activity
20142019
most citedResonant Scanning with Large Field of View Reduces Photobleaching and Enhances Fluorescence Yield in STED Microscopy

48 citations · 80 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2019★ 1 cited

Cross-Channel Intragroup Sparsity Neural Network

Zhilin Yu, Chao Wang, Xin Wang +3

Modern deep neural networks rely on overparameterization to achieve state-of-the-art generalization. But overparameterized models are computationally expensive. Network pruning is…

cs.CV2016★ 18 cited

Binarized Neural Networks on the ImageNet Classification Task

Xundong Wu, Yong Wu, Yong Zhao

We trained Binarized Neural Networks (BNNs) on the high resolution ImageNet ILSVRC-2102 dataset classification task and achieved a good performance. With a moderate size network of…

cs.NE2015★ 13 cited

An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation

Xundong Wu

To build the connectomics map of the brain, we developed a new algorithm that can automatically refine the Membrane Detection Probability Maps (MDPM) generated to perform automatic…

physics.optics2015

Highly Nonlinear Luminescence Induced by Gold Nanoparticles on Glass Surfaces with Continuous-Wave Laser Illumination

Yong Wu, Xundong Wu, Ligia Toro +1

We report on highly nonlinear luminescence being observed from individual spherical gold nanoparticles immobilized on a glass surface and illuminated by continuous-wave (CW) lasers…

physics.bio-ph2014★ 48 cited

Resonant Scanning with Large Field of View Reduces Photobleaching and Enhances Fluorescence Yield in STED Microscopy

Yong Wu, Xundong Wu, Rong Lu +3

Photobleaching is a major limitation of superresolution Stimulated Depletion Emission (STED) microscopy. Fast scanning has long been considered an effective means to reduce photobl…