Xinran He
Xinran He
Snap Inc.
Verifierad e-postadress på alumni.usc.edu - Startsida
TitelCiteras avÅr
Practical lessons from predicting clicks on ads at facebook
X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ...
Proceedings of the Eighth International Workshop on Data Mining for Online …, 2014
3552014
Influence blocking maximization in social networks under the competitive linear threshold model
X He, G Song, W Chen, Q Jiang
Proceedings of the 2012 siam international conference on data mining, 463-474, 2012
2752012
Robust Influencer Maximization
X He, D Kempe
Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge …, 2016
1172016
Glad: group anomaly detection in social media analysis
R Yu, X He, Y Liu
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (2), 1-22, 2015
952015
Hawkestopic: A joint model for network inference and topic modeling from text-based cascades
X He, T Rekatsinas, J Foulds, L Getoor, Y Liu
International conference on machine learning, 871-880, 2015
622015
Dyngem: Deep embedding method for dynamic graphs
P Goyal, N Kamra, X He, Y Liu
arXiv preprint arXiv:1805.11273, 2018
582018
Stability of influence maximization
X He, D Kempe
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
362014
Influential node tracking on dynamic social network: An interchange greedy approach
G Song, Y Li, X Chen, X He, J Tang
IEEE Transactions on Knowledge and Data Engineering 29 (2), 359-372, 2016
312016
Price of anarchy for the n-player competitive cascade game with submodular activation functions
X He, D Kempe
International Conference on Web and Internet Economics, 232-248, 2013
242013
Influence blocking maximization in social networks under the competitive linear threshold model technical report
X He, G Song, W Chen, Q Jiang
arXiv preprint arXiv:1110.4723, 2011
182011
On influential nodes tracking in dynamic social networks
X Chen, G Song, X He, K Xie
Proceedings of the 2015 SIAM International Conference on Data Mining, 613-621, 2015
152015
Model selection for topic models via spectral decomposition
D Cheng, X He, Y Liu
Artificial Intelligence and Statistics, 183-191, 2015
142015
Learning influence functions from incomplete observations
X He, K Xu, D Kempe, Y Liu
Advances in Neural Information Processing Systems, 2073-2081, 2016
112016
mvn2vec: Preservation and collaboration in multi-view network embedding
Y Shi, F Han, X He, X He, C Yang, J Luo, J Han
arXiv preprint arXiv:1801.06597, 2018
102018
DECADE: a deep metric learning model for multivariate time series
Z Che, X He, K Xu, Y Liu
KDD workshop on mining and learning from time series, 2017
102017
Not Enough Data? Joint Inferring Multiple Diffusion Networks via Network Generation Priors
X He, Y Liu
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
62017
Stability and robustness in influence maximization
X He, D Kempe
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 1-34, 2018
52018
Learning and optimization with submodular functions
B Sankaran, M Ghazvininejad, X He, D Kale, L Cohen
arXiv preprint arXiv:1505.01576, 2015
12015
Analyzing the Number of Latent Topics via Spectral Decomposition
D Cheng, X He, Y Liu
stat 1050, 23, 2014
12014
Inferring diffusion networks with life stage heterogeneity
T Zhao, G Song, X He
Science China Information Sciences 61 (9), 092101, 2018
2018
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Artiklar 1–20