Changwei Hu
Cited by
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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
Combined sparsifying transforms for compressed sensing MRI
X Qu, X Cao, D Guo, C Hu, Z Chen
Electronics letters 46 (2), 121-123, 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
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
P Rai, C Hu, R Henao, L Carin
NIPS 2015(Spotlight Presentation), 2015
Compressed sensing MRI with combined sparsifying transforms and smoothed l0norm minimization
X Qu, X Cao, D Guo, C Hu, Z Chen
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors
C Hu, P Rai, L Carin
UAI 2015 (Plenary Oral Presentation ), 2015
Scalable Probabilistic Tensor Factorization for Binary and Count Data
P Rai, C Hu, M Harding, L Carin
IJCAI, 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
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information
C Hu, P Rai, L Carin
AISTATS 2016, 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
Deep Generative Models for Relational Data with Side Information
C Hu, P Rai, L Carin
ICML, 2017
Topic-Based Embeddings for Learning from Large Knowledge Graphs
C Hu, P Rai, L Carin
AISTATS 2016, 2016
Latent Gaussian models for topic modeling
C Hu, E Ryu, D Carlson, Y Wang, L Carin
Artificial Intelligence and Statistics, 393-401, 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
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
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
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
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
C Hu, Y Hu, S Seo
IEEE ICMLA 2019, 2019
Transfer Learning for Hierarchically Supervised Topic Models
C Hu, P Rai, L Carin
NIPS Workshop in Transfer and Multi-task Learning, 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
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