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Kevin G. Yager
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- affiliation: Brookhaven National Lab, NY, USA
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Journal Articles
- 2021
- [j3]Francis J. Alexander
, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha
, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar
, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof
, Peter Nugent, Yosuke Oyama, Thomas Proffen
, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram
, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney
, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo
, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j2]Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. IEEE Trans. Vis. Comput. Graph. 27(2): 1312-1321 (2021) - 2018
- [j1]Wen Zhong, Wei Xu, Kevin G. Yager, Gregory S. Doerk, Jian Zhao, Yunke Tian, Sungsoo Ha, Cong Xie, Yuan Zhong, Klaus Mueller, Kerstin Kleese van Dam
:
MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views. Vis. Informatics 2(1): 14-25 (2018)
Conference and Workshop Papers
- 2022
- [c8]Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin:
Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization. WACV 2022: 101-109 - 2020
- [c7]Ziqiao Guan, Kevin G. Yager, Dantong Yu, Hong Qin:
Multi-Label Visual Feature Learning with Attentional Aggregation. WACV 2020: 2190-2198 - 2019
- [c6]Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin:
PtychoNet: Fast and High Quality Phase Retrieval for Ptychography. BMVC 2019: 207 - 2018
- [c5]Ziqiao Guan, Hong Qin, Kevin G. Yager, Youngwoo Choo, Dantong Yu:
Automatic X-ray Scattering Image Annotation via Double-View Fourier-Bessel Convolutional Networks. BMVC 2018: 245 - [c4]Pranjal Sahu, Dantong Yu, Kevin G. Yager, Mallesham Dasari, Hong Qin:
In-Operando Tracking and Prediction of Transition in Material System using LSTM. AI-Science@HPDC 2018: 6:1-6:4 - 2017
- [c3]Boyu Wang, Kevin G. Yager
, Dantong Yu, Minh Hoai:
X-Ray Scattering Image Classification Using Deep Learning. WACV 2017: 697-704 - 2014
- [c2]Hao Huang, Shinjae Yoo
, Konstantine Kaznatcheev, Kevin G. Yager
, Fang Lu, Dantong Yu, Oleg Gang, Andrei Fluerasu, Hong Qin:
Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. SAC 2014: 85-90 - [c1]M. Hadi Kiapour, Kevin G. Yager
, Alexander C. Berg, Tamara L. Berg:
Materials discovery: Fine-grained classification of X-ray scattering images. WACV 2014: 933-940
Informal and Other Publications
- 2024
- [i6]Kevin G. Yager:
Towards a Science Exocortex. CoRR abs/2406.17809 (2024) - 2023
- [i5]Kevin G. Yager:
Domain-specific ChatBots for Science using Embeddings. CoRR abs/2306.10067 (2023) - [i4]Daniel Potemkin, Carlos Soto, Ruipeng Li, Kevin G. Yager, Esther H. R. Tsai:
Virtual Scientific Companion for Synchrotron Beamlines: A Prototype. CoRR abs/2312.17180 (2023) - 2020
- [i3]Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. CoRR abs/2009.02256 (2020) - 2019
- [i2]Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images. CoRR abs/1910.04357 (2019) - 2016
- [i1]Boyu Wang, Kevin G. Yager, Dantong Yu, Minh Hoai:
X-ray Scattering Image Classification Using Deep Learning. CoRR abs/1611.03313 (2016)
Coauthor Index
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last updated on 2024-08-05 21:24 CEST by the dblp team
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