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ORCIDA. Kai Qin
Alex 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
Other persons with a similar name
- Kai-Qin Cao
- Qin Kai-Da
- Kai Qin
- Kai-Da Qin
- Kai-Rong Qin (aka: Kairong Qin) — disambiguation page
- Kyle Kai Qin
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2020 – today
- 2025
[j101]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
- [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, Alex Kai Qin:
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. IEEE Trans. Cybern. 54(9): 5283-5296 (2024) - [j94]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) - [j93]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) - [j92]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) - [j91]Hao Li, Fanggao Wan, Maoguo Gong, A. Kai Qin, Yue Wu, Lining Xing:
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption. IEEE Trans. Evol. Comput. 28(5): 1336-1350 (2024) - [j90]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) - [j89]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) - [j88]Hao Li, Pengyang Niu, Maoguo Gong, Lining Xing, Yue Wu, A. Kai Qin:
Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]Ziru Niu, Hai Dong, A. Kai Qin, Tao Gu:
FLrce: Resource-Efficient Federated Learning With Early-Stopping Strategy. IEEE Trans. Mob. Comput. 23(12): 14514-14529 (2024) - [j81]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) - [j80]Yuanqiao Zhang, Maoguo Gong, Yuan Gao, Alex Kai Qin, Kun Wang, Yi-Ming Lin, Shanfeng Wang:
Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14932-14944 (2024) - [j79]Yue Wu, Yue Zhang, Wenping Ma, Maoguo Gong, Xiaolong Fan, Mingyang Zhang, A. Kai Qin, Qiguang Miao:
RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15453-15466 (2024) - [j78]Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. Kai Qin, Yue Wu, Fei Xie:
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15883-15895 (2024) - [c75]Mrinmay Sen, A. Kai Qin, Gayathri C, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman:
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix. IJCNN 2024: 1-7 - [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
[j100] [j95] [j94] [j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [j81] [j80] [j79] [j78] [j75] [j74] [j71] [j70] [j69] [j68] [j67] [j66] [i25] [j60] [j59] [j58] [j57] [j54] [j53] [j49] [j48] [j46] [j45] [j42] [j40] [j39] [i18] [i17] [i16] [i12] [j37] [j36] [j34] [j32] [j31] [i6] [j27] [j25] [c57] [j21] [j16]
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