Wang Guangtao
Wang Guangtao
umich.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
6812011
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
862013
Automatic recommendation of classification algorithms based on data set characteristics
Q Song, G Wang, C Wang
Pattern recognition 45 (7), 2672-2689, 2012
672012
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
642016
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
602019
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
552013
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
512020
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
332015
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
302015
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
242017
Improving Graph Attention Networks with Large Margin-based Constraints
G Wang, R Ying, J Huang, J Leskovec
NerIPS 2019 (Graph Representation Learning-workshop), 2019
232019
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
192019
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
192014
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
182019
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
182017
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
172015
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
152019
Margin based PU learning
T Gong, G Wang, J Ye, Z Xu, M Lin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
132018
Selective attention based graph convolutional networks for aspect-level sentiment classification
X Hou, J Huang, G Wang, X He, B Zhou
arXiv preprint arXiv:1910.10857, 2019
122019
A new classification algorithm recommendation method based on link prediction
X Zhu, X Yang, C Ying, G Wang
Knowledge-Based Systems 159, 171-185, 2018
122018
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