A. Kai Qin

Orcid: 0000-0001-6631-1651

Affiliations:
  • Swinburne University of Technology, Department of Computer Science and Software Engineering, Australia
  • RMIT University, Melbourne, Australia
  • Nanyang Technology University, Singapore (PhD 2001)


According to our database1, A. Kai Qin authored at least 182 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery.
IEEE Trans. Evol. Comput., April, 2024

An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport.
IEEE Trans. Intell. Transp. Syst., February, 2024

Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration.
IEEE Trans. Evol. Comput., February, 2024

Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding.
IEEE Trans. Multim., 2024

A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption.
IEEE Trans. Inf. Forensics Secur., 2024

Spectral Knowledge Transfer for Remote Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels.
IEEE Trans. Geosci. Remote. Sens., 2024

FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update.
CoRR, 2024

FAGH: Accelerating Federated Learning with Approximated Global Hessian.
CoRR, 2024

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.
CoRR, 2024

Decentralised Traffic Incident Detection via Network Lasso.
CoRR, 2024

Deep Learning for Medical Image Segmentation with Imprecise Annotation.
CoRR, 2024

Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation.
CoRR, 2024

2023
Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning.
IEEE Trans. Fuzzy Syst., December, 2023

Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Computational Intelligence in Remote Sensing.
Remote. Sens., November, 2023

Heterogeneous Multi-Party Learning With Data-Driven Network Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Semisupervised Graph Neural Networks for Graph Classification.
IEEE Trans. Cybern., October, 2023

Multiparty Dual Learning.
IEEE Trans. Cybern., May, 2023

Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images.
Sci. China Inf. Sci., April, 2023

Manifold clustering-based prediction for dynamic multiobjective optimization.
Swarm Evol. Comput., March, 2023

DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition.
Neural Networks, January, 2023

Edge Intelligence for Real-Time IoT Service Trust Prediction.
IEEE Trans. Serv. Comput., 2023

Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT Systems.
IEEE Trans. Serv. Comput., 2023

Propagation Enhanced Neural Message Passing for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2023

RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm.
IEEE Trans. Cloud Comput., 2023

FLrce: Efficient Federated Learning with Relationship-based Client Selection and Early-Stopping Strategy.
CoRR, 2023

One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration.
CoRR, 2023

TrafFormer: A Transformer Model for Predicting Long-term Traffic.
CoRR, 2023

Federated Optimization with Linear-Time Approximated Hessian Diagonal.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 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
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges.
IEEE Trans. Knowl. Data Eng., 2022

Exploring Temporal Information for Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Location-Centered House Price Prediction: A Multi-Task Learning Approach.
ACM Trans. Intell. Syst. Technol., 2022

Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Evolutionary Multitask Optimization With Adaptive Knowledge Transfer.
IEEE Trans. Evol. Comput., 2022

Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm.
IEEE Trans. Evol. Comput., 2022

A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System.
IEEE Trans. Cybern., 2022

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep Image Inpainting With Enhanced Normalization and Contextual Attention.
IEEE Trans. Circuits Syst. Video Technol., 2022

An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization.
IEEE Trans. Circuits Syst. Video Technol., 2022

SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote Sensing.
Remote. Sens., 2022

Learning to optimise general TSP instances.
Int. J. Mach. Learn. Cybern., 2022

Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges.
CoRR, 2022

Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems.
CoRR, 2022

Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe.
Astron. Comput., 2022

Multi-task Optimization Based Co-training for Electricity Consumption Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation.
IEEE Trans. Neural Networks Learn. Syst., 2021

An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection.
IEEE Trans. Multim., 2021

Similar Trajectory Search with Spatio-Temporal Deep Representation Learning.
ACM Trans. Intell. Syst. Technol., 2021

A Survey on Evolutionary Construction of Deep Neural Networks.
IEEE Trans. Evol. Comput., 2021

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.
IEEE Trans. Cybern., 2021

Attention-Guided Siamese Fusion Network for Change Detection of Remote Sensing Images.
Remote. Sens., 2021

Locality preserving dense graph convolutional networks with graph context-aware node representations.
Neural Networks, 2021

Graph embedding via multi-scale graph representations.
Inf. Sci., 2021

ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning.
CoRR, 2021

Learning Enhanced Optimisation for Routing Problems.
CoRR, 2021

Evolutionary Ensemble Learning for Multivariate Time Series Prediction.
CoRR, 2021

Multi-Party Dual Learning.
CoRR, 2021

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework.
CoRR, 2021

Learning to Optimise Routing Problems using Policy Optimisation.
Proceedings of the International Joint Conference on Neural Networks, 2021

AdvDrop: Adversarial Attack to DNNs by Dropping Information.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Survey of Advances in Evolutionary Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Matrix Function Optimization Problems Under Orthonormal Constraint.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Bipartite Differential Neural Network for Unsupervised Image Change Detection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Self-Regulated Evolutionary Multitask Optimization.
IEEE Trans. Evol. Comput., 2020

Hyper-parameter optimization in classification: To-do or not-to-do.
Pattern Recognit., 2020

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
Neural Networks, 2020

Evolutionary model construction for electricity consumption prediction.
Neural Comput. Appl., 2020

Graph convolutional networks with multi-level coarsening for graph classification.
Knowl. Based Syst., 2020

Learning Vehicle Routing Problems using Policy Optimisation.
CoRR, 2020

Learning to Optimise General TSP Instances.
CoRR, 2020

Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations.
CoRR, 2020

DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition.
CoRR, 2020

A Survey on Differentially Private Machine Learning [Review Article].
IEEE Comput. Intell. Mag., 2020

Temporal Memory Network Towards Real-Time Video Understanding.
IEEE Access, 2020

A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
QoS-Aware Web Service Selection with Internal Complementarity.
IEEE Trans. Serv. Comput., 2019

Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern., 2019

Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation.
Swarm Evol. Comput., 2019

QDaS: Quality driven data summarisation for effective storage management in Internet of Things.
J. Parallel Distributed Comput., 2019

TPNE: Topology preserving network embedding.
Inf. Sci., 2019

Location-Centered House Price Prediction: A Multi-Task Learning Approach.
CoRR, 2019

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems.
Appl. Soft Comput., 2019

A New Makeup Transfer with Super-resolution.
Aust. J. Intell. Inf. Process. Syst., 2019

Improving Experience Sampling with Multi-view User-driven Annotation Prediction.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

Action Recognition with Bootstrapping based Long-range Temporal Context Attention.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Machine Learning-Driven Trust Prediction for MEC-Based IoT Services.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Differential Evolutionary Multi-task Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multitasking Multi-Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Metaheuristic Optimization for Long-term IaaS Service Composition.
IEEE Trans. Serv. Comput., 2018

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.
IEEE Trans. Neural Networks Learn. Syst., 2018

BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access.
IEEE Internet Things J., 2018

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evolutionary feature subspaces generation for ensemble classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics.
IEEE Trans. Neural Networks Learn. Syst., 2017

CDS: Collaborative distant supervision for Twitter account classification.
Expert Syst. Appl., 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017

Subjective Evaluation of Market-Driven Cloud Services.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A GPU-based implementation of brain storm optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Robust road detection in shadow conditions.
J. Electronic Imaging, 2016

Discrete particle swarm optimization for high-order graph matching.
Inf. Sci., 2016

Two-hidden-layer extreme learning machine for regression and classification.
Neurocomputing, 2016

Optimal time window for temporal segmentation of sensor streams in multi-activity recognition.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

Multivariate electricity consumption prediction with Extreme Learning Machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-supervised auto-encoder based on manifold learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Node label matching improves classification performance in Deep Belief Networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust road detection from a single image.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A genetics-motivated unsupervised model for tri-subject kinship verification.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Private spatial data aggregation in the local setting.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

Road detection via unsupervised feature learning.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Optimizing Long-term IaaS Service Composition.
Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images.
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2015

QoS-aware long-term based service composition in cloud computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Local ensemble surrogate assisted crowding differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Why Advanced Population Initialization Techniques Perform Poorly in High Dimension?
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Finding convex hull vertices in metric space.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Neural Network Based on Dynamic Multi-swarm Particle Swarm Optimizer for Ultra-Short-Term Load Forecasting.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

Face Clustering in Photo Album.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

An archive based particle swarm optimisation for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A review of population initialization techniques for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Effects of population initialization on differential evolution for large scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Input Space Partitioning for Neural Network Learning.
Int. J. Appl. Evol. Comput., 2013

Mining heterogeneous class-specific codebook for categorical object detection and classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

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

Investigation of self-adaptive differential evolution on the CEC-2013 real-parameter single-objective optimization testbed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Differential evolution on the CEC-2013 single-objective continuous optimization testbed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Initialization methods for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty.
IEEE Trans. Geosci. Remote. Sens., 2012

Improved generic categorical object detection fusing depth cue with 2D appearance and shape features.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

An improved CUDA-based implementation of differential evolution on GPU.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Dynamic regional harmony search with opposition and local learning.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Harmony search with differential mutation based pitch adjustment.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty.
IEEE Trans. Image Process., 2010

2009
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization.
IEEE Trans. Evol. Comput., 2009

2007
Multi-objective optimization based on self-adaptive differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions.
IEEE Trans. Evol. Comput., 2006

Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction.
Pattern Recognit., 2006

Performance Evaluation of Multiagent Genetic Algorithm.
Nat. Comput., 2006

Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Personal Identification System based on Multiple Palmprint Features.
Proceedings of the Ninth International Conference on Control, 2006

Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Evolutionary extreme learning machine.
Pattern Recognit., 2005

Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognit., 2005

Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion.
Pattern Recognit., 2005

Enhanced neural gas network for prototype-based clustering.
Pattern Recognit., 2005

Initialization insensitive LVQ algorithm based on cost-function adaptation.
Pattern Recognit., 2005

Self-adaptive differential evolution algorithm for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data.
Proceedings of the Proceedings, 2005

2004
Robust growing neural gas algorithm with application in cluster analysis.
Neural Networks, 2004

A new generalized LVQ algorithm via harmonic to minimum distance measure transition.
Proceedings of the IEEE International Conference on Systems, 2004

Particle swarm optimization algorithms with novel learning strategies.
Proceedings of the IEEE International Conference on Systems, 2004

A Novel Kernel Prototype-Based Learning Algorithm.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Kernel Neural Gas Algorithms with Application to Cluster Analysis.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Evaluation of Comprehensive Learning Particle Swarm Optimizer.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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