Chen Luo

According to our database, Chen Luo authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CAPS: A Practical Partition Index for Filtered Similarity Search.

Gaurav Gupta, Jonah Yi, Benjamin Coleman, Chen Luo, Vihan Lakshman, Anshumali Shrivastava

CoRR, 2023

2019

Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS).

Chen Luo, Anshumali Shrivastava

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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Chen Luo, Anshumali Shrivastava

CoRR, 2018

Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge.

Chen Luo, Anshumali Shrivastava

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

TINET: Learning Invariant Networks via Knowledge Transfer.

Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks.

Cheng Cao, Zhengzhang Chen, James Caverlee, Lu-An Tang, Chen Luo, Zhichun Li

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Jaccard Affiliation Graph (JAG) Model For Explaining Overlapping Community Behaviors.

Chen Luo, Anshumali Shrivastava

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer.

Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li

CoRR, 2017

Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection via Cache Lookups.

Chen Luo, Anshumali Shrivastava

CoRR, 2017

Location detection for navigation using IMUs with a map through coarse-grained machine learning.

E. J. Jose Gonzalez, Chen Luo, Anshumali Shrivastava, Krishna V. Palem, Yongshik Moon, Soonhyun Noh, Daedong Park, Seongsoo Hong

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

CaPSuLe: A camera-based positioning system using learning.

Yongshik Moon, Soonhyun Noh, Daedong Park, Chen Luo, Anshumali Shrivastava, Seongsoo Hong, Krishna V. Palem

Proceedings of the 29th IEEE International System-on-Chip Conference, 2016

SSH (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time Series.

Chen Luo, Anshumali Shrivastava

Proceedings of the NIPS 2016 Time Series Workshop, 2016