Andy Song

Orcid: 0000-0002-7579-7048

According to our database1, Andy Song authored at least 118 papers between 2001 and 2024.

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Bibliography

2024
Transferrable contextual feature clusters for parking occupancy prediction.
Pervasive Mob. Comput., 2024

Multi-Query Person Search with Transformers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

One-step Spiking Transformer with a Linear Complexity.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Genetic Programming Empowered Feature Construction towards Energy Efficient BVI Wearables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Generalizable Symbolic Optimizer Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

MLP Can Be a Good Transformer Learner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Low-Energy Consumption Obstacle Detection Models for the Blind.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
Intelligent Head-Mounted Obstacle Avoidance Wearable for the Blind and Visually Impaired.
Sensors, December, 2023

PRE-NAS: Evolutionary Neural Architecture Search With Predictor.
IEEE Trans. Evol. Comput., February, 2023

Evolving a Better Scheduler for Diffusion Models.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

F-3DNet: Leveraging Inner Order of Point Clouds for 3D Object Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Smart Head-Mount Obstacle Avoidance Wearable for the Vision Impaired.
Proceedings of the Computational Science - ICCS 2023, 2023

Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
PRE-NAS: predictor-assisted evolutionary neural architecture search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

KDE-GAN: enhancing evolutionary GAN with knowledge distillation and transfer learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Modelling Eye-Gaze Movement Using Gaussian Auto-regression Hidden Markov.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Improving Evolutionary Generative Adversarial Networks.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

UFO RPN: A Region Proposal Network for Ultra Fast Object Detection.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions.
CoRR, 2021

MoParkeR : Multi-objective Parking Recommendation.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-granularity Pose Fusion Network with Views for Person Re-identification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Deep Object Detection Backbone with Feature Layers.
Proceedings of the Computational Science - ICCS 2021, 2021

Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks.
Proceedings of the Computational Science - ICCS 2021, 2021

Timeseries Based Deep Hybrid Transfer Learning Frameworks: A Case Study of Electric Vehicle Energy Prediction.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints.
Swarm Evol. Comput., 2020

Hyper-heuristic local search for combinatorial optimisation problems.
Knowl. Based Syst., 2020

An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction.
Appl. Soft Comput., 2020

Deep Learning Assisted Memetic Algorithm for Shortest Route Problems.
Proceedings of the Computational Science - ICCS 2020, 2020

An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2020

2019
A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion.
Swarm Evol. Comput., 2019

Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems.
IEEE Access, 2019

Dynamic Re-ranking with Deep Features Fusion for Person Re-identification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Transfer Learning for Leisure Centre Energy Consumption Prediction.
Proceedings of the Computational Science - ICCS 2019, 2019

A Study on Online Hyper-heuristic Learning for Swarm Robots.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Adaptive Multi-optimiser Cooperative Co-evolution for Large-Scale Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Bi-Level Optimization Model for Grouping Constrained Storage Location Assignment Problems.
IEEE Trans. Cybern., 2018

Cooperative evolutionary heterogeneous simulated annealing algorithm for google machine reassignment problem.
Genet. Program. Evolvable Mach., 2018

Adaptive Re-ranking of Deep Feature for Person Re-identification.
CoRR, 2018

Background Subtraction using Compressed Low-resolution Images.
CoRR, 2018

A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security.
IEEE Access, 2018

Collective Hyper-heuristics for Self-assembling Robot Behaviours.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Hyper-heuristic Online Learning for Self-assembling Swarm Robots.
Proceedings of the Computational Science - ICCS 2018, 2018

Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems.
Proceedings of the Computational Science - ICCS 2018, 2018

Optimising Deep Learning by Hyper-heuristic Approach for Classifying Good Quality Images.
Proceedings of the Computational Science - ICCS 2018, 2018

A genetic programming based iterated local search for software project scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Saliency Preservation in Low-Resolution Grayscale Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Hyper-heuristic Based Local Search for Combinatorial Optimisation Problems.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
A Verifiable Ranked Choice Internet Voting System.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Evolutionary Learning Based Iterated Local Search for Google Machine Reassignment Problems.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Automated Shape Design by Grammatical Evolution.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

Optimising Deep Belief Networks by hyper-heuristic approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Neighbourhood Analysis: A Case Study on Google Machine Reassignment Problem.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Privacy Protection for Wireless Medical Sensor Data.
IEEE Trans. Dependable Secur. Comput., 2016

Clustering Big Spatiotemporal-Interval Data.
IEEE Trans. Big Data, 2016

Learning patterns of states from multi-channel time series using genetic programming.
Soft Comput., 2016

A Multi-memory Multi-population Memetic Algorithm for Dynamic Shortest Path Routing in Mobile Ad-hoc Networks.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

A Model Predictive Controller for Contention-Aware Resource Allocation in Virtualized Data Centers.
Proceedings of the 24th IEEE International Symposium on Modeling, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A multi-population memetic algorithm for dynamic shortest path routing in mobile ad-hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Parallel Late Acceptance Hill-Climbing Algorithm for the Google Machine Reassignment Problem.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Efficient agglomerative hierarchical clustering.
Expert Syst. Appl., 2015

A Memetic Algorithm for Dynamic Shortest Path Routing on Mobile Ad-hoc Networks.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Restricted Neighbourhood Tabu Search for Storage Location Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Learning Patterns of States in Time Series by Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Dual Population Genetic Algorithm for the Cardinality Constrained Portfolio Selection Problem.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Phone based fall detection by genetic programming.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Genetic programming based activity recognition on a smartphone sensory data benchmark.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A genetic programming-based hyper-heuristic approach for storage location assignment problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Understanding of GP-Evolved Motion Detectors.
IEEE Comput. Intell. Mag., 2013

Evolving PCB visual inspection programs using genetic programming.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Detecting PCB component placement defects by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Activity recognition by smartphone based multi-channel sensors with genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Sensor-based activity recognition with improved GP-based classifier.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Rice leaf detection with genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Towards scene text recognition with genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Hybridisation of Genetic Programming and Nearest Neighbour for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Two-Tier genetic programming: towards raw pixel-based image classification.
Expert Syst. Appl., 2012

Genetic programming for detecting target motions.
Connect. Sci., 2012

Event detection in time series by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolving frame splitters by Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Analysis of motion detectors evolved by Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Extracting image features for classification by two-tier genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolving Genetic Programming classifiers with loop structures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolving Event Detectors in Multi-channel Sensor Data.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Learning Time Series Patterns by Genetic Programming.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

Evolutionary Design of Optical Waveguide with Multiple Objectives.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

2011
Evolving automatic frame splitters.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Selective motion detection by Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Study of GP representations for motion detection with unstable background.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Contribution based bloat control in Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Bloat control in genetic programming by evaluating contribution of nodes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Motion detection in complex environments by genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Learning Motion Detectors by Genetic Programming.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Texture Segmentation by Genetic Programming.
Evol. Comput., 2008

Robust method of detecting moving objects in videos evolved by genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Fast video analysis by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2004
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement.
Proceedings of the Genetic and Evolutionary Computation, 2004

Texture analysis by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Multiobjective parsimony enforcement for superior generalisation performance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Fast texture segmentation using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Texture classifiers generated by genetic programming.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Vision System Development by Machine Learning: Hashing Assessment in Brewing.
Appl. Artif. Intell., 2001

Towards Genetic Programming for Texture Classification.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001


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