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
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
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
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
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
Semi-supervised clustering on heterogeneous information networks
C Luo, W Pang, Z Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 548-559, 2014
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, 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
Essential protein identification based on essential protein–protein interaction prediction by integrated edge weights
Y Jiang, Y Wang, W Pang, L Chen, H Sun, Y Liang, E Blanzieri
Methods 83, 51-62, 2015
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
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights
E Jiang, Y., Wang, Y., Pang, W., Chen, L., Sun, H., Liang, Y. & Blanzieri
The IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014
Deepswarm: Optimising convolutional neural networks using swarm intelligence
E Byla, W Pang
UK Workshop on Computational Intelligence, 119-130, 2019
A self-adaptive fireworks algorithm for classification problems
Y Xue, B Zhao, T Ma, W Pang
IEEE Access 6, 44406-44416, 2018
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 (17), 13465-13478, 2020
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
Sherlock: A semi-automatic framework for quiz generation using a hybrid semantic similarity measure
C Lin, D Liu, W Pang, Z Wang
Cognitive computation 7 (6), 667-679, 2015
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