m-SNE: Multiview stochastic neighbor embedding B Xie, Y Mu, D Tao, K Huang Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 41 …, 2011 | 128 | 2011 |

Subkilometer crater discovery with boosting and transfer learning W Ding, TF Stepinski, Y Mu, L Bandeira, R Ricardo, Y Wu, Z Lu, T Cao, ... ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 1-22, 2011 | 97 | 2011 |

Local discriminative distance metrics ensemble learning Y Mu, W Ding, D Tao Pattern Recognition 46 (8), 2337-2349, 2013 | 80 | 2013 |

Biologically inspired feature manifold for gait recognition Y Mu, D Tao Neurocomputing 73 (4-6), 895-902, 2010 | 36 | 2010 |

Markov blanket feature selection using representative sets K Yu, X Wu, W Ding, Y Mu, H Wang IEEE transactions on neural networks and learning systems 28 (11), 2775-2788, 2016 | 33 | 2016 |

Empirical discriminative tensor analysis for crime forecasting Y Mu, W Ding, M Morabito, D Tao Knowledge Science, Engineering and Management: 5th International Conference …, 2011 | 29 | 2011 |

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data Y Di, W Ding, Y Mu, DL Small, S Islam, NB Chang 2015 IEEE 12th International Conference on Networking, Sensing and Control …, 2015 | 28 | 2015 |

Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning X Ren, W Ding, SE Crouter, Y Mu, R Xie Applied Intelligence 45, 512-529, 2016 | 24 | 2016 |

Biologically inspired tensor features Y Mu, D Tao, X Li, F Murtagh Cognitive Computation 1, 327-341, 2009 | 21 | 2009 |

Biologically inspired model for crater detection Y Mu, W Ding, D Tao, TF Stepinski The 2011 International Joint Conference on Neural Networks, 2487-2494, 2011 | 20 | 2011 |

Markov blanket feature selection with non-faithful data distributions K Yu, X Wu, Z Zhang, Y Mu, H Wang, W Ding 2013 IEEE 13th International conference on data mining, 857-866, 2013 | 16 | 2013 |

Learning weighted distance metric from group level information and its parallel implementation H Mohebbi, Y Mu, W Ding Applied Intelligence 46, 180-196, 2017 | 13 | 2017 |

Bipart: Learning block structure for activity detection Y Mu, HZ Lo, W Ding, K Amaral, SE Crouter IEEE transactions on knowledge and data engineering 26 (10), 2397-2409, 2014 | 13 | 2014 |

Face recognition from multiple images per subject Y Mu, H Lo, W Ding, D Tao Proceedings of the 22nd ACM international conference on Multimedia, 889-892, 2014 | 8 | 2014 |

Constrained stochastic gradient descent for large-scale least squares problem Y Mu, W Ding, T Zhou, D Tao Proceedings of the 19th ACM SIGKDD international conference on knowledge …, 2013 | 8 | 2013 |

Cascading Crater Detection with Active Learning WI Miller, TF Stepinski, Y Mu, W Ding 42nd Annual Lunar and Planetary Science conference, 1469, 2011 | 6 | 2011 |

Local discriminative distance metrics and their real world applications Y Mu, W Ding 2013 IEEE 13th International Conference on Data Mining Workshops, 1145-1152, 2013 | 4 | 2013 |

Discriminative accelerometer patterns in children physical activities Y Mu, H Lo, K Amaral, W Ding, SE Crouter | 3 | 2013 |

Random projection tree and multiview embedding for large-scale image retrieval B Xie, Y Mu, M Song, D Tao Neural Information Processing. Models and Applications: 17th International …, 2010 | 3 | 2010 |

Two-Tiered Machine Learning Model for Estimating Energy Expenditure in Children K Amaral, Y Mu, H Lo, W Ding, SE Crouter | 1 | 2013 |