Yan Yan

Affiliations:
  • Yahoo! Labs, Sunnyvale, CA, USA
  • Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA (former)


According to our database1, Yan Yan authored at least 12 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2019
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond.
CoRR, 2019

2018
A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Practical Deep Online Ranking System in E-commerce Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2015
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Learning from multiple annotators with varying expertise.
Mach. Learn., 2014

Active learning from uncertain crowd annotations.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2012
Active Learning from Multiple Knowledge Sources.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Active Learning from Crowds.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Modeling annotator expertise: Learning when everybody knows a bit of something.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario.
Proceedings of the UAI 2010, 2010

Convex Principal Feature Selection.
Proceedings of the SIAM International Conference on Data Mining, 2010

Medical coding classification by leveraging inter-code relationships.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010


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