Kai (Alex) Qin
TitreCitée parAnnée
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
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
Self-adaptive differential evolution algorithm for numerical optimization
AK Qin, PN Suganthan
Evolutionary Computation, 2005. The 2005 IEEE Congress on 2, 1785-1791, 2005
Evolutionary extreme learning machine
QY Zhu, AK Qin, PN Suganthan, GB Huang
Pattern recognition 38 (10), 1759-1763, 2005
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
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
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
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, 2016
Robust growing neural gas algorithm with application in cluster analysis
AK Qin, PN Suganthan
Neural Networks 17 (8), 1135-1148, 2004
Linear dimensionality reduction using relevance weighted LDA
EK Tang, PN Suganthan, X Yao, AK Qin
Pattern recognition 38 (4), 485-493, 2005
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
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
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, 2016
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
Kernel neural gas algorithms with application to cluster analysis
AK Qin, PN Suganthan
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004
A review of population initialization techniques for evolutionary algorithms
B Kazimipour, X Li, A Qin
Evolutionary Computation (CEC), 2014 IEEE Congress on. IEEE, 2014
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, 3659-3664, 2004
Evaluation of comprehensive learning particle swarm optimizer
J Liang, A Qin, P Suganthan, S Baskar
Neural Information Processing, 230-235, 2004
MAGIC: MAp-guided ice classification system
DA Clausi, AK Qin, MS Chowdhury, P Yu, P Maillard
Canadian Journal of Remote Sensing 36 (S1), S13-S25, 2010
Private Spatial Data Aggregation in the Local Setting
R Chen, H Li, AK Qin, SP Kasiviswanathan, H Jin
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