General Lab Information

Xi Yu

Research Associate Computational Science, Comput. Sci. Mach. Learning, Computational Science Initiative

Xi Yu

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-196
P.O. Box 5000
Upton, NY 11973-5000

Education | Appointments | Publications | Awards

Education

  • Ph.D in Electrical Engineering , University of Florida (2022) 
  • Master in Electrical Engineering , University of Florida (2019) 

Professional Appointments

  • Postdoctoral Research Associate in Computational Science Initiative, Brookhaven National Laboratory 06/2022-Present.
  • Research Intern in Signal Processing Group, Mitsubishi Electric Research Laboratories 05/2021-08/2021

Selected Publications

  • Yu X, Wu L, Lin Y, et al (2024) Ultrafast Bragg coherent diffraction imaging of epitaxial thin films using deep complex-valued neural networks. npj Computational Materials 10:. https://doi.org/10.1038/s41524-024-01208-7
  • Yu X, Smedemark-Margulies N, Aeron S, et al (2023) Improving Adversarial Robustness by Learning Shared Information. Pattern Recognition 109054. https://doi.org/10.1016/j.patcog.2022.109054
  • Li Y, Yu X, Yu S, Chen B (2022) Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces. 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP). https://doi.org/10.1109/mlsp55214.2022.9943479
  • Alesiani F, Yu S, Yu X (2021) Gated Information Bottleneck for Generalization in Sequential Environments. 2021 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm51629.2021.00010
  • Yu S, Alesiani F, Yu X, et al (2021) Measuring Dependence with Matrix-based Entropy Functional. Proceedings of the AAAI Conference on Artificial Intelligence 35:10781–10789. https://doi.org/10.1609/aaai.v35i12.17288
  • Yu X, Yu S, Principe JC (2021) Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414151
  • Yu X, Ouyang B, Principe JC (2021) Coral Image Segmentation with Point-Supervision via Latent Dirichlet Allocation with Spatial Coherence. Journal of Marine Science and Engineering 9:157. https://doi.org/10.3390/jmse9020157
  • Yu X, Ouyang B, Principe JC, et al (2020) Sparsely labeled coral images segmentation with Latent Dirichlet Allocation. Global Oceans 2020: Singapore – US Gulf Coast. https://doi.org/10.1109/ieeeconf38699.2020.9389004
  • Yu X, Ouyang B, Principe JC, et al (2019) Weakly supervised learning of point-level annotation for coral image segmentation. OCEANS 2019 MTS/IEEE SEATTLE. https://doi.org/10.23919/oceans40490.2019.8962759
  • Yu X, Ma Y, Farrington S, et al (2019) Fast segmentation for large and sparsely labeled coral images. 2019 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn.2019.8852014
  • Yu, S., Yu, X., Løkse, S., Jenssen, R. and Principe, J.C., 2023, October. Cauchy-Schwarz Divergence Information Bottleneck for Regression. In The Twelfth International Conference on Learning Representations. https://openreview.net/pdf?id=7wY67ZDQTE

Awards & Recognition

  • Student Attendance Award ICDM 2021
  • Academic Achievement Award Scholarship, University of Florida 08/2017 - 12/2018
Xi Yu

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-196
P.O. Box 5000
Upton, NY 11973-5000

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