Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization B Ning, X Qu, D Guo, C Hu, Z Chen Magnetic resonance imaging 31 (9), 1611-1622, 2013 | 77 | 2013 |

Combined sparsifying transforms for compressed sensing MRI X Qu, X Cao, D Guo, C Hu, Z Chen Electronics letters 46 (2), 121-123, 2010 | 66 | 2010 |

Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data C Hu, P Rai, C Chen, M Harding, L Carin ECML-PKDD 2015 (Best Student Paper Award), 2015 | 40 | 2015 |

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings P Rai, C Hu, R Henao, L Carin NIPS 2015(Spotlight Presentation), 2015 | 37 | 2015 |

Compressed sensing MRI with combined sparsifying transforms and smoothed l_{0}norm minimizationX Qu, X Cao, D Guo, C Hu, Z Chen 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 30 | 2010 |

Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors C Hu, P Rai, L Carin UAI 2015 (Plenary Oral Presentation ), 2015 | 29 | 2015 |

Scalable Probabilistic Tensor Factorization for Binary and Count Data P Rai, C Hu, M Harding, L Carin IJCAI, 2015 | 29 | 2015 |

Image fusion algorithm based on orientation information motivated pulse coupled neural networks X Qu, C Hu, J Yan 2008 7th World Congress on Intelligent Control and Automation, 2437-2441, 2008 | 21 | 2008 |

Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information C Hu, P Rai, L Carin AISTATS 2016, 2016 | 19 | 2016 |

Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI C Hu, X Qu, D Guo, L Bao, Z Chen Magnetic resonance imaging 29 (7), 907-915, 2011 | 13 | 2011 |

Deep Generative Models for Relational Data with Side Information C Hu, P Rai, L Carin ICML, 2017 | 8 | 2017 |

Topic-Based Embeddings for Learning from Large Knowledge Graphs C Hu, P Rai, L Carin AISTATS 2016, 2016 | 8 | 2016 |

Latent Gaussian models for topic modeling C Hu, E Ryu, D Carlson, Y Wang, L Carin Artificial Intelligence and Statistics, 393-401, 2014 | 6 | 2014 |

Study on the synthesis of heteropoly acids containing different amount of V and Mo and their catalytic performance for the direct hydroxylation of benzene to phenol J Zhang, Y Tang, Q Luo, M Jian, CW Hu Chinese Journal of Inorganic Chemistry 20 (8), 935-940, 2004 | 6 | 2004 |

Computational Phenotyping via Scalable Bayesian Tensor Factorization C Hu, R Henao, T Frank, S Bhardwaj, P Rai, L Carin NIPS Workshop on Machine Learning in Healthcare, Montreal, Canada, 2015 | 3 | 2015 |

Gaussian scale mixture-based joint reconstruction of multicomponent MR images from undersampled k-space measurements X Qu, C Hu, D Guo, L Bao, Z Chen ISMRM, 2838, 2011 | 3 | 2011 |

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference B An, J Lyu, Z Wang, C Li, C Hu, F Tan, R Zhang, Y Hu, C Chen EMNLP 2020, 2020 | 1 | 2020 |

A Deep Structural Model for Analyzing Correlated Multivariate Time Series C Hu, Y Hu, S Seo IEEE ICMLA 2019, 2019 | 1 | 2019 |

Transfer Learning for Hierarchically Supervised Topic Models C Hu, P Rai, L Carin NIPS Workshop in Transfer and Multi-task Learning, 2015 | 1* | 2015 |

What¢s in a Name? – Gender Classification of Names with Character Based Machine Learning Models Y Hu, C Hu, T Tran, T Kasturi, E Joseph, M Gillingham Data Mining and Knowledge Discovery, 2021 | | 2021 |