Mengjie Zhang

1138 papers A* 5A 89B 261C 6Misc 43Journal 445Unranked 279
YearRankTypeTitle / Venue / Authors
2026 J jnl
2026 IEEE CIS Awards [Society Briefs].
IEEE Comput. Intell. Mag.
Mengjie Zhang
2026 J jnl
A Novel Multi-Objective Memetic Algorithm for Multi-Task Fuzzy Flexible Job Shop Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell.
Shaojin Geng, Yi Mei, Fangfang Zhang, Lei Wang, Qidi Wu, Mengjie Zhang
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
Adaptive Similarity Feature Construction for Ontology Matching via Multilayer Hybrid Genetic Programming.
IEEE Trans. Evol. Comput.
Xingsi Xue, Yi Mei, Baozhong Zhao, 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
Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing.
IEEE Trans. Serv. Comput.
Zai-Xing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Wang, 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 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
Genetic programming with advanced diverse partner selection for dynamic scheduling.
Expert Syst. Appl.
Meng Xu, Yi Mei, Fangfang Zhang, Yew Soon Ong, Mengjie Zhang
2026 J jnl
HEATACO: Heatmap-Guided Ant Colony Decoding for Large-Scale Travelling Salesman Problems.
CoRR
Bo-Cheng Lin, Yi Mei, Mengjie Zhang
2026 J jnl
Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling.
CoRR
Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang
2026 J jnl
Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks.
CoRR
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
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 J jnl
Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Wang, Jie Zhang, Fangfang Zhang, Gai-Ge Wang, Mengjie Zhang
2026 J jnl
Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling.
IEEE Trans. Evol. Comput.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
2026 J jnl
Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak.
CoRR
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2026 A* conf
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data.
AAAI
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
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
Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling.
CoRR
Yuan Tian, Yi Mei, Mengjie Zhang
2026 J jnl
Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling.
CoRR
Yuan Tian, Yi Mei, Mengjie Zhang
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 J jnl
2025 IEEE CIS Awards [Society Briefs].
IEEE Comput. Intell. Mag.
Mengjie Zhang
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 Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.
Evol. Comput.
Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, 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 A conf
A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling.
GECCO
Junwei Pang, Yi Mei, 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 Operator Selection for Meta-Heuristics: A Survey.
IEEE Trans. Artif. Intell.
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
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 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 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 J jnl
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation.
Memetic Comput.
Bo-Cheng Lin, Yi Mei, Mengjie Zhang
2025 J jnl
Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP.
CoRR
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf
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 B conf
Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems.
CEC
Saining Liu, Yi Mei, Mengjie Zhang
2025 J jnl
Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems.
CoRR
Saining Liu, Yi Mei, Mengjie Zhang
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
Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing.
IEEE Trans. Evol. Comput.
Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, Mengjie Zhang
2025 J jnl
DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling.
CoRR
Ruiqi Chen, Yi Mei, Fangfang Zhang, Mengjie Zhang
2025 J jnl
Dynamic cooperative scheduling toward distributed and reconfigurable manufacturing via multi-agent deep reinforcement learning.
Swarm Evol. Comput.
Shengluo Yang, Zhigang Xu, Fangfang Zhang, Yi Mei, Quanke Pan, Mengjie Zhang
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 Trainer-Based Deep Q-Network for Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Evol. Comput.
Yun Liu, Fangfang Zhang, Yanan Sun, 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 J jnl
Fitness Landscape Optimization Makes Stochastic Symbolic Search by Genetic Programming Easier.
IEEE Trans. Evol. Comput.
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf
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
GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing Problem.
CoRR
Xiangling Chen, Yi Mei, Mengjie Zhang
2025 J jnl
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy.
CoRR
Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
2025 J jnl
GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy.
CoRR
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
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
Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control.
CoRR
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang, Xiang-Ling Chen
2025 — conf
Generating (Semi-)active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics.
EvoCOP@EvoStar
Yuan Tian, Yi Mei, Mengjie Zhang
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 conf
Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem.
CEC
William Huang, Yi Mei, Günther R. Raidl, Fangfang Zhang, Laurenz Tomandl, Steffen Limmer, Mengjie Zhang, Tobias Rodemann
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 J jnl
Genetic Programming With Multifidelity Surrogates for Large-Scale Dynamic Air Traffic Flow Management.
IEEE Trans. Evol. Comput.
Tong Guo, Yi Mei, Mengjie Zhang, Ruofei Sun, Yanbo Zhu, Wenbo Du
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 B conf
Genetic Programming with Activity Group Selection for Dynamic Multi-mode Resource-Constrained Project Scheduling Problems.
CEC
Yuan Tian, Yi Mei, Mengjie Zhang
2025 — conf
Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification.
EvoApplications (2)
Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang
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 B conf
Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling.
CEC
Luyao Zhu, Fangfang Zhang, Yi Mei, 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
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning.
Artif. Intell. Rev.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
2025 A conf
Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing Problem.
GECCO
Xiang-Ling Chen, Yi Mei, Mengjie Zhang
2025 J jnl
Learning-Aided Neighborhood Search for Vehicle Routing Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Tong Guo, Yi Mei, Mengjie Zhang, Haoran Zhao, Kaiquan Cai, Wenbo Du
2025 A* conf
LiBOG: Lifelong Learning for Black-Box Optimizer Generation.
IJCAI
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang
2025 J jnl
LiBOG: Lifelong Learning for Black-Box Optimizer Generation.
CoRR
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang
2025 J jnl
Lifelong Learning with Behavior Consolidation for Vehicle Routing.
CoRR
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
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
Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).
BMC Bioinform.
Ze Chen, Julie Blommaert, Yi Mei, Linley Jesson, Maren Wellenreuther, 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 — conf
Multi-tree Genetic Programming for Dynamic Tugboat Scheduling.
EvoApplications (2)
Xinxin Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang, Huili Gong, Xiangqian Ding
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 Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming.
IEEE Trans. Artif. Intell.
Fangfang Zhang, Gaofeng Shi, Yi Mei, 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 B conf
Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression.
CEC
Mohamad Rimas Mohamad Anfar, Qi Chen, 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 J jnl
One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models.
CoRR
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2025 J jnl
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data.
CoRR
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
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
Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Artif. Intell.
Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang
2025 B conf
Preference-Based Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling.
CEC
Zhuoyin Qiao, Fangfang Zhang, Yi Mei, Mengjie Zhang
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 — conf
Scalable Knee-Point Guided Activity Group Selection in Multi-tree Genetic Programming for Dynamic Multi-Mode Project Scheduling.
PRICAI (4)
Yuan Tian, Yi Mei, Mengjie Zhang
2025 — conf
Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals.
PRICAI (4)
Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang, Ruibin Bai
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
Surrogate-Assisted Neighborhood Search With Only a Few Weight Vectors for Expensive Large-Scale Multiobjective Binary Optimization.
IEEE Trans. Evol. Comput.
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2025 J jnl
SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control.
CoRR
Xiao-Cheng Liao, Yi Mei, 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 J jnl
Toward Evolving Dispatching Rules With Flow Control Operations by Grammar-Guided Linear Genetic Programming.
IEEE Trans. Evol. Comput.
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang
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 — conf
A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem.
GECCO Companion
Shaolin Wang, Yi Mei, Mengjie Zhang
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 J jnl
Architecture Augmentation for Performance Predictor via Graph Isomorphism.
IEEE Trans. Cybern.
Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan
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
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling.
Genet. Program. Evolvable Mach.
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf
2024 Misc conf
Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks.
IVCNZ
Jiaxuan Wang, Ruigeng Wang, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Gibrán Alfonso Zazueta Cruz, Stephen Hallett, Mitchell Rogers, Alexander Woodward, Alfonso Gastelum Strozzi, Riki Mitchel, Mengjie Zhang, Michael Witbrock, Patrice Delmas
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 J jnl
ConvFishNet: An efficient backbone for fish classification from composited underwater images.
Inf. Sci.
Huishan Qu, Gai-Ge Wang, Yun Li, Xin Qi, Mengjie Zhang
2024 — conf
Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning.
ICSOC (2)
Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
2024 J jnl
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning.
CoRR
Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
2024 B conf
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling.
CEC
Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang
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 J jnl
Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling.
Inf. Sci.
Yifan Yang, Aaron Chen, Hui Ma, Sven Hartmann, 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 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
Evolutionary deep learning for computer vision and image processing.
Appl. Soft Comput.
Harith Al-Sahaf, Pablo Mesejo, Ying Bi, Mengjie Zhang
2024 — conf
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach.
EvoApplications@EvoStar
Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang
2024 — conf
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics.
ICIC (1)
Zai-Xing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Qian, Mengjie Zhang
2024 J jnl
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput.
Shaolin Wang, Yi Mei, Mengjie Zhang
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
Fairness optimisation with multi-objective swarms for explainable classifiers on data streams.
Complex Intell. Syst.
Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon, 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 B conf
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values.
CEC
Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang
2024 — conf
GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems.
PPSN (1)
Saining Liu, João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
2024 J jnl
GPU-Based Genetic Programming for Faster Feature Extraction in Binary Image Classification.
IEEE Trans. Evol. Comput.
Rui Zhang, Yanan Sun, Mengjie Zhang
2024 J jnl
Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
2024 J jnl
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison.
IEEE Comput. Intell. Mag.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
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 Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles.
IEEE Trans. Evol. Comput.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
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 A conf
Genetic-based Constraint Programming for Resource Constrained Job Scheduling.
GECCO
Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang
2024 J jnl
Genetic-based Constraint Programming for Resource Constrained Job Scheduling.
CoRR
Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, 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 — conf
Importance-Based Pruning for Genetic Programming Based Symbolic Regression.
AI (2)
Mohamad Rimas, Qi Chen, 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 B conf
Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling.
CEC
Yuan Tian, Yi Mei, Mengjie Zhang
2024 A conf
Learning Traffic Signal Control via Genetic Programming.
GECCO
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
2024 J jnl
Learning Traffic Signal Control via Genetic Programming.
CoRR
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
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 B conf
Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules.
CEC
Junwei Pang, Yi Mei, Mengjie Zhang
2024 J jnl
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations.
CoRR
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf
2024 J jnl
Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds.
IEEE Trans. Serv. Comput.
Zai-Xing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, 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
Multitask Linear Genetic Programming With Shared Individuals and Its Application to Dynamic Job Shop Scheduling.
IEEE Trans. Evol. Comput.
Zhixing Huang, Yi Mei, Fangfang Zhang, 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
Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic.
PRICAI (1)
Ruiqi Chen, Yi Mei, Fangfang Zhang, 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
2024 J jnl
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling.
IEEE Trans. Evol. Comput.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
2024 Misc conf
Top-Down Target Object Detection Through Context.
IVCNZ
Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang, Osama Rehman, Aisha Ajmal, Simon Jigwan Park
2024 Misc conf
Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach.
IVCNZ
Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang
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 Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput.
Shaolin Wang, Yi Mei, 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 — conf
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling.
AI (2)
Meng Xu, Yi Mei, Fangfang Zhang, 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 J jnl
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization.
IEEE Trans. Cybern.
Ya-Hui Jia, Yi Mei, Mengjie Zhang
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 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 — conf
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming.
GECCO Companion
Fangfang Zhang, Yi Mei, Mengjie Zhang
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 J jnl
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Siyi Li, Yanan Sun, Gary G. Yen, 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 — conf
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming.
AI (2)
Mohamad Rimas, Qi Chen, 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
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems.
IEEE Trans. Evol. Comput.
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2023 — conf
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach.
SSCI
Basim Azam, Brijesh K. Verma, 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
Differentiable Genetic Programming for High-dimensional Symbolic Regression.
CoRR
Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
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 and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition.
GECCO Companion
Mengjie Zhang, Stefano Cagnoni
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 Dynamic Workflow Scheduling in Fog Computing.
IEEE Trans. Serv. Comput.
Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, 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 — conf
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling.
AI (2)
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, 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 A conf
Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling.
GECCO
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang
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 J jnl
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling.
IEEE Trans. Evol. Comput.
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
2023 J jnl
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput.
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao
2023 Misc conf
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary.
IVCNZ
Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
2023 A conf
Learning Emergency Medical Dispatch Policies Via Genetic Programming.
GECCO
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal
2023 J jnl
Learning Heuristics With Different Representations for Stochastic Routing.
IEEE Trans. Cybern.
Ya-Hui Jia, Yi Mei, 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 A conf
Learning to Select Initialisation Heuristic for Vehicle Routing Problems.
GECCO
João Guilherme Cavalcanti Costa, Yi Mei, 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 — conf
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling.
GECCO Companion
Meng Xu, Yi Mei, Fangfang Zhang, 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
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern.
Fangfang Zhang, Yi Mei, Su Nguyen, 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 A conf
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
GECCO
Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, 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
2023 J jnl
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput.
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
2023 J jnl
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.
IEEE Trans. Circuits Syst. Video Technol.
Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang, Mengjie Zhang
2022 J jnl
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem.
IEEE Trans. Cybern.
Ya-Hui Jia, Yi Mei, Mengjie Zhang
2022 J jnl
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds.
IEEE Trans. Cloud Comput.
Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang
2022 — conf
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling.
SSCI
Zhixing Huang, Yi Mei, Fangfang Zhang, 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 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 B conf
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling.
EuroGP
Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang
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 J jnl
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism.
CoRR
Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan
2022 J jnl
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming.
IEEE Trans. Cybern.
Su Nguyen, Dhananjay R. Thiruvady, Mengjie Zhang, Damminda Alahakoon
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
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Cybern.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
2022 J jnl
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes.
IEEE Trans. Evol. Comput.
Ya-Hui Jia, Yi Mei, Mengjie Zhang
2022 J jnl
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents.
IEEE Trans. Cybern.
Ya-Hui Jia, Yi Mei, 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
Deep Learning Model with GA based Feature Selection and Context Integration.
CoRR
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
2022 A conf
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud.
ICSOC
Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang
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
Editorial Introduction.
Genet. Program. Evolvable Mach.
Leonardo Trujillo, Ting Hu, Nuno Lourenço, 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 and evolutionary deep learning for image analysis, signal processing and pattern recognition.
GECCO Companion
Mengjie Zhang, Stefano Cagnoni
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 — conf
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation.
SSCI
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
2022 B conf
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling.
CEC
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
2022 J jnl
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput.
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
2022 J jnl
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput.
Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao
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 B conf
Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching.
CEC
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang
2022 B conf
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling.
CEC
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
2022 B conf
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling.
CEC
Meng Xu, Fangfang Zhang, Yi Mei, 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 — conf
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling.
GECCO Companion
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
2022 A conf
Graph-based linear genetic programming: a case study of dynamic scheduling.
GECCO
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang
2022 J jnl
Guest Editorial Special Issue on Multitask Evolutionary Computation.
IEEE Trans. Evol. Comput.
Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
2022 A conf
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems.
GECCO
João Guilherme Cavalcanti Costa, Yi Mei, 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 — conf
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
PPSN (2)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
2022 — conf
Introduction to automated design of scheduling heuristics with genetic programming.
GECCO Companion
Marko Durasevic, Domagoj Jakobovic, Yi Mei, Su Nguyen, 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 B conf
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling.
CEC
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
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 A conf
Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems.
GECCO
Shaolin Wang, Yi Mei, 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 J jnl
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.
IEEE Trans. Cybern.
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, 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 — conf
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling.
SSCI
Fangfang Zhang, Yi Mei, Su Nguyen, 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 B conf
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling.
EvoCOP
Sai Panda, Yi Mei, 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 — conf
Using Neural Networks to Automate Monitoring of Fish Stocks.
SSCI
Michael Stanley, Andrew Lensen, Mengjie Zhang
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
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 J jnl
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming.
IEEE Trans. Evol. Comput.
Su Nguyen, Dhananjay Raghavan Thiruvady, Mengjie Zhang, Kay Chen Tan
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 B conf
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem.
CEC
Shaolin Wang, Yi Mei, 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 A conf
A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem.
GECCO
Mazhar Ansari Ardeh, Yi Mei, 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 B conf
An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem.
CEC
João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
2021 — conf
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem.
SSCI
Shaolin Wang, Yi Mei, Mengjie Zhang
2021 — conf
An Investigation on Multi-Objective Fish Breeding Program Design.
SSCI
Fergus Currie, Yi Mei, Mengjie Zhang, Maren Wellenreuther, Linley Jesson
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 B conf
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources.
CEC
Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang
2021 B conf
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.
CEC
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2021 J jnl
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput.
Fangfang Zhang, Yi Mei, Su Nguyen, 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 B conf
Deep Learning Model with GA-based Visual Feature Selection and Context Integration.
CEC
Ranju Mandal, Basim Azam, Brijesh K. Verma, 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 Multi-Objective Optimization for Web Service Location Allocation Problem.
IEEE Trans. Serv. Comput.
Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang
2021 J jnl
Evolutionary Neural Architecture Search and Applications [Guest Editorial].
IEEE Comput. Intell. Mag.
Yanan Sun, Mengjie Zhang, Gary G. Yen
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 and evolutionary deep learning for image analysis, signal processing and pattern recognition.
GECCO Companion
Mengjie Zhang, Stefano Cagnoni
2021 — conf
Evolutionary computation for feature selection and feature construction.
GECCO Companion
Bing Xue, Mengjie Zhang
2021 J jnl
Evolving Deep Convolutional Variational Autoencoders for Image Classification.
IEEE Trans. Evol. Comput.
Xiangru Chen, Yanan Sun, Mengjie Zhang, Dezhong Peng
2021 J jnl
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
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
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming.
CEC
Atiya Masood, Gang Chen, 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 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 — book
Genetic Programming for Production Scheduling - An Evolutionary Learning Approach, 3
Fangfang Zhang, Su Nguyen, Yi Mei, 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 B conf
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling.
CEC
Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang
2021 J jnl
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling.
Evol. Comput.
Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, 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 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
Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling.
SSCI
Zhixing Huang, Yi Mei, Mengjie Zhang
2021 — ch.
Knowledge Transfer in Genetic Programming Hyper-heuristics.
Automated Design of Machine Learning and Search Algorithms
Yi Mei, Mazhar Ansari Ardeh, Mengjie Zhang
2021 B conf
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming.
CEC
João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
2021 — conf
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem.
SSCI
João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
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
People-Centric Evolutionary System for Dynamic Production Scheduling.
IEEE Trans. Cybern.
Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan
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
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan
2021 B conf
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem.
CEC
Mazhar Ansari Ardeh, Yi Mei, 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 A conf
Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem.
GECCO
Shaolin Wang, Yi Mei, Mengjie Zhang
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 B conf
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
CEC
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
2020 — conf
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
SSCI
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
2020 Misc conf
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
IVCNZ
Gonglin Yuan, Bing Xue, Mengjie Zhang
2020 J jnl
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.
CoRR
Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2020 B conf
A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems.
CEC
Shaolin Wang, Yi Mei, 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 — conf
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem.
Australasian Conference on Artificial Intelligence
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
2020 J jnl
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem.
Evol. Comput.
Yuxin Liu, Yi Mei, Mengjie Zhang, Zili 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 of Evolutionary Computation for Web Service Composition: A Technical Perspective.
IEEE Trans. Emerg. Top. Comput. Intell.
Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, 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 A conf
A memetic level-based learning swarm optimizer for large-scale water distribution network optimization.
GECCO
Ya-Hui Jia, Yi Mei, Mengjie Zhang
2020 J jnl
A non-specialized ensemble classifier using multi-objective optimization.
Neurocomputing
Sam Fletcher, Brijesh K. Verma, Mengjie Zhang
2020 — conf
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming.
GECCO Companion
Fangfang Zhang, Yi Mei, Su Nguyen, 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 — conf
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem.
SSCI
João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
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 B conf
Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem.
CEC
João Guilherme Cavalcanti Costa, Yi Mei, 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 J jnl
Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports].
IEEE Comput. Intell. Mag.
Mengjie Zhang, Kay Chen Tan
2020 J jnl
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.
CoRR
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
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
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem.
SSCI
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
2020 B conf
Effective Linear Policy Gradient Search through Primal-Dual Approximation.
IJCNN
Yiming Peng, Gang Chen, Mengjie Zhang
2020 — conf
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition.
GECCO Companion
Mengjie Zhang, Stefano Cagnoni
2020 — conf
Evolutionary computation for feature selection and feature construction.
GECCO Companion
Bing Xue, Mengjie Zhang
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 — 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 B conf
Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems.
CEC
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
2020 J jnl
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
Evol. Comput.
Jordan MacLachlan, Yi Mei, Jürgen Branke, 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 Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
EvoCOP
Fangfang Zhang, Yi Mei, Su Nguyen, 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 B conf
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.
EuroGP
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
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 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 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 J jnl
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks.
CoRR
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2020 A conf
Relatedness measures to aid the transfer of building blocks among multiple tasks.
GECCO
Trung B. Nguyen, Will N. Browne, 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
2020 — conf
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem.
SSCI
Shaolin Wang, Yi Mei, 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 B conf
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling.
EvoCOP
Fangfang Zhang, Yi Mei, 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 — conf
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
PRICAI (1)
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
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 — conf
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem.
SSCI
Shaolin Wang, Yi Mei, John Park, Mengjie Zhang
2019 A conf
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling.
GECCO
Fangfang Zhang, Yi Mei, Mengjie Zhang
2019 B conf
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming.
CEC
Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
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 J jnl
Bayesian genetic programming for edge detection.
Soft Comput.
Wenlong Fu, Mengjie Zhang, Mark Johnston
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 B conf
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
CEC
Fangfang Zhang, Yi Mei, 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 J jnl
Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means.
Expert Syst. Appl.
Saeed Mirghasemi, Peter Andreae, Mengjie Zhang
2019 — conf
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition.
GECCO (Companion)
Mengjie Zhang, Stefano Cagnoni
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 B conf
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics.
CEC
Fangfang Zhang, Yi Mei, Mengjie Zhang
2019 — conf
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem.
SSCI
Shaolin Wang, Yi Mei, John Park, 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 J jnl
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques.
Neural Comput. Appl.
Yuyu Liang, Mengjie Zhang, Will N. Browne
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
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case.
Genet. Program. Evolvable Mach.
Roberto Santana, Luis Martí, Mengjie Zhang
2019 J jnl
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
CoRR
Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang
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 — conf
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling.
Australasian Conference on Artificial Intelligence
Atiya Masood, Gang Chen, Yi Mei, 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 — conf
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem.
GECCO (Companion)
Mazhar Ansari Ardeh, Yi Mei, 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 A conf
Improvement of code fragment fitness to guide feature construction in XCS.
GECCO
Trung B. Nguyen, Will N. Browne, 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 B conf
Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation.
CEC
Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang
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 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 — conf
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows.
SSCI
Deepak Karunakaran, Yi Mei, 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 A conf
Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem.
GECCO
Shaolin Wang, Yi Mei, Mengjie Zhang
2019 B conf
Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction.
CEC
Trung B. Nguyen, Will N. Browne, 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 B conf
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem.
CEC
Mazhar Ansari Ardeh, Yi Mei, 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 J jnl
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Md. Asafuddoula, Brijesh K. Verma, 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 A conf
A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition.
ICWS
Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, 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 — conf
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III.
Australasian Conference on Artificial Intelligence
Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang
2018 A conf
Adaptive charting genetic programming for dynamic flexible job shop scheduling.
GECCO
Su Nguyen, Mengjie Zhang, Kay Chen Tan
2018 J jnl
An Adaptive Clipping Approach for Proximal Policy Optimization.
CoRR
Gang Chen, Yiming Peng, Mengjie Zhang
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 — conf
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem.
Australasian Conference on Artificial Intelligence
Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang
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
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput.
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
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 B conf
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning.
IJCNN
Gang Chen, Yiming Peng, Mengjie Zhang
2018 B conf
Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning.
CEC
Xiu Cheng, Will N. Browne, 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 J jnl
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization.
CoRR
Gang Chen, Yiming Peng, 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 Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Australasian Conference on Artificial Intelligence
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2018 — conf
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition.
GECCO (Companion)
Mengjie Zhang, Stefano Cagnoni
2018 J jnl
Evolutionary computation for automatic Web service composition: an indirect representation approach.
J. Heuristics
Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, 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 J jnl
Feature Map Quality Score Estimation Through Regression.
IEEE Trans. Image Process.
Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang
2018 — conf
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling.
GECCO (Companion)
Daniel Yska, Yi Mei, Mengjie Zhang
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 B ed.
Genetic Programming - 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings
EuroGP
Mauro Castelli, Lukás Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez
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 Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows.
CEC
Yi Mei, Mengjie Zhang
2018 B conf
Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
EuroGP
Daniel Yska, Yi Mei, 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
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling.
Australasian Conference on Artificial Intelligence
Fangfang Zhang, Yi Mei, Mengjie Zhang
2018 — conf
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem.
GECCO (Companion)
Yi Mei, Mengjie Zhang
2018 J jnl
Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing.
IEEE Trans. Emerg. Top. Comput. Intell.
Hui Cheng, Xin Yao, Shengxiang Yang, Mengjie Zhang
2018 J jnl
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genet. Program. Evolvable Mach.
Su Nguyen, Yi Mei, Mengjie Zhang
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 B conf
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
EuroGP
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2018 A conf
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search.
GECCO
Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang
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
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
EvoCOP
Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang
2018 — conf
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
PPSN (2)
Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2018 — conf
Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Australasian Conference on Artificial Intelligence
Fangfang Zhang, Yi Mei, Mengjie Zhang
2018 B conf
The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm.
IJCNN
Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang
2018 — conf
Tutorials at PPSN 2018.
PPSN (2)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
2018 J jnl
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier].
IEEE Comput. Intell. Mag.
Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan
2017 — conf
A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.
SEAL
Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2017 — conf
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
ACALCI
Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang
2017 B conf
A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling.
CEC
Su Nguyen, 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 B conf
A sandpile model for reliable actor-critic reinforcement learning.
IJCNN
Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
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 B conf
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.
IJCNN
Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
2017 A conf
Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem.
GECCO
Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang
2017 — conf
Automated state feature learning for actor-critic reinforcement learning through NEAT.
GECCO (Companion)
Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang
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
Binary PSO for Web Service Location-Allocation.
ACALCI
Boxiong Tan, Hai Huang, Hui Ma, Mengjie Zhang
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 — conf
Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.
SEAL
Yi Mei, Su Nguyen, 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 — conf
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
SEAL
Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei
2017 J jnl
Evolving Deep Convolutional Neural Networks for Image Classification.
CoRR
Yanan Sun, Bing Xue, Mengjie Zhang
2017 B conf
Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming.
EuroGP
Yi Mei, Su Nguyen, Mengjie Zhang
2017 — conf
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Australasian Conference on Artificial Intelligence
Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang
2017 B conf
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times.
CEC
Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2017 B conf
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
CEC
Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, 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
Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems.
Evol. Comput.
Muhammad Iqbal, Will N. Browne, 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
Fragment-based genetic programming for fully automated multi-objective web service composition.
GECCO
Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang
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 J jnl
Genetic programming for evolving figure-ground segmentors from multiple features.
Appl. Soft Comput.
Yuyu Liang, Mengjie Zhang, Will N. Browne
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 J jnl
Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems.
IEEE Trans. Emerg. Top. Comput. Intell.
Wenjian Luo, Emma Hart, Mengjie Zhang
2017 J jnl
Image feature selection using genetic programming for figure-ground segmentation.
Eng. Appl. Artif. Intell.
Yuyu Liang, Mengjie Zhang, Will N. Browne
2017 — conf
Improving
GECCO (Companion)
Andrew Lensen, Bing Xue, Mengjie Zhang
2017 — conf
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
ACALCI
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2017 J jnl
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors.
IEEE Trans. Evol. Comput.
Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, Mark Johnston
2017 — conf
Learning figure-ground image segmentors by genetic programming.
GECCO (Companion)
Yuyu Liang, Mengjie Zhang, Will N. Browne
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 B conf
Particle Swarm Optimisation with genetic operators for feature selection.
CEC
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2017 J jnl
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn, Mengjie Zhang
2017 — ed.
Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings
SEAL
Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
2017 J jnl
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.
IEEE Trans. Cybern.
Su Nguyen, Mengjie Zhang, Kay Chen Tan
2017 A conf
Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty.
GECCO
Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
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
Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming.
ACALCI
Yuyu Liang, Mengjie Zhang, 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 B conf
A Genetic Programming-Based Imputation Method for Classification with Missing Data.
EuroGP
Cao Truong Tran, Mengjie Zhang, Peter Andreae
2016 — conf
A Graph-based QoS-Aware Method for Web Service Composition with Branching.
GECCO (Companion)
Alexandre Sawczuk da Silva, Hui Ma, 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 — conf
A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation.
ACALCI
Saeed Mirghasemi, Ramesh Kumar Rayudu, Mengjie Zhang
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 Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing.
EvoApplications (1)
Nasser R. Sabar, Andy Song, Mengjie Zhang
2016 — conf
A Wrapper Feature Selection Approach to Classification with Missing Data.
EvoApplications (1)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue
2016 B conf
A comprehensive analysis on reusability of GP-evolved job shop dispatching rules.
CEC
Yi Mei, Mengjie Zhang
2016 Misc conf
A dynamic feature map integration approach for predicting human fixation.
IVCNZ
Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang
2016 — conf
A genetic programming approach to distributed execution of data-intensive web service compositions.
ACSW
Yang Yu, Hui Ma, Mengjie Zhang
2016 B conf
A memetic algorithm-based indirect approach to web service composition.
CEC
Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang
2016 J jnl
Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions.
IEEE Trans. Evol. Comput.
Gang Chen, Colin I. J. Douch, Mengjie Zhang
2016 B conf
An XCS-based algorithm for multi-objective reinforcement learning.
CEC
Xiu Cheng, Gang Chen, Mengjie Zhang
2016 J jnl
Automated Design of Production Scheduling Heuristics: A Review.
IEEE Trans. Evol. Comput.
Jürgen Branke, Su Nguyen, Christoph W. Pickardt, Mengjie Zhang
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 J jnl
Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances.
Evol. Comput.
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2016 — conf
Compaction for Code Fragment Based Learning Classifier Systems.
ACALCI
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2016 B conf
Compaction for code fragment based learning classifier systems - Redux.
CEC
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2016 J jnl
Contextual-based top-down saliency feature weighting for target detection.
Mach. Vis. Appl.
Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang
2016 — conf
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation.
ECCV (4)
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li
2016 J jnl
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation.
CoRR
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li
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 B conf
Directly evolving classifiers for missing data using genetic programming.
CEC
Cao Truong Tran, Mengjie Zhang, Peter Andreae
2016 — conf
Evolutionary Computation for Feature Selection and Feature Construction.
GECCO (Companion)
Mengjie Zhang, Bing Xue
2016 B conf
Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features.
CEC
Francine Burling-Claridge, Muhammad Iqbal, Mengjie Zhang
2016 B conf
Evolutionary computation for feature manipulation: Key challenges and future directions.
CEC
Bing Xue, Mengjie Zhang
2016 B conf
Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives.
CEC
Stefano Cagnoni, Mengjie Zhang
2016 B conf
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
CEC
Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang
2016 B conf
Evolutionary web service composition: A graph-based memetic algorithm.
CEC
Longfei Yan, Yi Mei, Hui Ma, Mengjie Zhang
2016 A conf
Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference.
GECCO
Yi Mei, Bing Xue, Mengjie Zhang
2016 A conf
Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming.
GECCO
Yi Mei, Mengjie Zhang, Su Nguyen
2016 B conf
Figure-ground image segmentation using genetic programming and feature selection.
CEC
Yuyu Liang, Mengjie Zhang, Will N. Browne
2016 J jnl
Foreword: special issue on evolutionary computer vision and pattern recognition.
Evol. Intell.
Stefano Cagnoni, Mengjie Zhang
2016 B conf
Further investigation on genetic programming with transfer learning for symbolic regression.
CEC
Edward Haslam, Bing Xue, Mengjie Zhang
2016 — conf
Generalized Compatible Function Approximation for Policy Gradient Search.
ICONIP (1)
Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
2016 B conf
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
EuroGP
John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, 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 J jnl
Genetic programming for QoS-aware web service composition and selection.
Soft Comput.
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
2016 J jnl
Genetic programming for edge detection: a Gaussian-based approach.
Soft Comput.
Wenlong Fu, Mark Johnston, Mengjie Zhang
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 — conf
Handling Branched Web Service Composition with a QoS-Aware Graph-Based Method.
EC-Web
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang, Sven Hartmann
2016 A conf
Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set.
GECCO
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
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 B conf
Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming.
CEC
Michael Riley, Yi Mei, 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 J jnl
Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit.
Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
2016 B conf
Many-objective genetic programming for job-shop scheduling.
CEC
Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang
2016 B conf
Maximising total weighted number of activities for reservation with slack.
CEC
Su Nguyen, Mengjie Zhang, Kay Chen Tan
2016 — conf
Multi-objective Genetic Programming for Figure-Ground Image Segmentation.
ACALCI
Yuyu Liang, Mengjie Zhang, Will N. Browne
2016 — conf
Multiple feature construction in classification on high-dimensional data using GP.
SSCI
Binh Tran, Mengjie Zhang, Bing Xue
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
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
GECCO (Companion)
John Park, Yi Mei, Gang Chen, Mengjie Zhang
2016 — conf
Optimization of Location Allocation of Web Services Using a Modified Non-dominated Sorting Genetic Algorithm.
ACALCI
Boxiong Tan, Hui Ma, Mengjie Zhang
2016 — conf
Parallel Multi-objective Job Shop Scheduling Using Genetic Programming.
ACALCI
Deepak Karunakaran, Gang Chen, Mengjie Zhang
2016 B conf
Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.
EvoCOP
Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang
2016 B conf
Particle Swarm Optimization for Multi-Objective Web Service Location Allocation.
EvoCOP
Boxiong Tan, Yi Mei, Hui Ma, 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
Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Yuyu Liang, Mengjie Zhang, Will N. Browne
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
2016 — conf
Severely noisy image segmentation via wavelet shrinkage using PSO and Fuzzy C-Means.
SSCI
Saeed Mirghasemi, Peter Andreae, Mengjie Zhang, Ramesh Kumar Rayudu
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 A conf
A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling.
GECCO
Su Nguyen, Mengjie Zhang, Kay Chen Tan
2015 B conf
A GP approach to QoS-aware Web service composition including conditional constraints.
CEC
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
2015 — conf
A Heuristic Solution for Noisy Image Segmentation using Particle Swarm Optimization and Fuzzy Clustering.
IJCCI (ECTA)
Saeed Mirghasemi, Ramesh Rayudu, Mengjie Zhang
2015 J jnl
A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition.
Trans. Large Scale Data Knowl. Centered Syst.
Hui Ma, Anqi Wang, Mengjie Zhang
2015 — conf
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling.
GECCO (Companion)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2015 B conf
A Supervised Figure-Ground Segmentation Method Using Genetic Programming.
EvoApplications
Yuyu Liang, 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 J jnl
An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework.
Evol. Intell.
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2015 J jnl
Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.
IEEE Trans. Cybern.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
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 J jnl
Distribution-based invariant feature construction using genetic programming for edge detection.
Soft Comput.
Wenlong Fu, Mark Johnston, Mengjie Zhang
2015 A* conf
Domain Generalization for Object Recognition with Multi-task Autoencoders.
ICCV
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi
2015 J jnl
Domain Generalization for Object Recognition with Multi-task Autoencoders.
CoRR
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi
2015 B conf
Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems.
CEC
Su Nguyen, Mengjie Zhang, Kay Chen Tan
2015 — conf
Evolutionary Image Analysis, Signal Processing and Pattern Recognition.
GECCO (Companion)
Mengjie Zhang, Stefano Cagnoni
2015 A conf
Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction.
GECCO
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2015 B conf
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.
EuroGP
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2015 B conf
F-MOGP: A novel many-objective evolutionary approach to QoS-aware data intensive web service composition.
CEC
Yang Yu, Hui Ma, 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
Genetic Programming for Extracting Edge Features Using Two Blocks.
AusDM
Wenlong Fu, Mengjie Zhang, Mark Johnston
2015 B conf
Genetic Programming for algae detection in river images.
CEC
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma
2015 — conf
GraphEvol: A Graph Evolution Technique for Web Service Composition.
DEXA (2)
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
2015 B conf
Hyper-heuristic Operator Selection and Acceptance Criteria.
EvoCOP
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2015 B conf
Image descriptor: A genetic programming approach to multiclass texture classification.
CEC
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma
2015 B conf
Impact of imputation of missing values on Genetic programming based multiple feature construction for classification.
CEC
Cao Truong Tran, Peter Andreae, Mengjie Zhang
2015 J jnl
Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules.
Soft Comput.
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2015 A conf
Multiple Imputation for Missing Data Using Genetic Programming.
GECCO
Cao Truong Tran, Mengjie Zhang, Peter Andreae
2015 J jnl
Nature-Inspired Algorithms for Real-World Optimization Problems.
J. Appl. Math.
Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu
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
2015 B conf
Pixel characteristics based feature extraction approach for roadside object detection.
IJCNN
Sujan Chowdhury, Brijesh K. Verma, Mary Tom, Mengjie Zhang
2015 J jnl
Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems.
Swarm Evol. Comput.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2015 J jnl
Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems.
Soft Comput.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2015 — conf
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems.
ICONIP (2)
Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang
2015 J jnl
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization.
CoRR
Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn, Mengjie Zhang
2015 J jnl
Using Learning Classifier Systems to Learn Stochastic Decision Policies.
IEEE Trans. Evol. Comput.
Gang Chen, Colin I. J. Douch, Mengjie Zhang
2015 B conf
Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling.
EvoCOP
Rachel Hunt, Mark Johnston, Mengjie Zhang
2014 — conf
A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation.
SEAL
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2014 — conf
A GP Approach to QoS-Aware Web Service Composition and Selection.
SEAL
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
2014 B conf
A Genetic Programming approach to distributed QoS-aware web service composition.
IEEE Congress on Evolutionary Computation
Yang Yu, Hui Ma, Mengjie Zhang
2014 — conf
A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition.
SEAL
Yang Yu, Hui Ma, 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
A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection.
IEEE Congress on Evolutionary Computation
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang
2014 B conf
A hybrid discrete particle swarm optimisation method for grid computation scheduling.
IEEE Congress on Evolutionary Computation
Stephen Bennett, Su Nguyen, Mengjie Zhang
2014 B conf
A new GP-based wrapper feature construction approach to classification and biomarker identification.
IEEE Congress on Evolutionary Computation
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2014 B conf
A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling.
IEEE Congress on Evolutionary Computation
Su Nguyen, Mengjie Zhang, Mark Johnston
2014 — conf
An Enhanced Genetic Algorithm for Web Service Location-Allocation.
DEXA (2)
Hai Huang, Hui Ma, 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
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Trans. Evol. Comput.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014 — conf
Automatic Resolution Selection for Edge Detection Using Genetic Programming.
SEAL
Wenlong Fu, Mark Johnston, 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 J jnl
Deception, blindness and disorientation in particle swarm optimization applied to noisy problems.
Swarm Intell.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2014 Misc conf
Deep hybrid networks with good out-of-sample object recognition.
ICASSP
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
2014 — conf
Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem.
SEAL
Richard J. Marshall, Mark Johnston, 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
Domain Adaptive Neural Networks for Object Recognition.
PRICAI
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
2014 J jnl
Domain Adaptive Neural Networks for Object Recognition.
CoRR
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
2014 B conf
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.
EuroGP
Su Nguyen, Mengjie Zhang, Mark Johnston
2014 — conf
Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming.
SEAL
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2014 A conf
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming.
GECCO
Rachel Hunt, Mark Johnston, Mengjie Zhang
2014 B conf
Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming.
IEEE Congress on Evolutionary Computation
Rachel Hunt, Mark Johnston, 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
GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data.
EvoApplications
Soha Ahmed, Mengjie Zhang, Lifeng Peng
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 Misc conf
Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification.
IVCNZ
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2014 J jnl
Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014 — conf
Genetic Programming for Measuring Peptide Detectability.
SEAL
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue
2014 — conf
Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances.
SEAL
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2014 J jnl
Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems.
Evol. Comput.
Toktam Ebadi, Ignas Kukenys, Will N. Browne, Mengjie Zhang
2014 — conf
Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem.
GECCO (Companion)
Richard J. Marshall, Mark Johnston, Mengjie Zhang
2014 — conf
Image Segmentation: A Survey of Methods Based on Evolutionary Computation.
SEAL
Yuyu Liang, Mengjie Zhang, Will N. Browne
2014 — conf
Improved PSO for Feature Selection on High-Dimensional Datasets.
SEAL
Binh Tran, Bing Xue, Mengjie Zhang
2014 J jnl
Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming.
Connect. Sci.
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2014 B conf
Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism.
ICPR
Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang
2014 B conf
Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?
EvoApplications
Wenlong Fu, Mark Johnston, Mengjie Zhang
2014 J jnl
Low-Level Feature Extraction for Edge Detection Using Genetic Programming.
IEEE Trans. Cybern.
Wenlong Fu, Mark Johnston, 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 B conf
Optimizing configuration of neural ensemble network for breast cancer diagnosis.
IJCNN
Peter McLeod, Brijesh K. Verma, 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 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
2014 J jnl
Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems.
Swarm Evol. Comput.
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang
2014 — conf
Practice and Theory of Blendshape Facial Models.
Eurographics (State of the Art Reports)
John P. Lewis, Ken Anjyo, Taehyun Rhee, Mengjie Zhang, Frédéric H. Pighin, Zhigang Deng
2014 — conf
Prediction of detectable peptides in MS data using genetic programming.
GECCO (Companion)
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2014 J jnl
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.
IEEE Trans. Evol. Comput.
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2014 J jnl
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Trans. Evol. Comput.
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
2014 — conf
Reusing Learned Functionality to Address Complex Boolean Functions.
SEAL
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2014 — conf
Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features.
GECCO (Companion)
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang
2014 A conf
Salient object detection using learning classifiersystems that compute action mappings.
GECCO
Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
2014 — conf
Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling.
SEAL
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2014 — ed.
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings
SEAL
Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
2014 — conf
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method.
ICONIP (3)
Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch
2014 A conf
Three-cornered coevolution learning classifier systems for classification tasks.
GECCO
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2014 B conf
Unsupervised learning for edge detection using Genetic Programming.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 J jnl
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Trans. Evol. Comput.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
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 — conf
A One-Shot Learning Approach to Image Classification Using Genetic Programming.
Australasian Conference on Artificial Intelligence
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
2013 Misc conf
A feature-based region growing-merging approach to color image segmentation.
IVCNZ
Saeed Mirghasemi, Ramesh Kumar Rayudu, Mengjie Zhang
2013 Misc conf
A new image segmentation algorithm based on modified seeded region growing and particle swarm optimization.
IVCNZ
Saeed Mirghasemi, Ramesh Kumar Rayudu, Mengjie Zhang
2013 J jnl
A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images.
Inf. Sci.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2013 J jnl
A performance study on synchronicity and neighborhood size in particle swarm optimization.
Soft Comput.
Juan Rada-Vilela, Mengjie Zhang, Winston Seah
2013 — conf
Adaptive artificial datasets through learning classifier systems for classification tasks.
GECCO (Companion)
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013 J jnl
Adaptive artificial datasets through learning classifier systems for classification tasks.
Evol. Intell.
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013 — conf
Adaptive artificial datasets to discover the effects of domain features for classification tasks.
GECCO (Companion)
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2013 B conf
An adaptive genetic programming approach to QoS-aware web services composition.
IEEE Congress on Evolutionary Computation
Yang Yu, Hui Ma, Mengjie Zhang
2013 B conf
Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming.
EvoApplications
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 Misc conf
Binary image classification using genetic programming based on local binary patterns.
IVCNZ
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
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 — conf
Comparing ensemble learning approaches in genetic programming for classification with unbalanced data.
GECCO (Companion)
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2013 — conf
Comparison of two methods for computing action values in XCS with code-fragment actions.
GECCO (Companion)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013 — ch.
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach.
Automated Scheduling and Planning
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 B conf
Enhanced feature selection for biomarker discovery in LC-MS data using GP.
IEEE Congress on Evolutionary Computation
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2013 B conf
Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming.
IEEE Congress on Evolutionary Computation
Aaron Scoble, Will N. Browne, Bill Stephenson, Zane Bruce, Mengjie Zhang
2013 J jnl
Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Evol. Comput.
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
2013 — conf
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming.
Australasian Conference on Artificial Intelligence
John Park, Su Nguyen, Mark Johnston, Mengjie Zhang
2013 J jnl
Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.
Soft Comput.
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013 A conf
Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems.
GECCO
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013 — conf
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach.
EvoBIO
Soha Ahmed, Mengjie Zhang, Lifeng Peng
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 Misc conf
Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation.
IVCNZ
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 B conf
Genetic Programming for Automatic Construction of Variant Features in Edge Detection.
EvoApplications
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 — conf
Genetic Programming with Greedy Search for Web Service Composition.
DEXA (2)
Anqi Wang, Hui Ma, Mengjie Zhang
2013 A conf
Genetic programming for edge detection using multivariate density.
GECCO
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 B conf
Genetic programming for order acceptance and scheduling.
IEEE Congress on Evolutionary Computation
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
2013 J jnl
Hybrid evolutionary computation methods for quay crane scheduling problems.
Comput. Oper. Res.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 B conf
Hybridisation of Genetic Programming and Nearest Neighbour for classification.
IEEE Congress on Evolutionary Computation
Harith Al-Sahaf, Andy Song, Mengjie Zhang
2013 Misc conf
Investigation of low-level edge feature extraction using three blocks.
IVCNZ
Wenlong Fu, Mark Johnston, Mengjie Zhang
2013 B conf
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.
EuroGP
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2013 J jnl
Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.
Evol. Intell.
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2013 B conf
Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems.
IEEE Congress on Evolutionary Computation
Muhammad Iqbal, Will N. Browne, 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
Optimal computing budget allocation in particle swarm optimization.
GECCO
Juan Rada-Vilela, Mengjie Zhang, Mark Johnston
2013 A conf
PSO for feature construction and binary classification.
GECCO
Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne
2013 J jnl
Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming.
IEEE Trans. Evol. Comput.
Huayang Xie, Mengjie Zhang
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
2013 B conf
Resampling in Particle Swarm Optimization.
IEEE Congress on Evolutionary Computation
Juan Rada-Vilela, Mengjie Zhang, Mark Johnston
2013 Misc conf
Sparse representations in deep learning for noise-robust digit classification.
IVCNZ
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
2013 J jnl
Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial].
IEEE Comput. Intell. Mag.
Mengjie Zhang, Mario Koeppen, Sergio Damas
2013 B conf
The effect of primitive sets on the expression of evolved images.
IEEE Congress on Evolutionary Computation
Roman Klapaukh, Will N. Browne, Mengjie Zhang
2013 B conf
Triangular-distribution-based feature construction using Genetic Programming for edge detection.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
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 J jnl
A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming.
IEEE Trans. Evol. Comput.
Kourosh Neshatian, Mengjie Zhang, Peter Andreae
2012 — conf
A Genetic Programming Approach to Hyper-Heuristic Feature Selection.
SEAL
Rachel Hunt, Kourosh Neshatian, 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 B conf
A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.
IEEE Congress on Evolutionary Computation
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
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 B conf
A performance study on the effects of noise and evaporation in Particle Swarm Optimization.
IEEE Congress on Evolutionary Computation
Juan Rada-Vilela, Mengjie Zhang, Winston Seah
2012 — conf
A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images.
GECCO (Companion)
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2012 J jnl
Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks.
Soft Comput.
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2012 — conf
Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements.
SEAL
Rohitash Chandra, Mengjie Zhang, Lifeng Peng
2012 — conf
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection.
Australasian Conference on Artificial Intelligence
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 — conf
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.
SEAL
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
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 J jnl
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction.
Neurocomputing
Rohitash Chandra, Mengjie Zhang
2012 J jnl
Crossover-based local search in cooperative co-evolutionary feedforward neural networks.
Appl. Soft Comput.
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2012 J jnl
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Syst. Man Cybern. Part B
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2012 B conf
Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images.
IEEE Congress on Evolutionary Computation
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2012 — conf
Evaporation Mechanisms for Particle Swarm Optimization.
SEAL
Juan Rada-Vilela, Mengjie Zhang, Winston Seah
2012 B conf
Evolving Genetic Programming classifiers with loop structures.
IEEE Congress on Evolutionary Computation
Fahmi Abdulhamid, Andy Song, Kourosh Neshatian, Mengjie Zhang
2012 B conf
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.
EuroGP
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
2012 A conf
Extracting and using building blocks of knowledge in learning classifier systems.
GECCO
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2012 B conf
Extracting image features for classification by two-tier genetic programming.
IEEE Congress on Evolutionary Computation
Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang
2012 — conf
Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection.
SEAL
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 — conf
Genetic Programming for Biomarker Detection in Mass Spectrometry Data.
Australasian Conference on Artificial Intelligence
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2012 J jnl
Genetic programming for detecting target motions.
Connect. Sci.
Andy Song, Mengjie Zhang
2012 — conf
Genetic programming for edge detection based on figure of merit.
GECCO (Companion)
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 A conf
Genetic programming for edge detection using blocks to extract features.
GECCO
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 B conf
Genetic programming for edge detection via balancing individual training images.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 Misc conf
Genetic programming for improving image descriptors generated using the scale-invariant feature transform.
IVCNZ
Samuel Hindmarsh, Peter Andreae, Mengjie Zhang
2012 J jnl
Impacts of sampling strategies in tournament selection for genetic programming.
Soft Comput.
Huayang Xie, Mengjie Zhang
2012 B conf
Improving Relevance Measures Using Genetic Programming.
EuroGP
Kourosh Neshatian, Mengjie Zhang
2012 — conf
Local Search in Parallel Linear Genetic Programming for Multiclass Classification.
Australasian Conference on Artificial Intelligence
Aaron Scoble, Mark Johnston, Mengjie Zhang
2012 Misc conf
Multi-frequency transformation for edge detection.
IVCNZ
Wenlong Fu, Mark Johnston, Mengjie Zhang
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 J jnl
On the issue of separability for problem decomposition in cooperative neuro-evolution.
Neurocomputing
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2012 B conf
Opinion Target Extraction for Short Comments.
PRICAI
Lin Shang, Haipeng Wang, Xinyu Dai, Mengjie Zhang
2012 — conf
Opponent's Style Modeling Based on Situations for Bayesian Poker.
Australasian Conference on Artificial Intelligence
Ruobing Li, Wenkai Li, Lin Shang, Yang Gao, Mengjie Zhang
2012 J jnl
Parallel linear genetic programming for multi-class classification.
Genet. Program. Evolvable Mach.
Carlton Downey, Mengjie Zhang, Jing Liu
2012 B conf
Scalability analysis of genetic programming classifiers.
IEEE Congress on Evolutionary Computation
Rachel Hunt, Kourosh Neshatian, Mengjie Zhang
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
2012 B conf
Soft edge maps from edge detectors evolved by genetic programming.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2012 J jnl
Two-Tier genetic programming: towards raw pixel-based image classification.
Expert Syst. Appl.
Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang
2012 A conf
Two-cornered learning classifier systems for pattern generation and classification.
GECCO
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2012 A conf
XCS-based versus UCS-based feature pattern classification system.
GECCO
Toktam Ebadi, Mengjie Zhang, Will N. Browne
2012 — conf
XCSR with Computed Continuous Action.
Australasian Conference on Artificial Intelligence
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
2011 — conf
A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation.
EvoApplications (1)
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 B conf
A domain independent Genetic Programming approach to automatic feature extraction for image classification.
IEEE Congress on Evolutionary Computation
Daniel L. Atkins, Kourosh Neshatian, Mengjie Zhang
2011 A conf
A genetic programming based hyper-heuristic approach for combinatorial optimisation.
GECCO
Su Nguyen, Mengjie Zhang, Mark Johnston
2011 B conf
A memetic framework for cooperative coevolution of recurrent neural networks.
IJCNN
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2011 B conf
A memetic particle swarm optimization for constrained multi-objective optimization problems.
IEEE Congress on Evolutionary Computation
Jingxuan Wei, Mengjie Zhang
2011 A conf
A performance study on synchronous and asynchronous updates in particle swarm optimization.
GECCO
Juan Rada-Vilela, Mengjie Zhang, Winston Seah
2011 — conf
Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems.
GECCO (Companion)
Jingxuan Wei, Mengjie Zhang
2011 — conf
Automatic feature extraction and image classification using genetic programming.
ICARA
Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang
2011 — conf
Automatically defined functions for learning classifier systems.
GECCO (Companion)
Muhammad Iqbal, Mengjie Zhang, Will N. Browne
2011 — conf
Caching for parallel linear genetic programming.
GECCO (Companion)
Carlton Downey, Mengjie Zhang
2011 — conf
Confusion matrices for improving performance of feature pattern classifier systems.
GECCO (Companion)
Ignas Kukenys, Will N. Browne, Mengjie Zhang
2011 J jnl
Depth-control strategies for crossover in tree-based genetic programming.
Soft Comput.
Huayang Xie, Mengjie Zhang
2011 A conf
Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation.
GECCO
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 — conf
Developing an evolvable pattern generator using learning classifier systems.
ICARA
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang
2011 B conf
Edge detection using constrained discrete particle swarm optimisation in noisy images.
IEEE Congress on Evolutionary Computation
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 — conf
Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming.
Australasian Conference on Artificial Intelligence
Aaron Scoble, Mark Johnston, Mengjie Zhang
2011 J jnl
Encoding subcomponents in cooperative co-evolutionary recurrent neural networks.
Neurocomputing
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang, Christian W. Omlin
2011 — conf
Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2011 A conf
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data.
GECCO
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2011 B conf
Execution trace caching for Linear Genetic Programming.
IEEE Congress on Evolutionary Computation
Carlton Downey, Mengjie Zhang
2011 J jnl
Experience of Teaching Computational Intelligence in an Undergraduate Level Course [Educational Forum].
IEEE Comput. Intell. Mag.
Mengjie Zhang
2011 — conf
Genetic Programming for Edge Detection Based on Accuracy of Each Training Image.
Australasian Conference on Artificial Intelligence
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 B conf
Genetic programming for edge detection: A global approach.
IEEE Congress on Evolutionary Computation
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 — conf
Genetic programming for evolving programs with loop structures for classification tasks.
ICARA
Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang
2011 J jnl
Guest Editorial: special issue on evolutionary optimisation and learning.
Soft Comput.
Mengjie Zhang, Michael Kirley, Xiaodong Li
2011 A conf
Hybrid particle swarm optimisation based on history information sharing.
GECCO
Wenlong Fu, Mark Johnston, Mengjie Zhang
2011 — conf
Improving Robustness of Multiple-Objective Genetic Programming for Object Detection.
Australasian Conference on Artificial Intelligence
Rachel Hunt, Mark Johnston, Mengjie Zhang
2011 — conf
Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images.
Australasian Conference on Artificial Intelligence
Mahdi Setayesh, Mengjie Zhang, Mark Johnston
2011 B conf
Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting.
IEEE Congress on Evolutionary Computation
Anna Friedlander, Kourosh Neshatian, Mengjie Zhang
2011 B conf
Modularity adaptation in cooperative coevolution of feedforward neural networks.
IJCNN
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2011 B conf
Parallel Linear Genetic Programming.
EuroGP
Carlton Downey, Mengjie Zhang
2011 J jnl
Particle swarm optimisation based AdaBoost for object detection.
Soft Comput.
Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang
2011 — conf
Random Asynchronous PSO.
ICARA
Juan Rada-Vilela, Mengjie Zhang, Winston Seah
2011 — conf
Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization.
Australasian Conference on Artificial Intelligence
Jingxuan Wei, Mengjie Zhang
2011 — conf
Transparent, Online Image Pattern Classification Using a Learning Classifier System.
EvoApplications (1)
Ignas Kukenys, Will N. Browne, Mengjie Zhang
2011 J jnl
Using genetic programming for context-sensitive feature scoring in classification problems.
Connect. Sci.
Kourosh Neshatian, Mengjie Zhang
2010 — conf
A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2010 B conf
A Relaxed Approach to Simplification in Genetic Programming.
EuroGP
Mark Johnston, Thomas Liddle, Mengjie Zhang
2010 A conf
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data.
GECCO
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2010 — conf
An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks.
Australasian Conference on Artificial Intelligence
Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2010 B conf
Analysis of Building Blocks with Numerical Simplification in Genetic Programming.
EuroGP
David Kinzett, Mengjie Zhang, Mark Johnston
2010 B conf
Contribution based bloat control in Genetic Programming.
IEEE Congress on Evolutionary Computation
Andy Song, Dunhai Chen, Mengjie Zhang
2010 — conf
Edge and Corner Extraction Using Particle Swarm Optimisation.
Australasian Conference on Artificial Intelligence
Mahdi Setayesh, Mark Johnston, Mengjie Zhang
2010 B conf
Evolution of aesthetically pleasing images without human-in-the-loop.
IEEE Congress on Evolutionary Computation
Daniel L. Atkins, Roman Klapaukh, Will N. Browne, Mengjie Zhang
2010 B conf
Genetic Programming for Classification with Unbalanced Data.
EuroGP
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2010 — conf
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search.
Australasian Conference on Artificial Intelligence
Wenlong Fu, Mark Johnston, Mengjie Zhang
2010 B conf
Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs.
IEEE Congress on Evolutionary Computation
David Kinzett, Mengjie Zhang, Mark Johnston
2010 B conf
Multi-Objective Genetic Programming for object detection.
IEEE Congress on Evolutionary Computation
Thomas Liddle, Mark Johnston, Mengjie Zhang
2010 A conf
New crossover operators in linear genetic programming for multiclass object classification.
GECCO
Carlton Downey, Mengjie Zhang, Will N. Browne
2010 — conf
Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks.
EvoApplications (2)
Nor Azlina Bt Ab. Aziz, Ammar W. Mohemmed, Mengjie Zhang
2010 A conf
Particle swarm optimisation for outlier detection.
GECCO
Ammar W. Mohemmed, Mengjie Zhang, Will N. Browne
2010 — conf
Sampling Methods in Genetic Programming for Classification with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Rachel Hunt, Mark Johnston, Will N. Browne, Mengjie Zhang
2010 B conf
Using unrestricted loops in genetic programming for image classification.
IEEE Congress on Evolutionary Computation
Jan Larres, Mengjie Zhang, Will N. Browne
2009 — conf
An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms.
ACAL
Huayang Xie, Mengjie Zhang
2009 — conf
Balancing Parent and Offspring Selection in Genetic Programming.
Australasian Conference on Artificial Intelligence
Huayang Xie, Mengjie Zhang
2009 A conf
Bloat control in genetic programming by evaluating contribution of nodes.
GECCO
Andy Song, Dunhai Chen, Mengjie Zhang
2009 B conf
Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data.
IEEE Congress on Evolutionary Computation
Urvesh Bhowan, Mark Johnston, Mengjie Zhang
2009 — conf
Evolutionary computer vision.
GECCO (Companion)
Mengjie Zhang, Stefano Cagnoni, Gustavo Olague
2009 J jnl
Evolving More Representative Programs with Genetic Programming.
Int. J. Softw. Eng. Knowl. Eng.
Daniel McGaughran, Mengjie Zhang
2009 B conf
Genetic Programming for Feature Subset Ranking in Binary Classification Problems.
EuroGP
Kourosh Neshatian, Mengjie Zhang
2009 — ch.
Genetic Programming for Object Detection: a Two-phase Approach with an Improved Fitness Function.
Progress in Computer Vision and Image Analysis
Mengjie Zhang, Urvesh Bhowan, Bunna Ny
2009 A conf
How online simplification affects building blocks in genetic programming.
GECCO
David Kinzett, Mark Johnston, Mengjie Zhang
2009 — conf
Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Australasian Conference on Artificial Intelligence
Urvesh Bhowan, Mengjie Zhang, Mark Johnston
2009 J jnl
Numerical simplification for bloat control and analysis of building blocks in genetic programming.
Evol. Intell.
David Kinzett, Mark Johnston, Mengjie Zhang
2009 A conf
Pareto front feature selection: using genetic programming to explore feature space.
GECCO
Kourosh Neshatian, Mengjie Zhang
2009 B conf
Particle Swarm Optimization based Adaboost for face detection.
IEEE Congress on Evolutionary Computation
Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston
2009 A conf
Particle swarm optimization based multi-prototype ensembles.
GECCO
Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang
2009 — conf
Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm.
CIRA
Rohitash Chandra, Mengjie Zhang, Luc Rolland
2009 J jnl
Special issue on simulated evolution and learning.
Evol. Intell.
Michael Kirley, Mengjie Zhang, Xiaodong Li
2009 — conf
Unsupervised Elimination of Redundant Features Using Genetic Programming.
Australasian Conference on Artificial Intelligence
Kourosh Neshatian, Mengjie Zhang
2008 — conf
A PSO Based Adaboost Approach to Object Detection.
SEAL
Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston
2008 — ed.
AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings
Australasian Conference on Artificial Intelligence
Wayne Wobcke, Mengjie Zhang
2008 A conf
An analysis of multi-sampled issue and no-replacement tournament selection.
GECCO
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston
2008 B conf
An analysis of the distribution of swapped subtree sizes in tree-based genetic programming.
IEEE Congress on Evolutionary Computation
Huayang Xie, Mengjie Zhang, Peter Andreae
2008 B conf
Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem.
EvoCOP
Ammar W. Mohemmed, Mengjie Zhang, Nirod Chandra Sahoo
2008 J jnl
Detecting data records in semi-structured web sites based on text token clustering.
Integr. Comput. Aided Eng.
Xiaoying Gao, Le Phong Bao Vuong, Mengjie Zhang
2008 B conf
Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG.
IEEE Congress on Evolutionary Computation
William D. Smart, Mengjie Zhang
2008 B conf
Evaluation of particle swarm optimization based centroid classifier with different distance metrics.
IEEE Congress on Evolutionary Computation
Ammar W. Mohemmed, Mengjie Zhang
2008 J jnl
Explicitly Simplifying Evolved Genetic Programs during Evolution.
Int. J. Comput. Intell. Appl.
Mengjie Zhang, Phillip Wong
2008 B conf
Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems.
EuroGP
Kourosh Neshatian, Mengjie Zhang
2008 — conf
Genetic Programming for Feature Ranking in Classification Problems.
SEAL
Kourosh Neshatian, Mengjie Zhang, Peter Andreae
2008 J jnl
Genetic Programming for detecting rhythmic stress in spoken English.
Int. J. Knowl. Based Intell. Eng. Syst.
Peter Andreae, Huayang Xie, Mengjie Zhang
2008 J jnl
Genetic programming for medical classification: a program simplification approach.
Genet. Program. Evolvable Mach.
Mengjie Zhang, Phillip Wong
2008 B conf
Genetic programming for performance improvement and dimensionality reduction of classification problems.
IEEE Congress on Evolutionary Computation
Kourosh Neshatian, Mengjie Zhang
2008 B conf
Is the not-sampled issue in tournament selection critical?
IEEE Congress on Evolutionary Computation
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston
2008 — conf
Object Detection Using Neural Networks and Genetic Programming.
EvoWorkshops
Barret Chin, Mengjie Zhang
2008 B conf
SCHEME: Caching subtrees in genetic programming.
IEEE Congress on Evolutionary Computation
Phillip Wong, Mengjie Zhang
2008 — ed.
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings
SEAL
Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi
2008 — conf
Using Numerical Simplification to Control Bloat in Genetic Programming.
SEAL
David Kinzett, Mengjie Zhang, Mark Johnston
2007 J jnl
A New Crossover Operator in Genetic Programming for Object Classification.
IEEE Trans. Syst. Man Cybern. Part B
Mengjie Zhang, Xiaoying Gao, Weijun Lou
2007 J jnl
A linear structured approach and a refined fitness function in genetic programming for multi-class object classification.
Connect. Sci.
Mengjie Zhang, Christopher Fogelberg, Yuejin Ma
2007 A conf
An analysis of constructive crossover and selection pressure in genetic programming.
GECCO
Huayang Xie, Mengjie Zhang, Peter Andreae
2007 B conf
An analysis of depth of crossover points in tree-based Genetic Programming.
IEEE Congress on Evolutionary Computation
Huayang Xie, Mengjie Zhang, Peter Andreae
2007 A conf
Another investigation on tournament selection: modelling and visualisation.
GECCO
Huayang Xie, Mengjie Zhang, Peter Andreae
2007 C conf
Automatic Data Record Detection in Web Pages.
KSEM
Xiaoying Gao, Le Phong Bao Vuong, Mengjie Zhang
2007 B conf
Effects of program simplification on simple building blocks in Genetic Programming.
IEEE Congress on Evolutionary Computation
Phillip Wong, Mengjie Zhang
2007 B conf
Empirical Analysis of GP Tree-Fragments.
EuroGP
William D. Smart, Peter Andreae, Mengjie Zhang
2007 — conf
Feature Construction and Dimension Reduction Using Genetic Programming.
Australian Conference on Artificial Intelligence
Kourosh Neshatian, Mengjie Zhang, Mark Johnston
2007 — conf
Fitness Functions in Genetic Programming for Classification with Unbalanced Data.
Australian Conference on Artificial Intelligence
Grant Patterson, Mengjie Zhang
2007 — conf
Genetic Programming for Image Recognition: An LGP Approach.
EvoWorkshops
Mengjie Zhang, Christopher Fogelberg
2007 B conf
Genetic Programming for New Zealand CPI Inflation Prediction.
IEEE Congress on Evolutionary Computation
Huayang Xie, Mengjie Zhang, Peter Andreae
2007 J jnl
Improving Object Detection Performance with Genetic Programming.
Int. J. Artif. Intell. Tools
Mengjie Zhang
2007 A conf
Numerical-node building block analysis of genetic programming with simplification.
GECCO
Phillip Lee-Ming Wong, Mengjie Zhang
2007 — conf
Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques.
FBIT
Krzysztof Krawiec, Daniel Howard, Mengjie Zhang
2006 B conf
A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming.
IEEE Congress on Evolutionary Computation
Huayang Xie, Mengjie Zhang, Peter Andreae
2006 A conf
Algebraic simplification of GP programs during evolution.
GECCO
Phillip Wong, Mengjie Zhang
2006 — conf
Automatic Selection Pressure Control in Genetic Programming.
ISDA (1)
Huayang Xie, Mengjie Zhang, Peter Andreae
2006 — conf
Data Extraction from Semi-structured Web Pages by Clustering.
Web Intelligence
Le Phong Bao Vuong, Xiaoying Gao, Mengjie Zhang
2006 — conf
GP for Object Classification: Brood Size in Brood Recombination Crossover.
Australian Conference on Artificial Intelligence
Mengjie Zhang, Xiaoying Gao, Weijun Lou
2006 — conf
Genetic Programming for Automatic Stress Detection in Spoken English.
EvoWorkshops
Huayang Xie, Mengjie Zhang, Peter Andreae
2006 J jnl
Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data.
IEEE Intell. Informatics Bull.
Mengjie Zhang, Malcolm Lett
2006 — conf
Information Extraction from A Whole Web Site.
AMT
Xiaoying Gao, Mengjie Zhang
2006 B conf
Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition.
PRICAI
Mengjie Zhang, Xiaoying Gao, Weijun Lou, Dongping Qian
2006 — conf
Localisation Fitness in GP for Object Detection.
EvoWorkshops
Mengjie Zhang, Malcolm Lett
2006 B conf
Looseness Controlled Crossover in GP for Object Recognition.
IEEE Congress on Evolutionary Computation
Mengjie Zhang, Xiaoying Gao, Weijun Lou
2006 B conf
Modelling Citation Networks for Improving Scientific Paper Classification Performance.
PRICAI
Mengjie Zhang, Xiaoying Gao, Minh Duc Cao, Yuejin Ma
2006 — conf
Neural Networks for Scientific Paper Classification.
ICICIC (2)
Mengjie Zhang, Xiaoying Gao, Minh Duc Cao, Yuejin Ma
2006 — conf
Online Program Simplification in Genetic Programming.
SEAL
Mengjie Zhang, Phillip Wong, Dongping Qian
2006 B conf
Population Clustering in Genetic Programming.
EuroGP
Huayang Xie, Mengjie Zhang, Peter Andreae
2006 — conf
Refining Fitness Functions and Optimising Training Data in GP for Object Detection.
SEAL
Mengjie Zhang, Malcolm Lett, Yuejin Ma
2006 — conf
TreeWrapper: Automatic Data Extraction Based on Tree Representation.
Australian Conference on Artificial Intelligence
Xiaoying Gao, Mengjie Zhang, Minh Duc Cao
2006 J jnl
Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification.
Pattern Recognit. Lett.
Mengjie Zhang, William D. Smart
2005 J jnl
A new approach to multiple class pattern classification with random matrices.
Adv. Decis. Sci.
Dong Qian Wang, Mengjie Zhang
2005 — conf
Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems.
Australian Conference on Artificial Intelligence
Guang Chen, Mengjie Zhang
2005 — conf
Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition.
EvoWorkshops
Mengjie Zhang, William D. Smart
2005 — conf
Linear Genetic Programming for Multi-class Object Classification.
Australian Conference on Artificial Intelligence
Christopher Fogelberg, Mengjie Zhang
2005 — ch.
Mining Small Objects in Large Images Using Neural Networks.
Foundations of Data Mining and knowledge Discovery
Mengjie Zhang
2005 — conf
Program Simplification in Genetic Programming for Object Classification.
KES (3)
Mengjie Zhang, Yun Zhang, William D. Smart
2005 B conf
Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems.
EuroGP
William D. Smart, Mengjie Zhang
2004 J jnl
A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites.
Int. J. Artif. Intell. Tools
Xiaoying Gao, Mengjie Zhang
2004 B conf
A Two Phase Genetic Programming Approach to Object Detection.
KES
Mengjie Zhang, Peter Andreae, Urvesh Bhowan
2004 — conf
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition.
ACSW
William D. Smart, Mengjie Zhang
2004 J jnl
Automatic Pattern Construction For Web Information Extraction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Xiaoying Gao, Mengjie Zhang, Peter Andreae
2004 — conf
Detecting Stress in Spoken English using Decision Trees and Support Vector Machines.
ACSW
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Warren
2004 B conf
False Alarm Filter in Neural Networks for Multiclass Object Detection.
KES
Mengjie Zhang, Bunna Ny
2004 B conf
Genetic Programming with Gradient Descent Search for Multiclass Object Classification.
EuroGP
Mengjie Zhang, William D. Smart
2004 — conf
Learning Models for English Speech Recognition.
ACSC
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Warren
2004 — conf
Multiclass Object Classification Using Genetic Programming.
EvoWorkshops
Mengjie Zhang, William D. Smart
2004 J jnl
Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection.
Int. J. Comput. Intell. Appl.
Mengjie Zhang, Victor Ciesielski
2004 B conf
Probability Based Genetic Programming for Multiclass Object Classification.
PRICAI
William D. Smart, Mengjie Zhang
2004 — conf
Program Size and Pixel Statistics in Genetic Programming for Object Detection.
EvoWorkshops
Mengjie Zhang, Urvesh Bhowan
2003 J jnl
A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming.
EURASIP J. Adv. Signal Process.
Mengjie Zhang, Victor Ciesielski, Peter Andreae
2003 — conf
Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling.
Web Intelligence
Xiaoying Gao, Mengjie Zhang, Peter Andreae
2003 — conf
Learning Knowledge Bases for Information Extraction from Multiple Text Based Web Sites.
IAT
Xiaoying Gao, Mengjie Zhang
2003 — conf
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection.
EvoWorkshops
Mengjie Zhang, Peter Andreae, Mark Pritchard
1999 — conf
Genetic Programming for Multiple Class Object Detection.
Australian Joint Conference on Artificial Intelligence
Mengjie Zhang, Victor Ciesielski
1999 C conf
Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection.
DEXA
Mengjie Zhang, Victor Ciesielski