Zhengchun Liu | DeepAI

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Featured Co-authors

Tao Zhou
70 publications
Ian Foster
68 publications
Kyle Chard
46 publications
Yi Jiang
39 publications
E. A. Huerta
30 publications
Yudong Yao
25 publications
Ryan Chard
23 publications
Geoffrey Fox
21 publications
Ben Blaiszik
19 publications
Rajkumar Kettimuthu
11 publications
Vibhatha Abeykoon
10 publications

∙ 09/20/2022

Deep learning at the edge enables real-time streaming ptychographic imaging

Coherent microscopy techniques provide an unparalleled multi-scale view ...

27 Anakha V Babu, et al. ∙

∙ 09/03/2022

Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study

Computed Tomography (CT) is an imaging technique where information about...

5 Zhengchun Liu, et al. ∙

∙ 07/01/2022

FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy

A concise and measurable set of FAIR (Findable, Accessible, Interoperabl...

19 Nikil Ravi, et al. ∙

∙ 05/03/2022

Real-Time Streaming and Event-driven Control of Scientific Experiments

Advancements in scientific instrument sensors and connected devices prov...

0 Jakob R. Elias, et al. ∙

∙ 04/20/2022

fairDMS: Rapid Model Training by Data and Model Reuse

Extracting actionable information from data sources such as the Linac Co...

5 Ahsan Ali, et al. ∙

∙ 04/11/2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences

Powerful detectors at modern experimental facilities routinely collect d...

0 Rafael Vescovi, et al. ∙

∙ 06/22/2021

BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes

Supercomputer FCFS-based scheduling policies result in many transient id...

5 Zhengchun Liu, et al. ∙

∙ 05/28/2021

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval

Extremely high data rates at modern synchrotron and X-ray free-electron ...

11 Zhengchun Liu, et al. ∙

∙ 01/18/2021

Fast and accurate learned multiresolution dynamical downscaling for precipitation

This study develops a neural network-based approach for emulating high-r...

14 Jiali Wang, et al. ∙

∙ 09/07/2020

Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage

Modern science and engineering computing environments often feature stor...

0 Zhengchun Liu, et al. ∙

∙ 08/18/2020

BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning

X-ray diffraction based microscopy techniques such as high energy diffra...

0 Zhengchun Liu, et al. ∙

∙ 11/12/2019

Scientific Image Restoration Anywhere

The use of deep learning models within scientific experimental facilitie...

23 Vibhatha Abeykoon, et al. ∙

∙ 10/09/2019

Deep Learning Accelerated Light Source Experiments

Experimental protocols at synchrotron light sources typically process an...

0 Zhengchun Liu, et al. ∙

∙ 02/20/2019

TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks

Synchrotron-based x-ray tomography is a noninvasive imaging technique th...

14 Zhengchun Liu, et al. ∙

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