Instance- and bag-level manifold regularization for aggregate outputs classification. - Shuo Chen 008; Bin Liu 015; Mingjie Qian; Changshui Zhang (CIKM, 2009)

Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. - Guangyun Chen; Gang Chen 003; Jianwen Zhang; Shuo Chen 008; Changshui Zhang (ICDM, 2009)

Kernel K-means Based Framework for Aggregate Outputs Classification. - Shuo Chen 008; Bin Liu 015; Mingjie Qian; Changshui Zhang (ICDM Workshops, 2009)

Sparse Norm-Regularized Reconstructive Coefficients Learning. - Bin Liu 015; Shuo Chen 008; Mingjie Qian; Changshui Zhang (ICDM, 2009)

Selecting Informative Universum Sample for Semi-Supervised Learning. - Shuo Chen 008; Changshui Zhang (IJCAI, 2009)

What if the Irresponsible Teachers Are Dominating? - Shuo Chen 008; Jianwen Zhang; Guangyun Chen; Changshui Zhang (AAAI, 2010)

Learning to Embed Songs and Tags for Playlist Prediction. - Joshua L. Moore; Shuo Chen 008; Thorsten Joachims; Douglas R. Turnbull (ISMIR, 2012)

Playlist prediction via metric embedding. - Shuo Chen 008; Joshua L. Moore; Douglas R. Turnbull; Thorsten Joachims (KDD, 2012)

Taste Over Time: The Temporal Dynamics of User Preferences. - Joshua L. Moore; Shuo Chen 008; Douglas R. Turnbull; Thorsten Joachims (ISMIR, 2013)

Multi-space probabilistic sequence modeling. - Shuo Chen 008; Jiexun Xu; Thorsten Joachims (KDD, 2013)

Predicting Matchups and Preferences in Context. - Shuo Chen 008; Thorsten Joachims (KDD, 2016)

Modeling Intransitivity in Matchup and Comparison Data. - Shuo Chen 008; Thorsten Joachims (WSDM, 2016)

Representation learning for sequence and comparison data. - Shuo Chen 008 (2016)

Deep Multi-species Embedding. - Di Chen 001; Yexiang Xue; Daniel Fink 002; Shuo Chen 008; Carla P. Gomes (IJCAI, 2017)