Yan Yan

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

Collaborative distances:

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

2019

Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond.

Zitao Liu, Zhexuan Xu, Yan Yan

CoRR, 2019

2018

A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic.

Zitao Liu, Yan Yan, Milos Hauskrecht

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.

Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao

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.

Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Learning from multiple annotators with varying expertise.

Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy

Mach. Learn., 2014

Active learning from uncertain crowd annotations.

Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2012

Active Learning from Multiple Knowledge Sources.

Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Active Learning from Crowds.

Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Modeling annotator expertise: Learning when everybody knows a bit of something.

Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario.

Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

Proceedings of the UAI 2010, 2010

Convex Principal Feature Selection.

Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy

Proceedings of the SIAM International Conference on Data Mining, 2010

Medical coding classification by leveraging inter-code relationships.

Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010