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2024

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 MissionSha Lu 0001, Eriita G. Jones, Liang Zhao, Yu Sun, A. Kai Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, Jim O'Hehir, Stefan Peters. staeors, 17:9629-9640, 2024. [doi]

Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud UnderstandingYue Wu 0004, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. Kai Qin, Qiguang Miao, Wenping Ma 0001. tmm, 26:1626-1638, 2024. [doi]

Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud RegistrationYue Wu 0004, Hangqi Ding, Maoguo Gong, A. Kai Qin, Wenping Ma 0001, Qiguang Miao, Kay Chen Tan. tec, 28(1):62-76, February 2024. [doi]

A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few LabelsHao Li 0009, Mingyang Zhang 0002, Ziqi Di, Maoguo Gong, Tianqi Gao, A. Kai Qin. tgrs, 62:1-16, 2024. [doi]

Selective Transfer Based Evolutionary Multitasking Optimization for Change DetectionHao Li 0009, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A. Kai Qin. tetci, 8(3):2197-2212, June 2024. [doi]

Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking OptimizationHao Li 0009, Dezhong Li, Maoguo Gong, Jianzhao Li, A. Kai Qin, Lining Xing 0001, Fei Xie. tetci, 8(2):1922-1937, April 2024. [doi]

A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic EncryptionMaoguo Gong, Yuanqiao Zhang, Yuan Gao, A. Kai Qin, Yue Wu 0004, Shanfeng Wang, Yihong Zhang. tifs, 19:1826-1839, 2024. [doi]

Differential privacy in deep learning: A literature surveyKe Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. Kai Qin, Yuan Gao. ijon, 589:127663, 2024. [doi]

An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public TransportSajjad Shafiei, Hussein Dia, Wen Wu, Hanna Grzybowska, A. Kai Qin. tits, 25(2):1364-1373, February 2024. [doi]

Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene ClassificationYue Zhao, Maoguo Gong, A. Kai Qin, Mingyang Zhang 0002, Zhuping Hu, Tianqi Gao, Yan Pu. tgrs, 62:1-18, 2024. [doi]

Spectral Knowledge Transfer for Remote Sensing Change DetectionHanhong Zheng, Dongyang Li, Mingyang Zhang 0002, Maoguo Gong, A. Kai Qin, Tongfei Liu, Fenlong Jiang. tgrs, 62:1-16, 2024. [doi]

2023

Computational Intelligence in Remote SensingYue Wu 0004, Maoguo Gong, Qiguang Miao, A. Kai Qin. remotesensing, 15(22):5325, November 2023. [doi]

Edge Intelligence for Real-Time IoT Service Trust PredictionPrabath Abeysekara, Hai Dong, A. Kai Qin. tsc, 16(4):2606-2619, July - August 2023. [doi]

Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT SystemsPrabath Abeysekara, Hai Dong, A. Kai Qin. tsc, 16(1):246-260, January - February 2023. [doi]

Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor AlgorithmZhihua Cui, Tianhao Zhao, Linjie Wu, A. Kai Qin, Jianwei Li. tcc, 11(4):3685-3699, October - December 2023. [doi]

Propagation Enhanced Neural Message Passing for Graph Representation LearningXiaolong Fan, Maoguo Gong, Yue Wu 0004, A. Kai Qin, Yu Xie. tkde, 35(2):1952-1964, 2023. [doi]

DANet: Semi-supervised differentiated auxiliaries guided network for video action recognitionGuangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, A. Kai Qin. NN, 158:121-131, January 2023. [doi]

Multiparty Dual LearningYuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong. tcyb, 53(5):2955-2968, May 2023. [doi]

RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series ClassificationMaoguo Gong, Wenyuan Qiao, Hao Li 0009, A. Kai Qin, Tianqi Gao, Tianshi Luo, Lining Xing 0001. tgrs, 61:1-16, 2023. [doi]

Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node ClassificationMaoguo Gong, Hui Zhou, A. Kai Qin, Wenfeng Liu, Zhongying Zhao. tnn, 34(11):9234-9247, November 2023. [doi]

Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum LearningMaoguo Gong, Yue Zhao, Hao Li 0009, A. Kai Qin, Lining Xing 0001, Jianzhao Li, Yiting Liu, Yuhao Liu. tfs, 31(12):4321-4335, December 2023. [doi]

Evolution Enhancing Property Price Prediction by Generating Artificial Transaction DataZheping Liu, Andy Song, Nasser R. Sabar, Takero Izuhara, A. Kai Qin. gecco 2023: 739-742 [doi]

Federated Optimization with Linear-Time Approximated Hessian DiagonalMrinmay Sen, C. Krishna Mohan, A. Kai Qin. premi 2023: 106-113 [doi]

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton directionMrinmay Sen, C. Krishna Mohan, A. Kai Qin. hpcc 2023: 217-224 [doi]

Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing imagesJiao Shi, Tiancheng Wu, Hanwen Yu, A. Kai Qin, Gwanggil Jeon, Yu Lei 0002. chinaf, 66(4), April 2023. [doi]

Semisupervised Graph Neural Networks for Graph ClassificationYu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He. tcyb, 53(10):6222-6235, October 2023. [doi]

2022

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous ImagesYue Wu 0004, Jiaheng Li, Yongzhe Yuan, A. Kai Qin, Qiguang Miao, Maoguo Gong. tnn, 33(9):4257-4270, 2022. [doi]

Deep Image Inpainting With Enhanced Normalization and Contextual AttentionJia Liu 0020, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li 0009, Fenlong Jiang. tcsv, 32(10):6599-6614, 2022. [doi]

An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity OptimizationKaiyuan Feng, Xia Fei, Maoguo Gong, A. Kai Qin, Hao Li 0009, Yue Wu. tcsv, 32(9):5790-5802, 2022. [doi]

Location-Centered House Price Prediction: A Multi-Task Learning ApproachGuangliang Gao, Zhifeng Bao, Jie Cao 0001, A. Kai Qin, Timos Sellis. tist, 13(2), 2022. [doi]

A General Multiple Data Augmentation Based Framework for Training Deep Neural NetworksBinyan Hu, Yu Sun, A. Kai Qin. ijcnn 2022: 1-8 [doi]

Semisupervised Adaptive Ladder Network for Remote Sensing Image Change DetectionJiao Shi, Tiancheng Wu, A. Kai Qin, Yu Lei 0002, Gwanggil Jeon. tgrs, 60:1-20, 2022. [doi]

Multi-task Optimization Based Co-training for Electricity Consumption PredictionHui Song, A. Kai Qin, Chenggang Yan 0001. ijcnn 2022: 1-8 [doi]

Learning to optimise general TSP instancesNasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin. mlc, 13(8):2213-2228, 2022. [doi]

A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate SystemZedong Tang, Maoguo Gong, Yue Wu 0004, A. Kai Qin, Kay Chen Tan. tcyb, 52(7):6745-6758, 2022. [doi]

Equitable Public Bus Network Optimization for Social Good: A Case Study of SingaporeDavid Alexander Tedjopurnomo, Zhifeng Bao, Farhana Murtaza Choudhury, Hui Luo, A. Kai Qin. fat 2022: 278-288 [doi]

SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote SensingXiangrong Zhang, Ling He, A. Kai Qin, Qi Dang, Hongjie Si, Xu Tang, Licheng Jiao. remotesensing, 14(7):1580, 2022. [doi]

ε-Constrained Differential Evolution Using an Adaptive ε-Level Control MethodChunjiang Zhang, A. Kai Qin, Weiming Shen 0001, Liang Gao 0001, Kay Chen Tan, Xinyu Li 0001. tsmc, 52(2):769-785, 2022. [doi]

Influence-Aware Attention Networks for Anomaly Detection in Surveillance VideosSijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li 0009, Yuan Gao, Yew-Soon Ong. tcsv, 32(8):5427-5437, 2022. [doi]

2021

AdvDrop: Adversarial Attack to DNNs by Dropping InformationRanjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He. iccv 2021: 7486-7495 [doi]

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a BlinkRanjie Duan, Xiaofeng Mao, A. Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang. cvpr 2021: 16062-16071 [doi]

Evolving Deep Neural Networks via Cooperative Coevolution With BackpropagationMaoguo Gong, Jia Liu 0020, A. Kai Qin, Kun Zhao, Kay Chen Tan. tnn, 32(1):420-434, 2021. [doi]

Locality preserving dense graph convolutional networks with graph context-aware node representationsWenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Kai Sheng, Mingliang Xu. NN, 143:108-120, 2021. [doi]

Learning to Optimise Routing Problems using Policy OptimisationNasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin. ijcnn 2021: 1-8 [doi]

Similar Trajectory Search with Spatio-Temporal Deep Representation LearningDavid Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin. tist, 12(6), 2021. [doi]

Graph embedding via multi-scale graph representationsYu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. Kai Qin. isci, 578:102-115, 2021. [doi]

A Survey of Advances in Evolutionary Neural Architecture SearchXun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan. cec 2021: 950-957 [doi]

A Survey on Evolutionary Construction of Deep Neural NetworksXun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan. tec, 25(5):894-912, 2021. [doi]

2020

Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT EnvironmentsPrabath Abeysekara, Hai Dong, A. Kai Qin. ijcnn 2020: 1-8 [doi]

Adversarial Camouflage: Hiding Physical-World Attacks With Natural StylesRanjie Duan, Xingjun Ma, Yisen Wang 0001, James Bailey 0001, A. Kai Qin, Yun Yang. cvpr 2020: 997-1005 [doi]

Preserving differential privacy in deep neural networks with relevance-based adaptive noise impositionMaoguo Gong, Ke Pan, Yu Xie, A. Kai Qin, Zedong Tang. NN, 125:131-141, 2020. [doi]

PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and TumorsZiqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin. ijcnn 2020: 1-8 [doi]

Bipartite Differential Neural Network for Unsupervised Image Change DetectionJia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan. tnn, 31(3):876-890, 2020. [doi]

Evolutionary model construction for electricity consumption predictionHui Song, A. Kai Qin, Flora D. Salim. nca, 32(16):12155-12172, 2020. [doi]

Hyper-parameter optimization in classification: To-do or not-to-doNgoc Tran, Jean-Guy Schneider, Ingo Weber, A. Kai Qin. PR, 103:107245, 2020. [doi]

Graph convolutional networks with multi-level coarsening for graph classificationYu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. Kai Qin. kbs, 194:105578, 2020. [doi]

A Novel DNN Training Framework via Data Sampling and Multi-Task OptimizationBoyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis. ijcnn 2020: 1-8 [doi]

Self-Regulated Evolutionary Multitask OptimizationXiaolong Zheng, A. Kai Qin, Maoguo Gong, Deyun Zhou. tec, 24(1):16-28, 2020. [doi]

2019

Machine Learning-Driven Trust Prediction for MEC-Based IoT ServicesPrabath Abeysekara, Hai Dong, A. Kai Qin. icws 2019: 188-192 [doi]

Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computationMaoguo Gong, Aimin Zhou, A. Kai Qin, Linqiang Pan. swevo, 47:1-2, 2019. [doi]

A Study on Knowledge Reuse Strategies in Multitasking Differential EvolutionChen Jin, Pei-wei Tsai, A. Kai Qin. cec 2019: 1564-1571 [doi]

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problemsBorhan Kazimipour, Mohammad Nabi Omidvar, A. Kai Qin, Xiaodong Li 0001, Xin Yao 0001. asc, 76:265-281, 2019. [doi]

QoS-Aware Web Service Selection with Internal ComplementarityXinle Liang, A. Kai Qin, Ke Tang, Kay Chen Tan. tsc, 12(2):276-289, 2019. [doi]

Improving Experience Sampling with Multi-view User-driven Annotation PredictionJonathan Liono, Flora D. Salim, Niels van Berkel, Vassilis Kostakos, A. Kai Qin. percom 2019: 1-11 [doi]

QDaS: Quality driven data summarisation for effective storage management in Internet of ThingsJonathan Liono, Prem Prakash Jayaraman, A. Kai Qin, Thuong Nguyen, Flora D. Salim. jpdc, 127:196-208, 2019. [doi]

Multitasking Multi-Swarm OptimizationHui Song, A. Kai Qin, Pei-wei Tsai, Jing J. Liang. cec 2019: 1937-1944 [doi]

TPNE: Topology preserving network embeddingYu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan. isci, 504:20-31, 2019. [doi]

2018

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily LifeJonathan Liono, Zahraa S. Abdallah, A. Kai Qin, Flora D. Salim. mobiquitous 2018: 342-351 [doi]

2017

A GPU-based implementation of brain storm optimizationChen Jin, A. Kai Qin. cec 2017: 2698-2705 [doi]

2016

Node label matching improves classification performance in Deep Belief NetworksAllan Campbell, Vic Ciesielski, A. Kai Qin. ijcnn 2016: 1646-1653 [doi]

Discrete particle swarm optimization for high-order graph matchingMaoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. Kai Qin, Zhenkun Wang, Licheng Jiao. isci, 328:158-171, 2016. [doi]

A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in GraphsAngus Kenny, Xiaodong Li, A. Kai Qin, Andreas T. Ernst. gecco 2016: 333-340 [doi]

Optimal time window for temporal segmentation of sensor streams in multi-activity recognitionJonathan Liono, A. Kai Qin, Flora Dilys Salim. mobiquitous 2016: 10-19 [doi]

Robust road detection in shadow conditionsKaiyue Lu, Siyu Xia, Junkang Zhang, A. Kai Qin. jei, 25(4):43027, 2016. [doi]

Two-hidden-layer extreme learning machine for regression and classificationBo-Yang Qu, B. F. Lang, Jing J. Liang, A. Kai Qin, Oscar D. Crisalle. ijon, 175:826-834, 2016. [doi]

Multivariate electricity consumption prediction with Extreme Learning MachineHui Song, A. Kai Qin, Flora Dilys Salim. ijcnn 2016: 2313-2320 [doi]

2009

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical OptimizationA. Kai Qin, Vicky Ling Huang, Ponnuthurai N. Suganthan. tec, 13(2):398-417, 2009. [doi]

2007

Multi-objective optimization based on self-adaptive differential evolution algorithmV. L. Huang, A. Kai Qin, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren. cec 2007: 3601-3608 [doi]

2006

Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter OptimizationVicky Ling Huang, A. Kai Qin, Ponnuthurai N. Suganthan. cec 2006: 17-24 [doi]

Performance Evaluation of Multiagent Genetic AlgorithmJing J. Liang, S. Baskar, Ponnuthurai N. Suganthan, A. Kai Qin. nc, 5(1):83-96, 2006. [doi]

Comprehensive learning particle swarm optimizer for global optimization of multimodal functionsJing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar. tec, 10(3):281-295, 2006. [doi]

Personal Identification System based on Multiple Palmprint FeaturesA. Kai Qin, Ponnuthurai N. Suganthan, C. H. Tay, H. S. Pa. icarcv 2006: 1-6 [doi]

Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant AnalysisA. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog. icpr 2006: 125-128 [doi]

Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reductionA. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog. PR, 39(9):1805-1808, 2006. [doi]

2005

Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional DataA. Kai Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog. AAAI 2005: 851-855

Self-adaptive differential evolution algorithm for numerical optimizationA. Kai Qin, Ponnuthurai N. Suganthan. cec 2005: 1785-1791 [doi]

Initialization insensitive LVQ algorithm based on cost-function adaptationA. Kai Qin, Ponnuthurai N. Suganthan. PR, 38(5):773-776, 2005. [doi]

Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterionA. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog. PR, 38(4):613-616, 2005. [doi]

Enhanced neural gas network for prototype-based clusteringA. Kai Qin, Ponnuthurai N. Suganthan. PR, 38(8):1275-1288, 2005. [doi]

Linear dimensionality reduction using relevance weighted LDAE. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao, A. Kai Qin. PR, 38(4):485-493, 2005. [doi]

Evolutionary extreme learning machineQin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang. PR, 38(10):1759-1763, 2005. [doi]

2004

Evaluation of Comprehensive Learning Particle Swarm OptimizerJing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar. iconip 2004: 230-235 [doi]

Particle swarm optimization algorithms with novel learning strategiesJing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar. SMC 2004: 3659-3664 [doi]

A Novel Kernel Prototype-Based Learning AlgorithmA. Kai Qin, Ponnuthurai N. Suganthan. icpr 2004: 621-624 [doi]

A new generalized LVQ algorithm via harmonic to minimum distance measure transitionA. Kai Qin, Ponnuthurai N. Suganthan, Jing J. Liang. SMC 2004: 4821-4825 [doi]

Kernel Neural Gas Algorithms with Application to Cluster AnalysisA. Kai Qin, Ponnuthurai N. Suganthan. icpr 2004: 617-620 [doi]

Robust growing neural gas algorithm with application in cluster analysisA. Kai Qin, Ponnuthurai N. Suganthan. NN, 17(8-9):1135-1148, 2004. [doi]

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