Kai (Alex) Qin
Title
Cited by
Cited by
Year
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
JJ Liang, AK Qin, PN Suganthan, S Baskar
Evolutionary Computation, IEEE Transactions on 10 (3), 281-295, 2006
34152006
Differential evolution algorithm with strategy adaptation for global numerical optimization
AK Qin, VL Huang, PN Suganthan
Evolutionary Computation, IEEE Transactions on 13 (2), 398-417, 2009
31892009
Self-adaptive differential evolution algorithm for numerical optimization
AK Qin, PN Suganthan
Evolutionary Computation, 2005. The 2005 IEEE Congress on 2, 1785-1791 Vol. 2, 2005
12822005
Evolutionary extreme learning machine
QY Zhu, AK Qin, PN Suganthan, GB Huang
Pattern recognition 38 (10), 1759-1763, 2005
7982005
Self-adaptive differential evolution algorithm for constrained real-parameter optimization
VL Huang, AK Qin, PN Suganthan
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, 17-24, 2006
445*2006
Multiobjective deep belief networks ensemble for remaining useful life estimation in prognostics
C Zhang, P Lim, AK Qin, KC Tan
IEEE transactions on neural networks and learning systems 28 (10), 2306-2318, 2017
3842017
Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization
X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China
Gene 7, 33, 2013
3272013
A deep convolutional coupling network for change detection based on heterogeneous optical and radar images
J Liu, M Gong, K Qin, P Zhang
IEEE transactions on neural networks and learning systems 29 (3), 545-559, 2016
2142016
Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty
P Yu, AK Qin, DA Clausi
Geoscience and Remote Sensing, IEEE Transactions on 50 (4), 1302-1317, 2012
2082012
Robust growing neural gas algorithm with application in cluster analysis
AK Qin, PN Suganthan
Neural Networks 17 (8-9), 1135-1148, 2004
1392004
A review of population initialization techniques for evolutionary algorithms
B Kazimipour, X Li, AK Qin
Evolutionary Computation (CEC), 2014 IEEE Congress on, 2585-2592, 2014
1342014
Problem definitions for performance assessment of multi-objective optimization algorithms
VL Huang, AK Qin, K Deb, E Zitzler, PN Suganthan, JJ Liang, M Preuss, ...
Nanyang Technological University, Singapore, Tech. Rep, 2007
128*2007
Multivariate image segmentation using semantic region growing with adaptive edge penalty
AK Qin, DA Clausi
Image Processing, IEEE Transactions on 19 (8), 2157-2170, 2010
1202010
Linear dimensionality reduction using relevance weighted LDA
EK Tang, PN Suganthan, X Yao, AK Qin
Pattern recognition 38 (4), 485-493, 2005
1192005
Evolutionary multitasking via explicit autoencoding
L Feng, L Zhou, J Zhong, A Gupta, YS Ong, KC Tan, AK Qin
IEEE transactions on cybernetics 49 (9), 3457-3470, 2018
1022018
Private Spatial Data Aggregation in the Local Setting
R Chen, H Li, AK Qin, SP Kasiviswanathan, H Jin
97*
Multi-objective optimization based on self-adaptive differential evolution algorithm
VL Huang, AK Qin, PN Suganthan, MF Tasgetiren
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 3601-3608, 2007
952007
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results
B Da, YS Ong, L Feng, AK Qin, A Gupta, Z Zhu, CK Ting, K Tang, X Yao
arXiv preprint arXiv:1706.03470, 2017
882017
Kernel neural gas algorithms with application to cluster analysis
AK Qin, PN Suganthan
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004
852004
Particle swarm optimization algorithms with novel learning strategies
JJ Liang, AK Qin, PM Suganthan, S Baskar
Systems, Man and Cybernetics, 2004 IEEE International Conference on 4, 3659 …, 2004
802004
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Articles 1–20