78 citations · 171 across the 8 of their papers we have counts for
8 papers
The effect of self-efficacy and pair programming experience in learning results of introductory programming courses
Yifan Mei, Heng Ping, Mingren Shen
The purpose of this study was to explore the interactive effect of self-efficacy and pair programming experience to the final learning results in introductory programming courses.…
Query Time Optimized Deep Learning Based Video Inference System
Mingren Shen, Shuoxuan Dong, Xiuyuan He
This is a project report about how we tune Focus[1], a video inference system that provides low cost and low latency, through two phases. In this report, we will decrease the query…
Machine learning for classifying and interpreting coherent X-ray speckle patterns
Mingren Shen, Dina Sheyfer, Troy David Loeffler +4
Speckle patterns produced by coherent X-ray have a close relationship with the internal structure of materials but quantitative inversion of the relationship to determine structure…
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
Ryan Jacobs, Mingren Shen, Yuhan Liu +10
In this work, we perform semantic segmentation of multiple defect types in electron microscopy images of irradiated FeCrAl alloys using a deep learning Mask Regional Convolutional…
Multi defect detection and analysis of electron microscopy images with deep learning
Mingren Shen, Guanzhao Li, Dongxia Wu +12
Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalabl…
A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations
Mingren Shen, Guanzhao Li, Dongxia Wu +4
Videos captured using Transmission Electron Microscopy (TEM) can encode details regarding the morphological and temporal evolution of a material by taking snapshots of the microstr…
Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation
Nick Lawrence, Mingren Shen, Ruiqi Yin +2
The use of accurate scanning transmission electron microscopy (STEM) image simulation methods require large computation times that can make their use infeasible for the simulation…
Assessing Graph-based Deep Learning Models for Predicting Flash Point
Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz +8
Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unme…