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A. Kai Qin
Person information
- affiliation: Swinburne University of Technology, Department of Computer Science and Software Engineering, Australia
- affiliation: RMIT University, Melbourne, Australia
- affiliation (PhD 2001): Nanyang Technology University, Singapore
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2020 – today
- 2025
- [j94]Tianhao Zhao, Linjie Wu, Zhihua Cui
, Alex Kai Qin:
An adaptive strategy based multi-population multi-objective optimization algorithm. Inf. Sci. 686: 120913 (2025) - 2024
- [j93]Ke Pan
, Yew-Soon Ong, Maoguo Gong
, Hui Li, A. Kai Qin, Yuan Gao:
Differential privacy in deep learning: A literature survey. Neurocomputing 589: 127663 (2024) - [j92]Nasrin Sultana
, Jeffrey Chan, Babak Abbasi
, Tabinda Sarwar
, Alex Kai Qin:
Learning to guide local search optimisation for routing problems. Oper. Res. Lett. 55: 107136 (2024) - [j91]Yuheng Liu
, Ye Wang
, Yifan Zhang
, Shaohui Mei
, Jiaqi Zou
, Zhuohong Li
, Fangxiao Lu, Wei He
, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone
, Ronny Hänsch
, Gülsen Taskin Kaya, Jing Yao
, A. Kai Qin
, Bing Zhang
, Jocelyn Chanussot
, Danfeng Hong:
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8851-8862 (2024) - [j90]Sha Lu
, 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
:
Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9629-9640 (2024) - [j89]Jiao Shi
, Tiancheng Wu
, Alex Kai Qin
, Yu Lei
, Gwanggil Jeon
:
Self-Guided Autoencoders for Unsupervised Change Detection in Heterogeneous Remote Sensing Images. IEEE Trans. Artif. Intell. 5(6): 2458-2471 (2024) - [j88]Yue Wu
, Hangqi Ding
, Maoguo Gong
, A. Kai Qin
, Wenping Ma
, Qiguang Miao
, Kay Chen Tan
:
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Trans. Evol. Comput. 28(1): 62-76 (2024) - [j87]Yiting Liu
, Hao Li
, Maoguo Gong
, Alex Kai Qin
:
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery. IEEE Trans. Evol. Comput. 28(2): 374-387 (2024) - [j86]Kuangda Lyu
, Hao Li
, Maoguo Gong
, Lining Xing
, Alex Kai Qin
:
Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation. IEEE Trans. Evol. Comput. 28(3): 608-622 (2024) - [j85]Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A. Kai Qin, Lining Xing, Fei Xie:
Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1922-1937 (2024) - [j84]Hao Li
, Tianshi Luo
, Liwen Liu
, Maoguo Gong
, Wenyuan Qiao
, Fei Xie
, A. Kai Qin
:
Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2197-2212 (2024) - [j83]Hao Li, Mingyang Zhang
, Ziqi Di, Maoguo Gong
, Tianqi Gao
, A. Kai Qin
:
A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j82]Yue Zhao
, Maoguo Gong
, A. Kai Qin
, Mingyang Zhang
, Zhuping Hu, Tianqi Gao
, Yan Pu
:
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j81]Hanhong Zheng
, Dongyang Li, Mingyang Zhang
, Maoguo Gong
, A. Kai Qin
, Tongfei Liu
, Fenlong Jiang
:
Spectral Knowledge Transfer for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j80]Maoguo Gong
, Yuanqiao Zhang
, Yuan Gao
, A. Kai Qin
, Yue Wu
, Shanfeng Wang, Yihong Zhang:
A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 19: 1826-1839 (2024) - [j79]Sajjad Shafiei
, Hussein Dia
, Wen Wu, Hanna Grzybowska
, A. Kai Qin
:
An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport. IEEE Trans. Intell. Transp. Syst. 25(2): 1364-1373 (2024) - [j78]Yue Wu
, Jiaming Liu
, Maoguo Gong
, Peiran Gong
, Xiaolong Fan
, A. Kai Qin
, Qiguang Miao
, Wenping Ma
:
Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding. IEEE Trans. Multim. 26: 1626-1638 (2024) - [i33]Binyan Hu, A. Kai Qin:
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation. CoRR abs/2402.07119 (2024) - [i32]Binyan Hu, A. Kai Qin:
Deep Learning for Medical Image Segmentation with Imprecise Annotation. CoRR abs/2402.07330 (2024) - [i31]Qiyuan Zhu, A. Kai Qin, Prabath Abeysekara, Hussein Dia, Hanna Grzybowska:
Decentralised Traffic Incident Detection via Network Lasso. CoRR abs/2402.18167 (2024) - [i30]Gayathri C, Mrinmay Sen, A. Kai Qin, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman:
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix. CoRR abs/2403.02833 (2024) - [i29]Mrinmay Sen, A. Kai Qin, Krishna Mohan C:
FAGH: Accelerating Federated Learning with Approximated Global Hessian. CoRR abs/2403.11041 (2024) - [i28]Ziru Niu, Hai Dong
, A. Kai Qin:
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update. CoRR abs/2403.11464 (2024) - 2023
- [j77]Jiao Shi, Tiancheng Wu
, Hanwen Yu, A. Kai Qin, Gwanggil Jeon, Yu Lei:
Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images. Sci. China Inf. Sci. 66(4) (2023) - [j76]Guangyu Gao
, Ziming Liu, Guangjun Zhang, Jinyang Li, A. Kai Qin:
DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition. Neural Networks 158: 121-131 (2023) - [j75]Maoguo Gong
, Yuan Gao
, Yue Wu
, Yuanqiao Zhang
, Alex Kai Qin
, Yew-Soon Ong
:
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13328-13343 (2023) - [j74]Yue Wu
, Maoguo Gong
, Qiguang Miao
, A. Kai Qin:
Computational Intelligence in Remote Sensing. Remote. Sens. 15(22): 5325 (2023) - [j73]Li Yan
, Wenlong Qi, A. Kai Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang:
Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm Evol. Comput. 77: 101254 (2023) - [j72]Zhihua Cui
, Tianhao Zhao
, Linjie Wu
, A. Kai Qin
, Jianwei Li
:
Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm. IEEE Trans. Cloud Comput. 11(4): 3685-3699 (2023) - [j71]Yuan Gao
, Maoguo Gong
, Yu Xie
, A. Kai Qin
, Ke Pan, Yew-Soon Ong
:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j70]Yu Xie
, Yanfeng Liang, Maoguo Gong
, A. Kai Qin
, Yew-Soon Ong
, Tiantian He
:
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53(10): 6222-6235 (2023) - [j69]Maoguo Gong, Yue Zhao, Hao Li, A. Kai Qin, Lining Xing, Jianzhao Li, Yiting Liu, Yuhao Liu:
Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning. IEEE Trans. Fuzzy Syst. 31(12): 4321-4335 (2023) - [j68]Maoguo Gong
, Wenyuan Qiao
, Hao Li
, A. Kai Qin
, Tianqi Gao
, Tianshi Luo, Lining Xing
:
RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j67]Xiaolong Fan
, Maoguo Gong
, Yue Wu
, A. Kai Qin
, Yu Xie
:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1952-1964 (2023) - [j66]Maoguo Gong
, Hui Zhou
, A. Kai Qin
, Wenfeng Liu, Zhongying Zhao
:
Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9234-9247 (2023) - [j65]Prabath Abeysekara, Hai Dong
, A. Kai Qin
:
Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT Systems. IEEE Trans. Serv. Comput. 16(1): 246-260 (2023) - [j64]Prabath Abeysekara, Hai Dong
, A. Kai Qin
:
Edge Intelligence for Real-Time IoT Service Trust Prediction. IEEE Trans. Serv. Comput. 16(4): 2606-2619 (2023) - [c74]Zheping Liu
, Andy Song
, Nasser R. Sabar
, Takero Izuhara, A. Kai Qin:
Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data. GECCO Companion 2023: 739-742 - [c73]Mrinmay Sen, C. Krishna Mohan, A. Kai Qin:
Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction. HPCC/DSS/SmartCity/DependSys 2023: 217-224 - [c72]David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. Kai Qin:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). ICDE 2023: 3795-3796 - [c71]Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita
, Hanna Grzybowska:
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. IJCNN 2023: 1-7 - [c70]Mrinmay Sen, C. Krishna Mohan, A. Kai Qin:
Federated Optimization with Linear-Time Approximated Hessian Diagonal. PReMI 2023: 106-113 - [i27]David Alexander Tedjopurnomo
, Farhana Murtaza Choudhury, A. Kai Qin:
TrafFormer: A Transformer Model for Predicting Long-term Traffic. CoRR abs/2302.12388 (2023) - [i26]Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. CoRR abs/2307.03920 (2023) - [i25]Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai Qin:
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. CoRR abs/2307.14019 (2023) - [i24]Ziru Niu, Hai Dong
, A. Kai Qin, Tao Gu:
FLrce: Efficient Federated Learning with Relationship-based Client Selection and Early-Stopping Strategy. CoRR abs/2310.09789 (2023) - 2022
- [j63]Colin Jacobs
, Karl Glazebrook
, Alex Kai Qin
, Thomas Collett
:
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe. Astron. Comput. 38: 100535 (2022) - [j62]Nasrin Sultana
, Jeffrey Chan
, Tabinda Sarwar
, A. Kai Qin:
Learning to optimise general TSP instances. Int. J. Mach. Learn. Cybern. 13(8): 2213-2228 (2022) - [j61]Xiangrong Zhang
, Ling He
, A. Kai Qin, Qi Dang, Hongjie Si, Xu Tang
, Licheng Jiao
:
SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote Sensing. Remote. Sens. 14(7): 1580 (2022) - [j60]Sijia Zhang
, Maoguo Gong
, Yu Xie
, A. Kai Qin
, Hao Li
, Yuan Gao
, Yew-Soon Ong
:
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5427-5437 (2022) - [j59]Kaiyuan Feng
, Xia Fei, Maoguo Gong
, A. Kai Qin
, Hao Li
, Yue Wu:
An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5790-5802 (2022) - [j58]Jia Liu, Maoguo Gong
, Zedong Tang, A. Kai Qin
, Hao Li
, Fenlong Jiang
:
Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6599-6614 (2022) - [j57]Zedong Tang, Maoguo Gong
, Yue Wu
, A. Kai Qin
, Kay Chen Tan
:
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52(7): 6745-6758 (2022) - [j56]Hao Xu, Alex Kai Qin
, Siyu Xia:
Evolutionary Multitask Optimization With Adaptive Knowledge Transfer. IEEE Trans. Evol. Comput. 26(2): 290-303 (2022) - [j55]Yuxiao Huang
, Liang Feng
, Alex Kai Qin
, Meng Chen, Kay Chen Tan
:
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. 26(3): 585-598 (2022) - [j54]Zedong Tang, Maoguo Gong
, Yu Xie
, Hao Li
, Alex Kai Qin
:
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 300-314 (2022) - [j53]Maoguo Gong
, Fenlong Jiang
, Alex Kai Qin
, Tongfei Liu
, Tao Zhan
, Di Lu
, Hanhong Zheng
, Mingyang Zhang
:
A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j52]Jiao Shi
, Tiancheng Wu
, A. Kai Qin
, Yu Lei
, Gwanggil Jeon
:
Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j51]Guangliang Gao
, Zhifeng Bao
, Jie Cao
, A. Kai Qin
, Timos Sellis
:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Trans. Intell. Syst. Technol. 13(2): 32:1-32:25 (2022) - [j50]David Alexander Tedjopurnomo
, Zhifeng Bao
, Baihua Zheng
, Farhana Murtaza Choudhury
, Alex Kai Qin
:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. IEEE Trans. Knowl. Data Eng. 34(4): 1544-1561 (2022) - [j49]Maoguo Gong
, Shunfei Ji
, Yu Xie
, Yuan Gao
, Alex Kai Qin
:
Exploring Temporal Information for Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34(8): 3754-3764 (2022) - [j48]Yue Wu
, Jiaheng Li, Yongzhe Yuan, A. Kai Qin
, Qiguang Miao
, Maoguo Gong
:
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4257-4270 (2022) - [j47]Chunjiang Zhang
, A. Kai Qin
, Weiming Shen
, Liang Gao
, Kay Chen Tan
, Xinyu Li
:
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 769-785 (2022) - [c69]David Alexander Tedjopurnomo
, Zhifeng Bao, Farhana Murtaza Choudhury, Hui Luo
, A. Kai Qin:
Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore. FAccT 2022: 278-288 - [c68]Binyan Hu, Yu Sun, A. Kai Qin:
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. IJCNN 2022: 1-8 - [c67]Hui Song
, A. Kai Qin, Chenggang Yan:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. IJCNN 2022: 1-8 - [i23]Binyan Hu, Yu Sun, Alex Kai Qin:
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. CoRR abs/2205.14606 (2022) - [i22]Nasrin Sultana, Jeffrey Chan
, Tabinda Sarwar
, Alex Kai Qin:
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. CoRR abs/2205.15656 (2022) - [i21]Hui Song
, Alex Kai Qin, Chenggang Yan:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. CoRR abs/2205.15663 (2022) - [i20]Prabath Abeysekara, Hai Dong
, A. Kai Qin:
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges. CoRR abs/2210.12944 (2022) - 2021
- [j46]Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. Kai Qin
:
Graph embedding via multi-scale graph representations. Inf. Sci. 578: 102-115 (2021) - [j45]Wenfeng Liu, Maoguo Gong
, Zedong Tang, A. Kai Qin
, Kai Sheng, Mingliang Xu
:
Locality preserving dense graph convolutional networks with graph context-aware node representations. Neural Networks 143: 108-120 (2021) - [j44]Puhua Chen
, Lei Guo, Xiangrong Zhang
, Alex Kai Qin, Wentao Ma, Licheng Jiao
:
Attention-Guided Siamese Fusion Network for Change Detection of Remote Sensing Images. Remote. Sens. 13(22): 4597 (2021) - [j43]Liang Feng
, Lei Zhou
, Abhishek Gupta
, Jinghui Zhong
, Zexuan Zhu
, Kay Chen Tan
, Alex Kai Qin
:
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. 51(6): 3171-3184 (2021) - [j42]Xun Zhou
, A. Kai Qin
, Maoguo Gong
, Kay Chen Tan
:
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25(5): 894-912 (2021) - [j41]David Alexander Tedjopurnomo
, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin
:
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. ACM Trans. Intell. Syst. Technol. 12(6): 77:1-77:26 (2021) - [j40]Yuan Gao
, Maoguo Gong
, Yu Xie
, Alex Kai Qin
:
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Trans. Multim. 23: 784-796 (2021) - [j39]Maoguo Gong
, Jia Liu
, A. Kai Qin
, Kun Zhao, Kay Chen Tan
:
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 420-434 (2021) - [c66]Xun Zhou
, A. Kai Qin
, Yanan Sun, Kay Chen Tan
:
A Survey of Advances in Evolutionary Neural Architecture Search. CEC 2021: 950-957 - [c65]Ranjie Duan, Xiaofeng Mao
, A. Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang:
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CVPR 2021: 16062-16071 - [c64]Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin
, Yuan He:
AdvDrop: Adversarial Attack to DNNs by Dropping Information. ICCV 2021: 7486-7495 - [c63]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar
, A. Kai Qin
:
Learning to Optimise Routing Problems using Policy Optimisation. IJCNN 2021: 1-8 - [i19]Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He:
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CoRR abs/2103.06504 (2021) - [i18]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. CoRR abs/2104.00955 (2021) - [i17]Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. Kai Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR abs/2104.06670 (2021) - [i16]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - [i15]Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He:
AdvDrop: Adversarial Attack to DNNs by Dropping Information. CoRR abs/2108.09034 (2021) - [i14]Hui Song, A. Kai Qin, Flora D. Salim:
Evolutionary Ensemble Learning for Multivariate Time Series Prediction. CoRR abs/2108.09659 (2021) - [i13]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. Kai Qin:
Learning Enhanced Optimisation for Routing Problems. CoRR abs/2109.08345 (2021) - [i12]Maoguo Gong, Yuan Gao, Yue Wu, A. Kai Qin:
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. CoRR abs/2110.15522 (2021) - 2020
- [j38]Ziming Liu
, Jinyang Li
, Guangyu Gao
, Alex Kai Qin
:
Temporal Memory Network Towards Real-Time Video Understanding. IEEE Access 8: 223837-223847 (2020) - [j37]Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, Alex Kai Qin
:
A Survey on Differentially Private Machine Learning [Review Article]. IEEE Comput. Intell. Mag. 15(2): 49-64 (2020) - [j36]Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. Kai Qin
:
Graph convolutional networks with multi-level coarsening for graph classification. Knowl. Based Syst. 194: 105578 (2020) - [j35]Hui Song
, A. Kai Qin
, Flora D. Salim:
Evolutionary model construction for electricity consumption prediction. Neural Comput. Appl. 32(16): 12155-12172 (2020) - [j34]Maoguo Gong
, Ke Pan, Yu Xie
, A. Kai Qin
, Zedong Tang:
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. Neural Networks 125: 131-141 (2020) - [j33]Ngoc Tran, Jean-Guy Schneider
, Ingo Weber
, A. Kai Qin
:
Hyper-parameter optimization in classification: To-do or not-to-do. Pattern Recognit. 103: 107245 (2020) - [j32]Xiaolong Zheng, A. Kai Qin
, Maoguo Gong
, Deyun Zhou:
Self-Regulated Evolutionary Multitask Optimization. IEEE Trans. Evol. Comput. 24(1): 16-28 (2020) - [j31]Jia Liu, Maoguo Gong
, A. Kai Qin
, Kay Chen Tan
:
Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. 31(3): 876-890 (2020) - [j30]Guoqi Li
, Fei Zeng
, Huiqi Li
, Alex Kai Qin
:
Matrix Function Optimization Problems Under Orthonormal Constraint. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 802-814 (2020) - [c62]Ranjie Duan, Xingjun Ma
, Yisen Wang, James Bailey, A. Kai Qin
, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. CVPR 2020: 997-1005 - [c61]Prabath Abeysekara, Hai Dong
, A. Kai Qin
:
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. IJCNN 2020: 1-8 - [c60]Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin
:
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. IJCNN 2020: 1-8 - [c59]Boyu Zhang, A. Kai Qin
, Hong Pan, Timos Sellis:
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. IJCNN 2020: 1-8 - [i11]Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. CoRR abs/2003.08757 (2020) - [i10]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. CoRR abs/2006.04122 (2020) - [i9]Ziming Liu, Guangyu Gao, A. Kai Qin, Jinyang Li:
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition. CoRR abs/2006.07609 (2020) - [i8]Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin:
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. CoRR abs/2007.01001 (2020) - [i7]Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis:
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. CoRR abs/2007.01016 (2020) - [i6]Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin:
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR abs/2010.05404 (2020) - [i5]Nasrin Sultana, Jeffrey Chan, A. Kai Qin:
Learning to Optimise General TSP Instances. CoRR abs/2010.12214 (2020) - [i4]Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar:
Learning Vehicle Routing Problems using Policy Optimisation. CoRR abs/2012.13269 (2020)
2010 – 2019
- 2019
- [j29]Yeqing Ren, Youqiang Sun, Di Wu, Zhihua Cui, Alex Kai Qin:
A New Makeup Transfer with Super-resolution. Aust. J. Intell. Inf. Process. Syst. 16(2): 59-68 (2019) - [j28]Borhan Kazimipour
, Mohammad Nabi Omidvar
, A. Kai Qin
, Xiaodong Li
, Xin Yao
:
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. Appl. Soft Comput. 76: 265-281 (2019) - [j27]Yu Xie
, Maoguo Gong
, A. Kai Qin
, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - [j26]Jonathan Liono
, Prem Prakash Jayaraman
, A. Kai Qin
, Thuong Nguyen, Flora D. Salim
:
QDaS: Quality driven data summarisation for effective storage management in Internet of Things. J. Parallel Distributed Comput. 127: 196-208 (2019) - [j25]Maoguo Gong, Aimin Zhou, A. Kai Qin
, Linqiang Pan:
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47: 1-2 (2019) - [j24]Liang Feng
, Lei Zhou, Jinghui Zhong
, Abhishek Gupta
, Yew-Soon Ong
, Kay Chen Tan
, Alex Kai Qin
:
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49(9): 3457-3470 (2019) - [j23]Xinle Liang
, A. Kai Qin
, Ke Tang
, Kay Chen Tan
:
QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. 12(2): 276-289 (2019) - [c58]Chen Jin, Pei-Wei Tsai, A. Kai Qin
:
A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. CEC 2019: 1564-1571 - [c57]Xiaolong Zheng, Yu Lei, A. Kai Qin
, Deyun Zhou, Jiao Shi, Maoguo Gong:
Differential Evolutionary Multi-task Optimization. CEC 2019: 1914-1921 - [c56]Hui Song
, A. Kai Qin
, Pei-Wei Tsai, Jing J. Liang
:
Multitasking Multi-Swarm Optimization. CEC 2019: 1937-1944 - [c55]Prabath Abeysekara, Hai Dong
, A. Kai Qin
:
Machine Learning-Driven Trust Prediction for MEC-Based IoT Services. ICWS 2019: 188-192 - [c54]Ziming Liu, Guangyu Gao, A. Kai Qin
, Tong Wu, Chi Harold Liu:
Action Recognition with Bootstrapping based Long-range Temporal Context Attention. ACM Multimedia 2019: 583-591 - [c53]Jonathan Liono, Flora D. Salim, Niels van Berkel
, Vassilis Kostakos, A. Kai Qin
:
Improving Experience Sampling with Multi-view User-driven Annotation Prediction. PerCom 2019: 1-11 - [i3]Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. CoRR abs/1901.01774 (2019) - 2018
- [j22]Wei Shao
, Thuong Nguyen
, A. Kai Qin, Moustafa Youssef
, Flora D. Salim
:
BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access. IEEE Internet Things J. 5(6): 5227-5239 (2018) - [j21]Jia Liu, Maoguo Gong
, A. Kai Qin
, Puzhao Zhang:
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Trans. Neural Networks Learn. Syst. 29(3): 545-559 (2018) - [j20]Sajib Mistry
, Athman Bouguettaya
, Hai Dong
, Alex Kai Qin
:
Metaheuristic Optimization for Long-term IaaS Service Composition. IEEE Trans. Serv. Comput. 11(1): 131-143 (2018) - [c52]Boyu Zhang, A. Kai Qin
, Timos Sellis
:
Evolutionary feature subspaces generation for ensemble classification. GECCO 2018: 577-584 - [c51]Hui Song
, Alex Kai Qin
, Flora D. Salim
:
Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction. IJCNN 2018: 1-8 - [c50]Jonathan Liono, Zahraa S. Abdallah
, A. Kai Qin
, Flora D. Salim
:
Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. MobiQuitous 2018: 342-351 - 2017
- [j19]Lishan Cui, Xiuzhen Zhang, A. Kai Qin
, Timos Sellis
, Lifang Wu:
CDS: Collaborative distant supervision for Twitter account classification. Expert Syst. Appl. 83: 94-103 (2017) - [j18]Chong Zhang
, Pin Lim, A. Kai Qin
, Kay Chen Tan
:
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2306-2318 (2017) - [c49]Chen Jin, A. Kai Qin
:
A GPU-based implementation of brain storm optimization. CEC 2017: 2698-2705 - [c48]Boyu Zhang, A. Kai Qin
, Jeffrey Chan
:
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. ICONIP (2) 2017: 189-197 - [c47]Hui Song
, A. Kai Qin
, Flora D. Salim
:
Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction. ICONIP (5) 2017: 600-609 - [c46]Malagalage Sameera Hemangi Jayaratna, Athman Bouguettaya
, Hai Dong
, A. Kai Qin
, Abdelkarim Erradi:
Subjective Evaluation of Market-Driven Cloud Services. ICWS 2017: 516-523 - [i2]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - [i1]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao:
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR abs/1706.03470 (2017) - 2016
- [j17]Bo-Yang Qu, B. F. Lang, Jing J. Liang
, A. Kai Qin
, Oscar D. Crisalle:
Two-hidden-layer extreme learning machine for regression and classification. Neurocomputing 175: 826-834 (2016) - [j16]Maoguo Gong
, Yue Wu, Qing Cai, Wenping Ma, A. Kai Qin
, Zhenkun Wang
, Licheng Jiao
:
Discrete particle swarm optimization for high-order graph matching. Inf. Sci. 328: 158-171 (2016) - [j15]Kaiyue Lu, Siyu Xia, Junkang Zhang, A. Kai Qin
:
Robust road detection in shadow conditions. J. Electronic Imaging 25(4): 043027 (2016) - [c45]Angus Kenny, Xiaodong Li
, A. Kai Qin
, Andreas T. Ernst
:
A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs. GECCO 2016: 333-340 - [c44]Rui Chen, Haoran Li, A. Kai Qin
, Shiva Prasad Kasiviswanathan, Hongxia Jin:
Private spatial data aggregation in the local setting. ICDE 2016: 289-300 - [c43]Junkang Zhang, Si-Yu Xia, Hong Pan
, A. Kai Qin
:
A genetics-motivated unsupervised model for tri-subject kinship verification. ICIP 2016: 2916-2920 - [c42]Junkang Zhang, Si-Yu Xia, Kaiyue Lu, Hong Pan
, A. Kai Qin
:
Robust road detection from a single image. ICPR 2016: 859-864 - [c41]Allan Campbell, Vic Ciesielski, A. Kai Qin
:
Node label matching improves classification performance in Deep Belief Networks. IJCNN 2016: 1646-1653 - [c40]Hui Song
, A. Kai Qin
, Flora D. Salim
:
Multivariate electricity consumption prediction with Extreme Learning Machine. IJCNN 2016: 2313-2320 - [c39]Yawei Li, Lizuo Jin, A. Kai Qin
, Changyin Sun, Yew-Soon Ong
, Tong Cui:
Semi-supervised auto-encoder based on manifold learning. IJCNN 2016: 4032-4039 - [c38]Jonathan Liono, A. Kai Qin
, Flora D. Salim
:
Optimal time window for temporal segmentation of sensor streams in multi-activity recognition. MobiQuitous 2016: 10-19 - 2015
- [j14]Lunjun Wan, Ke Tang, Mingzhi Li, Yanfei Zhong, A. Kai Qin
:
Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(5): 2384-2396 (2015) - [c37]Borhan Kazimipour, Mohammad Nabi Omidvar
, Xiaodong Li
, A. Kai Qin
:
A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms. CEC 2015: 417-424 - [c36]Chen Jin, A. Kai Qin
, Ke Tang:
Local ensemble surrogate assisted crowding differential evolution. CEC 2015: 433-440 - [c35]Shengcai Liu, Yufan Wei, Ke Tang, A. Kai Qin
, Xin Yao
:
QoS-aware long-term based service composition in cloud computing. CEC 2015: 3362-3369 - [c34]Allan Campbell, Vic Ciesielski, A. Kai Qin
:
Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images. EvoMUSART 2015: 27-38 - [c33]Sajib Mistry
, Athman Bouguettaya
, Hai Dong
, A. Kai Qin
:
Optimizing Long-term IaaS Service Composition. ICSOC 2015: 333-342 - [c32]Sajib Mistry
, Athman Bouguettaya
, Hai Dong
, A. Kai Qin
:
Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition. ICWS 2015: 49-56 - [c31]Siyu Xia, Junkang Zhang, Kaiyue Lu, A. Kai Qin
:
Road detection via unsupervised feature learning. IVCNZ 2015: 1-6 - 2014
- [c30]A. Kai Qin
, Ke Tang, Hong Pan
, Si-Yu Xia:
Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. IEEE Congress on Evolutionary Computation 2014: 467-474 - [c29]Borhan Kazimipour, Xiaodong Li
, A. Kai Qin
:
Effects of population initialization on differential evolution for large scale optimization. IEEE Congress on Evolutionary Computation 2014: 2404-2411 - [c28]Borhan Kazimipour, Xiaodong Li
, A. Kai Qin
:
A review of population initialization techniques for evolutionary algorithms. IEEE Congress on Evolutionary Computation 2014: 2585-2592 - [c27]Borhan Kazimipour, Mohammad Nabi Omidvar
, Xiaodong Li
, A. Kai Qin
:
A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization. IEEE Congress on Evolutionary Computation 2014: 2833-2840 - [c26]Bing Xue
, A. Kai Qin
, Mengjie Zhang:
An archive based particle swarm optimisation for feature selection in classification. IEEE Congress on Evolutionary Computation 2014: 3119-3126 - [c25]Wei Liu, Hui Song
, Jane-Jing Liang
, Bo-Yang Qu, Alex Kai Qin
:
Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting. ICIC (3) 2014: 403-412 - [c24]Si-Yu Xia, Hong Pan
, A. Kai Qin
:
Face Clustering in Photo Album. ICPR 2014: 2844-2848 - [c23]Jane-Jing Liang
, Hui Song
, Bo-Yang Qu, Wei Liu, Alex Kai Qin
:
Neural Network Based on Dynamic Multi-swarm Particle Swarm Optimizer for Ultra-Short-Term Load Forecasting. ICSI (2) 2014: 384-391 - [c22]Jinhong Zhong, Ke Tang, A. Kai Qin
:
Finding convex hull vertices in metric space. IJCNN 2014: 1587-1592 - [c21]Borhan Kazimipour, Xiaodong Li, A. Kai Qin:
Why Advanced Population Initialization Techniques Perform Poorly in High Dimension? SEAL 2014: 479-490 - 2013
- [j13]Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. Kai Qin
:
Input Space Partitioning for Neural Network Learning. Int. J. Appl. Evol. Comput. 4(2): 56-66 (2013) - [c20]A. Kai Qin
, Xiaodong Li
:
Differential evolution on the CEC-2013 single-objective continuous optimization testbed. IEEE Congress on Evolutionary Computation 2013: 1099-1106 - [c19]A. Kai Qin
, Xiaodong Li
, Hong Pan
, Siyu Xia:
Investigation of self-adaptive differential evolution on the CEC-2013 real-parameter single-objective optimization testbed. IEEE Congress on Evolutionary Computation 2013: 1107-1114 - [c18]Borhan Kazimipour, Xiaodong Li
, A. Kai Qin
:
Initialization methods for large scale global optimization. IEEE Congress on Evolutionary Computation 2013: 2750-2757 - [c17]Feng Xie, A. Kai Qin
, Andy Song
, Victor Ciesielski:
Sensor-based activity recognition with improved GP-based classifier. IEEE Congress on Evolutionary Computation 2013: 3043-3050 - [c16]Hong Pan
, Yaping Zhu, A. Kai Qin
, Liangzheng Xia:
Mining heterogeneous class-specific codebook for categorical object detection and classification. ICIP 2013: 3132-3136 - 2012
- [j12]Peter Yu, A. Kai Qin
, David A. Clausi:
Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty. IEEE Trans. Geosci. Remote. Sens. 50(4): 1302-1317 (2012) - [c15]A. Kai Qin
, Federico Raimondo
, Florence Forbes, Yew-Soon Ong
:
An improved CUDA-based implementation of differential evolution on GPU. GECCO 2012: 991-998 - [c14]Hong Pan, Yaping Zhu, Siyu Xia, A. Kai Qin:
Improved generic categorical object detection fusing depth cue with 2D appearance and shape features. ICPR 2012: 1467-1470 - 2011
- [c13]A. Kai Qin
, Florence Forbes:
Dynamic regional harmony search with opposition and local learning. GECCO (Companion) 2011: 53-54 - [c12]A. Kai Qin
, Florence Forbes:
Harmony search with differential mutation based pitch adjustment. GECCO 2011: 545-552 - 2010
- [j11]A. Kai Qin
, David A. Clausi:
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty. IEEE Trans. Image Process. 19(8): 2157-2170 (2010)
2000 – 2009
- 2009
- [j10]A. Kai Qin
, Vicky Ling Huang, Ponnuthurai N. Suganthan
:
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization. IEEE Trans. Evol. Comput. 13(2): 398-417 (2009) - 2007
- [c11]Vicky Ling Huang, A. Kai Qin
, Ponnuthurai N. Suganthan
, Mehmet Fatih Tasgetiren
:
Multi-objective optimization based on self-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2007: 3601-3608 - 2006
- [j9]Jing J. Liang
, S. Baskar, Ponnuthurai N. Suganthan, A. Kai Qin
:
Performance Evaluation of Multiagent Genetic Algorithm. Nat. Comput. 5(1): 83-96 (2006) - [j8]A. Kai Qin
, Ponnuthurai N. Suganthan
, Marco Loog:
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction. Pattern Recognit. 39(9): 1805-1808 (2006) - [j7]Jing J. Liang
, A. Kai Qin
, Ponnuthurai N. Suganthan
, S. Baskar:
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10(3): 281-295 (2006) - [c10]Vicky Ling Huang, A. Kai Qin, Ponnuthurai N. Suganthan
:
Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization. IEEE Congress on Evolutionary Computation 2006: 17-24 - [c9]A. Kai Qin
, Ponnuthurai N. Suganthan, C. H. Tay, H. S. Pa:
Personal Identification System based on Multiple Palmprint Features. ICARCV 2006: 1-6 - [c8]A. Kai Qin
, Ponnuthurai N. Suganthan, Marco Loog:
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. ICPR (3) 2006: 125-128 - 2005
- [j6]E. Ke Tang, Ponnuthurai N. Suganthan
, Xin Yao
, A. Kai Qin
:
Linear dimensionality reduction using relevance weighted LDA. Pattern Recognit. 38(4): 485-493 (2005) - [j5]A. Kai Qin
, Ponnuthurai N. Suganthan
, Marco Loog:
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion. Pattern Recognit. 38(4): 613-616 (2005) - [j4]A. Kai Qin
, Ponnuthurai N. Suganthan
:
Initialization insensitive LVQ algorithm based on cost-function adaptation. Pattern Recognit. 38(5): 773-776 (2005) - [j3]A. Kai Qin
, Ponnuthurai N. Suganthan
:
Enhanced neural gas network for prototype-based clustering. Pattern Recognit. 38(8): 1275-1288 (2005) - [j2]Qin-Yu Zhu, A. Kai Qin
, Ponnuthurai N. Suganthan
, Guang-Bin Huang
:
Evolutionary extreme learning machine. Pattern Recognit. 38(10): 1759-1763 (2005) - [c7]A. Kai Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog:
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. AAAI 2005: 851-855 - [c6]A. Kai Qin, Ponnuthurai N. Suganthan:
Self-adaptive differential evolution algorithm for numerical optimization. Congress on Evolutionary Computation 2005: 1785-1791 - 2004
- [j1]A. Kai Qin, Ponnuthurai N. Suganthan:
Robust growing neural gas algorithm with application in cluster analysis. Neural Networks 17(8-9): 1135-1148 (2004) - [c5]Jing J. Liang
, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
Evaluation of Comprehensive Learning Particle Swarm Optimizer. ICONIP 2004: 230-235 - [c4]A. Kai Qin
, Ponnuthurai N. Suganthan
:
Kernel Neural Gas Algorithms with Application to Cluster Analysis. ICPR (4) 2004: 617-620 - [c3]A. Kai Qin
, Ponnuthurai N. Suganthan
:
A Novel Kernel Prototype-Based Learning Algorithm. ICPR (4) 2004: 621-624 - [c2]Jing J. Liang
, A. Kai Qin
, Ponnuthurai N. Suganthan
, S. Baskar:
Particle swarm optimization algorithms with novel learning strategies. SMC (4) 2004: 3659-3664 - [c1]A. Kai Qin
, Ponnuthurai N. Suganthan, Jing J. Liang
:
A new generalized LVQ algorithm via harmonic to minimum distance measure transition. SMC (5) 2004: 4821-4825
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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