Jian Tang (唐建)
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Line: Large-scale information network embedding
J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei
Proceedings of the 24th international conference on world wide web, 1067-1077, 2015
Pte: Predictive text embedding through large-scale heterogeneous text networks
J Tang, M Qu, Q Mei
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Rotate: Knowledge graph embedding by relational rotation in complex space
Z Sun, ZH Deng, JY Nie, J Tang
ICLR 2019, 2019
Visualizing large-scale and high-dimensional data
J Tang, J Liu, M Zhang, Q Mei
Proceedings of the 25th international conference on world wide web, 287-297, 2016
Understanding the limiting factors of topic modeling via posterior contraction analysis
J Tang, Z Meng, X Nguyen, Q Mei, M Zhang
International Conference on Machine Learning, 190-198, 2014
Adversarial network embedding
Q Dai, Q Li, J Tang, D Wang
arXiv preprint arXiv:1711.07838, 2017
Deepinf: Social influence prediction with deep learning
J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
An attention-based collaboration framework for multi-view network representation learning
M Qu, J Tang, J Shang, X Ren, M Zhang, J Han
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
GMNN: Graph Markov Neural Networks
M Qu, Y Bengio, J Tang
ICML 2019, 2019
Session-based social recommendation via dynamic graph attention networks
W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang
CIKM 2019, 2019
One theme in all views: modeling consensus topics in multiple contexts
J Tang, M Zhang, Q Mei
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Context-aware natural language generation with recurrent neural networks
J Tang, Y Yang, S Carton, M Zhang, Q Mei
arXiv preprint arXiv:1611.09900, 2016
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
FY Sun, J Hoffmann, V Verma, J Tang
ICLR 2020 (Spotlight), 2020
A trigram hidden Markov model for metadata extraction from heterogeneous references
B Ojokoh, M Zhang, J Tang
Information Sciences 181 (9), 1538-1551, 2011
Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network.
Y Luo, J Tang, J Yan, C Xu, Z Chen
AAAI, 1982-1988, 2014
Integrating temporal usage pattern into personalized tag prediction
L Zhang, J Tang, M Zhang
Asia-Pacific Web Conference, 354-365, 2012
Data poisoning attack against unsupervised node embedding methods
M Sun, J Tang, H Li, B Li, C Xiao, Y Chen, D Song
arXiv preprint arXiv:1810.12881, 2018
Speaker adaptation of RNN-BLSTM for speech recognition based on speaker code
Z Huang, J Tang, S Xue, L Dai
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Voting with their feet: Inferring user preferences from app management activities
H Li, W Ai, X Liu, J Tang, G Huang, F Feng, Q Mei
Proceedings of the 25th International Conference on World Wide Web, 1351-1362, 2016
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Articles 1–20