Honors and Awards
Selected Grants
Federated and imbalanced learning for medical NLP
Sun, J.; CISCO SYSTEMS, INC; 12/7/22 - 12/31/23
CPS: Medium: Smart Tracking Systems for Safe and Smooth Interactions Between Scooters and Road Vehicles
Rajamani, R., Morris, N. L. & Sun, J.; National Science Foundation; 1/1/21 - 12/31/23
FAIR Framework for Physics-Inspired AI in High Energy Physics
Sun, J.; Department of Energy; 1/1/20 - 12/31/23
Selected Publications
2023
Shen, L., Chen, C., Zou, F., Jie, Z., Sun, J., Liu, W. (2023). A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration. IEEE Transactions on Neural Networks and Learning Systems. [1-9].
DOI: 10.1109/TNNLS.2023.3279381
Peng, L., Luo, G., Walker, A., Zaiman, Z., Jones, E.K., Gupta, H., Kersten, K., Burns, J.L., Harle, C.A., Magoc, T., Shickel, B., Steenburg, S.D., Loftus, T., Melton, G.B., Gichoya, J.W., Sun, J., Tignanelli, C.J. (2023). Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. Journal of the American Medical Informatics Association. 30 (1), [54-63].
DOI: 10.1093/jamia/ocac188
Final published version
2022
Sun, J., Peng, L., Li, T., Adila, D., Zaiman, Z., Melton-Meaux, G.B., Ingraham, N.E., Murray, E., Boley, D., Switzer, S., Burns, J.L., Huang, K., Allen, T.L., Steenburg, S.D., Gichoya, J.W., Kummerfeld, E., Tignanelli, C.J. (2022). Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study. Radiology: Artificial Intelligence. 4 (4), [e210217].
DOI: 10.1148/ryai.210217
Barmherzig, D.A., Sun, J. (2022). Towards practical holographic coherent diffraction imaging via maximum likelihood estimation. Optics Express. 30 (5), [6886-6906].
DOI: 10.1364/OE.445015
2021
Manekar, R., Tayal, K., Zhuang, Z., Lai, C.H., Kumar, V., Sun, J. (2021). Breaking symmetries in data-driven phase retrieval. Optics InfoBase Conference Papers. [CTh4A.4].
Taha, B., Li, T., Boley, D., Chen, C.C., Sun, J. (2021). Detection of Isocitrate Dehydrogenase Mutated Glioblastomas through Anomaly Detection Analytics. Neurosurgery. 89 (2), [323-328].
DOI: 10.1093/neuros/nyab130
Tayal, K., Manekar, R., Zhuang, Z., Yang, D., Kumar, V., Hofmann, F., Sun, J. (2021). Phase retrieval using single-instance deep generative prior. Optics InfoBase Conference Papers. [JW2A.37].
Taha, B., Boley, D., Sun, J., Chen, C. (2021). Potential and limitations of radiomics in neuro-oncology. Journal of Clinical Neuroscience. [206-211].
DOI: 10.1016/j.jocn.2021.05.015
Taha, B., Boley, D., Sun, J., Chen, C.C. (2021). State of Radiomics in Glioblastoma. Neurosurgery. 89 (2), [177-184].
DOI: 10.1093/neuros/nyab124
2020
Cheung, S.C., Shin, J.Y., Lau, Y., Chen, Z., Sun, J., Zhang, Y., Müller, M.A., Eremin, I.M., Wright, J.N., Pasupathy, A.N. (2020). Dictionary learning in Fourier-transform scanning tunneling spectroscopy. Nature communications. 11 (1), [1081].
DOI: 10.1038/s41467-020-14633-1
Barmherzig, D.A., Sun, J. (2020). Low-photon holographic phase retrieval. Optics InfoBase Conference Papers. [JTu4A.6].
2019
Barmherzig, D.A., Sun, J., Candes, E.J., Lane, T.J., Li, P.N. (2019). Dual-Reference Design for Holographic Phase Retrieval. In 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019. (2019 13th International Conference on Sampling Theory and Applications, SampTA 2019.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/SampTA45681.2019.9030848
Barmherzig, D.A., Sun, J., Li, P.N., Lane, T.J., Candès, E.J. (2019). Holographic phase retrieval and reference design. Inverse Problems. 35 (9), [094001].
DOI: 10.1088/1361-6420/ab23d1
Bai, Y., Jiang, Q., Sun, J. (2019). Subgradient descent learns orthogonal dictionaries. Paper presented at 7th International Conference on Learning Representations, ICLR 2019.
2018
Barmherzig, D., Sun, J. (2018). 1D phase retrieval and spectral factorization. In Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2018. (Optics InfoBase Conference Papers. Part F103-LACSEA 2018.). Optica Publishing Group (formerly OSA).
DOI: 10.1364/LACSEA.2018.JTh1A.4
Sun, J., Qu, Q., Wright, J. (2018). A Geometric Analysis of Phase Retrieval. Foundations of Computational Mathematics. 18 (5), [1131-1198].
DOI: 10.1007/s10208-017-9365-9
Lu, T., Wu, K., Yang, Z., Sun, J. (2018). High-speed channel modeling with deep neural network for signal integrity analysis. In 2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017. (1-3). (2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017. 2018-January.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/EPEPS.2017.8329733
Lu, T., Sun, J., Wu, K., Yang, Z. (2018). High-Speed Channel Modeling with Machine Learning Methods for Signal Integrity Analysis. IEEE Transactions on Electromagnetic Compatibility. 60 (6), [8245823]. [1957-1964].
DOI: 10.1109/TEMC.2017.2784833
Barmherzig, D., Sun, J., Li, P.N., Lane, T.J. (2018). On block-reference coherent diffraction imaging. In Computational Optical Sensing and Imaging, COSI 2018. (Optics InfoBase Conference Papers. Part F99-COSI 2018.). Optica Publishing Group (formerly OSA).
DOI: 10.1364/COSI.2018.CTH1B.1
Nguyen, T., Lu, T., Sun, J., Le, Q., We, K., Schut-Aine, J. (2018). Transient Simulation for High-Speed Channels with Recurrent Neural Network. In EPEPS 2018 - IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems. (303-305). (EPEPS 2018 - IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/EPEPS.2018.8534232