9 citations · 17 across the 5 of their papers we have counts for
5 papers
Review Regularized Neural Collaborative Filtering
Zhimeng Pan, Wenzheng Tao, Qingyao Ai
In recent years, text-aware collaborative filtering methods have been proposed to address essential challenges in recommendations such as data sparsity, cold start problem, and lon…
3D Computational Cannula Fluorescence Microscopy enabled by Artificial Neural Networks
Ruipeng Guo, Zhimeng Pan, Andrew Taibi +2
Computational Cannula Microscopy (CCM) is a high-resolution widefield fluorescence imaging approach deep inside tissue, which is minimally invasive. Rather than using conventional…
Streaming Probabilistic Deep Tensor Factorization
Shikai Fang, Zheng Wang, Zhimeng Pan +2
Despite the success of existing tensor factorization methods, most of them conduct a multilinear decomposition, and rarely exploit powerful modeling frameworks, like deep neural ne…
Computational Cannula Microscopy of neurons using Neural Networks
Ruipeng Guo, Zhimeng Pan, Andrew Taibi +2
Computational Cannula Microscopy is a minimally invasive imaging technique that can enable high-resolution imaging deep inside tissue. Here, we apply artificial neural networks to…
Machine-learning enables Image Reconstruction and Classification in a "see-through" camera
Zhimeng Pan, Brian Rodriguez, Rajesh Menon
We demonstrate that image reconstruction can be achieved via a convolutional neural network for a "see-through" computational camera comprised of a transparent window and a CMOS im…