Shinjae Yoo
Shinjae Yoo
Verified email at - Homepage
Cited by
Cited by
KBase: the United States department of energy systems biology knowledgebase
AP Arkin, RW Cottingham, CS Henry, NL Harris, RL Stevens, S Maslov, ...
Nature biotechnology 36 (7), 566-569, 2018
3D cloud detection and tracking system for solar forecast using multiple sky imagers
Z Peng, D Yu, D Huang, J Heiser, S Yoo, P Kalb
Solar Energy 118, 496-519, 2015
Third-generation sequencing and the future of genomics
H Lee, J Gurtowski, S Yoo, M Nattestad, S Marcus, S Goodwin, ...
BioRxiv, 048603, 2016
Supercomputer-based ensemble docking drug discovery pipeline with application to COVID-19
A Acharya, R Agarwal, MB Baker, J Baudry, D Bhowmik, S Boehm, ...
Journal of chemical information and modeling 60 (12), 5832-5852, 2020
Mining social networks for personalized email prioritization
S Yoo, Y Yang, F Lin, IC Moon
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
Detector tomography on IBM quantum computers and mitigation of an imperfect measurement
Y Chen, M Farahzad, S Yoo, TC Wei
Physical Review A 100 (5), 052315, 2019
Error correction and assembly complexity of single molecule sequencing reads
H Lee, J Gurtowski, S Yoo, S Marcus, WR McCombie, M Schatz
BioRxiv, 006395, 2014
Quantum long short-term memory
SYC Chen, S Yoo, YLL Fang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Federated quantum machine learning
SYC Chen, S Yoo
Entropy 23 (4), 460, 2021
Quantum convolutional neural networks for high energy physics data analysis
SYC Chen, TC Wei, C Zhang, H Yu, S Yoo
Physical Review Research 4 (1), 013231, 2022
Classification of local chemical environments from x-ray absorption spectra using supervised machine learning
MR Carbone, S Yoo, M Topsakal, D Lu
Physical Review Materials 3 (3), 033604, 2019
Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data
JH Park, HE Cho, JH Kim, MM Wall, Y Stern, H Lim, S Yoo, HS Kim, J Cha
NPJ digital medicine 3 (1), 46, 2020
Computing just what you need: Online data analysis and reduction at extreme scales
I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ...
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
Machine-learning X-ray absorption spectra to quantitative accuracy
MR Carbone, M Topsakal, D Lu, S Yoo
Physical review letters 124 (15), 156401, 2020
Cloud motion estimation for short term solar irradiation prediction
H Huang, J Xu, Z Peng, S Yoo, D Yu, D Huang, H Qin
2013 IEEE International Conference on Smart Grid Communications …, 2013
The DOE systems biology knowledgebase (KBase)
AP Arkin, RL Stevens, RW Cottingham, S Maslov, CS Henry, P Dehal, ...
BioRxiv, 096354, 2016
Extreme heterogeneity 2018-productive computational science in the era of extreme heterogeneity: Report for DOE ASCR workshop on extreme heterogeneity
JS Vetter, R Brightwell, M Gokhale, P McCormick, R Ross, J Shalf, ...
USDOE Office of Science (SC), Washington, DC (United States), 2018
Application of quantum machine learning using the quantum kernel algorithm on high energy physics analysis at the LHC
SL Wu, S Sun, W Guan, C Zhou, J Chan, CL Cheng, T Pham, Y Qian, ...
Physical Review Research 3 (3), 033221, 2021
Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and …
SL Wu, J Chan, W Guan, S Sun, A Wang, C Zhou, M Livny, F Carminati, ...
Journal of Physics G: Nuclear and Particle Physics 48 (12), 125003, 2021
Visual detection with context for document layout analysis
C Soto, S Yoo
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20