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A Survey on Evolutionary Neural Architecture Search

Aug 25, 2020
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary Yen

* 19 pages, 3 figures 

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Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising

Aug 15, 2020
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang

* 8 pages, 4 figures, to be published in IJCNN 2020 

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Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification

Jul 03, 2020
Bin Wang, Bing Xue, Mengjie Zhang


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A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems

Jun 02, 2020
Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang


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Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks

May 17, 2020
Trung B. Nguyen, Will N. Browne, Mengjie Zhang

* accepted by The Genetic and Evolutionary Computation Conference (GECCO 2020) 

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Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions

Apr 23, 2020
Trung B. Nguyen, Will N. Browne, Mengjie Zhang


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An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML

Jan 28, 2020
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang

* 18 pages (single column), 2 figures 

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Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation

Jan 27, 2020
Andrew Lensen, Bing Xue, Mengjie Zhang

* Accepted by IEEE Transactions on Cybernetics, 2020 

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Improving generalisation of AutoML systems with dynamic fitness evaluations

Jan 23, 2020
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang

* 19 pages, 4 figures 

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Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality

Jan 05, 2020
Andrew Lensen, Mengjie Zhang, Bing Xue

* 31 pages, pre-print accepted by Genetic Programming and Evolvable Machines journal 

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Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems

Nov 20, 2019
Jordan MacLachlan, Yi Mei, Juergen Branke, Mengjie Zhang


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Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis

Oct 22, 2019
Andrew Lensen, Bing Xue, Mengjie Zhang

* 29 pages, accepted by Evolutionary Computation (Journal), MIT Press 

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Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification

Sep 28, 2019
Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang


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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

Aug 12, 2019
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng

* 13 pages, conference paper, containing 2 figures 

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Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks

Jul 29, 2019
Bin Wang, Bing Xue, Mengjie Zhang

* Under review of Australasian Joint Conference on Artificial Intelligence 2019 

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A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks

Mar 10, 2019
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang


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Can Genetic Programming Do Manifold Learning Too?

Feb 08, 2019
Andrew Lensen, Bing Xue, Mengjie Zhang

* 16 pages, accepted in EuroGP '19 

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Automatically Evolving CNN Architectures Based on Blocks

Oct 28, 2018
Yanan Sun, Bing Xue, Mengjie Zhang


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Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization

Sep 05, 2018
Gang Chen, Yiming Peng, Mengjie Zhang


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A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification

Aug 22, 2018
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang

* Accepted by The Australasian Joint Conference on Artificial Intelligence 2018 

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Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification

Aug 11, 2018
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen


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An Adaptive Clipping Approach for Proximal Policy Optimization

Apr 17, 2018
Gang Chen, Yiming Peng, Mengjie Zhang


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Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming

Mar 20, 2018
Andrew Lensen, Bing Xue, Mengjie Zhang

* 16 pages, preprint for EuroGP '18 

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Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification

Mar 17, 2018
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang

* accepted by IEEE CEC 2018 

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A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification

Dec 13, 2017
Yanan Sun, Bing Xue, Mengjie Zhang


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Evolving Deep Convolutional Neural Networks for Image Classification

Oct 31, 2017
Yanan Sun, Bing Xue, Mengjie Zhang


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Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

Aug 01, 2016
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li

* to appear in European Conference on Computer Vision (ECCV) 2016 

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Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

Jul 26, 2016
Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn, Mengjie Zhang

* to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence 

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Domain Generalization for Object Recognition with Multi-task Autoencoders

Aug 31, 2015
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi

* accepted in ICCV 2015 

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