Alex Beutel
Alex Beutel
Staff Research Scientist, Google
Verified email at google.com - Homepage
TitleCited byYear
Copycatch: stopping group attacks by spotting lockstep behavior in social networks
A Beutel, W Xu, V Guruswami, C Palow, C Faloutsos
Proceedings of the 22nd international conference on World Wide Web, 119-130, 2013
2442013
Recurrent recommender networks
CY Wu, A Ahmed, A Beutel, AJ Smola, H Jing
Proceedings of the tenth ACM international conference on web search and data …, 2017
2332017
The case for learned index structures
T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis
Proceedings of the 2018 International Conference on Management of Data, 489-504, 2018
1832018
Catchsync: catching synchronized behavior in large directed graphs
M Jiang, P Cui, A Beutel, C Faloutsos, S Yang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1222014
Winner takes all: competing viruses or ideas on fair-play networks
BA Prakash, A Beutel, R Rosenfeld, C Faloutsos
Proceedings of the 21st international conference on World Wide Web, 1037-1046, 2012
1092012
Fraudar: Bounding graph fraud in the face of camouflage
B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
1072016
Interacting viruses in networks: can both survive?
A Beutel, BA Prakash, R Rosenfeld, C Faloutsos
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
992012
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop
A Beutel, A Kumar, EE Papalexakis, PP Talukdar, C Faloutsos, EP Xing
SDM 2, 521-536, 2014
912014
Data decisions and theoretical implications when adversarially learning fair representations
A Beutel, J Chen, Z Zhao, EH Chi
arXiv preprint arXiv:1707.00075, 2017
812017
Latent Cross: Making Use of Context in Recurrent Recommender Systems
A Beutel, P Covington, S Jain, C Xu, J Li, V Gatto, EH Chi
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
732018
Spotting suspicious link behavior with fbox: An adversarial perspective
N Shah, A Beutel, B Gallagher, C Faloutsos
2014 IEEE International Conference on Data Mining, 959-964, 2014
672014
Inferring strange behavior from connectivity pattern in social networks
M Jiang, P Cui, A Beutel, C Faloutsos, S Yang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 126-138, 2014
662014
Birdnest: Bayesian inference for ratings-fraud detection
B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016
622016
A General Suspiciousness Metric for Dense Blocks in Multimodal Data
M Jiang, A Beutel, P Cui, B Hooi, S Yang, C Faloutsos
Proceedings of IEEE International Conference on Data Mining (ICDM), 2015
602015
CoBaFi: Collaborative Bayesian Filtering
A Beutel, K Murray, C Faloutsos, AJ Smola
Proceedings of the 23rd international conference on World wide web, 97-108, 2014
512014
Network anomaly detection using co-clustering
EE Papalexakis, A Beutel, P Steenkiste
Encyclopedia of Social Network Analysis and Mining, 1054-1068, 2014
462014
Catching synchronized behaviors in large networks: A graph mining approach
M Jiang, P Cui, A Beutel, C Faloutsos, S Yang
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 35, 2016
432016
Sagedb: A learned database system
T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ...
372019
Detecting suspicious following behavior in multimillion-node social networks
M Jiang, P Cui, A Beutel, C Faloutsos, S Yang
Proceedings of the 23rd International Conference on World Wide Web, 305-306, 2014
342014
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly
A Beutel, A Ahmed, AJ Smola
Proceedings of the 24th International Conference on World Wide Web, 119-129, 2015
322015
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Articles 1–20