IEEE Trans. Evol. Comput.
Emrah Hancer, Bing Xue, Mengjie Zhang
2025 J jnl
A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift.
IEEE Comput. Intell. Mag.
Botao Jiao, Heitor Murilo Gomes, Bing Xue, Yinan Guo, Mengjie Zhang
2025 B conf
A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators.
PRICAI
Kunjie Yu, Mengyu Wang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
2025 J jnl
A new genetic programming approach to fine-grained flower image classification.
Complex Intell. Syst.
Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang
2025 J jnl
Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression.
Genet. Program. Evolvable Mach.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025 — conf
Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models.
PAKDD (7)
Bisma Ayaz, Xiaoying Gao, Bing Xue
2025 J jnl
An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming.
IEEE Trans. Evol. Comput.
Kunjie Yu, Jintao Lian, Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang
2025 B conf
An End-to-End Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-site and Multi-modal MRI Data.
PRICAI
Qichen Zhang, Yunhui Yue, Di Zhang, Kun Zhao, Alan Wang, Bing Xue, Yong Liu, Fangrong Zong
2025 J jnl
An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification.
Complex Intell. Syst.
Hang Xu, Bing Xue, Mengjie Zhang
2025 J jnl
Anisotropic Spherical Gaussians Lighting Priors for Indoor Environment Map Estimation.
IEEE Trans. Image Process.
Junhong Zhao, Bing Xue, Mengjie Zhang
2025 J jnl
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement.
IEEE Trans. Emerg. Top. Comput. Intell.
Emrah Hancer, Bing Xue, Mengjie Zhang
2025 J jnl
Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization.
IEEE Trans. Cybern.
Fei Ming, Wenyin Gong, Bing Xue, Mengjie Zhang, Yaochu Jin
2025 B conf
Automated Design of Neural Networks for River Flow Prediction Using Weather Data.
PRICAI
Junhao Huang, Romain Chaput, Bing Xue, Ivy Liu, Ross Vennell, Mengjie Zhang
2025 J jnl
Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys.
CoRR
Mitchell Rogers, Theo Thompson, Isla Duporge, Johannes Fischer, Klemens Pütz, Thomas Mattern, Bing Xue, Mengjie Zhang
2025 J jnl
Automated design of neural networks with multi-scale convolutions via multi-path weight sampling.
Pattern Recognit.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
2025 — conf
Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression.
GECCO Companion
Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton
2025 B conf
Cooperative Coevolutionary Probability-Based Binary Particle Swarm Optimization for High-Dimensional Feature Selection.
CEC
An-Da Li, Bing Xue, Mengjie Zhang, Xiongmin Lin, Guodong Wang
2025 J jnl
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning.
IEEE Trans. Evol. Comput.
Wenbin Pei, Yuyang Cui, Bing Xue, Mengjie Zhang, Jiqing Zhang, Yaqing Hou, Guangyu Zou, Qiang Zhang
2025 — conf
Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming.
GECCO Companion
Zhixing Huang, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen
2025 J jnl
Efficient perturbation-aware distinguishing score for zero-shot neural architecture search.
Appl. Soft Comput.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
2025 — conf
Evolutionary Computation for Feature Selection and Feature Construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2025 J jnl
Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation.
IEEE Trans. Evol. Comput.
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2025 J jnl
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2025 J jnl
Evolutionary Sparsity Regularisation-Based Feature Selection for Binary Classification.
Evol. Comput.
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2025 J jnl
Evolutionary neural architecture search for automatically designing CNN-GRU-Attention neural networks for turntable servo systems.
Expert Syst. Appl.
Cheng Xie, Bing Xue, Mingyi Yang, Mengjie Zhang, Zhigang Xu, Junyi Wang, Songlin Chen, Yang Liu
2025 A conf
Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search.
GECCO
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
2025 J jnl
Evolving temporal convolutional neural networks for modeling turntable servo systems.
Appl. Soft Comput.
Cheng Xie, Bing Xue, Mengjie Zhang, Songlin Chen, Yang Liu
2025 J jnl
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations.
IEEE Trans. Emerg. Top. Comput. Intell.
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2025 — conf
Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming.
EvoApplications (2)
Wenlong Fu, Qi Chen, Bing Xue, Mengjie Zhang
2025 J jnl
Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler
2025 B conf
Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images.
CEC
Jigang Fan, Ying Bi, Bing Xue, Mengjie Zhang
2025 B conf
From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation.
PRICAI
Zhenshou Song, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel Killeen
2025 J jnl
Generalization Evaluation of Deep Stereo Matching Methods for UAV-Based Forestry Applications.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2025 J jnl
Genetic Algorithms For Parameter Optimization for Disparity Map Generation of Radiata Pine Branch Images.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2025 B ed.
Genetic Programming - 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings
EuroGP
Bing Xue, Luca Manzoni, Illya Bakurov
2025 J jnl
Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification.
IEEE Trans. Evol. Comput.
Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang
2025 B conf
Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis.
CEC
Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen
2025 J jnl
Graph Neural Network-Based Surrogate Model for Evolutionary Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst.
Yu Xue, Xiaolei Zhang, Ferrante Neri, Bing Xue, Mengjie Zhang
2025 J jnl
Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection.
Data Sci. Eng.
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025 J jnl
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression.
CoRR
Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang
2025 J jnl
Listwise ranking predictor for evolutionary neural architecture search.
Swarm Evol. Comput.
Nan Li, Lianbo Ma, Rui Wang, Shi Cheng, Yanan Sun, Bing Xue, Mengjie Zhang
2025 B conf
Local Context-Aware Buoyancy Prediction for Mussel Farm Floats.
PRICAI
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
2025 J jnl
Meta-Learning Adaptive Loss Functions.
Trans. Mach. Learn. Res.
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2025 B conf
Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression.
EuroGP
Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton, Mengjie Zhang
2025 J jnl
Multi-objective genetic programming based on decomposition for feature learning in image classification.
Swarm Evol. Comput.
Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
2025 B conf
Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis.
CEC
Yuye Zhang, Fangfang Zhang, Bing Xue, Mengjie Zhang
2025 J jnl
Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang
2025 B conf
Multitree GP-Based Feature Learning for Multimodal Medical Image Classification.
CEC
Zhicheng Wu, Bing Xue, Mengjie Zhang
2025 J jnl
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification.
IEEE Trans. Evol. Comput.
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2025 J jnl
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator.
Swarm Evol. Comput.
Huixiang Zhen, Bing Xue, Wenyin Gong, Mengjie Zhang, Ling Wang
2025 B conf
Partial Multi-label Feature Selection Based on Matrix Elastic-Net.
PRICAI
Hao Xie, Ivy Liu, Bing Xue, Mengjie Zhang
2025 — conf
Particle Swarm Optimization for Automating Prompt Optimization in Large Language Models on Text Classification and Generation Tasks.
GECCO Companion
Linsen Li, Bin Wang, Bing Xue, Mengjie Zhang
2025 J jnl
Performance Evaluation of Deep Learning for Tree Branch Segmentation in Autonomous Forestry Systems.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2025 J jnl
Probe Population-Based Initialization and Genetic Pool-Based Reproduction for Evolutionary Bi-Objective Feature Selection.
IEEE Trans. Evol. Comput.
Hang Xu, Bing Xue, Mengjie Zhang
2025 A* conf
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression.
ICLR
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025 J jnl
Regularized multi-task learning with individual-feature-based task correlations for Alzheimer's cognitive score prediction.
Comput. Methods Programs Biomed.
Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang
2025 B conf
Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression.
CEC
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025 J jnl
Semantics-guided multi-task genetic programming for multi-output regression.
Pattern Recognit.
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025 J jnl
Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design.
CoRR
Yuchen Li, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin
2025 B conf
Solving Multimodal Multi-objective Optimization Problems in Limited Time.
CEC
Fei Ming, Bing Xue, Wenyin Gong, Mengjie Zhang
2025 J jnl
Sparse Learning-Based Feature Selection in Classification: A Multi-Objective Perspective.
IEEE Trans. Emerg. Top. Comput. Intell.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2025 J jnl
Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives.
CoRR
Zhixing Huang, Bing Xue, Mengjie Zhang, Jeremy S. Ronney, Keith C. Gordon, Daniel P. Killeen
2025 A* conf
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS.
IJCAI
Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang
2025 — conf
When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification.
GECCO Companion
Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton
2025 J jnl
YOLO and SGBM Integration for Autonomous Tree Branch Detection and Depth Estimation in Radiata Pine Pruning Applications.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2024 J jnl
A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection.
IEEE Trans. Emerg. Top. Comput. Intell.
Hang Xu, Bing Xue, Mengjie Zhang
2024 J jnl
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang
2024 J jnl
A Consistent Lebesgue Measure for Multi-label Learning.
CoRR
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024 J jnl
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection.
IEEE Trans. Evol. Comput.
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024 J jnl
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification.
IEEE Trans. Evol. Comput.
Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang
2024 J jnl
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification.
IEEE Trans. Evol. Comput.
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2024 J jnl
A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification.
IEEE Trans. Artif. Intell.
Emrah Hancer, Bing Xue, Mengjie Zhang
2024 J jnl
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification.
IEEE Trans. Evol. Comput.
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2024 J jnl
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang
2024 B conf
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression.
CEC
Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang
2024 A conf
A Phenotypic Learning Classifier System for Problems with Continuous Features.
GECCO
Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng
2024 J jnl
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 — conf
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press].
GECCO Companion
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges.
IEEE Trans. Evol. Comput.
Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024 J jnl
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
IEEE Trans. Evol. Comput.
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang
2024 J jnl
A Tri-Objective Method for Bi-Objective Feature Selection in Classification.
Evol. Comput.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2024 J jnl
A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation.
IEEE Trans. Evol. Comput.
Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, Bin Zhang
2024 J jnl
A genetic programming-based method for image classification with small training data.
Knowl. Based Syst.
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2024 J jnl
A geometric semantic macro-crossover operator for evolutionary feature construction in regression.
Genet. Program. Evolvable Mach.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
An evolutionary neural architecture search method based on performance prediction and weight inheritance.
Inf. Sci.
Gonglin Yuan, Bing Xue, Mengjie Zhang
2024 B conf
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search.
CEC
Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
2024 Misc conf
Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection.
IVCNZ
Qinglan Fan, Ying Bi, Bing Xue, Jane E. Symonds, Lauren M. Fletcher, Mengjie Zhang
2024 J jnl
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection.
IEEE Comput. Intell. Mag.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2024 J jnl
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection.
IEEE Trans. Evol. Comput.
Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang
2024 J jnl
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin
2024 A conf
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression.
GECCO
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
Constrained Multiobjective Optimization via Relaxations on Both Constraints and Objectives.
IEEE Trans. Artif. Intell.
Fei Ming, Bing Xue, Mengjie Zhang, Wenyin Gong, Huixiang Zhen
2024 — conf
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification.
GECCO Companion
Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
2024 Misc conf
Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring.
IVCNZ
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
2024 Misc conf
Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision.
IVCNZ
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2024 B conf
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming.
CEC
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2024 J jnl
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Integrating SGBM and Segmentation Models.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2024 J jnl
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration.
CoRR
Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green
2024 J jnl
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection.
IEEE Comput. Intell. Mag.
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024 A conf
EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation.
GECCO
Jiahong Wei, Bing Xue, Mengjie Zhang
2024 B conf
Evaluating Machine Learning Techniques for Predicting Salinity.
CEC
Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang
2024 J jnl
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning.
CoRR
Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-ming Cheung, Shuyin Xia
2024 — conf
Evolutionary Computation for Feature Selection and Feature Construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2024 J jnl
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
2024 B conf
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms.
CEC
Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
2024 B conf
Evolutionary Label Selection for Multi-label Classification.
CEC
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024 J jnl
Evolutionary Multitasking for Multiobjective Feature Selection in Classification.
IEEE Trans. Evol. Comput.
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2024 — conf
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection.
GECCO Companion
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024 J jnl
Explaining Genetic Programming Trees using Large Language Models.
CoRR
Paula Maddigan, Andrew Lensen, Bing Xue
2024 B conf
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images.
CEC
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2024 J jnl
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning.
CoRR
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2024 A conf
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach.
GECCO
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2024 J jnl
Federated Unlearning Model Recovery in Data with Skewed Label Distributions.
CoRR
Xinrui Yu, Wenbin Pei, Bing Xue, Qiang Zhang
2024 B ed.
Genetic Programming - 27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings
EuroGP
Mario Giacobini, Bing Xue, Luca Manzoni
2024 J jnl
Genetic Programming for Document Classification: A Transductive Transfer Learning System.
IEEE Trans. Cybern.
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
2024 J jnl
Genetic Programming for Explainable Manifold Learning.
CoRR
Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue
2024 J jnl
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression.
IEEE Trans. Emerg. Top. Comput. Intell.
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2024 — conf
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data.
EvoApplications@EvoStar
Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang
2024 B conf
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis.
CEC
Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang
2024 J jnl
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification.
IEEE Trans. Evol. Comput.
Ying Bi, Bing Xue, Mengjie Zhang
2024 Misc conf
Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images.
IVCNZ
Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang
2024 J jnl
Guest Editorial Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput.
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2024 J jnl
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing.
IEEE Trans. Geosci. Remote. Sens.
Shihui Liu, Meiping Song, Bing Xue, Chein-I Chang, Mengjie Zhang
2024 B conf
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression.
EuroGP
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 B conf
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data.
CEC
Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2024 — conf
Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis.
ICONIP (4)
Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2024 J jnl
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis.
CoRR
Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2024 J jnl
Meta-Learning Neural Procedural Biases.
CoRR
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2024 J jnl
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 — conf
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression.
GECCO Companion
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2024 J jnl
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data.
IEEE Trans. Cybern.
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2024 — conf
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization.
PPSN (1)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy.
IEEE Trans. Evol. Comput.
Gonglin Yuan, Bin Wang, Bing Xue, Mengjie Zhang
2024 J jnl
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization.
Memetic Comput.
Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue
2024 J jnl
SALENet: Structure-Aware Lighting Estimations From a Single Image for Indoor Environments.
IEEE Trans. Image Process.
Junhong Zhao, Bing Xue, Mengjie Zhang
2024 J jnl
SGformer: Boosting transformers for indoor lighting estimation from a single image.
Comput. Vis. Media
Junhong Zhao, Bing Xue, Mengjie Zhang
2024 J jnl
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
2024 J jnl
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression.
CoRR
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling.
IEEE Trans. Evol. Comput.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2024 J jnl
Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance.
IEEE Trans. Neural Networks Learn. Syst.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
2024 J jnl
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues.
ACM Comput. Surv.
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
2023 A conf
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression.
GECCO
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 J jnl
A Multiform Optimization Framework for Constrained Multiobjective Optimization.
IEEE Trans. Cybern.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2023 — conf
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection.
GECCO Companion
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2023 Misc conf
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images.
IVCNZ
Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang
2023 J jnl
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends.
IEEE Trans. Evol. Comput.
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
2023 J jnl
A Survey on Evolutionary Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst.
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan
2023 — conf
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification.
EvoApplications@EvoStar
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2023 — conf
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems.
GECCO Companion
Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng
2023 A conf
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification.
GECCO
Gonglin Yuan, Bing Xue, Mengjie Zhang
2023 Misc conf
An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery.
IVCNZ
Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler
2023 J jnl
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios.
Knowl. Based Syst.
Emrah Hancer, Bing Xue, Mengjie Zhang
2023 — conf
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction.
PRICAI (2)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 J jnl
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming.
IEEE Trans. Cybern.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2023 J jnl
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach.
IEEE Trans. Cybern.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2023 Misc conf
Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming.
IVCNZ
Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell, Mengjie Zhang
2023 A conf
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO.
GECCO
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2023 J jnl
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Cuie Yang, Yiu-ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang
2023 — conf
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection.
INNS DLIA@IJCNN
David Knox, Bing Xue, Mengjie Zhang
2023 J jnl
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2023 J jnl
Differential Evolution With Duplication Analysis for Feature Selection in Classification.
IEEE Trans. Cybern.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2023 J jnl
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach.
IEEE Trans. Evol. Comput.
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
2023 — conf
Evolutionary Computation for Feature Selection and Feature Construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2023 J jnl
Explainable Artificial Intelligence by Genetic Programming: A Survey.
IEEE Trans. Evol. Comput.
Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
2023 A conf
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning.
GECCO
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2023 J jnl
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution.
Inf. Sci.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2023 J jnl
Feature clustering-Assisted feature selection with differential evolution.
Pattern Recognit.
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
2023 J jnl
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse.
IEEE Trans. Evol. Comput.
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2023 B conf
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging.
ACIVS
Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas
2023 — conf
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press].
GECCO Companion
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
2023 J jnl
Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning.
IEEE Trans. Syst. Man Cybern. Syst.
Qinge Xiao, Ben Niu, Bing Xue, Luoke Hu
2023 Misc conf
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation.
IVCNZ
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
2023 J jnl
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation.
CoRR
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
2023 J jnl
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification.
IEEE Trans. Cybern.
Ying Bi, Bing Xue, Mengjie Zhang
2023 Misc conf
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary.
IVCNZ
Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
2023 J jnl
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2023 J jnl
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained].
IEEE Comput. Intell. Mag.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 B conf
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning.
EuroGP
Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 Misc conf
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks.
IVCNZ
David Knox, Bing Xue, Mengjie Zhang, Jeromy Cuff
2023 — conf
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation.
GECCO Companion
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
2023 J jnl
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes.
Inf. Sci.
An-Da Li, Bing Xue, Mengjie Zhang
2023 J jnl
Multiobjective Differential Evolution for Feature Selection in Classification.
IEEE Trans. Cybern.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2023 J jnl
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification.
IEEE Trans. Cybern.
Ying Bi, Bing Xue, Mengjie Zhang
2023 J jnl
Online Loss Function Learning.
CoRR
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2023 J jnl
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification.
IEEE Trans. Evol. Comput.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
2023 Misc conf
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels.
IVCNZ
Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes, Cris Lovell-Smith
2023 A conf
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling.
GECCO
Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 Misc conf
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
AusDM
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2023 Misc conf
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming.
AusDM
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2022 — conf
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification.
ICDM (Workshops)
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2022 B conf
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment.
EvoApplications
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang
2022 J jnl
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends.
CoRR
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
2022 J jnl
A Survey on Fault Diagnosis of Rolling Bearings.
Algorithms
Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan
2022 — conf
A comparison of rule compaction algorithms for michigan style learning classifier systems.
GECCO Companion
Yi Liu, Will N. Browne, Bing Xue
2022 J jnl
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks.
CoRR
Bin Wang, Bing Xue, Mengjie Zhang
2022 J jnl
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification.
IEEE Trans. Cybern.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2022 J jnl
An Object-Based Genetic Programming Approach for Cropland Field Extraction.
Remote. Sens.
Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu
2022 J jnl
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures.
IEEE Trans. Artif. Intell.
Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv
2022 Misc conf
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.
AI
Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen
2022 — conf
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation.
SSCI
Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang
2022 J jnl
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput.
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
2022 J jnl
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization.
IEEE Trans. Evol. Comput.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2022 J jnl
Dual-Tree Genetic Programming for Few-Shot Image Classification.
IEEE Trans. Evol. Comput.
Ying Bi, Bing Xue, Mengjie Zhang
2022 Misc conf
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.
AI
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
2022 J jnl
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization.
IEEE Trans. Evol. Comput.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2022 — conf
Evolutionary computation for feature selection and feature construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2022 Misc conf
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.
AI
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2022 Misc conf
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation.
IVCNZ
Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler
2022 J jnl
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations.
CoRR
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2022 J jnl
Feature fusion and kernel selective in Inception-v4 network.
Appl. Soft Comput.
Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang
2022 J jnl
Fuzzy filter cost-sensitive feature selection with differential evolution.
Knowl. Based Syst.
Emrah Hancer, Bing Xue, Mengjie Zhang
2022 B ed.
Genetic Programming - 25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings
EuroGP
Eric Medvet, Gisele L. Pappa, Bing Xue
2022 J jnl
Genetic Programming for High-Level Feature Learning in Crop Classification.
Remote. Sens.
Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu
2022 J jnl
Genetic Programming for Instance Transfer Learning in Symbolic Regression.
IEEE Trans. Cybern.
Qi Chen, Bing Xue, Mengjie Zhang
2022 J jnl
Genetic Programming for Manifold Learning: Preserving Local Topology.
IEEE Trans. Evol. Comput.
Andrew Lensen, Bing Xue, Mengjie Zhang
2022 J jnl
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification.
IEEE Trans. Cybern.
Ying Bi, Bing Xue, Mengjie Zhang
2022 J jnl
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification.
CoRR
Ying Bi, Bing Xue, Mengjie Zhang
2022 J jnl
Genetic programming for automatic skin cancer image classification.
Expert Syst. Appl.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2022 J jnl
Genetic programming for feature extraction and construction in image classification.
Appl. Soft Comput.
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2022 Misc conf
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification.
AI
Ruwang Jiao, Bing Xue, Mengjie Zhang
2022 J jnl
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2022 J jnl
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization.
IEEE Trans. Evol. Comput.
Ruwang Jiao, Bing Xue, Mengjie Zhang
2022 — conf
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection.
SSCI
Yan Lu, Bach Hoai Nguyen, Bing Xue
2022 — conf
Learning CNN architecture for multi-view text classification using genetic algorithms.
SSCI
Finn Sargisson, Xiaoying Gao, Bing Xue
2022 J jnl
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning.
CoRR
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2022 J jnl
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
IEEE Trans. Evol. Comput.
Ying Bi, Bing Xue, Mengjie Zhang
2022 B conf
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression.
EuroGP
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2022 — conf
Multi-task optimisation for multi-objective feature selection in classification.
GECCO Companion
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2022 Misc conf
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers.
AI
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
2022 — conf
Particle swarm optimisation for sparsity-based feature selection in multi-label classification.
GECCO Companion
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2022 J jnl
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression.
IEEE Trans. Cybern.
Qi Chen, Bing Xue, Mengjie Zhang
2022 J jnl
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Bin Wang, Bing Xue, Mengjie Zhang
2022 J jnl
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues.
CoRR
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
2022 J jnl
Token replacement-based data augmentation methods for hate speech detection.
World Wide Web
Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue
2022 J jnl
Using a small number of training instances in genetic programming for face image classification.
Inf. Sci.
Ying Bi, Bing Xue, Mengjie Zhang
2022 J jnl
Visualizations for rule-based machine learning.
Nat. Comput.
Yi Liu, Will N. Browne, Bing Xue
2021 J jnl
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization.
ACM Trans. Evol. Learn. Optim.
Yi Liu, Will N. Browne, Bing Xue
2021 J jnl
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification.
IEEE Trans. Evol. Comput.
Ying Bi, Bing Xue, Mengjie Zhang
2021 J jnl
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection.
IEEE Trans. Evol. Comput.
Hang Xu, Bing Xue, Mengjie Zhang
2021 B conf
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design.
CEC
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
2021 B conf
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification.
CEC
An-Da Li, Bing Xue, Mengjie Zhang
2021 B conf
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification.
CEC
Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang
2021 J jnl
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation.
IEEE Trans. Cybern.
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2021 J jnl
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation.
IEEE Trans. Cybern.
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2021 — conf
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification.
PRICAI (1)
Gonglin Yuan, Bing Xue, Mengjie Zhang
2021 J jnl
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Soft Comput.
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2021 — conf
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks.
GECCO Companion
Bin Wang, Bing Xue, Mengjie Zhang
2021 J jnl
An automatic feature construction method for salient object detection: A genetic programming approach.
Expert Syst. Appl.
Shima Afzali Vahed Moghaddam, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang
2021 — conf
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector.
ICDM (Workshops)
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021 J jnl
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis.
IEEE Trans. Cybern.
Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie Zhang
2021 J jnl
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances.
Evol. Comput.
Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mengjie Zhang
2021 B conf
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification.
CEC
Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang
2021 J jnl
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search.
CoRR
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
2021 B conf
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems.
CEC
Arka Ghosh, Bing Xue, Mengjie Zhang
2021 Misc conf
Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks.
IVCNZ
Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang
2021 Misc conf
Deep Convolutional Neural Networks for Fish Weight Prediction from Images.
IVCNZ
Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, Mengjie Zhang, Maren Wellenreuther
2021 — conf
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms.
SSCI
Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang
2021 J jnl
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 J jnl
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks.
IEEE Trans. Evol. Comput.
Damien O'Neill, Bing Xue, Mengjie Zhang
2021 — conf
Evolutionary computation for feature selection and feature construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2021 B conf
Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches.
CEC
Hayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao, Bing Xue
2021 — conf
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification.
GECCO Companion
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2021 B conf
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data.
CEC
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2021 J jnl
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection.
IEEE Trans. Emerg. Top. Comput. Intell.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2021 B conf
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products.
CEC
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang
2021 J jnl
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification.
IEEE Trans. Evol. Comput.
Ying Bi, Bing Xue, Mengjie Zhang
2021 J jnl
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification.
IEEE Trans. Cybern.
Ying Bi, Bing Xue, Mengjie Zhang
2021 B conf
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms.
CEC
Hayden Andersen, Andrew Lensen, Bing Xue
2021 J jnl
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization.
IEEE Trans. Cybern.
Andrew Lensen, Bing Xue, Mengjie Zhang
2021 J jnl
Genetic Programming for Manifold Learning: Preserving Local Topology.
CoRR
Andrew Lensen, Bing Xue, Mengjie Zhang
2021 B conf
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction.
CEC
Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang
2021 A conf
Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
GECCO
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 J jnl
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 — conf
Genetic programming with a new representation and a new mutation operator for image classification.
GECCO Companion
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
2021 J jnl
Guest Editorial Evolutionary Computation Meets Deep Learning.
IEEE Trans. Evol. Comput.
Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue
2021 B conf
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification.
EvoApplications
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2021 J jnl
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies.
Appl. Soft Comput.
An-Da Li, Bing Xue, Mengjie Zhang
2021 — conf
MGEoT: A Multi-grained Ensemble Method for Time Series Classification.
PRICAI (1)
Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue
2021 J jnl
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes].
IEEE Comput. Intell. Mag.
Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan
2021 — conf
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification.
ICDM (Workshops)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021 B conf
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation.
CEC
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021 J jnl
Multi-objective genetic programming for feature learning in face recognition.
Appl. Soft Comput.
Ying Bi, Bing Xue, Mengjie Zhang
2021 — conf
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation.
GECCO Companion
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2021 J jnl
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data.
IEEE Trans. Evol. Comput.
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2021 J jnl
Output-based transfer learning in genetic programming for document classification.
Knowl. Based Syst.
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
2021 B conf
Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data.
CEC
Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang
2021 J jnl
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression.
IEEE Trans. Evol. Comput.
Qi Chen, Bing Xue, Mengjie Zhang
2021 — conf
Sparsity-based evolutionary multi-objective feature selection for multi-label classification.
GECCO Companion
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021 J jnl
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features.
Appl. Soft Comput.
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
2021 B conf
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles.
CEC
Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2021 — conf
What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task.
PRICAI (2)
Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue
2020 B conf
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
CEC
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020 — conf
A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection.
SSCI
Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue
2020 Misc conf
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
IVCNZ
Gonglin Yuan, Bing Xue, Mengjie Zhang
2020 — conf
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection.
SSCI
Inti Mateus Resende Albuquerque, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020 B conf
A Region Adaptive Image Classification Approach Using Genetic Programming.
CEC
Qinglan Fan, Bing Xue, Mengjie Zhang
2020 J jnl
A Survey on Evolutionary Neural Architecture Search.
CoRR
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2020 B conf
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
CEC
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 A conf
A genetic programming approach to feature construction for ensemble learning in skin cancer detection.
GECCO
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2020 — conf
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
GECCO Companion
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 J jnl
A survey on feature selection approaches for clustering.
Artif. Intell. Rev.
Emrah Hancer, Bing Xue, Mengjie Zhang
2020 J jnl
A survey on swarm intelligence approaches to feature selection in data mining.
Swarm Evol. Comput.
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020 A conf
Absumption and subsumption based learning classifier systems.
GECCO
Yi Liu, Will N. Browne, Bing Xue
2020 A conf
Adaptive weighted splines: a new representation to genetic programming for symbolic regression.
GECCO
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2020 B conf
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.
CEC
Benjamin P. Evans, Bing Xue, Mengjie Zhang
2020 J jnl
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.
CoRR
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang
2020 J jnl
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].
IEEE Comput. Intell. Mag.
Ying Bi, Bing Xue, Mengjie Zhang
2020 J jnl
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
IEEE Trans. Cybern.
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv
2020 — conf
Automatically extracting features for face classification using multi-objective genetic programming.
GECCO Companion
Ying Bi, Bing Xue, Mengjie Zhang
2020 J jnl
Completely Automated CNN Architecture Design Based on Blocks.
IEEE Trans. Neural Networks Learn. Syst.
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2020 — conf
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study.
SSCI
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 — conf
Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language.
WI/IAT
Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue
2020 — conf
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble.
SSCI
Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2020 — conf
Evolutionary computation for feature selection and feature construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2020 J jnl
Evolving Character-level Convolutional Neural Networks for Text Classification.
CoRR
Trevor Londt, Xiaoying Gao, Bing Xue, Peter Andreae
2020 B conf
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising.
IJCNN
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang
2020 J jnl
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising.
CoRR
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang
2020 J jnl
Evolving Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput.
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2020 — conf
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming.
PPSN (1)
Ying Bi, Bing Xue, Mengjie Zhang
2020 B conf
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm.
CEC
Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2020 — conf
Evolving network structures for text classification using genetic algorithms.
GECCO Companion
Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang
2020 — conf
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
SSCI
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 — conf
GPCNN: Evolving Convolutional Neural Networks using Genetic Programming.
SSCI
Abigail McGhie, Bing Xue, Mengjie Zhang
2020 J jnl
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evol. Comput.
Andrew Lensen, Bing Xue, Mengjie Zhang
2020 J jnl
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.
CoRR
Andrew Lensen, Bing Xue, Mengjie Zhang
2020 B conf
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
CEC
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 B conf
Genetic Programming-Based Feature Learning for Facial Expression Classification.
CEC
Ying Bi, Bing Xue, Mengjie Zhang
2020 — conf
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values.
Australasian Conference on Artificial Intelligence
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 J jnl
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 J jnl
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence.
Genet. Program. Evolvable Mach.
Andrea De Lorenzo, Alberto Bartoli, Mauro Castelli, Eric Medvet, Bing Xue
2020 B conf
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
EuroGP
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 B conf
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
CEC
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2020 — conf
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection.
SSCI
Wenxin Zhao, Yanan Sun, Bing Xue
2020 A conf
Improving generalisation of AutoML systems with dynamic fitness evaluations.
GECCO
Benjamin P. Evans, Bing Xue, Mengjie Zhang
2020 J jnl
Improving generalisation of AutoML systems with dynamic fitness evaluations.
CoRR
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang
2020 A conf
Improving symbolic regression based on correlation between residuals and variables.
GECCO
Qi Chen, Bing Xue, Mengjie Zhang
2020 — conf
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets.
WOAH
Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue
2020 J jnl
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
CoRR
Ying Bi, Bing Xue, Mengjie Zhang
2020 J jnl
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality.
CoRR
Andrew Lensen, Mengjie Zhang, Bing Xue
2020 B conf
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
CEC
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 J jnl
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection.
Inf. Sci.
An-Da Li, Bing Xue, Mengjie Zhang
2020 J jnl
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genet. Program. Evolvable Mach.
Andrew Lensen, Mengjie Zhang, Bing Xue
2020 A conf
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data.
GECCO
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020 J jnl
Multiobjective Multitasking Optimization Based on Incremental Learning.
IEEE Trans. Evol. Comput.
Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu
2020 J jnl
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms.
IEEE Trans. Evol. Comput.
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang
2020 A conf
Neural architecture search for sparse DenseNets with dynamic compression.
GECCO
Damien O'Neill, Bing Xue, Mengjie Zhang
2020 J jnl
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
2020 — ch.
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches.
Deep Neural Evolution
Bin Wang, Bing Xue, Mengjie Zhang
2020 B conf
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
CEC
Bin Wang, Bing Xue, Mengjie Zhang
2020 A conf
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection.
GECCO
Hang Xu, Bing Xue, Mengjie Zhang
2020 J jnl
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.
Appl. Soft Comput.
Stefano Cagnoni, Harith Al-Sahaf, Yanan Sun, Bing Xue, Mengjie Zhang
2020 J jnl
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput.
Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang
2020 J jnl
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification.
CoRR
Bin Wang, Bing Xue, Mengjie Zhang
2019 — conf
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
SSCI
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang
2019 — conf
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry.
ACPR (2)
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng
2019 — conf
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
SSCI
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019 B conf
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.
CEC
William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang
2019 — conf
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
PRICAI (3)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2019 J jnl
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
CoRR
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2019 J jnl
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.
Evol. Comput.
Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang
2019 J jnl
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2019 J jnl
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2019 A conf
Absumption to complement subsumption in learning classifier systems.
GECCO
Yi Liu, Will N. Browne, Bing Xue
2019 A conf
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
GECCO
Binh Tran, Bing Xue, Mengjie Zhang
2019 B conf
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification.
CEC
Ying Bi, Bing Xue, Mengjie Zhang
2019 A conf
An automated ensemble learning framework using genetic programming for image classification.
GECCO
Ying Bi, Bing Xue, Mengjie Zhang
2019 B conf
Blocky Net: A New NeuroEvolution Method.
CEC
Thomas Watts, Bing Xue, Mengjie Zhang
2019 B conf
Can Genetic Programming Do Manifold Learning Too?
EuroGP
Andrew Lensen, Bing Xue, Mengjie Zhang
2019 J jnl
Can Genetic Programming Do Manifold Learning Too?
CoRR
Andrew Lensen, Bing Xue, Mengjie Zhang
2019 — conf
Differential evolution for instance based transfer learning in genetic programming for symbolic regression.
GECCO (Companion)
Qi Chen, Bing Xue, Mengjie Zhang
2019 B conf
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition.
CEC
Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2019 J jnl
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification.
CoRR
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2019 A conf
Evolving deep neural networks by multi-objective particle swarm optimization for image classification.
GECCO
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2019 B conf
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm.
EvoApplications
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng
2019 J jnl
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm.
CoRR
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng
2019 J jnl
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification.
CoRR
Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2019 B conf
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning.
CEC
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
2019 J jnl
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
CoRR
Andrew Lensen, Bing Xue, Mengjie Zhang
2019 B conf
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection.
EvoApplications
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang
2019 — conf
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Australasian Conference on Artificial Intelligence
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019 Misc conf
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification.
IVCNZ
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2019 B conf
Genetic Programming with Rademacher Complexity for Symbolic Regression.
CEC
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2019 — conf
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data.
ACPR (2)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019 J jnl
Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognit.
Binh Tran, Bing Xue, Mengjie Zhang
2019 J jnl
Genetic programming with transfer learning for texture image classification.
Soft Comput.
Muhammad Iqbal, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2019 J jnl
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators.
IEEE Trans. Evol. Comput.
Qi Chen, Bing Xue, Mengjie Zhang
2019 — conf
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.
PRICAI (3)
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng
2019 J jnl
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.
CoRR
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng
2019 B conf
Instance based Transfer Learning for Genetic Programming for Symbolic Regression.
CEC
Qi Chen, Bing Xue, Mengjie Zhang
2019 B conf
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming.
CEC
Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng
2019 — conf
Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms.
SSCI
Juhini Desai, Bach Hoai Nguyen, Bing Xue
2019 B conf
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data.
CEC
Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue
2019 — conf
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms.
Australasian Conference on Artificial Intelligence
Juhini Desai, Bach Hoai Nguyen, Bing Xue
2019 B conf
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection.
CEC
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2019 B conf
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
CEC
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2019 J jnl
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
CoRR
Bin Wang, Bing Xue, Mengjie Zhang
2019 A conf
Population-based ensemble classifier induction for domain adaptation.
GECCO
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae
2019 — conf
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
GECCO (Companion)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2019 J jnl
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification.
ACM Trans. Knowl. Discov. Data
Yu Xue, Bing Xue, Mengjie Zhang
2019 J jnl
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression.
IEEE Trans. Evol. Comput.
Qi Chen, Mengjie Zhang, Bing Xue
2019 Misc conf
The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets.
IVCNZ
Damien O'Neill, Bing Xue, Mengjie Zhang
2019 — conf
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression.
GECCO (Companion)
Brandon Muller, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2019 J jnl
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification.
IEEE Trans. Evol. Comput.
Binh Tran, Bing Xue, Mengjie Zhang
2019 A conf
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models.
GECCO
Benjamin P. Evans, Bing Xue, Mengjie Zhang
2018 — conf
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification.
Australasian Conference on Artificial Intelligence
Ying Bi, Bing Xue, Mengjie Zhang
2018 — conf
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection.
Australasian Conference on Artificial Intelligence
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang
2018 — conf
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
Australasian Conference on Artificial Intelligence
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2018 J jnl
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
CoRR
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2018 — conf
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values.
Australasian Conference on Artificial Intelligence
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2018 — conf
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features.
Australasian Conference on Artificial Intelligence
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2018 J jnl
A New Representation in PSO for Discretization-Based Feature Selection.
IEEE Trans. Cybern.
Binh Tran, Bing Xue, Mengjie Zhang
2018 A conf
A particle swarm optimization based feature selection approach to transfer learning in classification.
GECCO
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2018 — ed.
AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings
Australasian Conference on Artificial Intelligence
Tanja Mitrovic, Bing Xue, Xiaodong Li
2018 B conf
Adapting Bagging and Boosting to Learning Classifier Systems.
EvoApplications
Yi Liu, Will N. Browne, Bing Xue
2018 B conf
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming.
EvoApplications
Ying Bi, Bing Xue, Mengjie Zhang
2018 B conf
An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders.
CEC
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2018 J jnl
An effective and efficient approach to classification with incomplete data.
Knowl. Based Syst.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui
2018 J jnl
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.
CoRR
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
2018 J jnl
Automatically Evolving CNN Architectures Based on Blocks.
CoRR
Yanan Sun, Bing Xue, Mengjie Zhang
2018 A conf
Automatically evolving difficult benchmark feature selection datasets with genetic programming.
GECCO
Andrew Lensen, Bing Xue, Mengjie Zhang
2018 — conf
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study.
Australasian Conference on Artificial Intelligence
Damien O'Neill, Bing Xue, Mengjie Zhang
2018 J jnl
Differential evolution for filter feature selection based on information theory and feature ranking.
Knowl. Based Syst.
Emrah Hancer, Bing Xue, Mengjie Zhang
2018 B conf
Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification.
CEC
Benjamin P. Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2018 — conf
Evolutionary computation for feature selection and feature construction.
GECCO (Companion)
Bing Xue, Mengjie Zhang
2018 B conf
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.
CEC
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2018 J jnl
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification.
CoRR
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
2018 J jnl
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes].
IEEE Comput. Intell. Mag.
Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston
2018 — conf
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms.
IDEAL (2)
Antonio J. Tallón-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto
2018 Misc conf
Featuring the Attributes in Supervised Machine Learning.
HAIS
Antonio J. Tallón-Ballesteros, Luís Correia, Bing Xue
2018 Misc conf
Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection.
IVCNZ
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang
2018 J jnl
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming.
CoRR
Andrew Lensen, Bing Xue, Mengjie Zhang
2018 B conf
Generating Redundant Features with Unsupervised Multi-tree Genetic Programming.
EuroGP
Andrew Lensen, Bing Xue, Mengjie Zhang
2018 — conf
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Australasian Conference on Artificial Intelligence
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2018 B conf
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification.
CEC
Ying Bi, Mengjie Zhang, Bing Xue
2018 — conf
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification.
PRICAI (1)
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2018 B conf
Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification.
CEC
Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng
2018 — conf
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Australasian Conference on Artificial Intelligence
Cao Truong Tran, Mengjie Zhang, Bing Xue, Peter Andreae
2018 — conf
Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches.
Australasian Conference on Artificial Intelligence
Yi Liu, Will N. Browne, Bing Xue
2018 J jnl
Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui
2018 — conf
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes.
ICONIP (2)
Zeyu Mi, Lin Shang, Bing Xue
2018 J jnl
PSO with surrogate models for feature selection: static and dynamic clustering-based methods.
Memetic Comput.
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2018 J jnl
Pareto front feature selection based on artificial bee colony optimization.
Inf. Sci.
Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay
2018 B conf
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.
CEC
Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang
2018 B conf
Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining.
CEC
Xiaohan Bai, Xiaoying Gao, Bing Xue
2018 — conf
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy.
Australasian Conference on Artificial Intelligence
Ke Chen, Fengyu Zhou, Bing Xue
2017 — conf
A Hybrid GA-GP Method for Feature Reduction in Classification.
SEAL
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2017 — conf
A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.
SEAL
Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2017 J jnl
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.
CoRR
Yanan Sun, Bing Xue, Mengjie Zhang
2017 — conf
A classification method based on self-adaptive artificial bee colony.
SSCI
Yu Xue, Jiongming Jiang, Bing Xue, Mengjie Zhang
2017 — conf
A differential evolution based feature selection approach using an improved filter criterion.
SSCI
Emrah Hancer, Bing Xue, Mengjie Zhang
2017 — conf
A supervised feature weighting method for salient object detection using particle swarm optimization.
SSCI
Shima Afzali, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2017 J jnl
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell.
Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang
2017 Misc conf
An automatic region detection and processing approach in genetic programming for binary image classification.
IVCNZ
Ying Bi, Mengjie Zhang, Bing Xue
2017 — conf
Automatic Feature Construction for Network Intrusion Detection.
SEAL
Binh Tran, Stjepan Picek, Bing Xue
2017 J jnl
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Trans. Evol. Comput.
Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, Mengjie Zhang
2017 — conf
Bagging and Feature Selection for Classification with Incomplete Data.
EvoApplications (1)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2017 — conf
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data.
Australasian Conference on Artificial Intelligence
Binh Tran, Bing Xue, Mengjie Zhang
2017 B conf
Common subtrees in related problems: A novel transfer learning approach for genetic programming.
CEC
Damien O'Neill, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2017 J jnl
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Trans. Evol. Comput.
Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2017 J jnl
Evolving Deep Convolutional Neural Networks for Image Classification.
CoRR
Yanan Sun, Bing Xue, Mengjie Zhang
2017 — conf
Evolving texture image descriptors using a multitree genetic programming representation.
GECCO (Companion)
Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2017 J jnl
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
IEEE Trans. Evol. Comput.
Qi Chen, Mengjie Zhang, Bing Xue
2017 A conf
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
GECCO
Andrew Lensen, Bing Xue, Mengjie Zhang
2017 — conf
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Australasian Conference on Artificial Intelligence
Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang
2017 A conf
Genetic programming based feature construction for classification with incomplete data.
GECCO
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2017 B conf
Genetic programming for skin cancer detection in dermoscopic images.
CEC
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
2017 B conf
Genetic programming for solving common and domain-independent generic recursive problems.
CEC
Tessa Phillips, Mengjie Zhang, Bing Xue
2017 B conf
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
EuroGP
Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang
2017 — conf
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression.
SEAL
Qi Chen, Mengjie Zhang, Bing Xue
2017 — conf
Improving
GECCO (Companion)
Andrew Lensen, Bing Xue, Mengjie Zhang
2017 A conf
Multiple imputation and genetic programming for classification with incomplete data.
GECCO
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2017 — conf
Multiple reference points MOEA/D for feature selection.
GECCO (Companion)
Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang
2017 — conf
New Representations in Genetic Programming for Feature Construction in k-Means Clustering.
SEAL
Andrew Lensen, Bing Xue, Mengjie Zhang
2017 — conf
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation.
GECCO (Companion)
Qi Chen, Mengjie Zhang, Bing Xue
2017 A conf
PSO-based parameters selection for the bilateral filter in image denoising.
GECCO
Chengyan Wang, Bing Xue, Lin Shang
2017 B conf
Particle Swarm Optimisation with genetic operators for feature selection.
CEC
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2017 J jnl
Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms - Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3.
Genet. Program. Evolvable Mach.
Bing Xue
2017 — conf
Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification.
EvoApplications (1)
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2017 — conf
Transductive Transfer Learning in Genetic Programming for Document Classification.
SEAL
Wenlong Fu, Bing Xue, Mengjie Zhang, Xiaoying Gao
2017 B conf
Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data.
EuroGP
Binh Tran, Bing Xue, Mengjie Zhang
2017 — conf
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.
EvoApplications (1)
Andrew Lensen, Bing Xue, Mengjie Zhang
2017 — conf
Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.
SEAL
Yi Liu, Bing Xue, Will N. Browne
2016 B conf
A Differential Evolution Approach to Feature Selection and Instance Selection.
PRICAI
Jiaheng Wang, Bing Xue, Xiaoying Gao, Mengjie Zhang
2016 — conf
A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data.
EvoApplications (1)
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue
2016 B conf
A PSO based hybrid feature selection algorithm for high-dimensional classification.
CEC
Binh Tran, Mengjie Zhang, Bing Xue
2016 — conf
A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages.
PAISI
Jianbin Ma, Bing Xue, Mengjie Zhang
2016 — conf
A Subset Similarity Guided Method for Multi-objective Feature Selection.
ACALCI
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2016 J jnl
A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Trans. Evol. Comput.
Bing Xue, Mengjie Zhang, Will N. Browne, Xin Yao
2016 — conf
A Wrapper Feature Selection Approach to Classification with Missing Data.
EvoApplications (1)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 — conf
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification.
EvoApplications (1)
Binh Tran, Bing Xue, Mengjie Zhang
2016 — conf
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information.
SSCI
Bing Xue, Mitchell C. Lane, Ivy Liu, Mengjie Zhang
2016 — conf
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
GECCO (Companion)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 — conf
Evolutionary Computation for Feature Selection and Feature Construction.
GECCO (Companion)
Mengjie Zhang, Bing Xue
2016 B conf
Evolutionary computation for feature manipulation: Key challenges and future directions.
CEC
Bing Xue, Mengjie Zhang
2016 A conf
Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference.
GECCO
Yi Mei, Bing Xue, Mengjie Zhang
2016 B conf
Further investigation on genetic programming with transfer learning for symbolic regression.
CEC
Edward Haslam, Bing Xue, Mengjie Zhang
2016 B conf
Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data.
EuroGP
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
2016 B conf
Genetic programming for evolving programs with recursive structures.
CEC
Tessa Phillips, Mengjie Zhang, Bing Xue
2016 J jnl
Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Comput.
Binh Tran, Bing Xue, Mengjie Zhang
2016 J jnl
Guest editorial: special issue on evolutionary optimization, feature reduction and learning.
Soft Comput.
Bing Xue, Gang Chen
2016 A conf
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
GECCO
Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang
2016 B conf
Improving classification on images by extracting and transferring knowledge in genetic programming.
CEC
Muhammad Iqbal, Mengjie Zhang, Bing Xue
2016 B conf
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection.
CEC
Qi Chen, Bing Xue, Ben Niu, Mengjie Zhang
2016 J jnl
Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 J jnl
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci.
Binh Tran, Bing Xue, Mengjie Zhang, Su Nguyen
2016 — conf
Multiple feature construction in classification on high-dimensional data using GP.
SSCI
Binh Tran, Mengjie Zhang, Bing Xue
2016 — conf
Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization.
EvoApplications (1)
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2016 J jnl
Mutual information for feature selection: estimation or counting?
Evol. Intell.
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2016 J jnl
New mechanism for archive maintenance in PSO-based multi-objective feature selection.
Soft Comput.
Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang
2016 — conf
Particle swarm optimisation representations for simultaneous clustering and feature selection.
SSCI
Andrew Lensen, Bing Xue, Mengjie Zhang
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Qi Chen, Mengjie Zhang, Bing Xue
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Bach Hoai Nguyen, Bing Xue, Peter Andreae
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui
2016 — conf
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems.
PAKDD (2)
Muhammad Iqbal, Bing Xue, Mengjie Zhang
2015 — ed.
7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, November 13-15, 2015
SoCPaR
Mario Köppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma
2015 J jnl
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.
Int. J. Comput. Intell. Appl.
Bing Xue, Mengjie Zhang, Will N. Browne
2015 J jnl
A binary ABC algorithm based on advanced similarity scheme for feature selection.
Appl. Soft Comput.
Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang
2015 Misc conf
A hybrid Genetic Programming approach to feature detection and image classification.
IVCNZ
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
2015 B conf
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information.
CEC
Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay
2015 B conf
Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation.
CEC
Chahine Koleejan, Bing Xue, Mengjie Zhang
2015 B conf
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection.
EvoApplications
Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang
2015 B conf
Generalisation and domain adaptation in GP with gradient descent for symbolic regression.
CEC
Qi Chen, Bing Xue, Mengjie Zhang
2015 Misc conf
Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach.
AusDM
Tony Butler-Yeoman, Bing Xue, Mengjie Zhang
2015 B conf
Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach.
CEC
Tony Butler-Yeoman, Bing Xue, Mengjie Zhang
2014 B conf
A New Binary Particle Swarm Optimisation Algorithm for Feature Selection.
EvoApplications
Bing Xue, Su Nguyen, Mengjie Zhang
2014 B conf
An archive based particle swarm optimisation for feature selection in classification.
IEEE Congress on Evolutionary Computation
Bing Xue, A. K. Qin, Mengjie Zhang
2014 J jnl
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl.
Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2014 — conf
Differential evolution (DE) for multi-objective feature selection in classification.
GECCO (Companion)
Bing Xue, Wenlong Fu, Mengjie Zhang
2014 B conf
Filter based backward elimination in wrapper based PSO for feature selection in classification.
IEEE Congress on Evolutionary Computation
Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang
2014 B conf
Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
EvoCOP
Mitchell C. Lane, Bing Xue, Ivy Liu, Mengjie Zhang
2014 — conf
Genetic Programming for Measuring Peptide Detectability.
SEAL
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue
2014 — conf
Improved PSO for Feature Selection on High-Dimensional Datasets.
SEAL
Binh Tran, Bing Xue, Mengjie Zhang
2014 — conf
Multi-objective Feature Selection in Classification: A Differential Evolution Approach.
SEAL
Bing Xue, Wenlong Fu, Mengjie Zhang
2014 A conf
Multiple feature construction for effective biomarker identification and classification using genetic programming.
GECCO
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue
2014 B conf
New Representations in PSO for Feature Construction in Classification.
EvoApplications
Yan Dai, Bing Xue, Mengjie Zhang
2014 — conf
Overview of Particle Swarm Optimisation for Feature Selection in Classification.
SEAL
Binh Tran, Bing Xue, Mengjie Zhang
2014 — conf
PSO and Statistical Clustering for Feature Selection: A New Representation.
SEAL
Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang
2014 — —
Particle Swarm Optimisation for Feature Selection in Classification.
Bing Xue
2014 J jnl
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.
Appl. Soft Comput.
Bing Xue, Mengjie Zhang, Will N. Browne
2013 B conf
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
EvoCOP
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
2013 B conf
Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
IEEE Congress on Evolutionary Computation
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
2013 B conf
Feature selection based on PSO and decision-theoretic rough set model.
IEEE Congress on Evolutionary Computation
Aneta Stevanovic, Bing Xue, Mengjie Zhang
2013 J jnl
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools
Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2013 B conf
Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.
EvoApplications
Bing Xue, Mengjie Zhang, Will N. Browne
2013 A conf
PSO for feature construction and binary classification.
GECCO
Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne
2013 — conf
Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Australasian Conference on Artificial Intelligence
Mitchell C. Lane, Bing Xue, Ivy Liu, Mengjie Zhang
2013 J jnl
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.
IEEE Trans. Cybern.
Bing Xue, Mengjie Zhang, Will N. Browne
2012 — conf
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Australasian Conference on Artificial Intelligence
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
2012 B conf
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
PRICAI
Bing Xue, Liam Cervante, Lin Shang, Mengjie Zhang
2012 J jnl
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci.
Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2012 J jnl
Bacterial foraging based approaches to portfolio optimization with liquidity risk.
Neurocomputing
Ben Niu, Yan Fan, Han Xiao, Bing Xue
2012 B conf
Binary particle swarm optimisation for feature selection: A filter based approach.
IEEE Congress on Evolutionary Computation
Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang
2012 A conf
Multi-objective particle swarm optimisation (PSO) for feature selection.
GECCO
Bing Xue, Mengjie Zhang, Will N. Browne
2012 B conf
New fitness functions in binary particle swarm optimisation for feature selection.
IEEE Congress on Evolutionary Computation
Bing Xue, Mengjie Zhang, Will N. Browne
2012 — conf
Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection.
ACSC
Bing Xue, Mengjie Zhang, Will N. Browne
2010 B conf
Constrained portfolio selection using multiple swarms.
IEEE Congress on Evolutionary Computation
Ben Niu, Lijing Tan, Bing Xue, Li Li, Yujuan Chai
2010 — conf
Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection.
ICIC (1)
Li Li, Bing Xue, Lijing Tan, Ben Niu
2009 — conf
A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function.
ICIC (2)
Li Li, Bing Xue, Ben Niu, Lijing Tan, Jixian Wang
2009 — conf
Symbiotic Multi-swarm PSO for Portfolio Optimization.
ICIC (2)
Ben Niu, Bing Xue, Li Li, Yujuan Chai
2005 C conf
A research on the evolution of ecological environment and resources exploitation in Xinjiang.
IGARSS
Bing Xue, Xing-Peng Chen, Xing-li Yu, Hong Miao, Xue-sen Tuo
2005 C conf
A study on the landscape structure and change of the valley-city: case of Lanzhou.
IGARSS
Bing Xue, Xing-Peng Chen, Yan Huang, Yong-jin Li, Yong Liu
2005 C conf
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.
IGARSS
Xing-li Yu, Xing-Peng Chen, Bing Xue
2005 C conf
Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China.
IGARSS
Qing-Guang Liu, Xing-Peng Chen, Hong Miao, Li-Min Gao, Bing Xue