Meng Wang
Zitiert von
Zitiert von
Towards empty answers in SPARQL: approximating querying with RDF embedding
M Wang, R Wang, J Liu, Y Chen, L Zhang, G Qi
International semantic web conference, 513-529, 2018
Safe medicine recommendation via medical knowledge graph embedding
M Wang, M Liu, J Liu, S Wang, G Long, B Qian
arXiv preprint arXiv:1710.05980, 2017
Pdd graph: Bridging electronic medical records and biomedical knowledge graphs via entity linking
M Wang, J Zhang, J Liu, W Hu, S Wang, X Li, W Liu
International Semantic Web Conference, 219-227, 2017
Fine-grained Image Classification by Visual-Semantic Embedding.
H Xu, G Qi, J Li, M Wang, K Xu, H Gao
IJCAI, 1043-1049, 2018
Graph embedding based familial analysis of android malware using unsupervised learning
M Fan, X Luo, J Liu, M Wang, C Nong, Q Zheng, T Liu
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
Combining the kernel collaboration representation and deep subspace learning for facial expression recognition
Z Sun, ZP Hu, R Chiong, M Wang, W He
Journal of Circuits, Systems and Computers 27 (08), 1850121, 2018
Discriminative feature learning-based pixel difference representation for facial expression recognition
Z Sun, ZP Hu, M Wang, SH Zhao
IET Computer Vision 11 (8), 675-682, 2017
Dictionary learning feature space via sparse representation classification for facial expression recognition
Z Sun, Z Hu, M Wang, S Zhao
Artificial Intelligence Review 51 (1), 1-18, 2019
Answering why-not questions on SPARQL queries
M Wang, J Liu, B Wei, S Yao, H Zeng, L Shi
Knowledge and Information Systems 58 (1), 169-208, 2019
A survey of techniques for constructing Chinese knowledge graphs and their applications
T Wu, G Qi, C Li, M Wang
Sustainability 10 (9), 3245, 2018
Attention driven multi-modal similarity learning
X Gao, T Mu, JY Goulermas, M Wang
Information Sciences 432, 530-542, 2018
AHNG: representation learning on attributed heterogeneous network
M Liu, J Liu, Y Chen, M Wang, H Chen, Q Zheng
Information Fusion 50, 221-230, 2019
Leveraging knowledge graph embeddings for natural language question answering
R Wang, M Wang, J Liu, W Chen, M Cochez, S Decker
International Conference on Database Systems for Advanced Applications, 659-675, 2019
An adaptive weighted fusion model with two subspaces for facial expression recognition
Z Sun, Z Hu, R Chiong, M Wang, S Zhao
Signal, Image and Video Processing 12 (5), 835-843, 2018
Topic driven multimodal similarity learning with multi-view voted convolutional features
X Gao, T Mu, JY Goulermas, M Wang
Pattern Recognition 75, 223-234, 2018
Flag: Faster learning on anchor graph with label predictor optimization
W Fu, M Wang, S Hao, T Mu
IEEE Transactions on Big Data, 2017
ANNA: Answering Why-Not Questions for SPARQL.
S Yao, J Liu, M Wang, B Wei, X Chen
International Semantic Web Conference (Posters & Demos), 2015
Adaptive local learning regularized nonnegative matrix factorization for data clustering
Y Sheng, M Wang, T Wu, H Xu
Applied Intelligence 49 (6), 2151-2168, 2019
Graph embedding based query construction over knowledge graphs
R Wang, M Wang, J Liu, S Yao, Q Zheng
2018 IEEE International Conference on Big Knowledge (ICBK), 1-8, 2018
One-shot learning for long-tail visual relation detection
W Wang, M Wang, S Wang, G Long, L Yao, G Qi, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12225 …, 2020
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