Mengjie Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 616

Top Venues

CEC

GECCO

IEEE Trans. Evol. Comput.

CoRR

This page only lists publications with an associated author ORCID identifier.

Publications

Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling. IEEE Trans. Cybern. 53 (7) (2023)
Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO (2023)
An-Da Li, Bing Xue, Mengjie Zhang
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Inf. Sci. 641 (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO (2023)
Ying Bi, Bing Xue, Mengjie Zhang
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53 (2) (2023)
Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, Mengjie Zhang
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing. IEEE Trans. Serv. Comput. 16 (4) (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626 (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53 (7) (2023)
Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Online Loss Function Learning. CoRR (2023)
Gonglin Yuan, Bing Xue, Mengjie Zhang
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO (2023)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. GECCO Companion (2023)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27 (3) (2023)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. CoRR (2023)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Trans. Cybern. 53 (5) (2023)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140 (2023)
João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
Learning to Select Initialisation Heuristic for Vehicle Routing Problems. GECCO (2023)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO (2023)
Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27 (3) (2023)
Bing Xue, Mengjie Zhang
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion (2023)
Siyi Li, Yanan Sun, Gary G. Yen, Mengjie Zhang
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion (2023)
Ya-Hui Jia, Yi Mei, Mengjie Zhang
Learning Heuristics With Different Representations for Stochastic Routing. IEEE Trans. Cybern. 53 (5) (2023)
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion (2023)
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal
Learning Emergency Medical Dispatch Policies Via Genetic Programming. GECCO (2023)
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. GECCO Companion (2023)
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27 (2) (2023)
Ya-Hui Jia, Yi Mei, Mengjie Zhang
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization. IEEE Trans. Cybern. 53 (3) (2023)
Mengjie Zhang, Stefano Cagnoni
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion (2023)
Ying Bi, Bing Xue, Mengjie Zhang
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53 (5) (2023)
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems. IEEE Trans. Evol. Comput. 27 (4) (2023)
Fangfang Zhang, Yi Mei, Mengjie Zhang
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. GECCO Companion (2023)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27 (4) (2023)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27 (2) (2023)
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang
Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling. GECCO (2023)
Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. GECCO (2023)
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27 (1) (2023)
Ruwang Jiao, Bing Xue, Mengjie Zhang
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53 (8) (2023)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Cybern. 52 (8) (2022)
Qurrat UI Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. ICDM (Workshops) (2022)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. SSCI (2022)
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. 52 (10) (2022)
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26 (3) (2022)
Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14 (5) (2022)
Ya-Hui Jia, Yi Mei, Mengjie Zhang
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents. IEEE Trans. Cybern. 52 (6) (2022)
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52 (7) (2022)
Ya-Hui Jia, Yi Mei, Mengjie Zhang
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes. IEEE Trans. Evol. Comput. 26 (6) (2022)
João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems. GECCO (2022)
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR (2022)
Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52 (8) (2022)
Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26 (2) (2022)
Su Nguyen, Dhananjay R. Thiruvady, Mengjie Zhang, Damminda Alahakoon
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. IEEE Trans. Cybern. 52 (9) (2022)
Bin Wang, Bing Xue, Mengjie Zhang
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. CoRR (2022)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI (2022)
Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang
Feature fusion and kernel selective in Inception-v4 network. Appl. Soft Comput. 119 (2022)
Ying Bi, Bing Xue, Mengjie Zhang
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. CoRR (2022)
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling. SSCI (2022)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118 (2022)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26 (6) (2022)
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications (2022)
Muhammad Ali, Yifan Chen, Michael J. Cree, Mengjie Zhang
computation with sensor fusion and search acceleration for smart tumor homing. Comput. Biol. Medicine 148 (2022)
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
Deep Learning Model with GA based Feature Selection and Context Integration. CoRR (2022)
Qi Chen, Bing Xue, Mengjie Zhang
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 52 (4) (2022)
Ruwang Jiao, Bing Xue, Mengjie Zhang
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. AI (2022)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. CEC (2022)
Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. IVCNZ (2022)
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Genetic programming for automatic skin cancer image classification. Expert Syst. Appl. 197 (2022)
Leonardo Trujillo, Ting Hu, Nuno Lourenço, Mengjie Zhang
Editorial Introduction. Genet. Program. Evolvable Mach. 23 (3) (2022)
Shaolin Wang, Yi Mei, Mengjie Zhang
Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems. GECCO (2022)
Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. CEC (2022)
Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan
A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15 (10) (2022)
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion (2022)
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang
Graph-based linear genetic programming: a case study of dynamic scheduling. GECCO (2022)
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling. GECCO Companion (2022)
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. SSCI (2022)
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. CoRR (2022)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. CoRR (2022)
Andrew Lensen, Bing Xue, Mengjie Zhang
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26 (4) (2022)
Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. SSCI (2022)
Mengjie Zhang, Stefano Cagnoni
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion (2022)
Marko Durasevic, Domagoj Jakobovic, Yi Mei, Su Nguyen, Mengjie Zhang
Introduction to automated design of scheduling heuristics with genetic programming. GECCO Companion (2022)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. PPSN (2) (2022)
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang
Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching. CEC (2022)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI (2022)
Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds. IEEE Trans. Cloud Comput. 10 (3) (2022)
Michael Stanley, Andrew Lensen, Mengjie Zhang
Using Neural Networks to Automate Monitoring of Fish Stocks. SSCI (2022)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion (2022)
Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26 (1) (2022)
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. CoRR (2022)
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26 (4) (2022)
Bing Xue, Mengjie Zhang
Evolutionary computation for feature selection and feature construction. GECCO Companion (2022)
Sai Panda, Yi Mei, Mengjie Zhang
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling. EvoCOP (2022)
Ruwang Jiao, Bing Xue, Mengjie Zhang
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Bin Wang, Bing Xue, Mengjie Zhang
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. AI (2022)
Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. 52 (1) (2022)
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. CEC (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mengjie Zhang