Wei Pang
Cited by
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Particle swarm optimization for traveling salesman problem
KP Wang, L Huang, CG Zhou, W Pang
Proceedings of the 2003 international conference on machine learning and …, 2003
Fuzzy discrete particle swarm optimization for solving traveling salesman problem
W Pang, K Wang, C Zhou, L Dong
The Fourth International Conference onComputer and Information Technology …, 2004
A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data
J Ji, X Han, C Zhou, Z Wang
Knowledge-Based Systems, 2012
Hete-cf: Social-based collaborative filtering recommendation using heterogeneous relations
C Luo, W Pang, Z Wang, C Lin
2014 IEEE International Conference on Data Mining, 917-922, 2014
Combinatorial stresses kill pathogenic Candida species
D Kaloriti, A Tillmann, E Cook, M Jacobsen, T You, M Lenardon, L Ames, ...
Medical Mycology, 1-11, 2012
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers
Y Xue, T Tang, W Pang, AX Liu
Applied Soft Computing 88, 106031, 2020
Modified particle swarm optimization based on space transformation for solving traveling salesman problem
W Pang, KP Wang, CG Zhou, LJ Dong, M Liu, HY Zhang, JY Wang
Proceedings of 2004 International Conference on Machine Learning and …, 2004
Hybrid Approach Based on Ant Algorithm for Solving Traveling Salesman Problem
W Huang, L. Wang, K.P. Zhou, C.G. Yuang, Y. Pang
Acta Scientiarium Naturalium Universitatis Jilinensis 40 (4), 369-373, 2002
Particle swarm optimization for traveling salesman problems
L Huang, K Wang, C Zhou, W Pang, L Dong
Acta Scientiarum Naturalium Universitatis Jilinensis 41 (4), 477-480, 2003
Deep ensemble learning for human action recognition in still images
X Yu, Z Zhang, L Wu, W Pang, H Chen, Z Yu, B Li
Complexity 2020, 1-23, 2020
Gans-based data augmentation for citrus disease severity detection using deep learning
Q Zeng, X Ma, B Cheng, E Zhou, W Pang
IEEE Access 8, 172882-172891, 2020
Deepswarm: Optimising convolutional neural networks using swarm intelligence
E Byla, W Pang
Advances in Computational Intelligence Systems: Contributions Presented at …, 2020
Semi-supervised clustering on heterogeneous information networks
C Luo, W Pang, Z Wang
Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014
McDPC: multi-center density peak clustering
Y Wang, D Wang, X Zhang, W Pang, C Miao, AH Tan, Y Zhou
Neural Computing and Applications 32, 13465-13478, 2020
An evolutionary computation based feature selection method for intrusion detection
Y Xue, W Jia, X Zhao, W Pang
Security and Communication Networks 2018, 2018
Mammographic image classification with deep fusion learning
X Yu, W Pang, Q Xu, M Liang
Scientific Reports 10 (1), 14361, 2020
A Novel Artificial Bee Colony Based Clustering Algorithm for Categorical Data
ZM Jinchao Ji, Wei Pang, Yanlin Zheng, Zhe Wang
PLOS ONE 10 (5), 2015
FREDPC: A feasible residual error-based density peak clustering algorithm with the fragment merging strategy
MD Parmar, W Pang, D Hao, J Jiang, W Liupu, L Wang, Y Zhou
IEEE Access 7, 89789-89804, 2019
A self-adaptive fireworks algorithm for classification problems
Y Xue, B Zhao, T Ma, W Pang
IEEE Access 6, 44406-44416, 2018
The social sciences and the web: From ‘Lurking’to interdisciplinary ‘Big Data’research
J Bone, CD Emele, A Abdul, G Coghill, W Pang
Methodological innovations 9, 2059799116630665, 2016
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