Senzhang Wang
Senzhang Wang
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Zitiert von
Zitiert von
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades
S Wang, X Hu, PS Yu, Z Li
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Event detection and popularity prediction in microblogging
X Zhang, X Chen, Y Chen, S Wang, Z Li, J Xia
Neurocomputing 149, 1469-1480, 2015
Deep learning for spatio-temporal data mining: A survey
S Wang, J Cao, P Yu
IEEE transactions on knowledge and data engineering, 2020
Improving stock market prediction via heterogeneous information fusion
X Zhang, Y Zhang, S Wang, Y Yao, B Fang, SY Philip
Knowledge-Based Systems 143, 236-247, 2018
Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning
S Wang, Z Li, W Chao, Q Cao
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
Deep irregular convolutional residual LSTM for urban traffic passenger flows prediction
B Du, H Peng, S Wang, MZA Bhuiyan, L Wang, Q Gong, L Liu, J Li
IEEE Transactions on Intelligent Transportation Systems 21 (3), 972-985, 2019
Influence maximization across partially aligned heterogenous social networks
Q Zhan, J Zhang, S Wang, SY Philip, J Xie
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 58-69, 2015
Acm transactions on intelligent systems and technology
S Wang, J Zhang, Y Fu, Y Li
Citywide traffic congestion estimation with social media
S Wang, L He, L Stenneth, PS Yu, Z Li
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in …, 2015
Burst time prediction in cascades
S Wang, Z Yan, X Hu, SY Philip, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Computing urban traffic congestions by incorporating sparse GPS probe data and social media data
S Wang, X Zhang, J Cao, L He, L Stenneth, PS Yu, Z Li, Z Huang
ACM Transactions on Information Systems (TOIS) 35 (4), 1-30, 2017
PPNE: property preserving network embedding
C Li, S Wang, D Yang, Z Li, Y Yang, X Zhang, J Zhou
International Conference on Database Systems for Advanced Applications, 163-179, 2017
Hierarchical taxonomy-aware and attentional graph capsule RCNNs for large-scale multi-label text classification
H Peng, J Li, S Wang, L Wang, Q Gong, R Yang, B Li, P Yu, L He
IEEE Transactions on Knowledge and Data Engineering, 2019
Feature-selection-based dynamic transfer ensemble model for customer churn prediction
J Xiao, Y Xiao, A Huang, D Liu, S Wang
Knowledge and information systems 43 (1), 29-51, 2015
From properties to links: Deep network embedding on incomplete graphs
D Yang, S Wang, C Li, X Zhang, Z Li
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
X Han, C Shi, S Wang, SY Philip, L Song
IJCAI, 3393-3399, 2018
Negative influence minimizing by blocking nodes in social networks
S Wang, X Zhao, Y Chen, Z Li, K Zhang, J Xia
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
Improving the robustness of complex networks with preserving community structure
Y Yang, Z Li, Y Chen, X Zhang, S Wang
PloS one 10 (2), e0116551, 2015
Future influence ranking of scientific literature
S Wang, S Xie, X Zhang, Z Li, PS Yu, X Shu
Proceedings of the 2014 SIAM International Conference on Data Mining, 749-757, 2014
Estimating urban traffic congestions with multi-sourced data
S Wang, L He, L Stenneth, SY Philip, Z Li, Z Huang
2016 17th IEEE International conference on mobile data management (MDM) 1, 82-91, 2016
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