Publications

* Co-first authorship

1. Yi J, Gao J, Wang T, Wu X, Xu W. Outlier detection using generative models with theoretical performance guarantees. IEEE Transactions on Information Theory. 2025 May;71(5):4012-31. link, arxiv 2018, arxiv 2023

2. Miller R*, Yi J*, Shanbhag A, Michalowska A, Patel K, Lemley M, Ramirez G, Geers J, Chareonthaitawee P, Wopperer S, Berman D, Di Carli M, Dey D, Slomka P. Cardiometabolic insights by deep learning-enabled 3D body composition from cardiac PET/CT. European Heart Journal (in press). link 

3. Yi J*, Michalowska AM*, Shanbhag A, Miller RJ, Geers J, Zhang W, Killekar A, Manral N, Lemley M, Buchwald M, Kwiecinski J. AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study. medRxiv. 2024 Aug 1. Lancet Digital Health (in press). link, medRxiv 2024    

4. Yi J, Dasgupta S, Cai JF, Jacob M, Gao J, Cho M, Xu W. Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach. Information and Inference: A Journal of the IMA. 2023 Sep;12(3):2351-405. pdf, arxiv 2017 

5. Yi J, Zhang Q, Chen Z, Liu Q, Shao W, He Y, Wang Y. Mutual information learned regressor: an information-theoretic viewpoint of training regression systems. arXiv preprint arXiv:2211.12685. 2022 Nov 23. arxiv 2022 

6. Yi J, Zhang Q, Chen Z, Liu Q, Shao W. Mutual information learned classifiers: an information-theoretic viewpoint of training deep learning classification systems. arXiv preprint arXiv:2210.01000. 2022 Oct 3. arixv 2022 

7. Yi J, Adams QE, Hopfensperger KM, Flynn RT, Kim Y, Buatti JM, Xu W, Wu X. Optimal needle placement for prostate rotating-shield brachytherapy (RSBT). arXiv preprint arXiv:2110.07841. 2021 Oct 15. arxiv 2021 

8. Yi J. Towards adversarial and non-adversarial robustness of machine learning and signal processing: fundamental limits and algorithms (Doctoral dissertation, The University of Iowa). pdf 

9. Yi J, Xu W. Necessary and sufficient null space condition for nuclear norm minimization in low-rank matrix recovery. IEEE transactions on information theory. 2020 Apr 28;66(10):6597-604. pdf, arxiv 2018 

10. Yi J, Xie H, Zhou L, Wu X, Xu W, Mudumbai R. Trust but verify: an information-theoretic explanation for the adversarial fragility of machine learning systems, and a general defense against adversarial attacks. arXiv preprint arXiv:1905.11381. 2019 May 25. arxiv 2019 

* Co-first authorship

1. Zhang W, Miller RJ, Patel K, Shanbhag A, Liang J, Lemley M, Ramirez G, Builoff V, Yi J, Zhou J, Kavanagh P. AI-based identification of patients who benefit from revascularization: a multicenter study. medRxiv. 2025:2025-06. pdf 

2. Yi J, Patel K, Miller RJ, Marcinkiewicz AM, Shanbhag A, Hijazi W, Dharmavaram N, Lemley M, Zhou J, Zhang W, Liang JX. AI-based Hepatic Steatosis Detection and Integrated Hepatic Assessment from Cardiac CT Attenuation Scans Enhances All-cause Mortality Risk Stratification: A Multi-center Study. medRxiv. 2025:2025-06. pdf 

3. Gao J, Mudumbai R, Wu X, Yi J, Xu C, Xie H, Xu W. Towards unlocking the mystery of adversarial fragility of neural networks. arXiv preprint arXiv:2406.16200. 2024 Jun 23. pdf 

4. Yi J, Zhang Q, Chen Z, Liu Q, Shao W, He Y, Wang Y. Mutual information learned regressor: an information-theoretic viewpoint of training regression systems. arXiv preprint arXiv:2211.12685. 2022 Nov 23. arxiv 2022 

5. Yi J, Zhang Q, Chen Z, Liu Q, Shao W. Mutual information learned classifiers: an information-theoretic viewpoint of training deep learning classification systems. arXiv preprint arXiv:2210.01000. 2022 Oct 3. arixv 2022 

6. Yi J, Adams QE, Hopfensperger KM, Flynn RT, Kim Y, Buatti JM, Xu W, Wu X. Optimal needle placement for prostate rotating-shield brachytherapy (RSBT). arXiv preprint arXiv:2110.07841. 2021 Oct 15. arxiv 2021 

7. Yi J. Solving large scale quadratic constrained basis pursuit. arXiv preprint arXiv:2104.02475. 2021 Apr 2. arxiv 2021 

8. Yi J, Cho M, Wu X, Mudumbai R, Xu W. Optimal pooling matrix design for group testing with dilution (row degree) constraints. arXiv preprint arXiv:2008.01944. 2020 Aug 5. arxiv 2020 

9. Yi J, Cho M, Wu X, Xu W, Mudumbai R. Error correction codes for COVID-19 virus and antibody testing: Using pooled testing to increase test reliability. arXiv preprint arXiv:2007.14919. 2020 Jul 29. arxiv 2020 

10. Yi J, Mudumbai R, Xu W. Derivation of information-theoretically optimal adversarial attacks with applications to robust machine learning. arXiv preprint arXiv:2007.14042. 2020 Jul 28. arxiv 2020 

11. Yi J, Mudumbai R, Xu W. Low-cost and high-throughput testing of COVID-19 viruses and antibodies via compressed sensing: system concepts and computational experiments. arXiv preprint arXiv:2004.05759. 2020 Apr 13. arixv 2020 

12. Khan Z, Yi J, Mudumbai R, Wu X, Xu W. Do deep minds think alike? Selective adversarial attacks for fine-grained manipulation of multiple deep neural networks. arXiv preprint arXiv:2003.11816. 2020 Mar 26. arxiv 2020 

13. Yi J, Xie H, Zhou L, Wu X, Xu W, Mudumbai R. Trust but verify: an information-theoretic explanation for the adversarial fragility of machine learning systems, and a general defense against adversarial attacks. arXiv preprint arXiv:1905.11381. 2019 May 25. arxiv 2019 

1. Yi J, Patel K, Marcinkiewicz A, Shanbhag A, Miller R, Zhang W, Killekar A, Lemley M, Zhou J, Liang J, Ramirez G, Builoff V, Ruddy T, Einstein A, Feher A, Miller E, Berman D, Dey D, Slomka P. AI-based integrated body composition assessment from cardiac SPECT CT attenuation maps and its association with mortality. (Society of Nuclear Medicine and Molecular Imaging 2025). slides, poster  

2. Yi J, Patel K, Marcinkiewicz A, Shanbhag AD, Miller RJ, Killekar A, Lemley M, Zhou J, Liang J, Ramirez G, Builoff V, Ruddy T, Einstein A, Feher A, Miller E, Berman D, Dey D, Slomka P. AI-based liver quantification from cardiac SPECT/CT attenuation maps and association of hepatic steatosis with mortality. Journal of the American College of Cardiology. 2025 Apr 1;85(12_Supplement):2022 (American College of Cardiology 2025). pdf, poster 

3. Pan C, Luo Z, Zhang J, Shi L, Yi J, Yang Z. Federated Twin Delayed Deep Deterministic Policy Gradient for Delay and Energy Consumption Optimization in Urban Air Mobility with UAV-Assisted MEC. Drones. 2025;9(2):137. pdf 

4. Miller R*, Yi J*, Shanbhag A, Michalowska A, Patel K, Lemley M, Ramirez G, Geers J, Chareonthaitawee P, Wopperer S, Berman D, Di Carli M, Dey D, Slomka P. Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study. European Heart Journal. 2025 Mar 30:ehaf131. pdf 

5. Yi J*, Michalowska AM*, Shanbhag A, Miller RJ, Geers J, Zhang W, Killekar A, Manral N, Lemley M, Buchwald M, Kwiecinski J. AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study. The Lancet Digital Health. 2025 May 16. pdf, medRxiv 2024

6. Zhou J, Shanbhag AD, Han D, Michalowska AM, Buchwald M, Miller RJ, Killekar A, Manral N, Grodecki K, Geers J, Pieszko K. Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment. European Heart Journal-Cardiovascular Imaging. 2025 Jan 16:jeaf007. pdf 

7. Yi J*, Gao J*, Wang T, Wu X, Xu W. Outlier Detection Using Generative Models with Theoretical Performance Guarantees. IEEE transactions on information theory. 2024 Dec 11. pdf 

8. Zhang W, Fujito H, Shanbhag A, Yi J, Miller R, Mikolaj B, Lemley M, Kavanagh P, Liang J, Zhou J, Bednarski B. AI-based approach to improve coronary artery disease diagnosis from cardiac PET. Journal of Nuclear Medicine June 2024, 65 (supplement 2) 242339. pdf 

9. Yi J, Michalowska A, Shanbhag A, Miller R, Zhang W, Killekar A, Manral N, Lemley M, Zhou J, Bednarski B, Liang J. Volumetric assessment of body composition from cardiac SPECT CT attenuation maps and association of sarcopenia measures with mortality. Journal of Nuclear Medicine June 2024 (Society of Nuclear Medicine and Molecular Imaging 2024). pdf, slides, poster   

10. Yi J, Cho M, Gao J, Wu X, Xu W, Mudumbai R. Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability. In2023 57th IEEE Asilomar Conference on Signals, Systems, and Computers 2023 Oct 29 (pp. 960-964). pdf 

11. Yi J, Dasgupta S, Cai JF, Jacob M, Gao J, Cho M, Xu W. Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach. Information and Inference: A Journal of the IMA. 2023 Sep;12(3):2351-405. pdf, arxiv 2017  

12. Gao J, Yi J, Xu W. Outlier detection for generative models with performance guarantees. In 2023 57th Annual Conference on Information Sciences and Systems (CISS) 2023 Mar 22 (pp. 1-6). IEEE. pdf  

13. Waldstein KA*, Yi J*, Cho M, Mudumbai R, Wu X, Varga SM, Xu W. Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond. PLoS Computational Biology. 2022 Oct 24;18(10):e1010629. pdf, medRxiv 2021 

14. Yi J. Towards adversarial and non-adversarial robustness of machine learning and signal processing: fundamental limits and algorithms (Doctoral dissertation, The University of Iowa). pdf 

15. Yi J, Xu W. Necessary and sufficient null space condition for nuclear norm minimization in low-rank matrix recovery. IEEE Transactions on Information Theory. 2020 Apr 28;66(10):6597-604. pdf, arxiv 2018  

16. Xie H*, Yi J*, Xu W, Mudumbai R. An information-theoretic explanation for the adversarial fragility of ai classifiers. In2019 IEEE International Symposium on Information Theory (ISIT) 2019 Jul 7 (pp. 1977-1981). IEEE. pdf, arxiv 2019, arxiv 2019 v2   

17. Yi J, Wu X, Adams Q, Hopfensperger K, Patwardhan K, Flynn R, Kim Y, Xu W. Optimized rotating shield brachytherapy treatment plan under treatment time budget. Medical Physics. 2019;46(6):e562. pdf  

18. Pan C, Yi J, Yin C, Yu J, Li X. Joint 3D UAV placement and resource allocation in software-defined cellular networks with wireless backhaul. IEEE Access. 2019 Jul 10;7:104279-93. pdf 

19. Xu W*, Yi J*, Dasgupta S, Cai JF, Jacob M, Cho M. Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach. In2018 IEEE International Symposium on Information Theory (ISIT) 2018 Jun 17 (pp. 76-80). IEEE. pdf, arxiv 2017 

20. Le AD, Yi J, Kim Y, Flynn R, Xu W, Wu X. Keyway selection optimization for multi-helix rotating shield brachytherapy (H-RSBT). Medical Physics. 2018;45(6). pdf 

21. Cho M, Wu X, Dadkhah H, Yi J, Flynn RT, Kim Y, Xu W. Fast dose optimization for rotating shield brachytherapy. Medical Physics. 2017 Oct;44(10):5384-92. pdf 

1. Wu X, Xu W, Yi J, inventors; University of Iowa Research Foundation UIRF, assignee. High-dose-rate brachytherapy with optimal needle placement for prostate cancer. United States patent application US 18/170,784. 2023 Aug 24. pdf

2. Xu W, Wu X, Yi J, Mudumbai R, Cho M, inventors; University of Iowa Research Foundation UIRF, Penn State Research Foundation, assignee. Pooled testing methods using compressed sensing for increasing the throughput and reliability of tests for the detection of defective units in a population. United States patent application US 17/387,863. 2022 Feb 3. pdf