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ORCIDA. Kai Qin
Alex Kai Qin
Person information
- affiliation: Swinburne University of Technology, Australia
- affiliation: RMIT University, Melbourne, Australia
- affiliation (PhD 2001): Nanyang Technology University, Singapore
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2020 – today
- 2021
[j41]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)- [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) - [i14]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) - [i13]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) - [i12]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) - 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