Hui Miao

According to our database, Hui Miao authored at least 19 papers between 2013 and 2019.

Collaborative distances:

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

2019

Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization.

Hui Miao, Amol Deshpande

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Provenance Management for Collaborative Data Science Workflows.

Hui Miao

PhD thesis, 2018

ProvDB: Provenance-enabled Lifecycle Management of Collaborative Data Analysis Workflows.

Hui Miao, Amol Deshpande

IEEE Data Eng. Bull., 2018

2017

ProvDB: Lifecycle Management of Collaborative Analysis Workflows.

Hui Miao, Amit Chavan, Amol Deshpande

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

On Model Discovery For Hosted Data Science Projects.

Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande

Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017

ModelHub: Deep Learning Lifecycle Management.

Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Towards Unified Data and Lifecycle Management for Deep Learning.

Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Social network ad allocation and optimization: a geometric mapping-based approach.

Peixin Gao, Hui Miao, John S. Baras, MohammadTaghi Hajiaghayi

Soc. Netw. Anal. Min., 2016

ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning.

Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande

CoRR, 2016

ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows.

Hui Miao, Amit Chavan, Amol Deshpande

CoRR, 2016

STAR: Semiring Trust Inference for Trust-Aware Social Recommenders.

Peixin Gao, Hui Miao, John S. Baras, Jennifer Golbeck

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Using Semantics and Statistics to Turn Data into Knowledge.

Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen

AI Mag., 2015

HyperCubeMap: Optimal Social Network Ad Allocation Using Hyperbolic Embedding.

Hui Miao, Peixin Gao, MohammadTaghi Hajiaghayi, John S. Baras

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Social network ad allocation via hyperbolic embedding.

Peixin Gao, Hui Miao, John S. Baras

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

GRDB: a system for declarative and interactive analysis of noisy information networks.

Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Knowledge Graph Identification.

Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen

Proceedings of the Semantic Web - ISWC 2013, 2013

Ontology-aware partitioning for knowledge graph identification.

Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

A hypergraph-partitioned vertex programming approach for large-scale consensus optimization.

Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Large-Scale Knowledge Graph Identification Using PSL.

Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013