Towards Genetic Programming for Texture Classification. - Andy Song; Thomas Loveard; Victor Ciesielski (Australian Joint Conference on Artificial Intelligence, 2001)

Vision System Development by Machine Learning: Hashing Assessment in Brewing. - Andy Song; Victor Ciesielski; Peter Rogers (Appl. Artif. Intell., 2001)

Texture classifiers generated by genetic programming. - Andy Song; Vic Ciesielski; Hugh E. Williams (IEEE Congress on Evolutionary Computation, 2002)

Fast texture segmentation using genetic programming. - Andy Song; Victor Ciesielski (IEEE Congress on Evolutionary Computation, 2003)

Multiobjective parsimony enforcement for superior generalisation performance. - Yaniv Bernstein; Xiaodong Li 001; Victor Ciesielski; Andy Song (IEEE Congress on Evolutionary Computation, 2004)

Texture analysis by genetic programming. - Andy Song; Victor Ciesielski (IEEE Congress on Evolutionary Computation, 2004)

Improving Generalisation Performance Through Multiobjective Parsimony Enforcement. - Yaniv Bernstein; Xiaodong Li 001; Victor Ciesielski; Andy Song (GECCO (2), 2004)

Fast video analysis by genetic programming. - Andy Song (IEEE Congress on Evolutionary Computation, 2008)

Robust method of detecting moving objects in videos evolved by genetic programming. - Andy Song; Danny Fang (GECCO, 2008)

Texture Segmentation by Genetic Programming. - Andy Song; Victor Ciesielski (Evol. Comput., 2008)

Learning Motion Detectors by Genetic Programming. - Brian Pinto; Andy Song (Australasian Conference on Artificial Intelligence, 2009)

Motion detection in complex environments by genetic programming. - Brian Pinto; Andy Song (GECCO (Companion), 2009)

Bloat control in genetic programming by evaluating contribution of nodes. - Andy Song; Dunhai Chen; Mengjie Zhang 001 (GECCO, 2009)

Contribution based bloat control in Genetic Programming. - Andy Song; Dunhai Chen; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

Study of GP representations for motion detection with unstable background. - Andy Song; Brian Pinto (IEEE Congress on Evolutionary Computation, 2010)

Selective motion detection by Genetic Programming. - Qiao Shi; Andy Song (IEEE Congress on Evolutionary Computation, 2011)

Evolving automatic frame splitters. - Andy Song; Feng Xie 001 (GECCO (Companion), 2011)

Evolutionary Design of Optical Waveguide with Multiple Objectives. - Qiao Shi; Andy Song; Thach G. Nguyen; Arnan Mitchell (ACSC, 2012)

Learning Time Series Patterns by Genetic Programming. - Feng Xie 001; Andy Song; Victor Ciesielski (ACSC, 2012)

Evolving Event Detectors in Multi-channel Sensor Data. - Feng Xie 001; Andy Song; Victor Ciesielski (Australasian Conference on Artificial Intelligence, 2012)

Evolving Genetic Programming classifiers with loop structures. - Fahmi Abdulhamid; Andy Song; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

Extracting image features for classification by two-tier genetic programming. - Harith Al-Sahaf; Andy Song; Kourosh Neshatian; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2012)

Analysis of motion detectors evolved by Genetic Programming. - Qiao Shi; Wei Yin; Andy Song (IEEE Congress on Evolutionary Computation, 2012)

Evolving frame splitters by Genetic Programming. - Feng Xie 001; Andy Song (IEEE Congress on Evolutionary Computation, 2012)

Event detection in time series by genetic programming. - Feng Xie 001; Andy Song; Victor Ciesielski (IEEE Congress on Evolutionary Computation, 2012)

Genetic programming for detecting target motions. - Andy Song; Mengjie Zhang 001 (Connect. Sci., 2012)

Two-Tier genetic programming: towards raw pixel-based image classification. - Harith Al-Sahaf; Andy Song; Kourosh Neshatian; Mengjie Zhang 001 (Expert Syst. Appl., 2012)

Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming. - Feng Xie 001; Andy Song; Flora Dilys Salim; Athman Bouguettaya; Timos K. Sellis; Doug Bradbrook (Australasian Conference on Artificial Intelligence, 2013)

Hybridisation of Genetic Programming and Nearest Neighbour for classification. - Harith Al-Sahaf; Andy Song; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2013)

Towards scene text recognition with genetic programming. - Brendan Barlow; Andy Song (IEEE Congress on Evolutionary Computation, 2013)

Rice leaf detection with genetic programming. - Minh Luan Nguyen; Victor Ciesielski; Andy Song (IEEE Congress on Evolutionary Computation, 2013)

Sensor-based activity recognition with improved GP-based classifier. - Feng Xie 001; A. Kai Qin; Andy Song; Victor Ciesielski (IEEE Congress on Evolutionary Computation, 2013)

Activity recognition by smartphone based multi-channel sensors with genetic programming. - Feng Xie 001; Andy Song; Victor Ciesielski (IEEE Congress on Evolutionary Computation, 2013)

Detecting PCB component placement defects by genetic programming. - Feng Xie 001; Alexandra L. Uitdenbogerd; Andy Song (IEEE Congress on Evolutionary Computation, 2013)

Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming. - Feng Xie 001; Andy Song; Victor Ciesielski (EvoApplications, 2013)

Evolving PCB visual inspection programs using genetic programming. - Feng Xie 001; Anh Hoang Dau; Alexandra L. Uitdenbogerd; Andy Song (IVCNZ, 2013)

Understanding of GP-Evolved Motion Detectors. - Andy Song; Qiao Shi; Wei Yin (IEEE Comput. Intell. Mag., 2013)

A genetic programming-based hyper-heuristic approach for storage location assignment problem. - Jing Xie 007; Yi Mei 001; Andreas T. Ernst; Xiaodong Li 001; Andy Song (IEEE Congress on Evolutionary Computation, 2014)

Genetic programming based activity recognition on a smartphone sensory data benchmark. - Feng Xie 001; Andy Song; Vic Ciesielski (IEEE Congress on Evolutionary Computation, 2014)

Phone based fall detection by genetic programming. - Anh Hoang Dau; Flora Dilys Salim; Andy Song; Lachlan Hedin; Margaret Hamilton 001 (MUM, 2014)

Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class. - Anh Hoang Dau; Victor Ciesielski; Andy Song (SEAL, 2014)

Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours. - Anh Hoang Dau; Andy Song; Feng Xie 001; Flora Dilys Salim; Vic Ciesielski (SEAL, 2014)

Dual Population Genetic Algorithm for the Cardinality Constrained Portfolio Selection Problem. - Nasser R. Sabar; Andy Song (SEAL, 2014)

Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming. - Jing Xie 007; Yi Mei 001; Andreas T. Ernst; Xiaodong Li 001; Andy Song (SEAL, 2014)

Learning Patterns of States in Time Series by Genetic Programming. - Feng Xie 001; Andy Song; Vic Ciesielski (SEAL, 2014)

A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows. - Nasser R. Sabar; Xiuzhen Jenny Zhang; Andy Song (CEC, 2015)

A Restricted Neighbourhood Tabu Search for Storage Location Assignment Problem. - Jing Xie 007; Yi Mei 001; Andreas T. Ernst; Xiaodong Li 001; Andy Song (CEC, 2015)

Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems. - Jing Xie 007; Yi Mei 001; Andy Song (GECCO (Companion), 2015)

A Memetic Algorithm for Dynamic Shortest Path Routing on Mobile Ad-hoc Networks. - Nasser R. Sabar; Andy Song; Zahir Tari; Xun Yi; Albert Y. Zomaya (ICPADS, 2015)

Efficient agglomerative hierarchical clustering. - Athman Bouguettaya; Qi Yu 001; Xumin Liu; Xiangmin Zhou; Andy Song (Expert Syst. Appl., 2015)

Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem. - Ayad Turky; Nasser R. Sabar; Abdul Sattar 001; Andy Song (Australasian Conference on Artificial Intelligence, 2016)

A multi-population memetic algorithm for dynamic shortest path routing in mobile ad-hoc networks. - Ayad Mashaan Turky; Nasser R. Sabar; Andy Song (CEC, 2016)

A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing. - Nasser R. Sabar; Andy Song; Mengjie Zhang 001 (EvoApplications (1), 2016)

Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing. - Nasser R. Sabar; Andy Song (GECCO, 2016)

Proceedings in Adaptation, Learning and Optimization. - Ayad Turky; Nasser R. Sabar; Andy Song (IES, 2016)

A Model Predictive Controller for Contention-Aware Resource Allocation in Virtualized Data Centers. - M. Reza HoseinyFarahabady; Young Choon Lee; Albert Y. Zomaya; Zahir Tari; Andy Song (MASCOTS, 2016)

A Multi-memory Multi-population Memetic Algorithm for Dynamic Shortest Path Routing in Mobile Ad-hoc Networks. - Nasser R. Sabar; Ayad Mashaan Turky; Andy Song (PRICAI, 2016)

Learning patterns of states from multi-channel time series using genetic programming. - Andy Song; Feng Xie 001; Vic Ciesielski (Soft Comput., 2016)

Clustering Big Spatiotemporal-Interval Data. - Wei Shao 006; Flora D. Salim; Andy Song; Athman Bouguettaya (IEEE Trans. Big Data, 2016)

Privacy Protection for Wireless Medical Sensor Data. - Xun Yi; Athman Bouguettaya; Dimitrios Georgakopoulos 001; Andy Song; Jan Willemson (IEEE Trans. Dependable Secur. Comput., 2016)

Neighbourhood Analysis: A Case Study on Google Machine Reassignment Problem. - Ayad Turky; Nasser R. Sabar; Andy Song (ACALCI, 2017)

Optimising Deep Belief Networks by hyper-heuristic approach. - Nasser R. Sabar; Ayad Turky; Andy Song; Abdul Sattar 001 (CEC, 2017)

Automated Shape Design by Grammatical Evolution. - Manuel Muehlbauer; Jane Burry; Andy Song (EvoMUSART, 2017)

Evolutionary Learning Based Iterated Local Search for Google Machine Reassignment Problems. - Ayad Turky; Nasser R. Sabar; Abdul Sattar 001; Andy Song (SEAL, 2017)

Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem. - Ayad Turky; Nasser R. Sabar; Abdul Sattar 001; Andy Song (SEAL, 2017)

A Verifiable Ranked Choice Internet Voting System. - Xuechao Yang; Xun Yi; Caspar Ryan; Ron G. van Schyndel; Fengling Han; Surya Nepal; Andy Song (WISE (2), 2017)

Hyper-heuristic Based Local Search for Combinatorial Optimisation Problems. - Ayad Turky; Nasser R. Sabar; Simon Dunstall; Andy Song (Australasian Conference on Artificial Intelligence, 2018)

Saliency Preservation in Low-Resolution Grayscale Images. - Shivanthan A. C. Yohanandan; Andy Song; Adrian G. Dyer; Dacheng Tao (ECCV (6), 2018)

A genetic programming based iterated local search for software project scheduling. - Nasser R. Sabar; Ayad Turky; Andy Song (GECCO, 2018)

Optimising Deep Learning by Hyper-heuristic Approach for Classifying Good Quality Images. - Muneeb Ul Hassan 002; Nasser R. Sabar; Andy Song (ICCS (2), 2018)

Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems. - Nasser R. Sabar; Ayad Turky; Mark Leenders; Andy Song (ICCS (1), 2018)

Hyper-heuristic Online Learning for Self-assembling Swarm Robots. - Shuang Yu; Aldeida Aleti; Jan Carlo Barca; Andy Song (ICCS (1), 2018)

Collective Hyper-heuristics for Self-assembling Robot Behaviours. - Shuang Yu; Andy Song; Aldeida Aleti (PRICAI, 2018)

A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security. - Nasser R. Sabar; Xun Yi; Andy Song (IEEE Access, 2018)

Background Subtraction using Compressed Low-resolution Images. - Min Chen; Andy Song; Shivanthan A. C. Yhanandan; Jing Zhang 040 (CoRR, 2018)

Adaptive Re-ranking of Deep Feature for Person Re-identification. - Yong Liu; Lin Shang 001; Andy Song (CoRR, 2018)

Cooperative evolutionary heterogeneous simulated annealing algorithm for google machine reassignment problem. - Ayad Turky; Nasser R. Sabar; Andy Song (Genet. Program. Evolvable Mach., 2018)

A Bi-Level Optimization Model for Grouping Constrained Storage Location Assignment Problems. - Jing Xie 007; Yi Mei 001; Andreas T. Ernst; Xiaodong Li 001; Andy Song (IEEE Trans. Cybern., 2018)

Adaptive Multi-optimiser Cooperative Co-evolution for Large-Scale Optimisation. - Nasser R. Sabar; Ayad Turky; Andy Song (CEC, 2019)

A Study on Online Hyper-heuristic Learning for Swarm Robots. - Shuang Yu; Andy Song; Aldeida Aleti (CEC, 2019)

Transfer Learning for Leisure Centre Energy Consumption Prediction. - Paul Banda; Muhammed A. Bhuiyan; Guomin Kevin Zhang; Andy Song (ICCS (1), 2019)

Dynamic Re-ranking with Deep Features Fusion for Person Re-identification. - Yong Liu; Lin Shang 001; Andy Song (PRICAI (2), 2019)

Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems. - Minghan Li 003; Jingxuan Wei; Andy Song; Yang Liu 116 (IEEE Access, 2019)

A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion. - Nasser R. Sabar; Ashish Bhaskar; Edward Chung 001; Ayad Turky; Andy Song (Swarm Evol. Comput., 2019)

An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture. - Manuel Muehlbauer; Jane Burry; Andy Song (EvoMUSART, 2020)

Deep Learning Assisted Memetic Algorithm for Shortest Route Problems. - Ayad Turky; Mohammad Saiedur Rahaman; Wei Shao 006; Flora D. Salim; Doug Bradbrook; Andy Song (ICCS (5), 2020)

An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction. - Nasser R. Sabar; Ayad Turky; Andy Song; Abdul Sattar 001 (Appl. Soft Comput., 2020)

Hyper-heuristic local search for combinatorial optimisation problems. - Ayad Turky; Nasser R. Sabar; Simon Dunstall; Andy Song (Knowl. Based Syst., 2020)

An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints. - Nasser R. Sabar; Ashish Bhaskar; Edward Chung 001; Ayad Turky; Andy Song (Swarm Evol. Comput., 2020)

Timeseries Based Deep Hybrid Transfer Learning Frameworks: A Case Study of Electric Vehicle Energy Prediction. - Paul Banda; Muhammed A. Bhuiyan; Kazi N. Hasan; Guomin Kevin Zhang; Andy Song (ICCS (5), 2021)

Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks. - Paul Banda; Muhammed A. Bhuiyan; Guomin Kevin Zhang; Andy Song (ICCS (5), 2021)

Improving Deep Object Detection Backbone with Feature Layers. - Weiheng Hong; Andy Song (ICCS (5), 2021)

Multi-granularity Pose Fusion Network with Views for Person Re-identification. - Yong Liu; Yiming Li 006; Andy Song; Lin Shang 001 (IJCNN, 2021)

Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks. - Zheping Liu; Nasser R. Sabar; Andy Song (IJCNN, 2021)

FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing. - Wei Shao 006; Sichen Zhao; Zhen Zhang; Shiyu Wang; Mohammad Saiedur Rahaman; Andy Song; Flora D. Salim (PerCom, 2021)

MoParkeR : Multi-objective Parking Recommendation. - Mohammad Saiedur Rahaman; Wei Shao 006; Flora D. Salim; Ayad Turky; Andy Song; Jeffrey Chan; Junliang Jiang; Doug Bradbrook (SSDBM, 2021)

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. - Xiangtan Lin; Pengzhen Ren; Chung-Hsing Yeh; Lina Yao 001; Andy Song; Xiaojun Chang (CoRR, 2021)

UFO RPN: A Region Proposal Network for Ultra Fast Object Detection. - Wenkai Li; Andy Song (AI, 2022)

Improving Evolutionary Generative Adversarial Networks. - Zheping Liu; Nasser R. Sabar; Andy Song (AI, 2022)

Modelling Eye-Gaze Movement Using Gaussian Auto-regression Hidden Markov. - Beinan Xu; Andy Song (AI, 2022)

KDE-GAN: enhancing evolutionary GAN with knowledge distillation and transfer learning. - Zheping Liu; Andy Song; Nasser R. Sabar (GECCO Companion, 2022)

PRE-NAS: predictor-assisted evolutionary neural architecture search. - Yameng Peng; Andy Song; Vic Ciesielski; Haytham M. Fayek; Xiaojun Chang (GECCO, 2022)

Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data. - Zheping Liu; Andy Song; Nasser R. Sabar; Takero Izuhara; A. Kai Qin (GECCO Companion, 2023)

Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. - Yameng Peng; Andy Song; Vic Ciesielski; Haytham M. Fayek; Xiaojun Chang (GECCO, 2023)

Smart Head-Mount Obstacle Avoidance Wearable for the Vision Impaired. - Peijie Xu; Ron G. van Schyndel; Andy Song (ICCS (5), 2023)

F-3DNet: Leveraging Inner Order of Point Clouds for 3D Object Detection. - Ying Chen; Rui Liu; Zhihui Li 001; Andy Song (ECML/PKDD (6), 2023)

Evolving a Better Scheduler for Diffusion Models. - Zheping Liu; Andy Song; Nasser R. Sabar; Wenkai Li (PRICAI (2), 2023)

PRE-NAS: Evolutionary Neural Architecture Search With Predictor. - Yameng Peng; Andy Song; Vic Ciesielski; Haytham M. Fayek; Xiaojun Chang (IEEE Trans. Evol. Comput., 2023)

Intelligent Head-Mounted Obstacle Avoidance Wearable for the Blind and Visually Impaired. - Peijie Xu; Andy Song; Ke Wang (Sensors, 2023)

Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis. - Anh Le Van; Karin Verspoor; Thomas B. Kirk; Andy Song (AI (1), 2024)

Learning Low-Energy Consumption Obstacle Detection Models for the Blind. - Peijie Xu; Andy Song; Ke Wang 007 (AI (2), 2024)

MLP Can Be a Good Transformer Learner. - Sihao Lin; Pumeng Lyu; Dongrui Liu; Tao Tang; Xiaodan Liang; Andy Song; Xiaojun Chang (CVPR, 2024)

Generalizable Symbolic Optimizer Learning. - Xiaotian Song; Peng Zeng; Yanan Sun 001; Andy Song (ECCV (81), 2024)

Genetic Programming Empowered Feature Construction towards Energy Efficient BVI Wearables. - Peijie Xu; Andy Song; Ke Wang 007 (GECCO, 2024)

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. - Yameng Peng; Andy Song; Haytham M. Fayek; Vic Ciesielski; Xiaojun Chang (ICLR, 2024)

One-step Spiking Transformer with a Linear Complexity. - Xiaotian Song; Andy Song; Rong Xiao; Yanan Sun 001 (IJCAI, 2024)

Multi-Query Person Search with Transformers. - Ying Chen; Zhihui Li 001; Andy Song (PKDD (4), 2024)

Transferrable contextual feature clusters for parking occupancy prediction. - Wei Shao 006; Yu Zhang 034; Pengfei Xiao; Kyle Kai Qin; Mohammad Saiedur Rahaman; Jeffrey Chan; Bin Guo 001; Andy Song; Flora D. Salim (Pervasive Mob. Comput., 2024)

Top-Push Polynomial Ranking Embedded Dictionary Learning for Enhanced Re-Id. - Ying Chen; De Cheng; Zhihui Li 001; Andy Song (ICAART (3), 2025)

Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models. - Muxing Li; Zesheng Ye; Yixuan Li 001; Andy Song; Guangquan Zhang 001; Feng Liu 003 (CoRR, 2025)

FAS: Fast ANN-SNN Conversion for Spiking Large Language Models. - Long Chen; Xiaotian Song; Andy Song; BaDong Chen; Jiancheng Lv 001; Yanan Sun 001 (CoRR, 2025)

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation. - Sihao Lin; Daqi Liu; Ruochong Fu; Dongrui Liu; Andy Song; Hongwei Xie; Zhihui Li 001; Bing Wang 013; Xiaojun Chang (CoRR, 2025)

Adaptive iterated local search algorithm for dynamic patient admission scheduling problems. - Ayad Turky; Nasser R. Sabar; Andy Song; Abir Hussain; Panos Liatsis (Soft Comput., 2025)