Shuo Chen

According to our database, Shuo Chen authored at least 14 papers between 2009 and 2017.

Collaborative distances:

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

2017

Deep Multi-species Embedding.

Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Representation learning for sequence and comparison data.

Shuo Chen

PhD thesis, 2016

Modeling Intransitivity in Matchup and Comparison Data.

Shuo Chen, Thorsten Joachims

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Predicting Matchups and Preferences in Context.

Shuo Chen, Thorsten Joachims

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2013

Multi-space probabilistic sequence modeling.

Shuo Chen, Jiexun Xu, Thorsten Joachims

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Taste Over Time: The Temporal Dynamics of User Preferences.

Joshua L. Moore, Shuo Chen, Douglas R. Turnbull, Thorsten Joachims

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

2012

Playlist prediction via metric embedding.

Shuo Chen, Joshua L. Moore, Douglas R. Turnbull, Thorsten Joachims

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning to Embed Songs and Tags for Playlist Prediction.

Joshua L. Moore, Shuo Chen, Thorsten Joachims, Douglas R. Turnbull

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2010

What if the Irresponsible Teachers Are Dominating?

Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Selecting Informative Universum Sample for Semi-Supervised Learning.

Shuo Chen, Changshui Zhang

Proceedings of the IJCAI 2009, 2009

Sparse Norm-Regularized Reconstructive Coefficients Learning.

Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang

Proceedings of the ICDM 2009, 2009

Kernel K-means Based Framework for Aggregate Outputs Classification.

Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang

Proceedings of the ICDM Workshops 2009, 2009

Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model.

Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang

Proceedings of the ICDM 2009, 2009

Instance- and bag-level manifold regularization for aggregate outputs classification.

Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009