Senzhang Wang(王森章)
Senzhang Wang(王森章)
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Deep learning for spatio-temporal data mining: A survey
S Wang, J Cao, SY Philip
IEEE transactions on knowledge and data engineering 34 (8), 3681-3700, 2020
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
H Peng, H Wang, B Du, MZA Bhuiyan, H Ma, J Liu, L Wang, Z Yang, L Du, ...
Information Sciences 521, 277-290, 2020
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
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
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, SY Philip, L He
IEEE Transactions on Knowledge and Data Engineering 33 (6), 2505-2519, 2019
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
H Peng, B Du, M Liu, M Liu, S Ji, S Wang, X Zhang, L He
Information Sciences 578, 401-416, 2021
Deeply fusing reviews and contents for cold start users in cross-domain recommendation systems
W Fu, Z Peng, S Wang, Y Xu, J Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 94-101, 2019
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
Trafficgan: Network-scale deep traffic prediction with generative adversarial nets
Y Zhang, S Wang, B Chen, J Cao, Z Huang
IEEE Transactions on Intelligent Transportation Systems 22 (1), 219-230, 2019
Deep collaborative filtering with multi-aspect information in heterogeneous networks
C Shi, X Han, L Song, X Wang, S Wang, J Du, SY Philip
IEEE transactions on knowledge and data engineering 33 (4), 1413-1425, 2019
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
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
X Han, C Shi, S Wang, SY Philip, L Song
IJCAI 18, 3393-3399, 2018
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
Adversarial learning for weakly-supervised social network alignment
C Li, S Wang, Y Wang, P Yu, Y Liang, Y Liu, Z Li
Proceedings of the AAAI conference on artificial intelligence 33 (01), 996-1003, 2019
Influence maximization across partially aligned heterogenous social networks
Q Zhan, J Zhang, S Wang, PS Yu, J Xie
Pacific-Asia conference on knowledge discovery and data mining, 58-69, 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
Database Systems for Advanced Applications: 22nd International Conference …, 2017
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network.
Y Zhang, J Fu, D She, Y Zhang, S Wang, J Yang
IJCAI, 4595-4601, 2018
SeqST-GAN: Seq2Seq generative adversarial nets for multi-step urban crowd flow prediction
S Wang, J Cao, H Chen, H Peng, Z Huang
ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-24, 2020
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