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2020 – today
- 2024
[i8]Yifan Mei, Heng Ping, Mingren Shen:
The effect of self-efficacy and pair programming experience in learning results of introductory programming courses. CoRR abs/2410.15558 (2024)- 2022
- [i7]Mingren Shen, Dina Sheyfer, Troy David Loeffler, Subramanian K. R. S. Sankaranarayanan, G. Brian Stephenson, Maria K. Y. Chan
, Dane Morgan:
Machine learning for interpreting coherent X-ray speckle patterns. CoRR abs/2211.08194 (2022) - [i6]Mingren Shen, Shuoxuan Dong, Xiuyuan He:
Query Time Optimized Deep Learning Based Video Inference System. CoRR abs/2212.06905 (2022) - 2021
- [i5]Mingren Shen, Guanzhao Li, Dongxia Wu, Yudai Yaguchi, Jack C. Haley, Kevin G. Field, Dane Morgan:
A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations. CoRR abs/2108.08882 (2021) - [i4]Mingren Shen, Guanzhao Li, Dongxia Wu, Yuhan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan:
Multi defect detection and analysis of electron microscopy images with deep learning. CoRR abs/2108.08883 (2021) - [i3]Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob R. C. Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan:
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs. CoRR abs/2110.08244 (2021) - 2020
- [i2]Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan:
Assessing Graph-based Deep Learning Models for Predicting Flash Point. CoRR abs/2002.11315 (2020) - [i1]Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan:
Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation. CoRR abs/2010.15315 (2020)
2010 – 2019
- 2019
- [c1]Yilin Liu, Gregory R. Kirk, Brendon M. Nacewicz, Martin A. Styner, Mingren Shen, Dong Nie, Nagesh Adluru, Benjamin Yeske, Peter A. Ferrazzano, Andrew L. Alexander:
Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images. DART/MIL3ID@MICCAI 2019: 81-89
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