| 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 | 113 | 2014 |
| 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 | 93 | 2014 |
| 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 | 62 | 2014 |
| 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 | 40* | 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 | 37 | 2014 |
| SSH (sketch, shingle, & hash) for indexing massive-scale time series C Luo, A Shrivastava NIPS 2016 Time Series Workshop, 38-58, 2017 | 29 | 2017 |
| 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 | 15 | 2016 |
| 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 | 14 | 2018 |
| 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 | 13 | 2021 |
| 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 | 12 | 2019 |
| 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 | 11 | 2018 |
| 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 | 9 | 2019 |
| 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 | 3 | 2017 |
| 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 | 2 | 2021 |
| 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 | 2 | 2018 |
| Knowledge transfer system for accelerating invariant network learning Z Chen, LA Tang, LI Zhichun, C Luo US Patent 10,511,613, 2019 | 1 | 2019 |
| Some Rare LSH Gems for Large-scale Machine Learning C Luo Rice University, 2019 | 1 | 2019 |
| Massive Text Normalization via an Efficient Randomized Algorithm N Jiang, C Luo, V Lakshman, Y Dattatreya, Y Xue Proceedings of the ACM Web Conference 2022, 2946-2956, 2022 | | 2022 |
| CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data R Feng, C Luo, Q Yin, B Yin, T Zhao, C Zhang arXiv preprint arXiv:2204.04303, 2022 | | 2022 |
| Locality-sensitive hashing to clean and normalize text logs VS Lakshman, C Luo, Y Dattatreya, N Jiang US Patent 11,244,156, 2022 | | 2022 |
Anshumali ShrivastavaRice University, ThirdAI Corp.Verified email at rice.edu
