Wang Guangtao
Cited by
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A fast clustering-based feature subset selection algorithm for high-dimensional data
Q Song, J Ni, G Wang
IEEE transactions on knowledge and data engineering 25 (1), 1-14, 2011
A feature subset selection algorithm automatic recommendation method
G Wang, Q Song, H Sun, X Zhang, B Xu, Y Zhou
Journal of Artificial Intelligence Research 47, 1-34, 2013
Automatic recommendation of classification algorithms based on data set characteristics
Q Song, G Wang, C Wang
Pattern recognition 45 (7), 2672-2689, 2012
Selecting feature subset for high dimensional data via the propositional FOIL rules
G Wang, Q Song, B Xu, Y Zhou
Pattern Recognition 46 (1), 199-214, 2013
Automatic clustering via outward statistical testing on density metrics
G Wang, Q Song
IEEE Transactions on Knowledge and Data Engineering 28 (8), 1971-1985, 2016
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
M Tu, G Wang, J Huang, Y Tang, X He, B Zhou
arXiv preprint arXiv:1905.07374, 2019
A dissimilarity-based imbalance data classification algorithm
X Zhang, Q Song, G Wang, K Zhang, L He, X Jia
Applied Intelligence 42 (3), 544-565, 2015
CenLP: A centrality-based label propagation algorithm for community detection in networks
H Sun, J Liu, J Huang, G Wang, Z Yang, Q Song, X Jia
Physica A: Statistical Mechanics and its Applications 436, 767-780, 2015
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents.
M Tu, K Huang, G Wang, J Huang, X He, B Zhou
AAAI, 9073-9080, 2020
LinkLPA: A Link‐Based Label Propagation Algorithm for Overlapping Community Detection in Networks
H Sun, J Liu, J Huang, G Wang, X Jia, Q Song
Computational Intelligence 33 (2), 308-331, 2017
An improved data characterization method and its application in classification algorithm recommendation
G Wang, Q Song, X Zhu
Applied Intelligence 43 (4), 892-912, 2015
A generic multilabel learning-based classification algorithm recommendation method
G Wang, Q Song, X Zhang, K Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (1), 1-30, 2014
Improving Graph Attention Networks with Large Margin-based Constraints
G Wang, R Ying, J Huang, J Leskovec
arXiv preprint arXiv:1910.11945, 2019
Margin based PU learning
T Gong, G Wang, J Ye, Z Xu, M Lin
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning
T Luo, W Zhang, S Qiu, Y Yang, D Yi, G Wang, J Ye, J Wang
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Predicting bugs in software code changes using isolation forest
Y He, X Zhu, G Wang, H Sun, Y Wang
2017 IEEE International Conference on Software Quality, Reliability and …, 2017
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
X Hou, J Huang, G Wang, K Huang, X He, B Zhou
arXiv preprint arXiv:1910.10857, 2019
A machine learning based software process model recommendation method
Q Song, X Zhu, G Wang, H Sun, H Jiang, C Xue, B Xu, W Song
Journal of Systems and Software 118, 85-100, 2016
Selecting feature subset via constraint association rules
G Wang, Q Song
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 304-321, 2012
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
Y Tang, J Huang, G Wang, X He, B Zhou
arXiv preprint arXiv:1911.04910, 2019
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