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Title
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Cited by
Year
Hete-cf: Social-based collaborative filtering recommendation using heterogeneous relations
C Luo, W Pang, Z Wang, C Lin
2014 IEEE International Conference on Data Mining, 917-922, 2014
1192014
Correlating events with time series for incident diagnosis
C Luo, JG Lou, Q Lin, Q Fu, R Ding, D Zhang, Z Wang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
962014
Hetpathmine: A novel transductive classification algorithm on heterogeneous information networks
C Luo, R Guan, Z Wang, C Lin
European Conference on Information Retrieval, 210-221, 2014
642014
Arrays of (locality-sensitive) count estimators (ace) anomaly detection on the edge
C Luo, A Shrivastava
Proceedings of the 2018 World Wide Web Conference, 1439-1448, 2018
42*2018
Semi-supervised clustering on heterogeneous information networks
C Luo, W Pang, Z Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 548-559, 2014
382014
SSH (sketch, shingle, & hash) for indexing massive-scale time series
C Luo, A Shrivastava
NIPS 2016 Time Series Workshop, 38-58, 2017
292017
Structural temporal graph neural networks for anomaly detection in dynamic graphs
L Cai, Z Chen, C Luo, J Gui, J Ni, D Li, H Chen
Proceedings of the 30th ACM international conference on Information …, 2021
172021
Capsule: A camera-based positioning system using learning
Y Moon, S Noh, D Park, C Luo, A Shrivastava, S Hong, K Palem
2016 29th IEEE International System-on-Chip Conference (SOCC), 235-240, 2016
162016
Behavior-based community detection: Application to host assessment in enterprise information networks
C Cao, Z Chen, J Caverlee, LA Tang, C Luo, Z Li
Proceedings of the 27th ACM International Conference on Information and …, 2018
152018
TINET: Learning invariant networks via knowledge transfer
C Luo, Z Chen, LA Tang, A Shrivastava, Z Li, H Chen, J Ye
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
132018
Scaling-up split-merge mcmc with locality sensitive sampling (lss)
C Luo, A Shrivastava
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4464-4471, 2019
122019
WaveletAE: A wavelet-enhanced autoencoder for wind turbine blade icing detection
B Yuan, C Wang, C Luo, F Jiang, M Long, PS Yu, Y Liu
arXiv preprint arXiv:1902.05625, 2019
92019
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
D Zhang, Z Li, T Cao, C Luo, T Wu, H Lu, Y Song, B Yin, T Zhao, Q Yang
Proceedings of the 30th ACM International Conference on Information …, 2021
32021
Location detection for navigation using IMUs with a map through coarse-grained machine learning
EJJ Gonzalez, C Luo, A Shrivastava, K Palem, Y Moon, S Noh, D Park, ...
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
32017
Can clicks be both labels and features? Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank
T Yang, C Luo, H Lu, P Gupta, B Yin, Q Ai
22022
Knowledge transfer system for accelerating invariant network learning
Z Chen, LA Tang, LI Zhichun, C Luo
US Patent 10,511,613, 2019
22019
Jaccard affiliation graph (jag) model for explaining overlapping community behaviors
C Luo, A Shrivastava
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
22018
ROSE: Robust Caches for Amazon Product Search
C Luo, V Lakshman, A Shrivastava, T Cao, S Nag, R Goutam, H Lu, ...
12022
Some Rare LSH Gems for Large-scale Machine Learning
C Luo
Rice University, 2020
12020
Query Attribute Recommendation at Amazon Search
C Luo, W Headden, N Avudaiappan, H Jiang, T Cao, Q Yin, Y Gao, Z Li, ...
Proceedings of the 16th ACM Conference on Recommender Systems, 506-508, 2022
2022
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