Kai (Alex) Qin
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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 Vol. 2, 2005
Evolutionary extreme learning machine
QY Zhu, AK Qin, PN Suganthan, GB Huang
Pattern recognition 38 (10), 1759-1763, 2005
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
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
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
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
A survey on modern deep neural network for traffic prediction: Trends, methods and challenges
DA Tedjopurnomo, Z Bao, B Zheng, F Choudhury, AK Qin
IEEE Transactions on Knowledge and Data Engineering, 2020
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
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
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang
arXiv preprint arXiv:2003.08757, 2020
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
Private Spatial Data Aggregation in the Local Setting
R Chen, H Li, AK Qin, SP Kasiviswanathan, H Jin
Self-regulated Evolutionary Multi-task Optimization
X Zheng, AK Qin, M Gong, D Zhou
IEEE Transactions on Evolutionary Computation, 2019
Commonality autoencoder: Learning common features for change detection from heterogeneous images
Y Wu, J Li, Y Yuan, AK Qin, QG Miao, MG Gong
IEEE transactions on neural networks and learning systems 33 (9), 4257-4270, 2021
Robust growing neural gas algorithm with application in cluster analysis
AK Qin, PN Suganthan
Neural Networks 17 (8-9), 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
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
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