Suivre
Yi Jirong
Yi Jirong
Machine Learning Research Scientist, Hologic, Inc
Adresse e-mail validée de hologic.com
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Année
Joint 3D UAV placement and resource allocation in software-defined cellular networks with wireless backhaul
C Pan, J Yi, C Yin, J Yu, X Li
IEEE Access 7, 104279-104293, 2019
662019
Low-cost and high-throughput testing of COVID-19 viruses and antibodies via compressed sensing: System concepts and computational experiments
J Yi, R Mudumbai, W Xu
arXiv preprint arXiv:2004.05759, 2020
322020
Sep] ration-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach
W Xu, J Yi, S Dasgupta, JF Cai, M Jacob, M Cho
2018 IEEE International Symposium on Information Theory (ISIT), 76-80, 2018
272018
Fast dose optimization for rotating shield brachytherapy
M Cho, X Wu, H Dadkhah, J Yi, RT Flynn, Y Kim, W Xu
Medical physics 44 (10), 5384-5392, 2017
122017
Trust but verify: an information-theoretic explanation for the adversarial fragility of machine learning systems, and a general defense against adversarial attacks
J Yi, H Xie, L Zhou, X Wu, W Xu, R Mudumbai
arXiv preprint arXiv:1905.11381, 2019
92019
Error correction codes for COVID-19 virus and antibody testing: Using pooled testing to increase test reliability
J Yi, M Cho, X Wu, W Xu, R Mudumbai
arXiv preprint arXiv:2007.14919, 2020
82020
Necessary and sufficient null space condition for nuclear norm minimization in low-rank matrix recovery
J Yi, W Xu
IEEE transactions on information theory 66 (10), 6597-6604, 2020
62020
Outlier detection using generative models with theoretical performance guarantees
J Yi, J Gao, T Wang, X Wu, W Xu
arXiv preprint arXiv:2310.09999, 2023
42023
Optimal pooling matrix design for group testing with dilution (row degree) constraints
J Yi, M Cho, X Wu, R Mudumbai, W Xu
arXiv preprint arXiv:2008.01944, 2020
42020
Derivation of information-theoretically optimal adversarial attacks with applications to robust machine learning
J Yi, R Mudumbai, W Xu
arXiv preprint arXiv:2007.14042, 2020
32020
An information-theoretic explanation for the adversarial fragility of ai classifiers
H Xie, J Yi, W Xu, R Mudumbai
2019 IEEE International Symposium on Information Theory (ISIT), 1977-1981, 2019
32019
Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond
KA Waldstein, J Yi, M Cho, R Mudumbai, X Wu, SM Varga, W Xu
PLoS computational biology 18 (10), e1010629, 2022
22022
Mutual information learned classifiers: an information-theoretic viewpoint of training deep learning classification systems
J Yi, Q Zhang, Z Chen, Q Liu, W Shao
arXiv preprint arXiv:2209.10058, 2022
22022
Towards adversarial and non-adversarial robustness of machine learning and signal processing: Fundamental limits and algorithms
J Yi
The University of Iowa, 2021
22021
Optimized rotating shield brachytherapy treatment plan under treatment time budget
J Yi, X Wu, Q Adams, K Hopfensperger, K Patwardhan, R Flynn, Y Kim, ...
Medical Physics 46 (6), e562, 2019
22019
Outlier Detection for Generative Models with Performance Guarantees
J Gao, J Yi, W Xu
2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023
12023
Optimal Needle Placement for Prostate Rotating-Shield Brachytherapy (RSBT)
J Yi, QE Adams, KM Hopfensperger, RT Flynn, Y Kim, JM Buatti, W Xu, ...
arXiv preprint arXiv:2110.07841, 2021
12021
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks
Z Khan, J Yi, R Mudumbai, X Wu, W Xu
arXiv preprint arXiv:2003.11816, 2020
12020
Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability
J Yi, M Cho, J Gao, X Wu, W Xu, R Mudumbai
2023 57th Asilomar Conference on Signals, Systems, and Computers, 960-964, 2023
2023
Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach
J Yi, S Dasgupta, JF Cai, M Jacob, J Gao, M Cho, W Xu
Information and Inference: A Journal of the IMA 12 (3), 2351-2405, 2023
2023
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