Wang Guangtao
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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
Select, answer and explain: Interpretable multi-hop reading comprehension over multiple documents
M Tu, K Huang, G Wang, J Huang, X He, B Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9073-9080, 2020
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
M Tu, G Wang, J Huang, Y Tang, X He, B Zhou
Association for Computational Linguistics, 2019
Multi-hop Attention Graph Neural Network
G Wang, Z Ying, J Huang, J Leskovec
IJCAI 2021, 2020
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
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
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
Y Tang, J Huang, G Wang, X He, B Zhou
Association for Computational Linguistics, 2020
Improving Graph Attention Networks with Large Margin-based Constraints
G Wang, R Ying, J Huang, J Leskovec
NerIPS 2019 (Graph Representation Learning-workshop), 2019
Improving neural language generation with spectrum control
L Wang, J Huang, K Huang, Z Hu, G Wang, Q Gu
International Conference on Learning Representations, 2019
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
Selective attention based graph convolutional networks for aspect-level sentiment classification
X Hou, J Huang, G Wang, X He, B Zhou
Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural …, 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
X Hou, P Qi, G Wang, R Ying, J Huang, X He, B Zhou
NAACL, 2021
A new unsupervised feature selection algorithm using similarity‐based feature clustering
X Zhu, Y Wang, Y Li, Y Tan, G Wang, Q Song
Computational Intelligence 35 (1), 2-22, 2019
A dissimilarity-based imbalance data classification algorithm
X Zhang, Q Song, G Wang, K Zhang, L He, X Jia
Applied Intelligence 42, 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
Inductive Learning on Commonsense Knowledge Graph Completion
B Wang, G Wang, J Huang, J You, J Leskovec, CCJ Kuo
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Dynamic ensemble learning for multi-label classification
X Zhu, J Li, J Ren, J Wang, G Wang
Information Sciences 623, 94-111, 2023
Ensemble of ML-KNN for classification algorithm recommendation
X Zhu, C Ying, J Wang, J Li, X Lai, G Wang
Knowledge-Based Systems 221, 106933, 2021
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
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